1. First-bonus choice
The player picks the welcome offer that fits them instead of receiving one default.
- Primary
- NGR per registered player, D30
- Estimate
- €50k–150k NGR / month
- Size
- Medium, 5–6 weeks
Three bets on the moments where a player either becomes a repeat depositor or leaves: the first deposit, deposits two to four, and the day after the welcome pack runs out. Each bet has one primary metric and a line to NGR with its assumptions shown.
Most revenue in a casino comes from players who deposit more than once. The platform loses them at three predictable points. Each feature below owns exactly one of those points, so their metrics do not overlap and their effects add up.
The player picks the welcome offer that fits them instead of receiving one default.
A visible, escalating 4-step welcome pack with a clock on each step.
A daily share of yesterday's net loss back as withdrawable cash, claimable for 24 hours.
I scored eight candidates on three questions from the brief, 1 to 5 each: how much money and how sure am I (upside × confidence), how fast value shows up for the effort (time-to-value), and whether one build pays off on every brand (platform reuse). A feature needed a short, measurable path to NGR to make the cut.
| Candidate | Upside × confidence | Time-to-value | Platform reuse | Total | Decision |
|---|---|---|---|---|---|
| Zero-wager daily cashback | 4 | 5 | 5 | 14 | Picked |
| First-bonus choice | 5 | 3 | 5 | 13 | Picked |
| Deposit ladder | 4 | 4 | 5 | 13 | Picked |
| Failed-deposit recovery (PSP cascade) | 5 | 2 | 5 | 12 | Next depends on PSP contracts and decline-code data I don't have |
| Fast first withdrawal (early KYC) | 4 | 2 | 4 | 10 | Next needs a KYC vendor change and risk sign-off |
| Missions and bonus store | 3 | 3 | 4 | 10 | Later content-heavy, weak link to NGR |
| VIP progress visibility | 3 | 3 | 4 | 10 | Later effect shows after 60–90 days |
| "Play next" game recommendations | 2 | 3 | 4 | 9 | Dropped long chain of assumptions to money |
The three picks also share one advantage: each is mostly configuration on top of systems the platform already has (cashier, bonus engine, notifications). That keeps confidence high and time-to-value short with a 10–30 person team.
At the first deposit the player chooses between a big bonus with heavy wagering, a smaller bonus that is easy to cash out, or no bonus at all.
Today a single high-percentage match with x35–x45 wagering is attached to the first deposit by default. Bonus-driven players extract most of its value, which makes the bonus the largest cost line between GGR and NGR. Cautious first-timers read the wagering terms, feel trapped, and either skip the deposit or leave after losing the bonus. Wagering disputes ("my winnings were cut") also drive support load and bad reviews. The first deposit is the cheapest place to fix this, because it is the one moment every depositor passes through.
Cohort: players registered during the test, randomized at registration. Window: 30 days. Expected direction: up.
If the choice screen made fewer people deposit, NGR per depositor could still rise and hide the loss. Dividing by all registrations captures both effects at once: FTD conversion and bonus cost. 30 days because the welcome offers expire within 7–21 days, so by day 30 the bonus cost is fully realized and early play has settled.
measuredCard mix and bonus cost per FTD, straight from bonus events. assumptionPlayers who pick a smaller offer do not play less with their own money. estimateEvery player moved from Max bonus to Easy cashout saves about €20 of bonus cost; to No bonus, about €30.
Share of first depositors choosing Easy cashout or No bonus. If fewer than 20% leave the Max card, the savings cannot materialize and the test is not worth waiting for. Second signal: FTD conversion (registration → first deposit within 24h).
Bonus cost share of GGR on the new-player cohort should fall. NGR per first depositor at D60 confirms that cheaper offers did not produce lower-value players.
Evidence: choice menus at first deposit (standard, low-wager, high-roller, sport) are already common across operators, which shows the bonus engines support it and players understand it. Self-selection is the classic tool in pricing when one price overcharges some buyers and undercharges others. Wagering disputes are among the most frequent public complaints about offshore casinos, so a lower-wager path addresses a visible pain.
Assumptions I cannot verify from outside: that 30–45% of first depositors would leave the Max card, and that their own-money play is unchanged. Both are exactly what the test measures.
If 15,000 players make a first deposit each month across the three brands, 35% pick Easy cashout (saving ~€20 of bonus cost each) and 10% pick No bonus (saving ~€30 each), bonus cost falls by about €10 per first depositor, or €150k a month. If the extra screen costs 1 pp of FTD conversion, that is ~600 fewer first depositors worth ~€80 NGR each, or −€48k, leaving ~€100k. The low end (€50k) assumes only 20% leave the Max card.
The welcome pack becomes a visible four-step ladder where each step is worth more than the last and each step has its own clock.
A player who deposits once has paid the acquisition cost but rarely returned it. Multi-step welcome packs exist to pull players into deposits two to four, but they often work against themselves: steps shrink after the first deposit (100% → 80% → 70%), the next step is buried in a promotions page, and nothing reminds the player before it expires. The pack is paid for, yet it barely changes behaviour.
Eligible excludes self-excluded, blocked and KYC-failed accounts. Direction: up.
