Key Takeaways
- Three distinct player types respond to bonuses differently: bonus-indifferent, promo-responsive, and promo-exploitative.
- Bonus-indifferent players (score < 0.3) would have deposited without any incentive. Sending them a bonus is pure cost.
- Redirecting 25-35% of misfired bonus spend to promo-responsive players typically drives 15-25% improvement in GGR per bonus dollar.
- On $200K/month in bonuses, that's $30-50K in recovered ROI every single month.
In This Article
- 01Three player types, one dimension
- 02Matching the offer to the score
- 03The ROI math
There's a category of player that most operators underserve: the player who is price-sensitive to bonuses but not a promo hunter. These players respond strongly to well-timed, correctly sized offers: they deposit more, play longer, and churn less when the bonus is right. The challenge is identifying them, because their behavioral profile overlaps with both regular players and abuse risk segments. Promo sensitivity scoring separates all three.
THREE PLAYER TYPES, ONE DIMENSION
When you score players on promo sensitivity, three clusters emerge. The first is bonus-indifferent: these players deposit and play regardless of what bonus is on offer. Sending them a bonus is pure cost, they would have deposited anyway. The second is promo-responsive: these players have a demonstrated behavioral uplift following a well-matched offer. Their next deposit is larger, their session frequency increases, and their churn probability drops for 30-45 days. The third is promo-exploitative: they're maximizing expected value from the bonus, not the game. They need a different strategy entirely.
MATCHING THE OFFER TO THE SCORE
Once you have a promo_sensitivity_score for every player, the CRM logic becomes intuitive. Indifferent players (score < 0.3) get no bonus or a minimal loyalty gesture. You're not moving the needle, so why spend? Responsive players (0.3-0.7) get the tailored bonus: right size, right timing, right game type match. High-risk players (> 0.7, cross-referenced with bonus_abuse_score) get a sticky bonus or a free bet, not a deposit match. Same budget. Significantly different outcomes.
THE ROI MATH
A mid-size operator running $200K/month in deposit match bonuses across all active players typically sees 15-20% of that budget going to bonus-indifferent players (wasted) and 10-15% to abuse-risk players (negative ROI). Redirecting that 25-35% to promo-responsive players, who were underserved before, typically drives 15-25% improvement in GGR per bonus dollar spent. On $200K/month, that's $30-50K in recovered bonus ROI every month.
Promo sensitivity isn't a new concept. Experienced CRM managers have been doing this intuitively for years. Scoring makes it systematic, scalable, and data-driven across your full player base, not just the segments a CRM manager has time to review manually.
Erik Ternav
Co-founder, Data & AI, Lintvern
Four years as a data scientist at IBM building AI solutions for enterprises across Europe. Now co-founder at Lintvern, where he solves the exact problem that killed most of those projects: getting models out of development and into the system where real decisions happen every day. In iGaming, that means daily player scores (bonus abuse risk, churn, promo sensitivity, VIP potential) delivered straight into the CRM operators already use.
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FAQ
COMMON QUESTIONS
Questions about bonus roi scoring for iGaming operators.
What is promo sensitivity in iGaming?
Promo sensitivity measures how strongly a player's behavior is influenced by bonus offers. A high promo sensitivity score indicates that well-timed bonuses produce measurable behavioral uplift: larger deposits, longer sessions, lower churn probability. A low score indicates the player's behavior is largely independent of promotions. They deposit regardless of whether a bonus is active.
How is promo_sensitivity_score different from bonus abuse detection?
Bonus abuse detection (bonus_abuse_score) identifies players who exploit promotions for arbitrage, completing wagering and withdrawing with no intent to play organically. Promo sensitivity (promo_sensitivity_score) identifies players who genuinely respond to bonuses with increased engagement. A player can have low abuse risk and high sensitivity (the ideal target), or high abuse risk and high sensitivity (to be handled with sticky bonuses). The two scores are complementary inputs for bonus strategy.
What does a promo-responsive player look like behaviorally?
A promo-responsive player shows measurable behavioral uplift in the 7-14 days following a well-matched bonus: deposit amounts increase, session frequency rises, and churn probability falls. Historically, their bonus-to-organic play ratio shows that they continue playing after bonus funds are exhausted, unlike promo hunters who stop immediately after wagering. They also tend to engage with bonuses on games they play organically, not just minimum-wagering games.
How does promo sensitivity scoring improve bonus ROI?
By identifying which players respond to bonuses and which don't, operators can redirect budget from bonus-indifferent players (no ROI) and high-abuse-risk players (negative ROI) to genuinely responsive players. This same budget generates more GGR because it reaches players for whom the bonus is a genuine behavioral trigger. In operator scan data, this reallocation typically produces 15-25% improvement in GGR per bonus dollar spent.
Can promo sensitivity scoring be used with any CRM platform?
Yes. promo_sensitivity_score is written as a player attribute in your warehouse alongside your other Lintvern scores. Any CRM that reads from your warehouse (Optimove, Fast Track, Salesforce, Braze, or an in-house system) can use it as a targeting condition in bonus campaign logic without any platform changes.
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