Case Study
Mars Game

How RZR Drove 4X D7 ROAS for Mars Games with Retargeting

Android
Global
Gaming (Idle RPG / Simulation)
Retargeting

½ of target CPA

Campaign Duration

1 year

Partner Position

2x–4x above target

CPA Efficiency

Primary retargeting partner

THE CHALLENGE OF UNLOCKING DORMANT VALUE FOR A MATURE MOBILE GAME

Isekai: Slow Life launched in July 2023 as an Idle RPG with simulation and town-building mechanics, and has since built a sizable base of paying users. As the game matured, a growing portion of those high-value players gradually went inactive, creating a significant pool of dormant paying users whose lifetime value remained largely untapped. With this in mind, Mars Games partnered with RZR in June 2025 to launch a retargeting campaign with a clear mandate.

The Goal:
Re-engage lapsed paying users (inactive 5+ days) at an efficient CPI, while holding consistent D7 ROI above target.

A THREE-PILLAR RETARGETING ENGINE

Mars Games started with a test in the US market reactivating two precisely defined dormant-payer segments. Within a year, that single test became a global retargeting engine spanning 5 Tier 1 (T1) markets and a 180-day dormant window. ‍

Play 1: Precision Audience Segmentation
Target: Re-engage high-value dormant payers while maintaining acquisition cost from the outset.

Execution highlights:

  • Controlled test across two precisely defined dormant segments running in parallel: 5+ days inactive with a purchase in the past 30 days, and 5+ days inactive with a purchase in the past 60 days
  • Real-time performance data used to dynamically shift budget toward the highest-converting cohort
  • Wasted impressions eliminated from the outset

CPI came in well below target from day one, with Day 7 (D7) ROI meeting the KPI at launch, validating that RZR's retargeting model was the right fit for dormant-payer re-engagement.

Play 2: Continuous Model Iteration
Target: Hold performance steady across the game calendar.

Execution highlights:

  • Full-funnel conversion signals for dynamic value-based bidding, segmented by historical spend level, lapse duration, and payment tier
  • Dynamic real-time audience segmentation
  • Monthly in-game collaboration events mapped in advance, with bid weights for high-value audiences pre-adjusted ahead of known demand spikes

D7 ROI peaked at 95-100% during monthly collaboration events. Even in off-event periods with no promotional tailwind, performance held steadily above the KPI floor — demonstrating model robustness independent of the product calendar.

Play 3: Audience & Market Expansion
Target: Scale audience depth and geographic reach without sacrificing efficiency.

Execution highlights:

  • Dormant window extended to 120- and 180-day lapsed payers, tripling the addressable pool of high-value users
  • Five T1 markets selected on US performance data — France, Germany, the UK, Australia, and Canada — each entered via a small-scale test before budget scaled on proven results
  • Budget scaled to a peak level in line with the expanded footprint, then stabilized at a long-term daily run rate aligned with the client's overall retargeting budget

RZR's sustained performance cemented its position as Mars Games' primary retargeting partner.

What Drove the Win

LTV-Driven Segmentation

RZR's proprietary machine learning models predicted the latent lifetime value of dormant users, integrating cross-channel behavioral signals to tier bids by user quality. 

Dynamic Real-Time Audiences

Audiences were continuously refreshed to eliminate stale targeting, removing churned users, and adding newly lapsed payers on a rolling basis. This solved audience decay at the infrastructure level, enabling stable delivery month over month and across product update cycles.

Game-Calendar Alignment

By mapping client-side event schedules in advance, RZR concentrated resources during the windows of highest player purchase intent, generating measurable revenue uplift at peak. Model-driven strategies held the baseline during quieter periods so results were not dependent on event timing alone.

Data-First Expansion

Every scale-up followed the same playbook: validate in a single market, extend the audience window, then replicate proven strategies into new geos. No blind spend — every incremental dollar was backed by performance evidence.

WHY THIS ISN'T JUST A GLOBAL RETARGETING STORY

RZR built a performance foundation that compounded with every campaign phase:

LTV-driven segmentation bidding built around dormant-payer value, not demographic tags

Dynamic real-time audiences audience decay solved at the infrastructure level for stable month-over-month delivery

Game-calendar alignment resources concentrated at peak purchase intent, baseline held in between

Data-first expansion every scale-up validated in one market before replicating into new geos

Long-term partnership one proven phase became the case for the next

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