Built for Gaming.
Made for Imperfect Data.

No ‘clean it first’. ClarityQ is built to work with your messy reality- automatically building & maintaining the semantic and contextual layers your data needs, while identifying, handling and cleaning data issues on the fly

No cleanup, no modeling required

Point ClarityQ at your raw warehouse. It infers schemas, resolves duplicates, handles nulls and conflicting field names - and learns your business naming on the fly.

One question. Every source.

Combine sales + finance, revenue + marketing spend, product + CRM in a single ask. ClarityQ joins across systems automatically. Undestand how to act and what to do with currency sinks, gacha rate drops, economy balance issues, level drop off and more

Asks back when it matters, proactively keeps the context in order

When there's ambiguity — duplicate metrics, overlapping definitions, missing periods — ClarityQ surfaces choices instead of guessing silently. It also initiate changes or additions to the context layer through a user-feedback loop - while keeping organized change management and version control

The questions your studio team asks

- answered instantly, with action plans

Retention, UA, economy, ads, soft-launch. Pick a real question. See why generic agents break — and how ClarityQ resolves it.

You ask:

“Why did D7 retention drop for our Tier-1 August cohort?”

How it works

Why other agents break

Other agents mis-join cohorts, confuse session vs. install country, and double-count reinstalls.

How ClarityQ resolves it

Filters rollout-day anomalies, aligns cohorts by weekday-of-week, and isolates exactly which segment dropped.

You ask:

“Did the new FTUE lift D1 retention and initial payer conversion?”

How it works

Why other agents break

They can't bridge live gameplay behavior with isolated experiment assignment logs.

How ClarityQ resolves it

Joins variant tags to early retention and IAP events. Flags thin sample sizes so you don't ship on noise.

You ask:

“Which UA channels deviate from our player LTV forecast — creative or quality?”

How it works

Why other agents break

They fail to cross-reference MMP attribution, ad spend, and downstream IAP tables.,

How ClarityQ resolves it

Reconciles messy channel aliases and splits variance into CPI shifts vs. post-install drop-off.

You ask:

“Did the Level 10 difficulty tweak impact currency sinks and whale ARPPU?”

How it works

Why other agents break

They can't connect gameplay telemetry to spending data - critical when 2% of players drive 60% of revenue.

How ClarityQ resolves it

Tracks virtual economy health by player tier - showing if friction drove purchases or pushed players out.

You ask:

“How did capping rewarded-video ads affect ARPDAU and churn for non-payers?”

How it works

Why other agents break

They fail to stitch mediation data (AppLovin, Unity) with session-level player profiles.

How ClarityQ resolves it

Unifies ad impression revenue with retention states to find the exact tipping point where monetization starts hurting engagement.

You ask:

“Are our soft-launch cohorts on track for the D30 needed for global rollout?”

How it works

Why other agents break

They only report historical data and can't project immature, 14-day-old cohort curves.

How ClarityQ resolves it

Applies native curve projection to model D30/D60 outcomes and flags readiness against genre benchmarks.

ClarityQ has been a real game-changer for us! It lets our entire gaming team work with data at scale. We’re querying billions of events and dozens of tables, with in-depth analysis delivered in seconds. It empowers both analysts and game owners with 5× greater efficiency and real data superpowers - saving countless hours of analysis and enabling faster, better decisions.

Guy Tomer

Co-founder & COO, CrazyLabs

ClarityQ became a critical decision layer for us, turning complex behavioral data into clear actions. We identified friction points in our onboarding and loyalty mechanics, which led us to remove low-impact features and focus on real revenue growth.
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Avner Azulay

Director of Product, Zaffic

ClarityQ lets our Marketing and Product teams get answers in minutes instead of hours. We used to juggle Firebase, GA, AdMob, Adjust - now everything lives in one place. Our analysis is easily 10x faster, saving us hours every time. But the real game-changer is the insights we wouldn't have found on our own - things we didn't even know to look for.

Eduardo Carqueja

CEO, Appgeneration

ClarityQ (or "Clara" as we refer to it) functions as a co-pilot analyst providing me and other stakeholders (including users who are resistant to use the standard reporting tools available in the company) with business insights via very friendly and convenient interface and visual outputs.

Mark Shohat

Head of Business Analysis, Spiral Interactive

Thanks to the ClarityQ Agent and strong team support, we found the perfect analysis wingman. It has significantly sped up our deep-dive analyses, is expected to cut analysis time by at least half and has freed up time to focus more on strategic work.
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