01 What is video game analytics?
Video game analytics is the practice of reading player, sales, and market data to decide what to build, price, and promote. Sena, a Decision AI with access to real-world data, brings decision intelligence to game teams by adding consented player input and geo-verified campaign photos to the data a team holds, so each figure traces to the answer or photo behind it.
02 What is game analytics used for?
Game analytics tracks what players do inside a game, from sessions to purchases, to tune design and pricing. Sena adds the market side to video game analytics: why players chose the game and what would make them switch, by segment and market.
03 What does game app analytics measure?
Game app analytics measures installs, sessions, and in-app purchases in mobile games. Sena adds the reasons behind mobile gaming trends: what players say drove an install and what they would pay for next, from a battle pass to a starter pack.
04 What does a game analyst do?
A game analyst reads player and market data to answer design, pricing, and marketing questions. Gaming data analytics covers what players did in a game, and Sena adds the reasons players state for playing, paying, or quitting, so design and pricing changes start from what players said.
05 How do video game industry trends differ by market?
Video game industry trends differ by genre, platform, and market. Mobile gaming trends can lead in one market and trail in the next. Sena captures the gaming trends players in a named market follow, and the genres they would play and pay for.
06 How do teams read gamer demographics?
Gamer demographics show who plays by age, gender, and platform. Player segmentation goes further, grouping players by what they play, what they spend, and why. Sena adds stated motives and the offers each segment would pay for, from cosmetic items to season passes.
07 Which systems does Sena connect to for game teams?
Sena connects to the systems game teams already run across 250+ integrations, including Salesforce, HubSpot, and Microsoft Dynamics, and reads uploaded Excel, CSV, and PDF files. Player answers and campaign photos join that data, so one answer covers the team's own figures and the reasons players give.