Case Study
Actionfit

How RZR Became Actionfit's #1 iOS Performance Partner

iOS
Global
Gaming (Casual / Puzzle)
UA | Retargeting

6 months

Campaign Duration

iOS UA + iOS Probabilistic Retargeting

Products Active

21X growth

Spend Scale

#1 (by D60 ROAS)

Partner Rank, iOS UA

The Challenge of Entering an Established Race Late

Actionfit’s casual puzzle game Drop the Cat! launched in August and became one of the year's breakout titles, peaking at 50,000–60,000 installs a day worldwide with significant budget behind it. By the time RZR entered in December, two DSPs had been running iOS user acquisition since launch and held the incumbency. RZR entered the race with a clear directive: prove performance and the budget would follow.

The Goal:
Scale iOS user acquisition for Actionfit while holding strict Day 7 (D7) ROAS targets and earn the standing to expand the partnership.

FROM PROVING GROUND TO #1 iOS PARTNER

RZR started with iOS user acquisition. Strong, earned performance on that foundation opened the door to iOS retargeting, which Actionfit went on to award RZR exclusively. Within six months, both products were scaling together, with RZR holding the #1 iOS UA partner position by Day 60 (D60) ROAS.

‍

Play 1: iOS User Acquisition

Target: Acquire high-LTV iOS users for Actionfit at scale, with consistent performance against D7 ROAS targets.

Execution highlights:

  • Entered in December behind incumbent partners; scaled to #1 iOS UA partner by D60 ROAS
  • Deep neural network (DNN) valuation tuned to the signal available on iOS, sharpening impression-level bid quality as spend grew
  • CPI held stable as budget scaled 
  • Spend followed performance, scaling roughly 21X

Play 2: iOS Retargeting
Target: Re-engage lapsed iOS players through a dedicated probabilistic retargeting pathway.

Execution highlights:

  • Awarded to RZR exclusively, on the strength of proven UA performance
  • Probabilistic cohorts built from non-IDFA signal reach opted-out users 
  • Privacy-compliant: no IDFA dependency, no fingerprinting
What Drove the Win

Deep Neural Network Precision 

The DNN was the engine behind iOS UA scale. By valuing each impression on the signal actually available on iOS, the model built a more accurate picture of user value at the point of bid. Bid quality improved, CPI stayed within a tight band as spend grew, and D60 ROAS climbed to #1 on the account.

Continuous Optimization Rigor 

Scaling while holding ROAS targets requires constant refinement. RZR ran publisher- and exchange-level optimizations on a continuous cycle, adjusting bids as spend grew so each cycle raised the performance floor rather than trading scale for ROI.

iOS Probabilistic Retargeting 

RZR's iOS retargeting re-engaged Actionfit's lapsed players through a dedicated, privacy-safe probabilistic pathway, reaching ATT-opted-out users (the majority of the iOS base) from non-PII signals, with no IDFA dependency and no fingerprinting.

WHY THIS ISN'T JUST AN iOS SUCCESS STORY

RZR built a performance foundation that compounds with every new title launch:

‍

Earned trustentered last and finished #1 by D60 ROAS‍

Multi-product depth iOS UA performance unlocked an exclusive, privacy-safe iOS retargeting pathway

Precision that compoundsDNN valuation held CPI stable as spend scaled

Discipline under moving targets D7 ROAS stayed above goal through every KPI reset

Long-term partnershipone proven title becomes the case for the next launch

‍

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