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How RZR Became Actionfit's #1 iOS Performance Partner

iOS | Android
UA | Retargeting
Global
Gaming (Puzzle, IAA-heavy)

21X growth

Spend Scale

6 months

Campaign Duration

iOS UA + iOS Probabilistic Retargeting

Products Active

#1 (by D60 ROAS)

Partner Rank, iOS UA

~1.5X the D7 ROAS goal

iOS RT D7 ROAS

Awarded exclusively to RZR

iOS Probabilistic Retargeting

On iOS UA, RZR earned their way to the top of our stack, outperforming other partners as we scaled spend and tightened our D7 ROAS targets. That track record is why we launched iOS retargeting, which we awarded to them exclusively: a privacy-safe, probabilistic pathway to win our lapsed players back at scale.

- HYEGANG SEO, HEAD OF UA, ACTIONFIT

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 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 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:

Play 2: iOS Retargeting

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

Execution highlights:

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.

The Trust Loop That Unlocks Scale

Actionfit's investment in RZR grew through earned confidence:

  • iOS UA test approved → RZR launches and scales to #1 by D60 ROAS in six months
  • Performance proven → Actionfit awards iOS retargeting to RZR exclusively
  • Both products performing → new-title launches open additional UA slots
  • Repeat

Why This Isn't Just an iOS Success Story

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

  • Earned trust → entered last and finished #1 by D60 ROAS
  • Multi-product depth → iOS UA performance unlocked an exclusive, privacy-safe iOS retargeting pathway
  • Precision that compounds → DNN valuation held CPI stable as spend scaled
  • Discipline under moving targets → D7 ROAS stayed above goal through every KPI reset
  • Long-term partnership → one proven title becomes the case for the next launch
On iOS UA, RZR earned their way to the top of our stack, outperforming other partners as we scaled spend and tightened our D7 ROAS targets. That track record is why we launched iOS retargeting, which we awarded to them exclusively: a privacy-safe, probabilistic pathway to win our lapsed players back at scale.
- HYEGANG SEO, HEAD OF UA, ACTIONFIT

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