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ThinkingAI Gaming Analytics

What it is

ThinkingAI Gaming Analytics is an agent-based offering for game analytics and live operations. Its agents analyze player events, draft possible live-ops actions, and measure results after a team approves the work. The Analytics Agent answers natural-language questions and provides dashboards, reports, and insights on retention, ARPDAU, game economy, and progression. Teams can run A/B experiments on live-ops plays and review performance after launch. Agents can prepare segmented player journeys and campaigns for team approval across push, in-app, email, and webhook channels. Listed connections include Unity, Unreal, App Store, Google Play, Firebase, BigQuery, Snowflake, Kafka, and Slack; warehouses and BI or operations tools can also connect through SDKs, APIs, webhooks, and MCP. The platform, agents, and model can run on-premises or in a customer's cloud, with data kept within that infrastructure. Agent actions are logged, and access controls plus token and cost caps are available. The offering is aimed at game studios. It has a free plan, paid monthly plans, and an enterprise option arranged through sales; a trial, initial-weeks onboarding, and dedicated support at any plan level are described.

For and against

For

  • Analytics Agent answers natural-language questions.
  • Reports cover retention, ARPDAU, economy, and progression.
  • A/B experiments measure live-ops performance.
  • Campaigns span push, in-app, email, and webhook.
  • Can run within a customer's infrastructure.

Against

  • Enterprise pricing requires contacting sales.
  • Free plan is limited to one project and one seat.
  • Free plan retains data for 12 months.

The verdict

ThinkingAI combines game analytics with approval-based live-ops planning and measurement. Its infrastructure deployment options and governance controls are notable listed capabilities, while plan limits vary by tier.

Who it suits

This offering suits game studios working on retention, monetization, acquisition, player engagement, or live operations. It may be relevant to teams seeking analytics and campaign planning within their own infrastructure.

Plans and prices

Free

Free

2 million events / month · $10 Agent Credits in the first month only · 1 project · 1 seat

Starter

$199a month

5 million / month events · $25 / month Agent Credits · 2 projects · 5 seats

Pro

$399a month

10 million / month events · $50 / month Agent Credits · 2 projects · 10 seats

Team

$999a month

30 million / month events · $100 / month Agent Credits · 3 projects · 15 seats

Enterprise

Priced on request

Committed monthly event volume · Agent Credits, projects, and seats by agreement · Unlimited data retention · Deployment and support options

Every plan, in full

On the record

Analytics
The Analytics Agent answers natural-language questions and provides dashboards, reports, and insights about retention, ARPDAU, game economy, and progression.thinkingai.io · read 8 Oct 2026
Audience
The offering is presented for game studios, with examples covering retention, monetization, whales, acquisition, and live operations.thinkingai.io · read 8 Oct 2026
Company history
ThinkingAI says it was founded as ThinkingData in Shanghai in 2015 by four engineers.thinkingai.io · read 8 Oct 2026
Data connections
ThinkingAI says teams can connect warehouses and BI and operations tools through SDKs, APIs, webhooks, and MCP.thinkingai.io · read 8 Oct 2026
Experiments
The platform includes A/B experiments in live-ops plays and reports measured performance after launch.thinkingai.io · read 8 Oct 2026
Game integrations
The gaming page lists Unity, Unreal, App Store, Google Play, Firebase, BigQuery, Snowflake, Kafka, and Slack among supported stack connections.thinkingai.io · read 8 Oct 2026
Governance
The maker says agent actions are logged end to end and access controls and token and cost caps are available.thinkingai.io · read 8 Oct 2026
Player engagement
Agents can draft segmented player journeys and campaigns across push, in-app, email, and webhook channels for team approval.thinkingai.io · read 8 Oct 2026
Purpose
ThinkingAI describes its gaming offering as an agent team for game analytics and live operations that analyzes player events, drafts live-ops actions, and measures results after the team approves them.thinkingai.io · read 8 Oct 2026
Security
The gaming page says the platform, agents, and model can run in the customer's infrastructure, with data kept within its perimeter and deployment on-premises or in the customer's cloud.thinkingai.io · read 8 Oct 2026
Trial and support
The gaming page invites teams to start a trial, describes onboarding over the initial weeks, and says dedicated support is available at any plan level.thinkingai.io · read 8 Oct 2026

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