Turn UA data into profitable players – faster

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

Why Gaming businesses choose Campaign Performance Analyzer.

In gaming, campaign success is rarely about installs alone. A spike in CPI can be fine if D7 retention is strong, whales are converting and LTV clears payback targets – but disastrous if the cohort churns after the tutorial. Campaign Performance Analyzer connects acquisition performance to in-game outcomes so you can see what actually drives profitable players. Gaming marketing teams juggle multiple ad networks, creative iterations, geo tests and platform differences (iOS ATT vs Android). Add live-ops beats like new seasons, events and content drops, and performance can shift hourly. Campaign Performance Analyzer centralizes campaign metrics with cohort and funnel views, letting you diagnose what changed and where to act. Whether you’re scaling a top-grossing title, soft-launching a new game, or running re-engagement for lapsed players, the analyzer highlights which campaigns deliver quality users, which creatives fatigue, and which geos hit payback – so you can spend with confidence and protect profitability.
30%
ROAS by cohort (D1–D30)
Track how quickly each campaign reaches payback and which cohorts sustain revenue over time – critical for scaling UA without margin risk.

Benefits

Built for Gaming.

Cohort-level ROAS and LTV you can trust

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.

Creative fatigue and winner detection for UA

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.

Live-ops impact analysis for updates and events

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.

Smarter spend allocation across networks and geos

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

Gaming use cases.

Soft launch – decide if you’re ready to scale

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.

Post-update UA – isolate what actually improved

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.

Re-engagement – stop paying for players who won’t return

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.

FAQ

Frequently asked questions.

What gaming KPIs does Campaign Performance Analyzer track beyond installs?

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.

How does it help with iOS ATT and attribution gaps?

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.

Can it identify which creatives bring high-value players?

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.

Is it useful for both hyper-casual and mid-core games?

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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