‍

A Decade-Strong Social
Bingo Leader Looking for iOS Growth

Bingo Blitz is Playtika's flagship social bingo game: a freemium, travel-themed title that has been one of the top-grossing bingo apps in the U.S. for over a decade. Like most free-to-play games, it earns through in-app spending, so keeping players active and bringing lapsed players back is key.

Bingo Blitz faced a challenge common to many long-running free-to-play games: keep re-engagement efficient as spend grows. The hard part was iOS. A large share of the game's highest-value players are on iPhone, where Apple's privacy framework removes the device-level signals most retargeting depends on.

Bingo Blitz needed a partner that could bring lapsed iOS players back profitably without those signals, and hold a strict Day 7 (D7) ROI target while spend scaled.

‍

The Approach

Bingo Blitz launched retargeting on Android, where RZR hit the KPIs and earned the trust. Based on the strength of that performance, Playtika expanded the partnership to iOS retargeting. Within a year, that iOS program scaled spend 20X without trading efficiency for scale.

Play 1: Android Retargeting Foundation

Target: Re-engage lapsed Bingo Blitz players into deposits, against the client's D7 ROI and cost-per-depositor KPIs

Execution highlights:

• Segmented lapsed players by predicted LTV and behavior to prioritize the highest-likelihood depositors.
• Ran multiple custom ranking models in parallel, retrained daily as new signals arrived.
• Optimized spend across several dimensions such as supply, placement, creative to hold cost per depositor down as volume grew.

Android retargeting delivered against the KPIs and built a proven track record. With the foundation proven, Playtika approved RZR’s expansion into iOS retargeting.

Play 2: Expand to iOS Retargeting

Target: Re-engage high-value iOS players profitably within Apple's privacy framework

Execution highlights:‍

• Seeded iOS models with Android's ranking learnings and Playtika's first-party player data, so targeting locked onto high-value lapsed players from launch.
• Deployed probabilistic iOS models purpose-built for a signal-light, post-ATT environment.
• Retrained models daily and re-segmented by LTV to keep targeting sharp.

RZR launched iOS retargeting for Bingo Blitz and hit the client's KPIs within months, re-engaging lapsed players and driving deposits above the D7 ROI target and below the cost-per-depositor benchmark.

‍

‍

Play 3: Scale Up Without Breaking Targets

Target: Grow iOS retargeting spend aggressively while holding KPIs steady

Execution highlights:

• Validated each spend increase against both KPIs before stepping up.
• Predicted each player's lifetime value with machine learning, drawing on purchase history and time since last activity.
• Bid on the highest-value lapsed segments dynamically, tuning both bid price and bid frequency to predicted value.
• Weighted optimization toward deposit revenue so cost per depositor held as spend climbed.
• Retrained models on fresh signal at each step, keeping targeting sharp through the ramp.

The Results: Over the course of the campaign, iOS retargeting spend scaled 20X, D7 ROI stayed above target, and cost per re-engaged depositor stayed below the benchmark. Monthly re-engaged users grew ~5.5X over the same window.