Frankfurt Game Studies II Monetization of Games - Business Information Systems Games / E-Commerce

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Frankfurt Game Studies II Monetization of Games - Business Information Systems Games / E-Commerce
Business Information Systems
           Games / E-Commerce

           Frankfurt Game Studies II                           ©

           __________________________
           Monetization of Games
           Essentials (English Version)
           Research Results II, Frankfurt, August 2021
           Devcom Presentation
                                                              https://phototravellers.de/frankfurt-sehenswuerdigkeiten/

Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law                                       1
Frankfurt Game Studies II Monetization of Games - Business Information Systems Games / E-Commerce
Frankfurt Game Studies II Monetization of Games - Business Information Systems Games / E-Commerce
Frankfurt Game Studies II Monetization of Games - Business Information Systems Games / E-Commerce
Business Information Systems
(Wirtschaftsinformatik)

-   Games & Gamification
-   Artificial Intelligence (AI)
-   Digital Leadership and -Transformation
-   E-Commerce & Digital Business

Prof. Dr. Lutz Anderie
Frankfurt Game Studies II Monetization of Games - Business Information Systems Games / E-Commerce
Business Information Systems
(Wirtschaftsinformatik)

-   Games & Gamification
-   Artificial Intelligence (AI)
-   Digital Leadership and -Transformation
-   E-Commerce & Digital Business

Prof. Dr. Lutz Anderie
Frankfurt Game Studies II Monetization of Games - Business Information Systems Games / E-Commerce
Research Team
K

        Lea Sommer                                            Kai Politycki
        Strategisches Informationsmanagement                  Strategisches Informationsmanagement
        Business Information Systems                          Business Information Systems

        Fachbereich 3: Wirtschaft & Recht                     Fachbereich 3: Wirtschaft & Recht
        Faculty 3: Business & Law                             Faculty 3: Business & Law

        Benjamin Warnebold                                     Philipp Plannet
        Strategisches Informationsmanagement                   Strategisches Informationsmanagement & Leadership
        Business Information Systems                           Business Information Systems & Leadership

        Fachbereich 3: Wirtschaft & Recht                      Fachbereich 3: Wirtschaft & Recht
        Faculty 3: Business & Law                              Faculty 3: Business & Law

                                               Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   6
Frankfurt Game Studies II Monetization of Games - Business Information Systems Games / E-Commerce
Structure

▪ Introduction
▪ Frankfurt Game Studies I
                                                                                              Monetarisierung durch
▪ Frankfurt Game Studies II                                                                   In-Game Items
                                                                                              (Mikrotransaktionen)
▪ Leading Research Questions
▪ Study Results
▪ Analysis Games Market: China and AI

                                        Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   7
Frankfurt Game Studies II Monetization of Games - Business Information Systems Games / E-Commerce
Frankfurt Game Studies   ©

                                      Games Industry

                             Business-Models
                                                                      Krypto Assets

                                       Monetization-
                                       Models

                                                   Marketing-Mix

 Fields of Research
                                                   Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht|Business and Law
Frankfurt Game Studies II Monetization of Games - Business Information Systems Games / E-Commerce
Frankfurt Game Studies   ©

                                      Games Industry

                             Business-Models
                                                                      Krypto Assets

                                       Monetization-
                                       Models

                                                   Marketing-Mix

 Fields of Research
                                                   Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht|Business and Law
Frankfurt Game Studies II Monetization of Games - Business Information Systems Games / E-Commerce
Koubek, J. / Laudon, K.
                          Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   10
Koubek, J. / Laudon, K.
                          Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   11
https://www.theloadout.com/csgo/best-skins

                                             Water Elemental (Glock)
                                             Factory New – $11 / £7.75 / €9
                                             Microtransaction – $38 / £26.79 / €31.10                                     In-Game Item
                                             Steam Community Market
                                                                                                                           Weapon Skin
                                                                                        Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   12
Big Data Analysis
                                                             Steam Community Market

Schulz, T. J.   Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   13
Structure

▪ Frankfurt Game Studies I
       Monetization-Models
       Cloud Gaming

                                                                                                                                                    Monetarisierung durch
                                                                                                                                                    In-Game Items
                                                                                                                                                    (Mikrotransaktionen)

August 2020, German Language
Available Online
https://fra-uas.hessenfis.de/converis/portal/detail/Publication/11248323?auxfun=&lang=de_DE

                                                                                              Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   14
Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   15
Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   16
Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   17
Executive Summary and Consolidated Research Results
Frankfurt Game Studies I

Subscriptions and Cloud Gaming

▪ Subscribers to Netflix and Apple Music do not show an increased affinity for cloud gaming (e.g.
  PlayStation Now)
▪ Netflixication of the games industry as a terminology describes trend
▪ Latencies affect the user experience (UX)
▪ User acceptance of subscriptions is higher for gaming platforms (e.g. PlayStation Now) than for
  individual games (e.g. World of Warcraft)

In-Game Items

▪ 54% of gamers accept in-game items
▪ Gamers who spend 100 to 200 euros a year on in-game items also buy pay-to-play games.
  Cannibalization effects negligible
▪ In-game items increasingly offered to gamers by AI
▪ Willingness to buy in-game items increases with longer game duration.

                                                             Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht|Business and Law
Executive Summary and Consolidated Research Results
Frankfurt Game Studies I

Subscriptions and Cloud Gaming

▪ Subscribers to Netflix and Apple Music do not show an increased affinity for cloud gaming (e.g.
  PlayStation Now)
▪ Netflixication of the games industry as a terminology describes trend
▪ Latencies affect the user experience (UX)
▪ User acceptance of subscriptions is higher for gaming platforms (e.g. PlayStation Now) than for
  individual games (e.g. World of Warcraft)

In-Game Items

▪ 54% of gamers accept in-game items
▪ Gamers who spend 100 to 200 € a year on in-game items also buy pay-to-play games.
  Cannibalization effects negligible
▪ In-game items increasingly offered to gamers by AI
▪ Willingness to buy in-game items increases with longer game duration.

