How can you identify and analyze key performance indicators (KPIs) in game analytics?

Uma ótima maneira de enriquecer a análise desses KPIs é correlacioná-los com o desempenho narrativo do jogo. Por exemplo, observar se picos de DAU coincidem com momentos chave da história ou se a taxa de retenção cai após a introdução de um novo arco narrativo. Isso pode indicar a importância de integrar storytelling e game design para alcançar os objetivos do jogo.

Implement robust data collection methods to track player interactions within the game accurately. Utilize game analytics tools to record various actions, such as game launches and in-game purchases. Ensure data reliability and accessibility for effective KPI analysis, as accurate data collection forms the basis of meaningful insights into player behavior.

É fundamental garantir que a coleta de dados seja feita de forma ética e transparente, informando os jogadores sobre quais dados são coletados e para quais fins. A construção de uma relação de confiança com seus jogadores, através de um storytelling transparente, pode aumentar o engajamento e a retenção, além de fornecer dados mais ricos para análise.

Examine retention KPIs, including day 1, day 7, and day 30 retention rates, to understand player engagement over time. Compare these rates against industry benchmarks or historical data to identify trends and patterns. Analyze factors influencing retention to inform game updates or adjustments aimed at enhancing player engagement and prolonging their gaming experience.

Uma análise interessante seria cruzar os dados de retenção com o mapeamento da jornada do jogador. Identificar em quais momentos da narrativa ocorrem os maiores picos de abandono pode revelar insights poderosos. Por exemplo, um tutorial muito longo ou uma mudança brusca na dificuldade podem ser os vilões da retenção em seu jogo.

Ao invés de pensar apenas em monetização direta, que tal analisar como a narrativa do seu jogo pode incentivar compras? Jogadores engajados pela história podem se sentir mais propensos a investir em itens cosméticos que os conectem aos personagens ou que desbloqueiem conteúdos narrativos adicionais. Explore o poder do storytelling na monetização!

Evaluate monetization KPIs, such as average revenue per paying user (ARPPU) and lifetime value (LTV), to assess revenue generation strategies. Analyze player purchase behavior to gauge the effectiveness of monetization tactics and optimize them accordingly. By understanding player spending habits, you can refine monetization approaches to maximize financial success and player satisfaction.

As designers, our area of analytical ownership is generally player engagement... and we LOVE it. Playtesting, iteration and the user feedback cycle is how we make excellent games. And data absolutely falls into this category. To choose what data to track, think like a scientist. What specific questions do we need answered to make this game a better experience for our players? For example, you might track how much time players are spending in each room of your game. You might track how many games are played with different weapons. Or perhaps what characters are getting picked etc. One you have some questions to answer, the task is easy. Iterate, watch the data, and get closer and closer to an incredible game.

Monitor technical performance KPIs, including load times, crash rates, and bug reports, to ensure a smooth gaming experience. Addressing technical issues promptly is crucial for maintaining player satisfaction and retention. Analyze technical data to prioritize fixes and updates, improving overall game performance and minimizing disruptions to player enjoyment.