Competitive Intelligence Platform

Know where you stand. Prove why it changed.

Metriquality shows your studio's own game alongside rival estimates, prescribes the right move, and measures the impact — automatically.

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Built for teams on

UnityUnreal EngineGodotMobile Live-OpsMulti-Title Agencies

Three things no other platform does together.

Your own-game actuals. Rival estimates. Measured impact on every decision — lift evidence, not hand-waving.

📊

Your game vs. the competition — in one view

See your own studio's real player counts and CCU alongside rival estimates in the same table. Your data is first-party actuals. Theirs are calibrated estimates. Never mixed up.

First-party actuals
🔬

Board-ready measurement, not just a recommendation

Every action Metriquality prescribes comes with a before/after significance test 7 days later — real p-values from your own telemetry as an internal effect-size indicator. Run a holdout / geo-split and that lift becomes incremental. "We acted, retention lifted +4.2pp, p=0.03" is a sentence your investors understand.

Measured impact
🎯

Be first when the market shifts

Manage your rival watchlist yourself — add and remove titles directly from your studio portal. When a competitor stumbles, you're alerted within ~5 minutes with a campaign ready to send.

5-min radar

Up and running in an afternoon

No data warehouse. No custom dashboards. No weekly analyst meetings.

01 — Instantly

See where you stand

Your studio portal shows your own game's CCU and player counts alongside rival estimates — your actuals vs. their best-guess, side by side.

02 — 30 min

Install the SDK

Drop a Unity or Unreal package into your game. Tag player events to your build ID and point it at your ingest endpoint.

03 — 5 min

Connect Jira & Discord

One webhook each. Metriquality reads your sprint history, maps feature tags to ship dates, and starts listening to player sentiment automatically.

04 — 7 days later

Prove ROI to your board

Metriquality automatically runs a statistical test on every recommendation. You get a real p-value — not a dashboard, not a feeling.

Example AI insight + measured impact
"Sprint 47's matchmaking update triggered a 18% session drop within 6 hours. Metriquality armed the crisis gate — UA paused, change freeze recommended. 7 days later: retention recovered +4.2pp. Measured lift, directional — run a holdout to confirm incrementality."
— Generated automatically · patch v2.4.1 · p=0.031 (internal effect-size indicator) · delivered without a data scientist

Your rivals' bad weeks are your best weeks

Player loyalty is fragile. When a competing title stumbles, there's a window to win their audience. Metriquality tells you the moment it opens.

Market Radar

Stop waiting for word of mouth. Know first.

We monitor the titles your studio cares about — continuously, every ~5 minutes. Add and remove rivals yourself from the studio portal. No operator emails, no support tickets.

  • Self-serve watchlist — add rivals in under a minute
  • Proprietary scoring model across multiple signal types
  • Tiered alerts: from early warning to critical window
  • Ready-to-send outreach campaign — no drafting required
  • Export all data in open format — your data, always portable, no lock-in
  • Steam estimation live · more platforms on the roadmap
Critical Opportunity Detected
Rival Arena: Champions
Market radar · Updated 4 min ago
Opportunity score
Critical
Multiple signals converging · High confidence
→ Outreach campaign ready
Back-test · Public crisis event · Nov 2024
"Way of the Hunter's physics overhaul shipped 1 Nov 2024. SteamDB showed the CCU drop publicly at T+41 hours. Metriquality flagged the vulnerability at T+3 hours — 38 hours before it was publicly visible — and issued an aggressive_uacq recommendation with 78% confidence. Studios in the hunting simulation genre that acted within the 72-hour window saw an average CCU lift of +14% over the following 30 days."
— Retroactive back-test · Metriquality detection vs SteamDB public visibility · 38-hour lead time · Nov 2024

Built for production from day one

Production-grade infrastructure. Sub-50ms ingest. Measured impact on every decision.

Ingest latency
< 50ms
p99, per event
Correlation window
6 hrs
Post-patch signal
Market radar cycle
~5 min
Continuous monitoring
AI inference
Live
< 2s per decision

Your data. Your proof. Your edge.

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