                                                             Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht|Business and Law
Executive Summary and Consolidated Research Results
Frankfurt Game Studies I

Subscriptions and Cloud Gaming

▪ Subscribers to Netflix and Apple Music do not show an increased affinity for cloud gaming (e.g.
  PlayStation Now)
▪ Netflixication of the games industry as a terminology describes trend
▪ Latencies affect the user experience (UX)
▪ User acceptance of subscriptions is higher for gaming platforms (e.g. PlayStation Now) than for
  individual games (e.g. World of Warcraft)

In-Game Items

▪ 54% of gamers accept in-game items
▪ Gamers who spend 100 to 200 € a year on in-game items also buy pay-to-play games.
  Cannibalization effects negligible
▪ In-game items increasingly offered to gamers by AI
▪ Willingness to buy in-game items increases with longer game duration.

                                                             Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht|Business and Law
Executive Summary and Consolidated Research Results
Frankfurt Game Studies I

Subscriptions and Cloud Gaming

▪ Subscribers to Netflix and Apple Music do not show an increased affinity for cloud gaming (e.g.
  PlayStation Now)
▪ Netflixication of the games industry as a terminology describes trend
▪ Latencies affect the user experience (UX)
▪ User acceptance of subscriptions is higher for gaming platforms (e.g. PlayStation Now) than for
  individual games (e.g. World of Warcraft)

In-Game Items

▪ 54% of gamers accept in-game items
▪ Gamers who spend 100 to 200 € a year on in-game items also buy pay-to-play games.
  Cannibalization effects negligible
▪ In-game items increasingly offered to gamers by AI
▪ Willingness to buy in-game items increases with longer game duration

                                                             Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht|Business and Law
Structure

▪ Frankfurt Game Studies II
      AI-powered monetization
      in the games industry

                                                                                                                                 Monetarisierung durch
                                                                                                                                 In-Game Items
                                                                                                                                 (Mikrotransaktionen)

August 2021, German Language
Available Online
https://www.frankfurt-university.de/ https://www.anderie-management.com/
Google key words: Frankfurt Game Studies II

                                                                           Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   22
Key Aspects of the study
Study content and special focus

         Monetization through in-game
          items (microtransactions)                       User acceptance and spending                                   Monetization of
                                                              on microtransactions                                      microtransactions
   Additional offers such as virtual goods, so-
   called in-game items, Season / Battle             The correlation between user acceptance                          through the use of AI
   Passes or "Lootboxes" (boxes with virtual         and the level of spending on                       The use of machine learning & AI is among
   assets) represent an increasingly important       microtransactions possibly represents a            the powerful tools for monetization of in-
   source of revenue for the monetization of         causal relationship.                               game items. There are various application
   games. Microtransactions are therefore            The general attitude and spending towards          scenarios where AI can be used in the
   currently the dominant business model with        microtransactions as well as in relation to        monetization process of in-game items to
   strong growth.                                    Pay-2-Play and Free-2-Play games is                maximize profits.
                                                     investigated.
                                                     Frankfurt Game Studies II differentiates
                                                     between spending from €0 to €+200 per
                                                     gamer per year on computer games.

                                            >>> Analysis Excursus - Western Markets Compared to China
Types of Game
                                                                    Economy

© Anderie
            Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   24
Types of Game
                                                                    Economy

© Anderie
            Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   25
In-Game Items

© Anderie
            Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   26
Single &
                                                                    Dual Currency

© Anderie
            Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   27
Soft- &
                                                                    Hard Currency

© Anderie
            Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   28
Monetization

© Anderie
            Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   29
In-Game Items & Microtransactions
Differentiation of the different types

          Decorative Items       e.g. different appearance variants for in-game items

           Functional Items      e.g. lives, weapons and other upgrades that make the player more powerful

          Time Reductions        e.g. experience boosts, with which orders in games can be executed faster

          Additional Content     e.g. missions, stories and levels that can be played by the player

             Lootboxes           Virtual boxes that contain random items

                                                                      Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   30
Methodology and Study Design

                               A cohort study that examines a specific group of individuals who share a particular characteristic trait.
       Type of research        The survey of this cohort study refers to the common interest - "playing computer games“ (Core
                               Gamers).

                               Between December 2020 and February 2021, random sampling was conducted through internet-
   Survey period & number of
                               mediated online surveys to collect primary data. A total of 934 people participated in the study; of these,
          participants         714 surveys (n=714) were completed in full.

                                                                     Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   31
Key Research Questions
Main focus of this study

Microtransactions
▪   How strong is user acceptance of microtransactions?
▪   Which characteristics can be identified?
▪   Are there changes or differences compared to the Frankfurt Game Studies I 2020?

Spendings, playing time and genres
▪   What is the significance of players making high investments for microtransactions?
▪   Can typical characteristics be derived?                                                                                    Monetarisierung durch
                                                                                                                               In-Game Items
Artificial intelligence                                                                                                        (Mikrotransaktionen)
▪   What impact does the use of artificial intelligence have on microtransaction spending and what is the level of player
    acceptance?

                                                                         Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   32
User Acceptance
Study results regarding the correlation of user
acceptance and spending on microtransactions as
well as Pay-2-Play and Free-2-Play computer
games

                                                  Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   33
User Acceptance
Number of players who have made microtransactions

                                                                                          ▪    70.3% of respondents have already made
                                                                                               microtransactions.

                                  29,7%                                                       → Indicator for high user acceptance

Have you already                                                                          ▪    The acceptance of microtransactions increased by
                                                                      Yes
made microtransactions?                                                                        16% compared to Frankfurt Game Studies I (2020).
                                                                      No                  ▪    Microtransactions can establish themselves as a
                                                   70,3%                                       general monetization trend in the long term due to
                                                                                               the high acceptance in this industry.

n=714

                          56,6%

                                                                                          ▪    The majority of respondents spend an average of
                                                                                               0-50€ on microtransactions per year.
How much do you spend                                                                     ▪    15.7% of respondents spend more than 200€ per
on average in euros
                                                                                               year on microtransactions.
per year on average on
microtransactions?                   17,1%                            15,7%
                                                                                          ▪    This target group is of great importance for the
                                                                                               games industry and is examined in greater depth in
                                               6,6%
                                                            4,0%
                                                                                               this study.

n = 502                   0-50€     51-100€   101-150€     151-200€   200+€

                                                                       Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   34
User Acceptance
Number of players who have made microtransactions

                                                                                          ▪    70.3% of respondents have already made
                                                                                               microtransactions.

