Sportsbook player half-life is 2.7 months; slots is 4.1
Churn cohort half-life = months until half the cohort stops depositing. The vertical gap is the single biggest driver of RevShare value and it's routinely ignored when comparing deals.
From ~8 tracked cohorts:
— Pure sportsbook: half-life 2.7 months. Event-driven, seasonal, sharp churn after a losing streak.
— Slots/casino: half-life 4.1 months. Habitual, less outcome-sensitive.
— Mixed wallet (book + casino cross-sell): 5.3 months — the longest, because cross-sold players have two reasons to return.
The consequence for RevShare: a casino deal at 30% can out-earn a sportsbook deal at 40% purely on half-life, because the surviving population compounds the share over more months.
The tactic: push operators to cross-sell your sportsbook players into casino. Every player you can move to a mixed wallet extends half-life ~95% and roughly doubles RevShare lifetime.
Benchmark of the day: RevShare lifetime scales with half-life, not headline rate — a +1.4 month half-life beats +10 points of rate.
Churn cohort half-life = months until half the cohort stops depositing. The vertical gap is the single biggest driver of RevShare value and it's routinely ignored when comparing deals.
From ~8 tracked cohorts:
— Pure sportsbook: half-life 2.7 months. Event-driven, seasonal, sharp churn after a losing streak.
— Slots/casino: half-life 4.1 months. Habitual, less outcome-sensitive.
— Mixed wallet (book + casino cross-sell): 5.3 months — the longest, because cross-sold players have two reasons to return.
The consequence for RevShare: a casino deal at 30% can out-earn a sportsbook deal at 40% purely on half-life, because the surviving population compounds the share over more months.
The tactic: push operators to cross-sell your sportsbook players into casino. Every player you can move to a mixed wallet extends half-life ~95% and roughly doubles RevShare lifetime.
Benchmark of the day: RevShare lifetime scales with half-life, not headline rate — a +1.4 month half-life beats +10 points of rate.
Hybrid "CPA + RevShare" usually underperforms pure RevShare by month 6
The popular hybrid — a reduced CPA ($90) plus a reduced RevShare (20%) — is marketed as "best of both." Modeled across ~20 deals, it's frequently the worst of both.
The structure: operators cut both legs roughly in half. So you get half the upfront certainty and half the long-tail compounding.
Worked example, $40 NGR/month player, 9% monthly churn:
— Pure CPA $180: $180 total.
— Pure RevShare 35%: ~$168 by month 12, still climbing.
— Hybrid $90 + 20%: $90 + ~$96 = ~$186 by month 12 — narrowly ahead, but only if churn stays under 9%.
The break: at 12%+ monthly churn the hybrid's RevShare leg starves and it falls behind pure CPA. Hybrid only wins in the narrow band of moderate churn and patient cash flow.
Benchmark of the day: hybrid beats both pure structures only when monthly churn sits in the ~7-10% band and you can wait 6+ months — outside that window, pick a side.
The popular hybrid — a reduced CPA ($90) plus a reduced RevShare (20%) — is marketed as "best of both." Modeled across ~20 deals, it's frequently the worst of both.
The structure: operators cut both legs roughly in half. So you get half the upfront certainty and half the long-tail compounding.
Worked example, $40 NGR/month player, 9% monthly churn:
— Pure CPA $180: $180 total.
— Pure RevShare 35%: ~$168 by month 12, still climbing.
— Hybrid $90 + 20%: $90 + ~$96 = ~$186 by month 12 — narrowly ahead, but only if churn stays under 9%.
The break: at 12%+ monthly churn the hybrid's RevShare leg starves and it falls behind pure CPA. Hybrid only wins in the narrow band of moderate churn and patient cash flow.
Benchmark of the day: hybrid beats both pure structures only when monthly churn sits in the ~7-10% band and you can wait 6+ months — outside that window, pick a side.
Bonus-hunters cap a cohort's NGR at ~22% below clean traffic
Bonus-abuse (players optimizing welcome offers, then leaving) doesn't just churn — it inverts NGR. Across a flagged ~3,000-player segment:
— Clean-traffic FTD cohort: $41 average month-1 NGR.
— Bonus-hunter cohort: $9 month-1 NGR, and 31% posted negative NGR (operator paid out more than it took).
That negative tail is the killer on RevShare-with-carryover deals: the abusers' losses pool against your positive players, dragging blended cohort NGR ~22% below what clean traffic alone would produce.
The signal to watch: time-to-second-deposit. Clean players re-deposit in a median 6 days; bonus-hunters either never do (single bonus claim) or re-deposit only at the next offer. A cohort where >25% never post a second deposit is bonus-poisoned.
Benchmark of the day: if your second-deposit rate is under ~55%, your effective RevShare is ~22% lower than the rate card implies — clean the source before renegotiating.
