Gamers Lab Enterprise
The right partner for ambitious game studios.
White-glove data science and data analytics for enterprise gaming partners. A senior team that works inside your goals, on top of the Gamers Lab platform.
Engagement plan- Week 1Data import and auditExisting events, revenue, and player dataDone
- Weeks 2 to 4Gaps and prioritiesAgreed outcomes and priority signalsDone
- Day 45First recommendationsOwner, priority, and expected resultIn progress
- Day 90Impact reviewMeasured against the baselinePlanned
An extension of your team
Your partner from the start to success.
Get white-glove support across data science, data engineering, business, and community to turn your goals into measurable results.
- 01Expert leadershipWork with senior data, product, and business experts to define priorities and build a clear plan around your goals.
- 02Faster time to insightWe import and assess your existing data to shorten onboarding, identify gaps, and uncover opportunities early.
- 03Hands-on implementationFrom data integrations to product improvements, our specialists help turn recommendations into working solutions.
- 04Ongoing expertiseGet continued analysis and support as your needs evolve, with experts who understand your data, your game, and your community.
- 05Proactive investigationFlag emerging issues and investigate what is driving them.
- 06Impact measurementTrack how changes improve retention, revenue, or player experience.
Founding team
The people behind the work.
Every enterprise engagement is led by a founder, with decades of combined experience across game publishing, engineering, and behavioral data science.
Business
Ryan WallerCEO
Ryan is a game publishing executive with more than two decades of experience and a portfolio spanning more than 30 published titles.
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Engineering
Eric Vander WalCPO
Eric is a product and engineering leader with more than two decades of experience building platforms and developer tools across more than 50 games.
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Data intelligence
Dr. Joon YoonCDO
Joon holds a PhD in Economics from Stanford University and specializes in behavioral modeling and data science at scale.
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What we cover
Improve performance where it matters most.
- 01
Growth & retention
Find where players get stuck, why they leave, and what keeps them coming back.
Activation · D1 to D30 · Churn · Reactivation
- 02
Monetization & economy
Identify what drives purchases, how players earn and spend currency, and where your economy needs balancing.
Conversion · Offers · Rewards · Currency flow
- 03
Integrity & risk signals
Investigate suspicious scores, unusual transactions, and potential exploits to help protect fair play.
Anomalies · Exploits · Fair play · Verification
- 04
Live operations
See how updates, events, and experiments affect your players and revenue, so you know what to improve next.
Events · Releases · Experiments · Interventions
How we work
From signal to action.
A number moving is not an answer. Every material finding is checked against affected players, recent changes, historical patterns, and competing explanations before it reaches your team.
- Step 1
Detect
Meaningful movement across the agreed outcomes and priority signals.
- Step 2
Explain
Who was affected, when it began, what preceded it, and the most credible explanation.
- Step 3
Recommend
A specific next step with a clear priority, owner, and expected result.
- Step 4
Measure
Track the decision, compare the result with the baseline, and determine the next move.
Hands-on enterprise intelligence
Put your game data to work.
A 30 minute conversation about your goals, your data, and where a partner team would make the biggest difference.