                                  29,7%                                                       → Indicator for high user acceptance

Have you already                                                                          ▪    The acceptance of microtransactions increased by
                                                                      Yes
made microtransactions?                                                                        16% compared to Frankfurt Game Studies I (2020).
                                                                      No                  ▪    Microtransactions can establish themselves as a
                                                   70,3%                                       general monetization trend in the long term due to
                                                                                               the high acceptance in this industry.

n=714

                          56,6%

                                                                                          ▪    The majority of respondents spend an average of
                                                                                               0-50€ on microtransactions per year.
How much do you spend                                                                     ▪    15.7% of respondents spend more than 200€ per
on average in euros
                                                                                               year on microtransactions.
per year on average on
microtransactions?                   17,1%                            15,7%
                                                                                          ▪    This target group is of great importance for the
                                                                                               games industry and is examined in greater depth in
                                               6,6%                                            this study.
                                                            4,0%

n = 502                   0-50€     51-100€   101-150€     151-200€   200+€

                                                                       Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   35
User Acceptance
Differences in willingness to buy between Free-2-Play and Pay-2-Play Games

                                                                                                                  ▪    At 40.4%, the willingness to make
                                                                                                                       microtransactions in Free-2-Play games is 15.7%
                                                                                                                       higher than in Pay-2-Play games
Do you spend on average                         34,9%
                                                                          40,4%         Free-2-Play
more for microtransactions in                                                                                     ▪    The evaluation of the category "neither" is very
Free-2-Play or Pay-2-Play games?                                                        Pay-2-Play                     high at 34.9%. In this context, it can be assumed
games?                                                                                  Neither                        that players generally play several games (both
                                                                                                                       Free-2-Play and Pay-2-Play) and that some
                                                                                                                       therefore engage in microtransactions in both
                                                         24,7%                                                         areas.

n = 502
                                                                                                                  ▪    Nevertheless, P2P players represent the larger
          76,6%                                                                                                        share for amounts starting at €150.
                                                                                                                  ▪    Thus, the thesis out of Frankfurt Game Studies I
48,8%                                                                                                                  (2020) can be verified that players who spend
     41,1%
                                                                                                                       money on Pay-2-Play games spend higher
                  22,2%
                                                                                           26,6%                       amounts on microtransactions.
                       16,9%                                                          17,7%
                            12,0%                                       8,1%                                      ▪    Players who indicated "neither" can possibly be
                                        7,8% 7,3% 4,6%                                            5,7%
                                                                 3,4%          1,7%
                                                                                                                       categorized as casual gamers, since they probably
     0-50€            51-100€                 101-150€             151-200€               200+€                        do not have a strong focus on individual games.
                                                                                                                       Thus, the share in the lowest price category is
                                Free-2-Play        Pay-2-Play           Neither                                        correspondingly high at 76.6%.
                                n=203              n=124

                                                                                             Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   36
User Acceptance
Differences in willingness to buy between Free-2-Play and Pay-2-Play Games

                                                                                                                  ▪    At 40.4%, the willingness to spend more for
                                                                                                                       microtransactions in Free-2-Play games is 15.7%
                                                                                                                       higher than in Pay-2-Play games
Do you spend on average                         34,9%
                                                                          40,4%         Free-2-Play
more for microtransactions in                                                                                     ▪    The evaluation of the category "neither" is very
Free-2-Play or Pay-2-Play games?                                                        Pay-2-Play                     high at 34.9%. In this context, it can be assumed
games?                                                                                  Neither                        that players generally play several games (both
                                                                                                                       Free-2-Play and Pay-2-Play) and that some
                                                                                                                       therefore engage in microtransactions in both
                                                         24,7%                                                         areas.

n = 502
                                                                                                                  ▪    Nevertheless, P2P players represent the larger
          76,6%                                                                                                        share for amounts starting at €150.
                                                                                                                  ▪    Thus, the thesis out of Frankfurt Game Studies I
48,8%                                                                                                                  (2020) can be verified that players who spend
     41,1%
                                                                                                                       money on Pay-2-Play games spend higher
                                                                                           26,6%                       amounts on microtransactions.
                  22,2%
                       16,9%                                                          17,7%
                            12,0%                                                                                 ▪    Players who indicated "neither" can possibly be
                                        7,8% 7,3% 4,6%                  8,1%                      5,7%
                                                                 3,4%          1,7%
                                                                                                                       categorized as casual gamers, since they probably
     0-50€            51-100€                 101-150€             151-200€               200+€                        do not have a strong focus on individual games.
                                                                                                                       Thus, the share in the lowest price category is
                                Free-2-Play        Pay-2-Play           Neither                                        correspondingly high at 76.6%.
                                n=203              n=124

                                                                                             Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   37
User Acceptance
Differences in willingness to buy between Free-2-Play and Pay-2-Play Games

You would like to purchase a specific in-game item - would you rather buy 10 Lootboxes for             ▪    Across all age groups, a direct purchase of the
2 Euros each (20 € in total), each with a 10% chance of getting the desired item, or would                  desired in-game item is preferred over ‘risky’
you prefer a direct purchase for 20 €?                                                                      lootboxes.
                                                                                         100,0%        ▪    Willingness to buy lootboxes is highest among the
                                                     80,5%                                                  over 40-year-olds, although it tends toward zero
           71,1%             72,2%
                                                                          64,0%                             among the over 50-year-olds.
                                                                  36,0%                                ▪    A high willingness to purchase lootboxes can also
   28,9%             27,8%
                                             19,5%                                                          be seen among 15- to 19-year-olds.
                                                                                  0,0%

     15-19 y.o.       20-29 y.o.              30-39 y.o.           40-49 y.o.      50+ y.o.
       n=45            n=295                   n=133                 n=25            n=4
                              Lootbox           Direct Purchase
Would you rather play a Free-2-Play game with optional expandable paid content, or would
you prefer a paid game that already includes all the expansions?
                                                                                                       ▪    63.5% of respondents would prefer a Pay-2-Play
                                                                                                            game with all included expansions over a Free-2-
                                                               63,5%
                                                                                                            Play game with expandable, paid content.
                                                                                                       ▪    This can be explained by the fact that the
                                                                                                            majority of players want to have a level playing
                                     36,5%
                                                                                                            field and are rather negatively opposed to a
                                                                                                            "two-tier playership"