Bonus-abuse (players optimizing welcome offers, then leaving) doesn't just churn — it inverts NGR. Across a flagged ~3,000-player segment:
— Clean-traffic FTD cohort: $41 average month-1 NGR.
— Bonus-hunter cohort: $9 month-1 NGR, and 31% posted negative NGR (operator paid out more than it took).
That negative tail is the killer on RevShare-with-carryover deals: the abusers' losses pool against your positive players, dragging blended cohort NGR ~22% below what clean traffic alone would produce.
The signal to watch: time-to-second-deposit. Clean players re-deposit in a median 6 days; bonus-hunters either never do (single bonus claim) or re-deposit only at the next offer. A cohort where >25% never post a second deposit is bonus-poisoned.
Benchmark of the day: if your second-deposit rate is under ~55%, your effective RevShare is ~22% lower than the rate card implies — clean the source before renegotiating.
Deposit frequency, not deposit size, predicts 71% of LTV variance
Most affiliates segment by first-deposit size. The data says that's the wrong axis. Regressing LTV on player features across a ~10k cohort, deposit frequency (deposits per active month) explained 71% of LTV variance; first-deposit amount explained only 19%.
Why: a player depositing $20 weekly clears ~$1,040/year of stakes; a player depositing $200 once and going quiet clears $200. Frequency is the engine; size is noise around it.
— Top frequency quintile (≥4 deposits/month): LTV ~$890.
— Bottom active quintile (1 deposit/month): LTV ~$160.
— A 5.6x LTV spread driven almost entirely by cadence.
The acquisition implication: optimize creatives and GEOs for habitual depositors (low-friction payments, micro-stake comfort) over high-roller theater. A GEO with cheap instant payments and a weekly-bet culture beats a high-AOV GEO with payment friction.
Benchmark of the day: rank GEOs and sources by median deposits/month, not average first deposit — frequency carries ~3.7x the predictive weight.
Most affiliates segment by first-deposit size. The data says that's the wrong axis. Regressing LTV on player features across a ~10k cohort, deposit frequency (deposits per active month) explained 71% of LTV variance; first-deposit amount explained only 19%.
Why: a player depositing $20 weekly clears ~$1,040/year of stakes; a player depositing $200 once and going quiet clears $200. Frequency is the engine; size is noise around it.
— Top frequency quintile (≥4 deposits/month): LTV ~$890.
— Bottom active quintile (1 deposit/month): LTV ~$160.
— A 5.6x LTV spread driven almost entirely by cadence.
The acquisition implication: optimize creatives and GEOs for habitual depositors (low-friction payments, micro-stake comfort) over high-roller theater. A GEO with cheap instant payments and a weekly-bet culture beats a high-AOV GEO with payment friction.
Benchmark of the day: rank GEOs and sources by median deposits/month, not average first deposit — frequency carries ~3.7x the predictive weight.
Click-to-FTD benchmark: 2.1% organic, 0.7% paid, 4.8% email
Click-to-FTD (the share of operator-bound clicks that become first-time depositors) is the cleanest cross-channel quality metric. Pooled across ~120k clicks:
— Organic search (review/comparison): 2.1%.
— Paid social cold: 0.7%.
— Branded/SEO bonus pages: 3.4%.
— Email to opted-in list: 4.8%.
The spread tells you where margin actually lives. A 0.7% paid click at $1.20 CPC needs the operator's effective payout per FTD to clear ~$170 just to break even before your margin — which is why cold paid social only works on high-CPA Tier-1 with strong LTV.
Email at 4.8% is the quiet winner: near-zero marginal cost, highest conversion, and it compounds with reactivation campaigns.
The diagnostic: if a channel's click-to-FTD is below ~1%, it's not a creative problem, it's a channel-fit problem — don't A/B your way out of a structurally wrong audience.
Benchmark of the day: target ≥2% click-to-FTD on any channel you scale; below ~1%, the channel is subsidizing the operator, not you.
Click-to-FTD (the share of operator-bound clicks that become first-time depositors) is the cleanest cross-channel quality metric. Pooled across ~120k clicks:
— Organic search (review/comparison): 2.1%.
— Paid social cold: 0.7%.
— Branded/SEO bonus pages: 3.4%.
— Email to opted-in list: 4.8%.
The spread tells you where margin actually lives. A 0.7% paid click at $1.20 CPC needs the operator's effective payout per FTD to clear ~$170 just to break even before your margin — which is why cold paid social only works on high-CPA Tier-1 with strong LTV.
Email at 4.8% is the quiet winner: near-zero marginal cost, highest conversion, and it compounds with reactivation campaigns.
The diagnostic: if a channel's click-to-FTD is below ~1%, it's not a creative problem, it's a channel-fit problem — don't A/B your way out of a structurally wrong audience.
