Fast Start
Retention Diagnostic Sprint
2–3 weeks
- Player value segmentation review
- Leakage map by feature and offer type
- Top 10 monetization opportunities
- A/B test framework and quick-win recommendations
- Action plan for CRM and product teams
Delivery Options
Engagement models designed for measurable retention uplift.
For established operators protecting margin and new iGaming startups building retention right from day one.
What I can deliver
Most Popular
Monetization Decision Framework
4–8 weeks
- Instant withdrawal eligibility tiers
- Bonus and prize-wheel value calibration
- Volatility-fit segment strategies informed by actual game RTP & variance
- Tax-aware model tuning for regulated jurisdictions
- Production outputs on Snowflake, Databricks, or AWS
Ongoing
Fractional Lead Data Science
Monthly advisory or retained delivery
- Churn/lapse model iteration
- CRM promotion testing roadmap
- Ongoing A/B test design and analysis
- Tableau / Power BI dashboard delivery
- Causal deep-dives on performance questions
- Cross-game exploit pattern detection & mitigation
- KPI governance and reporting cadence
- Cross-functional stakeholder support
New iGaming Operators
Just launched or pre-launch? This section is for you.
Why new operators lose margin before they even realise it
Most startups launch with a generous feature set — instant withdrawals, welcome bonuses, prize wheels — with no model behind who should get what. Every day without a retention framework is revenue you will never recover.
- Over-bonusing low-value players from day one compounds fast into a structural cost
- Instant withdrawals extended to the wrong segment become a recurring expense, not a competitive advantage
- Without churn signals you cannot intervene before a player lapses for good
- Regulated market licensing in UK, Ontario, NJ, and PA increasingly expects you to demonstrate responsible player management — a segmentation framework gives you that evidence
- Competitors who build retention science early grow LTV; those who skip it chase acquisition forever
- Without abuse detection, sophisticated players can exploit the interplay between cash/bonus balances and specific game mechanics to extract low-risk profit at your expense — often invisibly at first
Startup Track
Retention Foundation Build
Get the science right before bad habits compound.
- Player value framework tailored to your game mix
- First segmentation model before your base scales
- Game-math-informed RTP and volatility strategy for your title mix
- Early-stage game product abuse detection framework
- Offer and feature eligibility rules from launch
- Regulated-market-ready model structure from day one
- KPI dashboards your CRM and product teams can act on
Example business questions I solve
- Which player segments should receive instant withdrawals vs delayed payout rules?
- How much match bonus is commercially efficient per value segment?
- What prize-wheel value maximizes retention without margin erosion?
- Which customers are at risk of lapse in the next 7/14/30 days?
- Who should be exposed to high-volatility titles—and who should not?
- What does the causal evidence say about why a player cohort is underperforming?
- What should our Tableau or Power BI retention dashboard actually measure?
- How do we make instant withdrawals commercially viable when operator processing costs are factored in?
- How should our monetization model change when operating under UK, Ontario, NJ, or Pennsylvania regulations?
- We are a new operator — what retention infrastructure do we need to build first, and in what order?
- How does the RTP and volatility profile of our game mix affect player valuation and the right bonus strategy?
- Are players exploiting the interplay between our cash/bonus balances and specific game mechanics to extract profit at our expense?
- Which of our players are using Martingale or similar betting strategies, and how should that affect their segment, limits, and offer eligibility?
Ideal partners
Established operators who want practical data science embedded into commercial operations — particularly those scaling in regulated markets or plugging revenue leaks in retention.
New iGaming startups who want to build their retention infrastructure correctly from the start, avoiding the expensive mistakes that are hard to unwind once the player base is large.
In both cases: if your team needs a specialist who bridges analytics, CRM, product decisions, and regulatory constraints, I turn complex player data into profitable actions fast.