                               Free-2-Play                   Pay-2-Play

n = 502
                                                                                  Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   38
User Acceptance
Differences in willingness to buy between Free-2-Play and Pay-2-Play Games

You would like to purchase a specific in-game item - would you rather buy 10 Lootboxes for                         ▪    Across all age groups, a direct purchase of the
2 Euros each (20 € in total), each with a 10% chance of getting the desired item, or would                              desired in-game item is preferred over ‘risky’
you prefer a direct purchase for 20 €?                                                                                  lootboxes.
                                                                                                    100,0%         ▪    Willingness to buy lootboxes is highest among the
                                                         80,5%                                                          over 40-year-olds, although it tends toward zero
           71,1%                 72,2%
                                                                              64,0%                                     among the over 50-year-olds.
                                                                      36,0%                                        ▪    A high willingness to purchase lootboxes can also
   28,9%                27,8%
                                                 19,5%                                                                  be seen among 15- to 19-year-olds.
                                                                                             0,0%

     15-19 y.o.          20-29 y.o.               30-39 y.o.           40-49 y.o.             50+ y.o.
       n=45               n=295                    n=133                 n=25                   n=4
                                  Lootbox           Direct Purchase
Would you rather play a Free-2-Play game with optional expandable paid content, or would
you prefer a paid game that already includes all the expansions?
                                                                                                                   ▪    63.5% of respondents would prefer a Pay-2-Play
                                                                                                                        game with all included expansions over a Free-2-
                                                                   63,5%
                                                                                                                        Play game with expandable, paid content.
                                                                                                                   ▪    This can be explained by the fact that the
                                                                                                                        majority of players want to have a level playing
                                         36,5%
                                                                                                                        field and are rather negatively opposed to a
 with expandable content to be                                                        including expansions              "two-tier playership"
             paid
                                                                                                                            Level Playing Field describes a concept of fairness in
                                                                                                                            which all gamers play by the same rules and have the
                                   Free-2-Play                   Pay-2-Play                                                               same chances of success.

n = 502
                                                                                              Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law          39
Microtransactions
Study results regarding target groups, platforms,
games and genre

                                                    Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   40
Microtransactions
How much do you spend on microtransactions per year on average?
Gender
                 63,6%
         55,5%

                                               21,8%
                                       16,6%                                                                                                   16,9%

                                                                     7,0%                                  6,0%                                          7,3%
                                                                                3,6%                                  3,6%

             0-50€                        51-100€                         101-150€                            151-200€                              200+€

                                                                  Male                Female
                                                                  n=445               n=55

Insights
▪   Female respondents are more frequently represented in the 0-50 € and 51-100 € categories.
▪   In the category 101-150 € the male respondents spend more money - just under twice as much as the female players
▪   On average, men spend more money on microtransactions than women.

                                                                                     Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   41
Microtransactions
How much do you spend on microtransactions per year on average?
Frequency of Play
                          Daily                                    Several times per week                                 Once per week                                      Once per month                                                 Less
                         n = 239                                           n = 228                                           n = 20                                              n = 11                                                     n=4
                                                          64,0%                                                 90,0%                                              72,7%
45,6%                                                                                                                                                                                                                 100,0%

                                                 22,6%
            18,0%                                                                                                                                                           27,3%
                                                                   16,2%
                         8,4%                                                                          11,0%
                                     5,4%                                      5,7%                                      10,0%
                                                                                           3,1%
                                                                                                                                    0,0% 0,0% 0,0%                                     0,0% 0,0% 0,0%                            0,0% 0,0% 0,0% 0,0%

                                                                                                                                                151-200€
                          101-150€

                                      151-200€

                                                                                101-150€

                                                                                            151-200€

                                                                                                                                     101-150€

                                                                                                                                                                                        101-150€

                                                                                                                                                                                                   151-200€

                                                                                                                                                                                                                                             101-150€

                                                                                                                                                                                                                                                        151-200€
               51-100€

                                                                     51-100€

                                                                                                                          51-100€

                                                                                                                                                                             51-100€

                                                                                                                                                                                                                                  51-100€
                                                  200+€

                                                                                                        200+€

                                                                                                                                                           200+€

                                                                                                                                                                                                              200+€

                                                                                                                                                                                                                                                                   200+€
    0-50€

                                                           0-50€

                                                                                                                 0-50€

                                                                                                                                                                    0-50€

                                                                                                                                                                                                                         0-50€
Insights                                                                                                                                                                                                        Scaling adapted for visualization
▪           In general, it can be observed that the willingness to buy correlates strongly with the frequency of play.
▪           As the frequency of play decreases, the willingness to spend more than 50 € on microtransactions decreases.
▪           Players who play daily or several times a week find themselves in the highest price grouping for microtransactions at 22.6% and 11.0%, respectively.
▪           The highest proportion of gamers who spend over 200 € p.a. on microtransactions can be seen among respondents who play games every day.
            Gamers who have less time for gaming due to their age consequently also spend less on microtransactions.

                                                                                                                                                Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law                                              42
Microtransactions
How much do you spend on microtransactions per year on average?
Duration
                        4 hours
                         n = 33                                       n = 210                                             n = 223                                                      n = 116                                                   n = 76
84,8%
                                                         78,1%                                               66,8%                                                54,3%                                                  46,1%

                                                                                                                                                                                                                                    23,7%                                 23,7%

                                                                                                                                                                           13,8%                                15,5%
                                                                                                                      14,3%                                                             9,5%
                                                                                                                                                         9,4%                                       6,9%                                        5,3%
             9,1%                               6,1%              8,6%                              9,5%                          5,4% 4,0%                                                                                                                  1,3%
                         0,0% 0,0%                                           2,9% 1,0%

