Built for Consumer Apps.
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.

The questions your growth and product leads actually ask

- answered without a SQL ticket.

D7 retention, onboarding, UA quality, paywall timing, first-renewal churn, push campaigns. See where a generic agent breaks on each one, and how ClarityQ handles it.

You ask:

“Why did D7 retention drop for our iOS 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 release-day anomalies, aligns cohorts by weekday-of-week, and isolates exactly which segment dropped.

You ask:

“Did the new onboarding flow lift D1 retention and trial starts?”

How it works

Why other agents break

They can't bridge live in-app behavior with isolated experiment assignment logs.

How ClarityQ resolves it

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

You ask:

“Which UA channels deviate from our LTV forecast - creative or user quality?”

How it works

Why other agents break

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

How ClarityQ resolves it

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

You ask:

“Did moving the paywall earlier lift trial starts without hurting trial-to-paid?”

How it works

Why other agents break

They can't connect paywall impressions to trial, conversion and refund events across store and app data.

How ClarityQ resolves it

Joins paywall exposure with store transactions, and nets trial lift against conversion and refund changes.

You ask:

“Which subscribers churn at the first renewal, and what did they do in the app before?”

How it works

Why other agents break

They read store renewal reports and can't connect them to in-app usage.

How ClarityQ resolves it

Stitches App Store and Google Play renewals with usage events, and finds the engagement signals that preceded churn.

You ask:

“Did the push campaign bring users back, or just annoy the ones already active?”

How it works

Why other agents break

They count opens and miss who would have returned anyway.

How ClarityQ resolves it

Compares reached users against matched holdouts, and measures incremental sessions and uninstalls.

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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