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Game Analytics & Live-ops

The agent team that grows your game

Agents read every player event and draft the live-ops move. Your team approves what ships, then measures the lift. In your own infrastructure.

10 years · 1,500+ companies · 8,000+ games

Live-ops loop · one game running

Player base · this game

34.7k active
New18.2kPayers4.1kWhales312At-risk2.7kLapsed9.4k

Analytics Agent

Analyze

Whale ARPDAU slipped after the last event. The Analytics Agent traced it to a D7 progression wall.

Whales-12%
Payers-4%
Freeflat

One event base

UnityUnrealiOSAndroid
iOS · Android
SegaKraftonXiaomiYostarHabby+ 1,500 more companies

For game studios

Every live-ops question, answered in minutes

Retention, economy, whales, UA: agents read the player events behind each question and draft the move. Your team approves everything that ships.

See how it works

Ask in plain language. Your LiveOps team asks the way they would in Slack; the agents run the real analysis on your event data, no SQL and no ticket.

Runs inside your own stack. Self-hosted, on your own keys, so player data never leaves your perimeter.

Ten years of game analytics. Built by a team that has run live-ops data for 1,500+ companies and 8,000+ games.

Retention · agent answer

Live

What sets us apart

Analyze, engage, act. One live-ops loop.

Ask about your game and the agents analyze it, draft the live-ops move, and once you approve, ship it and measure the lift. One loop, with your team in control at every step.

01Analyze

The heavy data work, reduced to a question

Ask why D7 dipped or where the economy leaks. The agents run the queries and hand back the dashboard, the numbers, and the insight, with evidence attached.

  • Ask in plain language, no SQL and no ticket
  • Dashboards, reports, and insights on demand
  • Retention, ARPDAU, economy, progression
How the analysis works

Player funnel by step

Agent answer
InstallTutorialProgressionStore viewPurchase

The tutorial-to-progression step drives 84% of the drop. Root cause attached.

02Engage

The agents draft the live-ops move

The agents draft the play in Flow Canvas: the segment, the journey, and the offer, with the A/B test wired in before anything reaches a player.

  • Segmented player journeys in Flow Canvas
  • A/B test built into every play
  • Right segment, right moment
Inside Flow Canvas

TriggerLapsed whale, 14 days idleOffer AOffer BA/B 50/50+11%Offer B wins
03Act

You approve, the agents launch and monitor

Once your team gives the nod, the agents execute the whole play: the journey goes live across your channels, the A/B experiment runs alongside it, and performance flows back to your dashboard.

  • Launches the journey, no client patch or store review
  • Runs the A/B experiment on the same event base
  • Monitors performance and reports the lift back
How shipping and measuring works

Draft ready: lapsed-whale win-back

In-app VIP offer · A/B vs control

Approved

Measured lift after ship

Verified by A/B

+9%

Whale ARPPU

96%

Confidence

3,410

Whales in test

Recently shipped

  • Lapsed-whale win-back journey+11%
  • Level-12 wall re-balance+6.2%
  • New-player FTUE reward nudge-0.4%

Illustrative examples. Every play ships with built-in A/B verification.

One platform

Built to act on what you find

Move a segment into a campaign, hear players across every channel, and own the pipeline underneath. Three surfaces beyond the charts.

Win-back · lapsed whales

at-risk
pushin-appemailwebhook
ReviewApprove & send

Engage

Turn the segment you just analyzed into a campaign, task, or player journey. Agents draft the move; your team approves and ships.

All channels

live
positiveneutralnegative
new eventbalanceserver laghotspot ▲

Omnichannel insight

Discussion volume, sentiment, and trending topics across every community channel, tied back to in-game behavior.

SDKStoreAds

Your warehouse

direct · no sync

self-hosted

Data Operation Platform

Ingest from any source, connect your warehouse directly, and run it all self-hosted. One first-party base powers everything.

Customer spotlight

Century Games grows Whiteout Survival with data-driven iteration

Century Games is a global studio behind the 4X strategy hit Whiteout Survival, run by teams that live in player and monetization data across the whole game lifecycle.

Challenge

Whiteout Survival runs on data from many places at once: ad platforms, monetization, and player behavior each live in their own backend. The team wanted a single home where all of it could be compared side by side and analyzed end to end, instead of stitching together scattered dashboards.

Solution

ThinkingAI syncs third-party ad platforms and monetization data into one base, then compares win rate, resource ownership, and progression across whales, dolphins, and regular players in real time. UA spend and in-game monetization are tuned from a single platform, not scattered dashboards.

Products

  • Analytics Agent
  • A/B Test Agent
  • Engagement Agent
  • Data Collection Agent
  • Total Context
  • Skill Library
At any stage of a game’s lifecycle, developers need a system that can integrate multiple backend data sources to facilitate multi-dimensional data comparison and one-stop management analysis.
Century GamesCentury Games
Whiteout Survival · global 4X strategy hit

+15%

increase in player retention

+30%

improvement in user acquisition

Security your studio controls

The platform, the agents, and the model run inside your own infrastructure, so player data, including data from younger players, never leaves your perimeter. Deploy in the region you choose, on-prem or in your own cloud.

Self-hosted by design: deploy on-prem or in your own cloud, with your keys and access control.

Every agent action is logged end to end, with token and cost caps built in.

Self-hosted
BYOM
In-perimeter
Access control
Audit logs
Data residency

Works with the engines, data, and live-ops stack you already run

Connect the warehouse, BI, and ops tools you use to scale, through SDKs, APIs, webhooks, and MCP, so the agents work inside your pipeline, not around it.

Client and server SDKs keep the event stream clean at the source.

Three-tier MCP connects agents to your analytics, ops, and everyday tools.

UnityUnity
UnrealUnreal
App StoreApp Store
Google PlayGoogle Play
FirebaseFirebase
BigQueryBigQuery
SnowflakeSnowflake
KafkaKafka
SlackSlack

Faster, automated onboarding

No strings attached.
Really.

When your trial is winding down you will get plenty of notice, and a plan that fits your stage. No surprise lock-in. Your data stays yours.

Getting set up with ThinkingAI in the first month

Solution expert

Gets you live, fast.

Dedicated support

Yours at any plan level.

Today

Start your trial. Connect a data source, invite the team, and the agents begin reading your player events. Our team and AI agents handle the setup, in your cloud or ours.

Get your free demo

Week 1

The agents learn your game. Your KPI tree, event and economy taxonomy, and the live-ops playbooks your team already trusts.

Weeks 2-4

Run the live-ops loop for real. Ask real questions and ship real moves, with your team approving every send.

Decision day

Pick your path. Keep going on a plan that fits, or walk away with your data. Your call.

We've got your back

Talk to us before the trial ends and we will help you choose the path that is right for your team.

Ready to Build Your Agent Team?

See Agentic Engine on your own data, with your team approving every call