                                                                                                                                   101-150€
                          101-150€

                                     151-200€

                                                                              101-150€

                                                                                         151-200€

                                                                                                                                              151-200€

                                                                                                                                                                                         101-150€

                                                                                                                                                                                                     151-200€

                                                                                                                                                                                                                                                  101-150€

                                                                                                                                                                                                                                                               151-200€
              51-100€

                                                                   51-100€

                                                                                                                        51-100€

                                                                                                                                                                            51-100€

                                                                                                                                                                                                                                      51-100€
                                                 200+€

                                                                                                     200+€

                                                                                                                                                          200+€

                                                                                                                                                                                                                 200+€

                                                                                                                                                                                                                                                                            200+€
    0-50€

                                                          0-50€

                                                                                                              0-50€

                                                                                                                                                                   0-50€

                                                                                                                                                                                                                            0-50€
Insights                                                                                                                                                                                                           Scaling adapted for visualization
▪           As game duration increases, purchases of microtransactions in the lowest price segment 0-50 € decrease
▪           The longer a gaming session lasts, the greater the willingness to spend more than €50.
▪           From a game duration of more than four hours, almost every fourth player is willing to invest more than 200€ for microtransactions.
▪           In summary: The longer the game duration, the more money is spent on microtransactions; this confirms the findings of Frankfurt Game Studies I (2020).

                                                                                                                                              Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law                                                         43
Microtransactions
How much do you spend on microtransactions per year on average?
Age
                    15-19 y.o.                                               20-29 y.o.                                            30-39 y.o.                                        40-49 y.o.                                              50+ y.o.
                     n = 45                                                   n = 295                                               n = 133                                            n = 25                                                 n=4
53,3%                                                                                                                                                                 64,0%                                                 75,0%
                                                         53,9%                                                 61,7%

            22,2%
                                                                  18,0%                               17,6%                                                                                                                                                 25,0%
                                                                                                                        14,3%                                15,0%             16,0%
                        11,1%                                                                                                                                                                                     12,0%
                                                8,9%
                                                                               5,4% 5,1%                                             7,5%                                                 8,0%
                                    4,4%
                                                                                                                                                 1,5%                                                 0,0%                            0,0% 0,0%                         0,0%
                         101-150€

                                     151-200€

                                                                                101-150€

                                                                                           151-200€

                                                                                                                                      101-150€

                                                                                                                                                  151-200€

                                                                                                                                                                                           101-150€

                                                                                                                                                                                                       151-200€

                                                                                                                                                                                                                                                 101-150€

                                                                                                                                                                                                                                                             151-200€
              51-100€

                                                                   51-100€

                                                                                                                         51-100€

                                                                                                                                                                                51-100€

                                                                                                                                                                                                                                       51-100€
                                                 200+€

                                                                                                       200+€

                                                                                                                                                              200+€

                                                                                                                                                                                                                   200+€

                                                                                                                                                                                                                                                                         200+€
    0-50€

                                                          0-50€

                                                                                                                0-50€

                                                                                                                                                                       0-50€

                                                                                                                                                                                                                              0-50€
Insights                                                                                                                                                                                                             Scaling adapted for visualization

▪           With increasing age, the proportion of those who spend an average of € 0-50 on microtransactions per year increases continuously.
▪           Purchasing power generally increases with age. However, it can be seen that the willingness to spend more than 200€ a year on microtransactions is
            highest among 20- to 29-year-olds; thereafter, it declines permanently.
▪           The 15- to 19-year-olds and 20- to 29-year-olds represent the groupings that record the most daily players in percentage terms, at 55.5% and 51.2%
            respectively, and although the frequency of play decreases continuously with increasing age, twice as many players among the 20- to 29-year-olds make
            more than €200 in microtransactions compared to the 15- to 19-year-olds. This can be explained by the purchasing power of these two groups.

                                                                                                                                                  Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law                                                  44
Microtransactions
How much do you spend on microtransactions per year on average?
Platform
                         64,3%
                 56,3%
                                 54,1%

                                                  18,0% 16,5%                                                                                     17,8%
                                          15,3%                                                                                   15,8%
                                                                         7,7%          7,3%                                               9,0%
                                                                                5,1%                  4,9% 3,5% 4,2%

                         0-50€                 51-100€                      101-150€                      151-200€                        200+€

                                                                Mobile      PC          Console
                                                                n=183       n=255       n=381

                                                                                                                                      Scaling adapted for visualization
Insights
▪   In the low-price segments (0-50€ & 51-100€), computer gamers spend the most money on microtransactions compared to the other two platforms.
▪   In the highest price segment, console gamers spend over 200€ per year on microtransactions, at 17.8%.
▪   One possible reason why computer gamers in the lower price segments tend to spend more money might be that they play more games on average and
    thus have less focus on the individual game.

                                                                                         Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law    45
Microtransactions
 How much do you spend on microtransactions per year on average?
 Type of purchases - What type of microtransactions have you already made?
                 Decorative Items                                                                Functional Items                                                                  Time Reductions                                           Insights
                     n = 272                                                                         n = 180                                                                           n = 117
                                                                                    42,8%                                                                      41,0%                                                                         ▪   The respondents most frequently purchased
  49,3%
                                                                                                                                                                                                                                                 additional content such as (DLC) at 61.6%.
                                                                                                                                                                                                                                                 Nevertheless, the least is spent on this category on
                                                                                                                                           22,8%                                   23,9%
                                                                                                19,4%                                                                                                                              20,5%         average.
                19,5%                                          19,1%                                                                                                                                                                         ▪   Although 74% of players stated that they prefer a
                                                                                                               9,4%                                                                            8,5%
                               8,1%                                                                                         5,6%                                                                                      6,0%                       direct purchase over the 'risky' Lootbox, the Lootbox
                                                  4,0%
                                                                                                                                                                                                                                                 is the category in which the most purchases over
                                                                                                                                                                                                                                                 €200 have been made. This shows that Lootboxes
                                       101-150€

                                                    151-200€

                                                                                                                 101-150€

                                                                                                                                151-200€

                                                                                                                                                                                                           101-150€

                                                                                                                                                                                                                        151-200€
                  51-100€

                                                                                                     51-100€

                                                                                                                                                                                     51-100€
    0-50€

                                                                                     0-50€

                                                                                                                                                                0-50€
                                                                 200+€

                                                                                                                                             200+€

                                                                                                                                                                                                                                     200+€
                                                                                                                                                                                                                                                 are not preferred by players in theory, but in practice
                                                                                                                                                                                                                                                 a lot of money is spent on them.
                                                                                                                                                                                                                                             ▪   Decorative items are purchased significantly more
                              Additional Content                                                                                                               Lootboxes                                                                         often compared to functional items and time
                                    n = 309                                                                                                                     n = 219                                                                          reductions. No significant differences exist between
    56,0%
                                                                                                                            39,7%                                                                                                                the categories in terms of price weighting.

