Funnel Analysis for Games & Apps | Keentics
Funnel analysis tells you how many users make it through a multi-step flow — onboarding, checkout, a level sequence, a sign-up — and where the rest leak out. It is the fastest way for product, growth and live-ops teams to turn a vague “conversion feels low” into a specific broken step you can fix. Keentics builds funnels directly on your raw event stream, so the numbers match reality with no sampling.
Build a funnel in a few clicks
Pick the ordered events that make up the journey and Keentics computes conversion between each step and end-to-end. A typical onboarding funnel might be app_open → tutorial_start → tutorial_complete → first_purchase. You set a conversion window (the time a user has to reach the next step) so a player who returns three days later still counts the way your business defines it. Each bar shows both the absolute count and the step-to-step rate, so the biggest drop is impossible to miss.
Find the step that’s actually broken
The point of a funnel is not the overall percentage — it is the worst transition. When 70% of users finish the tutorial but only 12% reach the first purchase, you know where to spend your week. From any step you can break the population into a cohort and watch how those same users behave afterward, or jump to user path analysis to see what the drop-off crowd did instead of converting.
Segment to find the real story
Aggregate conversion hides as much as it reveals. Keentics lets you split any funnel by dimension — platform, app version, acquisition channel, country, A/B group — and compare the curves side by side. That is how you discover that the funnel is fine on iOS but collapses on a specific Android build, or that one paid channel sends traffic that never converts. Paired with retention analysis, funnels tell you not just who converted but whether they stuck around.
Why teams pick Keentics for funnels
- No sampling, no per-project fees. Funnels run over full event data, and pricing is a fixed tier rather than a charge per game or app.
- Conversion windows that match your product, from minutes for a checkout to weeks for a buy-to-pay loop.
- Drill straight to raw events. Restricted read-only SQL lets analysts verify any funnel number against the underlying events in ClickHouse.
- Export anytime. Every cohort behind a funnel is yours to pull out in full.
Funnels are the first analysis most teams run and the one they return to before every release. If you are evaluating tools, see how Keentics compares as a ThinkingData alternative, or read the conversion funnel glossary entry for the underlying concepts.
Retention Analysis: N-Day Matrix & Curves | Keentics
Measure N-day retention with cohort matrices and curves, compare retention across segments, and see whether new users actually come back. Retention analysis for games and apps.
LTV Analysis: Cumulative LTV & Payback | Keentics
Track cumulative LTV by cohort, payment distribution, ARPU and ARPPU, and see when user acquisition pays back. LTV analysis built for games and growth teams.
User Path Analysis & Behavior Flow | Keentics
Visualize real behavior paths with Sankey flow diagrams, find the routes that convert and the ones that lose users, and see what people actually do — not what you assume.
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