Campaign Performance Analyzer helps game studios and publishers track ROAS, LTV and retention by channel, creative and cohort. Make smarter budget shifts for launches, updates and live-ops without waiting days for clarity.
Why it matters
Benefits
Compare campaigns by D1–D30 retention, payer conversion, ARPDAU and predicted LTV – not just CPI. Quickly identify which sources bring high-value cohorts and which inflate installs with low downstream revenue.
See performance by creative, format (playable, video, rewarded) and placement. Spot fatigue signals like rising CPI, falling CVR and declining payer rate, then prioritize new iterations that match your best-performing gameplay hooks.
Measure how a season launch, balance patch or limited-time event changes monetization and engagement by cohort and channel. Validate whether a campaign lift is real or simply driven by in-game content timing.
Optimize budgets by platform (iOS vs Android), country tier and ad network based on payback windows and margin. Reduce wasted spend in underperforming geos while scaling the ones that hit your ROAS targets.
Use cases
Challenge
Your soft-launch CPI looks acceptable, but D7 retention varies wildly by country and ad network. Stakeholders disagree on whether metrics are strong enough to expand spend.
Solution
Campaign Performance Analyzer breaks down cohorts by geo, platform and network, tying retention and payer conversion to predicted LTV and payback. You can confidently scale only the segments that meet benchmarks and pause the rest.
Challenge
After a major content update, installs rise and revenue spikes, but you can’t tell if the lift came from the patch, new creatives, or a single ad network.
Solution
The analyzer overlays campaign performance with time-based cohort comparisons, showing shifts in tutorial completion, early churn, payer rate and ARPPU. You can attribute gains to the right lever and replicate it in the next beat.
Challenge
Win-back campaigns drive cheap re-installs, but many users bounce immediately and don’t re-enter the economy, wasting budget and skewing performance reporting.
Solution
Campaign Performance Analyzer segments re-engaged users by recency, prior spend and progression. It flags audiences with low post-return session depth and revenue, so you can tighten targeting and focus on high-propensity lapsed players.
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FAQ
It focuses on downstream quality metrics such as D1–D30 retention, payer conversion rate, ARPDAU, ARPPU, session depth, tutorial completion, ROAS by day and cohort-based LTV. This helps you judge campaigns by profitability and engagement – not volume.
It supports aggregated and modeled performance views so you can compare channels even when user-level attribution is limited. You can rely on cohort trends, geo splits and creative comparisons to make budget decisions while accounting for measurement constraints on iOS.
Yes. It reports performance by creative and placement, connecting ad-level signals (CTR, CVR, CPI) to in-game outcomes like retention and payer rate. This makes it easier to find creative concepts that attract players who stick, spend and progress.
Yes. Hyper-casual teams can optimize for fast payback and ad monetization signals, while mid-core teams can prioritize longer LTV windows, payer conversion and progression milestones. The analyzer supports different payback targets and KPI weighting by genre.
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