GameAnalytics alternative with raw event access

Looking for a GameAnalytics alternative? Keentics is an event analytics platform for games and apps where your raw events stay reachable: it stores them in ClickHouse, lets you run read-only SQL against them, and lets you export the full dataset whenever you want — alongside funnels, N-day retention, cumulative LTV, paths and the game monetization metrics studios rely on.

Your raw events, never out of reach

Some game-analytics tools are built around curated dashboards and aggregated metrics, and the underlying event-level data can be hard to reach directly. That’s fine until you hit a question the dashboards don’t answer — a custom funnel, a revenue reconciliation, an edge case in a specific cohort. Keentics keeps the raw layer open:

Read-only SQL directly against your raw events.
Full export of the complete dataset, on demand.
No proprietary lock-in — your event history stays in a format you can take with you.

The principle is simple: the platform should make analysis easy without standing between you and your own data.

SQL when the builders run out

Visual builders cover most day-to-day analysis, but every team eventually asks something the UI can’t express. Instead of filing a request or working around it, you write the query:

Join events, segments and properties the way the question demands.
Validate a metric against the rows that produced it.
Prototype an analysis before deciding whether it deserves a dashboard.

The visual toolkit is all here too — funnel analysis, retention, cohorts, Sankey paths and dashboards — so SQL is the escape hatch, not the only path.

Keentics’ approach vs the typical setup

Raw data: read-only SQL + full export anytime — vs curated dashboards where raw access can be limited.
Custom questions: write SQL against your events — vs waiting on what the UI exposes.
Data ownership: exportable, non-proprietary history — vs data effectively held inside the tool.
Pricing: fixed tiers, not per project or seat, monthly billing available — vs models that vary by usage.

Game metrics, plus the same depth for apps

Keentics models game revenue natively — ARPU and ARPPU, whale and spender segmentation, ad revenue and ROAS for paid acquisition, and cumulative LTV by cohort and source. Because the same platform handles general product analytics, a studio shipping both games and apps doesn’t need two tools. See game analytics for the monetization models, or mobile & app analytics for the app side.

When GameAnalytics might still fit

If you want a focused, dashboard-first tool and you rarely need to reach the raw event layer or run custom SQL, a more curated product may be all you need. Keentics is aimed at teams who want their raw events queryable and exportable, native monetization metrics, and predictable pricing as they grow across titles and platforms.