Step 2 is open for exactly 7 days, so D7 measures the feature's own window. A longer window would dilute the effect with deposits that happen anyway; a shorter one would miss weekend depositors who come back on payday. I would check this against the platform's median time between first and second deposit before locking it.
measuredSecond, third and fourth deposit rates per cohort. assumptionExtra second depositors are incremental, not players who would have deposited later anyway. estimateAn extra second depositor adds ~€60 of NGR over 60 days after the ladder bonus is paid.
Share of first depositors who tap the ladder widget within 72 hours. If the tracker is not being noticed, the second deposit cannot move. Second signal: share of step-2 deposits made in the last 48h of the window (shows the clock works).
Average deposits per first depositor and NGR per first depositor over 60 days, plus the share reaching step 4.
Evidence: the goal-gradient effect: people accelerate as they get closer to a reward (Kivetz, Urminsky & Zheng, 2006, coffee-card study). The endowed-progress effect: a card that shows progress already made gets completed more often (Nunes & Drèze, 2006). A ladder that shrinks after step 1 does the opposite of both. Deadlines raise completion because they remove "later".
Assumptions: that the uplift is +2 to +5 pp on RDR D7 and that it is incremental. The test design below separates shape from visibility so we learn which part works.
If 15,000 players make a first deposit each month and the ladder lifts Repeat Deposit Rate D7 from an assumed 40% to 43%, that is ~450 extra second depositors a month. At ~€60 of NGR each over 60 days, net of the ladder bonus, that is ~€27k a month. The range covers +2 pp to +5 pp. The effect compounds: each extra second depositor also enters steps 3–4 and the cashback pool of Feature 3, which this estimate does not count.
Every morning, a share of yesterday's net loss comes back as real, withdrawable cash that the player has 24 hours to claim.
After the last welcome step, players fall into a gap: reload offers are weekly and carry wagering, so session frequency drops and reactivation relies on expensive CRM bonuses. Wagered bonuses also create the most common disputes ("my winnings were voided"). A reward that costs a known share of GGR, has no strings attached and lands every day fills the gap cheaply.
Cohort: daily eligible players, randomized at player level. Direction: up.
The denominator includes everyone who qualified, claimed or not, so the metric cannot be inflated by the fact that engaged players claim more. 48h covers the 24h claim window plus the session that follows it; beyond that, returns mix with the player's normal rhythm. Because a return can be bought at a loss, the decision metric (item 7) is always NGR net of cashback cost.
measuredCashback cost, claim rate and return rate, straight from events. assumptionReturn sessions are incremental, not sessions the player would have had anyway. estimateA 10% cashback costs ~€12 per eligible player a month and the return sessions it drives produce €14–17 of GGR.
Share of credited players who tap Claim. It moves on day one and shows whether the offer is seen and valued. A claim rate under 30% means the message or placement fails before any money effect is possible.
The decision metric: GGR minus bonus cost minus cashback cost, per eligible player, over 30 days. Supporting: D30 retention and real-money active days per player.
Evidence: cashback on net losses is a long-established retention tool in land-based casinos (loss rebates for regular players) and online, which shows players value it. Loss aversion means a partial refund of a loss is felt more strongly than a same-sized bonus. Zero wagering removes the main source of bonus disputes. A daily credit with a 24h claim window is a simple habit loop: the trigger (a push) arrives at the same time every day.
Assumption: that the extra GGR from return sessions exceeds the cashback cost. This is not guaranteed, which is why the test has a dose arm rather than a yes/no switch.
If 30,000 real-money players per month qualify at least twice, a 10% cashback costs about €12 per player per month (two credits of ~€6). If the return sessions it drives add €14–17 of GGR per player, net NGR rises by €2–5 per player, or €60k–150k a month. Break-even is an uplift of €12 per player; below that the dose arm tells us to cut the percentage, not to drop the feature.
Illustrative baseline for three brands combined, per month: 60,000 registrations, 25% FTD conversion (15,000 first depositors), €50 average first deposit, 40% Repeat Deposit Rate D7, 30,000 post-welcome players with qualifying losses. Every number below scales linearly with these inputs, so replacing them with real data updates the estimate directly.
| Feature | Affected cohort / month | Uplift assumed | NGR / month | Size | Order |
|---|---|---|---|---|---|
| 3 · Zero-wager cashback | 30,000 players | +€2–5 net NGR per player | €60k–150k | Quick win, 2–3 wk | 1st |
| 1 · First-bonus choice | 15,000 FTDs | −€4 to −€10 bonus cost per FTD | €50k–150k | Medium, 5–6 wk | 2nd (parallel squad) |
| 2 · Deposit ladder | 15,000 FTDs | +2 to +5 pp RDR D7 | €18k–45k | Quick win, 3–4 wk | 3rd |
Sequencing with a 10–30 person team: one squad ships cashback in weeks 1–3, a second squad builds the first-deposit cashier in weeks 1–6, and the ladder follows in weeks 7–10 on top of the new cashier. Each test runs 4 weeks plus its measurement window, so all three have decision-quality results within about four months. The ranges are not added into one total, because the features share players and part of their effects overlap.
Every estimate on this page comes from these inputs. Move a slider and the three results update. Defaults match the text above.
The sum is an upper bound. The features share players, so part of their effects overlap; each test reads its own result against its own control group.
offer_viewed, offer_selected, ladder_step_viewed, cashback_credited and cashback_claimed. If these don't exist, instrumentation comes first.