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AI Notebooks for Gaming: Grow retention, LTV and user engagement

Deepnote powers collaborative gaming analytics, enabling real-time insights on player retention, monetization strategies, and game performance optimization.

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Trusted by leading gaming companies

Enterprise-grade security and governance

Protect player and studio data with enterprise-grade controls. Deepnote ensures compliance for gaming analytics teams at any scale.

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Single Sign-On (SSO)

SAML authentication

Granular permissions

Encrypted connections

Single-tenant deployment

On-premise options

Audit logs

Sample Vendor in Gartner® Hype Cycle™ for Collaborative Analytics for 2025

What is Deepnote?

Deepnote is the enterprise notebook platform for gaming analytics.

Teams

Analysts, data scientists, and game designers collaborate in real time across SQL + Python to deliver governed game analytics dashboards:

Cohort models and KPI modules

Improved player retention and lifetime value

Workflows

Turn mobile game data into actionable video game insights:

Game retention strategies and player churn prediction

Game economy tuning and game balance

Support for LiveOps

Infrastructure

With native connectivity to your game analytics infrastructure (warehouses, ETL, BI) and in-cell AI that automates code and commentary, Deepnote accelerates game analysis, operationalizes games monitoring

Keeps analytics reproducible and governed

Connects with SensorTower, Unity, BigQuery, Snowflake, and Redshift

Player retention & churn

Build retention insights that scale

Cohort curves (D1/D7/D30), rolling retention reports, and churn risk scoring models to improve mobile game retention and mobile game data analytics.

Use BigQuery, Snowflake, or Redshift with integrations such as GameAnalytics, Unity Analytics, Mixpanel, and dbt for transformations.

Player retention illustration

Monetization & economy tuning

Optimize IAP and ad performance

Combine IAP and ads data, calculate ARPDAU and ARPPU, segment payers, and build player lifetime value models.

Run game balance and game economy simulations, perform pricing tests, and forecast revenue with Python.

Connect warehouses and BI tools (Looker/Tableau) with AppsFlyer or Singular for attribution.

Monetization economy illustration

Community sentiment & toxicity detection

Understand your community

Monitor Steam reviews, Reddit, and Discord to detect issues early and guide roadmaps.

Use LLM/NLP to classify toxic in-game chat and trigger real-time warnings, mutes, dashboards, and playbook actions to protect community health and retention.

Community sentiment illustration

Acquisition & attribution performance

Measure what drives growth

Track CPI and ROAS cohorts by channel, and measure creative lift.

Map SKAN data to understand how analytics can help improve game user acquisition.

Work with AppsFlyer, Singular, Mixpanel, and Google Analytics (Firebase for Unity).

Acquisition attribution illustration

Why Deepnote for Gaming

Built-in data connectivity

Native connectors to warehouses (BigQuery, Snowflake, Redshift) and dashboards; no fragile local setup, perfect for game analytics pipeline work.

Built-in data connectivity illustration

Speed to insight

AI‑assisted SQL+Python, charting, and code generation slash time‑to‑answer for game analysis.

Speed to insight illustration

Gaming metrics out of the box

Game analytics metrics (retention, ARPDAU, LTV, eCPM, fill rate) rendered as reusable modules.

Gaming metrics illustration

AI Agent for gaming analytics

Use Deepnote Agent for game analytics pipelines and in‑game analytics with Python or R, write SQL with schema context, and deploy notebooks into production. Integrate ML models and AI agents directly into notebooks when BI falls short.

AI Agent for gaming analytics illustration

Built for collaboration

Real‑time multi‑editor notebooks, comments, and governed workspaces keep analysts, PMs, and designers aligned on game statistics and games monitoring.

Built for collaboration illustration

LiveOps

Monitor in real time

Set up alerts on DAU, payer conversion, and server KPIs.

Connect these metrics directly to feature flags and remote config with Unity Analytics (Snowflake Data Access), PlayFab events, and Streamlit apps in Deepnote.

Monitor real time illustration

A/B testing

Optimize player onboarding

Analyze FTUE/tutorial funnels and identify funnel drop-off points.

Run statistical tests for in-game analytics on new features using Mixpanel, Unity Analytics via REST API, and orchestration tools like dbt and Airflow.

AB testing illustration

Game balance

Balance with telemetry

Run hero/build win-rate analysis and evaluate matchmaking balance.

Generate gaming insights from match telemetry for video game analytics using OpenDota and Steam Web APIs, DuckDB or warehouse tables, and interactive Deepnote notebooks and apps.

Game balance illustration

Built with Deepnote

Toxic behaviour detection demo

Toxic behaviour detection

Discover how AI models are used to detect toxic behavior in DOTA 2 gaming chats.

Gaming KPI analysis demo

Gaming studio KPI & Scenario analysis

Discover how gaming studios use key metrics and what-if analysis to optimize revenue, engagement, and strategic decisions.

Deepnote vs Jupyter for Gaming

Capability

Deepnote for Gaming

Classic Jupyter

Data connectivity

  • Native integrations with Snowflake, BigQuery, Redshift, Databricks, and more

  • Schema browser and secrets vault

  • Python and SQL together

  • Manual driver setup

  • Local environment configuration

  • Connectors vary

Collaboration

  • Real‑time multi‑user editing

  • Comments, shareable projects, and shared program state

  • Single editor by default

  • Handoffs via files or Git

AI agent

  • End-to-end AI-assisted data analysis

  • Inline AI suggestions for Python and SQL

  • Text to SQL with your data context

  • No native AI functionality

  • No shared AI context of schemas or enterprise metadata

Resource optimization

  • Auto-scaled cloud compute resources

  • Persistent environments that restart cleanly

  • Manual environment management and upkeep

  • Local or DIY servers

Enterprise governance

  • SAML SSO, SCIM, RBAC, audit logs, and workspace policies

  • Artifact lineage tracking, SOC 2 readiness and GDPR support

  • Add‑ons or self‑built solutions required

Scheduling and apps

  • Schedule recurring jobs

  • Publish interactive applications and dashboards

  • Needs external tools for scheduling and deployment

Integrations

  • First-class integrations across the modern data stack

  • Few or no first-class integrations available natively

Case Studies

Khanh Nguyen, Data Scientist

“Deepnote AI, in particular, has been a game-changer, offering us cutting-edge capabilities that continually enhance our data workflows.”
Explore Deepnote

Explore Deepnote

See what kind of data notebooks you can build in Deepnote.

Guy Yarkoni, Head of Analytics & BI

“Deepnote has revolutionized our data analysis workflow, enabling our teams to deliver insights in a fast collaborative manner.”

Take your gaming analytics to the next level

Book a demo or start free to connect your warehouse, import mobile game data, and publish a game analytics app your product team can use today.

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