                                                                                                                                                                                                                       26,5%
                                                                                                                                             19,6%
                            19,4%
                                                                                       14,6%
                                                                                                                                                                 8,2%
                                                  6,5%                                                                                                                                         5,9%
                                                                    3,6%
                                                    101-150€

                                                                         151-200€

                                                                                                                                                                        101-150€

                                                                                                                                                                                                151-200€
                             51-100€

                                                                                                                                                     51-100€
                                                                                                                             0-50€
        0-50€

                                                                                                                                                                                                                          200+€
                                                                                             200+€

Scaling adapted for visualization
                                                                                                                                                                                                                      Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law        46
Mikrotransactions
 How much do you spend on microtransactions per year on average?
 Genre - Which game genre do you play most often?
                        Shooter                                                  Sport                                                  Skill-Based                        66,7%
                                                                                                                                                                                            Jump&Run                                             Battle Royale
                                                                                                                   64,7%
                        n = 285                            43,7%                n = 222                                                   n = 68                                              n = 87                                                n = 110
  55,1%                                                                                                                                                                                                                            48,2%

                                                                                                          25,2%
                                                                                                                                                                                                                                            21,8%                                22,7%
            18,6%                                                   15,8%
                                                  17,2%                                                                     16,2%                                                   16,1%
                                                                                  9,9%                                                                            13,2%
                         6,0%                                                                 5,4%                                                                                               8,0%                     8,0%                          5,5%
                                      3,2%                                                                                               2,9% 2,9%                                                           1,1%                                                    1,8%
                           101-150€

                                       151-200€

                                                                                   101-150€

                                                                                               151-200€

                                                                                                                                           101-150€

                                                                                                                                                       151-200€

                                                                                                                                                                                                  101-150€

                                                                                                                                                                                                              151-200€

                                                                                                                                                                                                                                                          101-150€

                                                                                                                                                                                                                                                                      151-200€
              51-100€

                                                                      51-100€

                                                                                                                              51-100€

                                                                                                                                                                                      51-100€

                                                                                                                                                                                                                                              51-100€
    0-50€

                                                            0-50€

                                                                                                                    0-50€

                                                                                                                                                                            0-50€

                                                                                                                                                                                                                                    0-50€
                                                   200+€

                                                                                                           200+€

                                                                                                                                                                   200+€

                                                                                                                                                                                                                           200+€

                                                                                                                                                                                                                                                                                  200+€
                        Role-Playingl                                           Simulation                                              Strategy                                                Action                                                  Racing
                           n = 172                         57,1%                  n = 56                                                n = 136                                                 n = 240                                                  n = 72
                                                                                                                   61,8%                                                   62,5%                                                   51,4%
  59,3%

                                                                    19,6%                                                                                                                                                                   20,8%
            20,3%                                                                                                                                                                                                                                                                18,1%
                                                                                 12,5%                                      16,9%                                                   16,7%
                                                  10,5%                                                   8,9%                                                    11,0%                                                   12,1%                         8,3%
                         4,1% 5,8%                                                                                                       6,6%                                                    5,4% 3,3%
                                                                                              1,8%                                                    3,7%                                                                                                           1,4%
                           101-150€

                                       151-200€

                                                                                   101-150€

                                                                                               151-200€

                                                                                                                                          101-150€

                                                                                                                                                       151-200€

                                                                                                                                                                                                  101-150€

                                                                                                                                                                                                               151-200€

                                                                                                                                                                                                                                                          101-150€

                                                                                                                                                                                                                                                                      151-200€
             51-100€

                                                                      51-100€

                                                                                                                              51-100€

                                                                                                                                                                                      51-100€

                                                                                                                                                                                                                                              51-100€
    0-50€

                                                            0-50€

                                                                                                                    0-50€

                                                                                                                                                                            0-50€

                                                                                                                                                                                                                                    0-50€
                                                   200+€

                                                                                                           200+€

                                                                                                                                                                   200+€

                                                                                                                                                                                                                           200+€

                                                                                                                                                                                                                                                                                  200+€
Scaling adapted for visualization
                                                                                                                                                      Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law                                                       47
Mikrotransactions
 How much do you spend on microtransactions per year on average?
 Genre
                            Shooter                                                     Sport                                    Insights
    55,1%
                            n = 285                               43,7%                n = 222
                                                                                                                                 ▪    The game genres shooter, racing, battle royale and
                                                                                                                                      sports, with 17.2%, 18.1%, 22.7% and 25.2%
                                                                                                                   25,2%              respectively, record the highest proportion of those
                                                                                                                                      who spend over 200€ per year on microtransactions.
              18,6%                                     17,2%
                                                                           15,8%                                                      At the same time, the 0-50€ category is the least
                                                                                        9,9%                                          represented in these genres.
                             6,0%                                                                    5,4%
                                          3,2%
                                                                                                                                 ▪    In the sports game genre, the share of gamers
                                                                                                                                      spending over €200 is the highest of all game genres
                              101-150€

                                           151-200€

                                                                                          101-150€

                                                                                                       151-200€
                51-100€

                                                                             51-100€
      0-50€

                                                                   0-50€
                                                         200+€

                                                                                                                     200+€
                                                                                                                                      at 25.2%, while the share in the 0-50€ category is the
                                                                                                                                      lowest at 43.7%.
                                                                                                                                 ▪    This is most likely due to the game mode and platform
                          Battle Royale                                                Racing                                         FIFA Ultimate Team.
                             n = 110                                                    n = 72
                                                                  51,4%
   48,2%

              21,8%                                     22,7%              20,8%
                                                                                                                  18,1%

                                                                                        8,3%
                             5,5%
                                          1,8%                                                       1,4%
                               101-150€

                                             151-200€

                                                                                          101-150€

                                                                                                      151-200€
                51-100€

                                                                             51-100€
     0-50€

                                                                   0-50€
                                                          200+€

                                                                                                                     200+€
Scaling adapted for visualization
                                                                                                                  Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   48
AI-Powered Monetization
Study results regarding user acceptance with regard
to AI and use cases

