Mobile Retargeting Built for Revenue, not Re-installs
Re-engage valuable users and prove revenue with incrementality.
Scaling the World’s Most Ambitious Brands
A mobile re-engagement platform built to protect and grow LTV
Target users before they churn and engage them before the window closes.
Sync data
Target valuable users
Re-engage
Prove impact
Sync data
Target valuable users
Re-engage
Prove impact
Sync data
Target valuable users
Re-engage
Prove impact

What is Mobile Retargeting?

Mobile retargeting re-engages lapsed users across every stage of the funnel — from boosting registrations to driving purchases.

What is a Mobile Retargeting DSP?

A mobile retargeting DSP (demand-side platform) matches your lapsed users to real time impressions, bids on the ones worth winning, and optimizes continuously against your goals.
Sync data
Target valuable users
Re-engage
Prove impact
Sync data
Target valuable users
Re-engage
Prove impact
Sync data
Target valuable users
Re-engage
Prove impact
How does Mobile Retargeting work?
RZR's neural architecture matches lapsed users against global inventory and bids on the ones most likely to re-convert. On iOS, probabilistic models use contextual signals to reach users that have opted out.
Lapsed high-value users
Users who installed but never converted
Dormant spenders
Loyal users approaching drop-off

Why start retargeting from Day 1?

Your highest-value users have already installed your app.
Cut UA costs by reactivating dormant users
Retargeted users generate 2x more in-app events than new installs.
75% of users churn by Day 3
Retargeting from Day 1 recovers high-value users when they're still reachable.
Your best users are cheaper to keep than replace
Lapsed high-LTV users convert at retargeting prices, which are often lower than UA prices.

How It Works

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How it works

A continuous loop of learning, optimizing, and scaling impact.
1

Sync data

2

Segment audience

3

Re-engage

4

Refine

5

Prove impact

Mobile Retargeting FAQs

RZR runs iOS retargeting using probabilistic modeling and hashed audience matching — no IDFA or fingerprinting required. Contextual signals predict re-engagement likelihood and LTV at the impression level, and hashed signal ingestion means match rates are stronger than probabilistic modeling alone.

Lapsed users are your highest-intent re-engagement audience. They already know your product. Running retargeting alongside UA means you're not just finding new users — you're protecting the investment you already made in acquiring them.

Cannibalization happens when UA and retargeting run independently and compete for the same users in the same auctions. A connected system coordinates both — excluding active acquisition targets from retargeting pools and preventing either campaign from inflating the other's CPMs.

RZR measures incremental lift through PSA testing, ghost bidding, and geo holdout, isolating retargeting's impact on revenue, conversion rate, and LTV against a clean control group. RZR owns measurement end-to-end, with no external tooling dependency and no gap between what the model sees and what gets reported. The result is a clean, auditable read on what RZR media is actually driving versus organic re-engagement.

New user acquisition competes in broad, high-volume auctions. Retargeting works with a known audience — your own lapsed users — in a targeted, less contested inventory environment. The result is lower CPMs and higher conversion rates from people who already know your product.

RZR's audience intelligence identifies users showing signs of disengagement — before they churn — and factors that risk into bid value and targeting priority. Re-engaging a user who is drifting is cheaper than recovering one who has already left. The result is retargeting spend that works earlier in the drop-off curve, where conversion rates are higher and CPMs are lower.

See RZR in Action

Case Study

"RZR has become one of our most trusted performance partners for Angry Birds 2. From iOS user acquisition to Android retargeting, they've consistently exceeded our targets and expanded the scope of what we're doing together. The 10x growth in spend over the past year reflects the confidence we have in their ability to deliver."

- MARTIN BOCCARDI, SENIOR PERFORMANCE MARKETING MANAGER @ ROVIO

Case Study

"The RZR team demonstrated exceptional professionalism in both strategy and execution. From algorithmic optimization and data analysis to creative support, every step was highly efficient. Their ability to quickly complete model learning and continuously improve performance was especially critical for us"

HUOJIAN, PERFORMANCE MARKETING LEAD@TALKIE

Ready for Impact?

See how a unified growth system compounds performance across your entire funnel — from first impression to long-term value.

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