Benchmark of the day: target ≥2% click-to-FTD on any channel you scale; below ~1%, the channel is subsidizing the operator, not you.
The top 3% of players generate ~55% of cohort NGR — and all your variance
NGR concentration in iGaming is extreme. Across ~9 cohorts, the top 3% of depositors produced a median 55% of total NGR. On RevShare, that concentration is both your upside and your existential risk.
The asymmetry: those same whales drive the negative-carryover events. A single whale's winning month can swing a cohort from +$8,000 NGR to +$2,000, cutting your RevShare 75% for that month on a cohort that hasn't actually changed in size.
Two defensive structures:
— No negative carryover (covered earlier) caps the downside.
— A cap-and-floor deal: operator floors your monthly share but caps the whale upside. Trades expected value for variance reduction — correct if cash flow matters more than ceiling.
The portfolio read: a single-operator affiliate with whale-heavy traffic is running an undiversified bet on dice variance. Spreading across 3+ operators smooths the whale variance roughly with the square root of operator count.
Benchmark of the day: if your top 3% exceeds ~50% of NGR, treat monthly RevShare as a variance series, not income — diversify operators or buy the floor.
NGR concentration in iGaming is extreme. Across ~9 cohorts, the top 3% of depositors produced a median 55% of total NGR. On RevShare, that concentration is both your upside and your existential risk.
The asymmetry: those same whales drive the negative-carryover events. A single whale's winning month can swing a cohort from +$8,000 NGR to +$2,000, cutting your RevShare 75% for that month on a cohort that hasn't actually changed in size.
Two defensive structures:
— No negative carryover (covered earlier) caps the downside.
— A cap-and-floor deal: operator floors your monthly share but caps the whale upside. Trades expected value for variance reduction — correct if cash flow matters more than ceiling.
The portfolio read: a single-operator affiliate with whale-heavy traffic is running an undiversified bet on dice variance. Spreading across 3+ operators smooths the whale variance roughly with the square root of operator count.
Benchmark of the day: if your top 3% exceeds ~50% of NGR, treat monthly RevShare as a variance series, not income — diversify operators or buy the floor.
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For dating offers done right, @SwipeMyths is the move. We debunk the recycled 'truths' of dating affiliate marketing — the angles everyone…
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Яндекс разворачивает экосистему AI-агентов на базе Алисы с доступом сначала для компаний, затем для всех. Агенты уже работают в Яндекс Такси и Лавке, скоро появятся в браузере и студии разработки. Платформа интегрирует стандартные функции — заказ такси, покупки, анализ данных. Алиса AI показывает неплохие результаты: менее известна, чем конкуренты, поэтому предлагает щедрые лимиты на видеогенерацию и работу с контентом. Яндекс планирует внедрить…
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Sportsbook NGR swings ±40% on the sporting calendar; plan deals around it
Sportsbook revenue is non-stationary in a way casino isn't. Across a 24-month series, monthly NGR ran ~40% above trend in peak windows (major tournaments, season openers) and ~25% below in dead weeks.
The consequence most affiliates miss: signing a RevShare sportsbook deal off a peak-month cohort overstates steady-state value by ~30%. The operator knows this; the affiliate often doesn't.
— Acquire in peak: high FTD volume, but the cohort's run-rate NGR reverts down once the calendar quiets.
— Acquire in trough: lower volume, but cohort NGR run-rate is closer to true steady state — and your acquisition costs are usually cheaper.
The tactic: benchmark a sportsbook deal on a full-calendar cohort or a trough-month cohort, never a tournament-month cohort. And cross-sell peak acquisitions into casino fast — it's the only way to hold the NGR through the off-season.
Benchmark of the day: discount peak-month sportsbook cohort NGR by ~30% to estimate steady state before pricing a long-term RevShare.
Sportsbook revenue is non-stationary in a way casino isn't. Across a 24-month series, monthly NGR ran ~40% above trend in peak windows (major tournaments, season openers) and ~25% below in dead weeks.
The consequence most affiliates miss: signing a RevShare sportsbook deal off a peak-month cohort overstates steady-state value by ~30%. The operator knows this; the affiliate often doesn't.
— Acquire in peak: high FTD volume, but the cohort's run-rate NGR reverts down once the calendar quiets.
— Acquire in trough: lower volume, but cohort NGR run-rate is closer to true steady state — and your acquisition costs are usually cheaper.
The tactic: benchmark a sportsbook deal on a full-calendar cohort or a trough-month cohort, never a tournament-month cohort. And cross-sell peak acquisitions into casino fast — it's the only way to hold the NGR through the off-season.
Benchmark of the day: discount peak-month sportsbook cohort NGR by ~30% to estimate steady state before pricing a long-term RevShare.