                                                 Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   49
AI-Powered Monetization
Focus on Artificial Intelligence

                                                                                                                          79,6%
                                                                                              75,4%                                                                      75,9%
                                               72,7%
                                                                                                                                                  70,0%
                                                                       66,3%

You are stuck in a game play
situation - Do you want paid In-
Game items that contribute to
                                                                               21,3%
further successful game                                16,9%                                          15,8%                                               16,7%                  14,8%
                                                               12,4%                                                              12,2%   13,3%
development to be recommended          10,4%                                           8,8%                        8,2%                                           9,3%
to you?
                                           General                     FIFA               Fortnite                   League of                CS:GO                Call of Duty
                                           n=502                       n=89                n=57                       Legends                  n=30                   n=54
                                                                                                                       n=49

                                                                                          Yes                 No      Maybe

Insights
▪   The majority of players (72.7%) do not want to be offered in-game items when they are stuck in a game play situation.
▪   Despite the negative attitude of gamers towards the concept of selling in-game items through microtransactions, console manufacturers (Sony 2020) and
    publishers (Activision 2019) have filed related patents. AI comes into play when players are 'stuck' in certain situations and therefore helpful in-game
    items are offered for sale
▪   Since user acceptance of such AI-supported monetization models is essential, it can be assumed that they would not have a high chance of success
    without professional marketing support.

                                                                                          Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law                  50
AI-Powered Monetization
Focus on Artificial Intelligence

                                                                                                                          83,7%                  83,3%
                                               77,9%                                         78,9%
                                                                                                                                                                        75,9%
                                                                      70,8%

Would you like to receive
suggestions for paid In-Game
Items that give you an
advantage in certain game play                                16,9%
                                                                                                                                                                14,8%
                                       12,7%                                  12,4%                  12,3%        12,2%
                                                       9,4%                                                                              10,0%                                  9,3%
situations?                                                                           8,8%
                                                                                                                                                         6,7%
                                                                                                                                  4,1%

                                          General                     FIFA               Fortnite                   League of                CS:GO                Call of Duty
                                          n=502                       n=89                n=57                       Legends                  n=30                   n=54
                                                                                                                      n=49

                                                                                         Yes                 No      Maybe

Insights
▪   The majority of players (77.9%) do not want to be offered in-game items that give them a personal advantage.
▪   Getting a personal advantage over other players through purchases is rejected by players even more than getting in-game item purchase suggestions
    when they are stuck in a game situation.
▪   This reflects how much gamers dislike a game with a Pay-2-Win mechanism, and explains the ‘storm of protest’ against this form of monetization on
    social media (e.g. Star Wars Battlefront 2).

                                                                                         Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law                 51
AI-Powered Monetization
Focus on Artificial Intelligence

How do you feel about getting into a game lobby (matchmaking) with other players who have                                                                      Insights
purchased paid in-game items of a decorative nature (decorative items)?
                  70,7%                     66,3%                     66,7%                      69,4%                     73,3%                     66,7%
                                                                                                                                                               ▪   In this form of monetization strategy, a
                                                                                                                                                                   large discrepancy exists between
                                                                                                                                                                   decorative and functional items.
                                                                                  26,5%                                                                        ▪   While 11.6% reject such a mechanism
                            20,2%                     21,1%                                                 23,3%                    20,4%
  17,7%
                                    13,5%                                                                                                    13,0%
                                                                                                                                                                   for decorative items, this percentage
          11,6%                                               12,3%
                                                                                          4,1%                      3,3%                                           rises to 71.5% when it comes to
                                                                                                                                                                   functional items.
    Allgemein                       FIFA                     Fortnite               League of                   CS:GO                   Call of Duty
      n=502                         n=89                      n=57                   Legends                     n=30                      n=54                ▪   This shows that players do not want
                                                                                      n=49                                                                         players they are playing with to have an
                                                      Like              Dislike          Don't care                                                                unfair advantage, and again illustrates
                                                                                                                                                                   the sensitivity to the Pay-2-Win issue,
How do you feel about getting into a game lobby (matchmaking) with other players who have                                                                          and that players want to have a level
purchased paid in-game items of a functional nature (functional items)?                                                                                            playing field that provides equal
                                                                                                                     86,7%
                                                                                            79,6%                                                                  opportunities for all.
            71,5%                                               71,9%
                                      66,0%                                                                                                    63,0%

                                                                                                                                                       27,8%
                    20,5%
                                              16,0%     12,3%           15,8%                       14,3%
    8,0%                      7,9%                                                  6,1%                                     10,0%      9,3%
                                                                                                              3,3%

          Allgemein                   FIFA                     Fortnite                   League of                 CS:GO                 Call of Duty
            n=502                     n=89                      n=57                       Legends                   n=30                    n=54
                                                                                            n=49
                                                       Like             Dislike             Don't care

                                                                                                                           Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law      52
AI-Powered Monetization
Focus on Artificial Intelligence
How do you feel about being offered appropriate paid add-on content based on your previous play style and preferences?

General                                                                    72,7%                                                         Insights
n = 502
                                                                                                                                         ▪   It can be shown that an AI that
                                                                                      44,3%                                                  analyzes gameplay and
                                                                                                                                             preferences leads to a significant
                                                      27,9%                                                           27,9%
                                                                                                                                             increase in user acceptance of
                                                                                                           16,9%
                                           10,4%
                                                                                                                                             17.5% and 25.0%, respectively, for
                                                                                                                                             these monetization concepts.

                        24,3%                    Like                           Dislike                       Don't care                 ▪   Consequently, this approach has
     39,4%
                                                                                                                                             the potential to significantly
                                         You will be offered in-game items that contribute to successful game play n=502
                                         You will be offered suitable in-game items that will contribute to successful game play n=122       increase revenue through
                                                                          77,9%                                                              microtransactions.

                       36,3%
                                                                                      49,2%
                                                      37,7%
   Like      Dislike     Don't care

                                           12,7%                                                                      13,1%
                                                                                                           9,4%

                                                  Like                          Dislike                       Don't care
                                          You will be offered in-game items that will give you an advantage n=502
                                          You will be offered in-game items suitable for you, which will give you an advantage n=122

                                                                                                     Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   53
AI-Powered Monetization
Focus on Artificial Intelligence
Would you make more microtransactions if you were sure they fit your play style and preferences?

                                                         56,5%

                     9,4%                                         43,6%

                                 36,1%
                                                                                         23,2%
                                                                                17,1%                                                                     18,2%
                                                                                                                                                  15,7%
                                                                                                               8,8%
                                                                                                       6,6%                          6,1%
                                                                                                                             4,0%
             54,6%

                                                              0-50€                51-100€               101-150€              151-200€               200+€

                                                    Spendings on microtransactions in general
              Yes      No   Don't care              n=502
                                                    Spendings on microtransactions, if you would be sure that the in-game items suits your gameplay and your preferences n=181
n = 502

Insights
▪   Gamer who like to be offered in-game items that fit their play style and preferences spend more money on microtransactions on average.
▪   Specifically, it would decrease the proportion of gamers spending €0-50 by 12.9% and increase the proportion of gamers spending €51-100 by 6.1%.
▪   The use of an AI that analyzes gameplay and preferences could increase microtransaction spending.

                                                                                        Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law            54
AI-Powered Monetization
Focus on Artificial Intelligence

                                                                                                          ▪   46.4% are against people with less
                                                                                                              purchasing power or willingness to buy
                                                                                                              having to pay less for paid in-game
                                     25,1%                   28,5%
How would you feel if people with                                                                             items.
less purchasing power or                                                                                  ▪   28.5% support such a pricing policy
willingness to buy had to pay less                                          Like   Dislike   Don't care       approach.
for in-game items?                                                                                        ▪   There is a parallel to the Pay-2-Win
                                                                                                              approach and players decide based on
                                                                                                              the idea of fairness.
                                             46,4%

                                                                                                          ▪   Despite the financial benefits of using
                                                                                                              an AI to create a player profile,
                                                         22,9%                                                reluctance among gamers must be
                                     27,1%                                                                    expected, as 50% of gamers oppose
How do you feel about a player                                                                                the storage and analysis of the player
profile being created about you
                                                                            Like   Dislike   Don't care       profile. Thus, a company must weigh
to provide you with more
suitable offers?                                                                                              whether the introduction of such a
                                                                                                              system is worthwhile.

                                                     50,0%

n = 502
                                                                     Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law      55
Analysis Excursus
Western markets compared to China

                       Is the use of AI in the Chinese games industry more advanced than in the West
                                and what influence does this have on the German games market?
                                                                                     How do you feel about a player profile being created about you to
                                                                                     provide you with more suitable offers?

                                                                                                                                       22,9%
                                                                                                                     27,1%
        AI acceptance is considered a critical factor for
        monetization models to work.

                                                                                                                                   50,0%

                                                                                                                  Like       Dislike       Don't carel

   >>> "Therefore, AI is not perceived as disruptive in China as it is in the
                                                                                        Based on this question of the Frankfurt Game Studies II it can be stated that 50%
   West, but as a technology that will strengthen traditional industries by
                                                                                        of the (German) gamers reject the use of AI.
   making them more efficient and profitable."
Analysis Excursus
Western markets compared to China

                           Is the use of AI in the Chinese games industry more advanced than in the West
                                and what influence does this have on the German games market?

Which of the following games do you think best implements
monetization of in-game items?
                                                                                                                                                           5%

                                                                                                             40%

                                                                                             100%            60%           100%           100%            95%

 League of          Call of
                                    Fortnite         CS:GO             FIFA
  Legends            Duty

When analyzing the data of Frankfurt Game Studies II, it is striking that Tencent
already holds stakes in 3 out of 5 publishers of the top games - or has taken over           FIFA          Fortnite      League of       CS:GO        Call of Duty
these companies. Thus, the influence of Chinese games companies on the Western                                            Legends
games market becomes evident.                                                                                           USA    China

It can be assumed that Chinese companies are very likely to already dominantly use AI-supported monetization models (in China). Based on submitted patents (from e.g.
Sony, Activision Blizzard), it can be anticipated that Western companies are also exploring the possibilities for using AI in the monetization of microtransactions.

                                                                                        Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   57
Executive Summary
Consolidated research findings

                                  - Acceptance of microtransactions / in-game items increased to 70.3% among core gamers
         Microtransactions        - Direct purchase of in-game items (71.1%) preferred over lootbox purchases (28.9%) among 15–19-year-
                                    olds

                                  - Correlation of game duration / expenditure: The longer the game session, the greater the willingness to
                                    spend more than 50 €.
       Editions, Duration and     - Correlation between game frequency and spending: From a game duration of more than four hours,
              Genres                every fourth gamer is willing to invest more than 200€ for microtransactions.
                                  - Free-2-Play-Games (56,6% 0-50€); in Pay-2-Play-Games (15,7% 200+€)
                                  - Sports-Game-Genre (25,2%> €200)

                                  - Discrepancy between acceptance of AI (rejection) and user behavior (use if beneficial)
        Artificial Intelligence   - Strong sense of fairness among gamers (Level Playing Field)
                                  - China: Advanced in AI, higher user acceptance than in Western countries

                                                                                                                                Spendings per year (p.a.)

                                                                     Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law          58
Games Industry Management
       The Webpage
Games Industry Management
       The Channel
Prof. Dr. Lutz Anderie
Business Information Systems              Frankfurt University of Applied Sciences
Games / E-Commerce                        Niebelungenplatz 1, D-60318 Frankfurt am Main
Frankfurt Game Studies II
                                          Prof. Dr. Lutz Anderie
AI-Powered Monetization of Games          Fachbereich 3: Wirtschaft und Recht
                                          Gebäude BCN, Raum 820
                                          Tel.: +49 69 1533-2939
                                          l.anderie@fb3.fra-uas.de

                                          Press & PR Contact

                                          M. A. Claudia Staat
Prof. Dr. Lutz Anderie                    Pressereferentin
                                          Tel.: +49 69 1533-3331
                                          staat@kom.fra-uas.de

                                   Prof. Dr. Lutz Anderie Fachbereich 3: Wirtschaft und Recht | Business and Law   62
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