Privacy-safe Mobile User Acquisition At Scale
Acquire high-value users with AI-powered bidding, creative optimization, and impression-level LTV prediction.
세계에서 가장 야심찬 브랜드 확장
A mobile growth platform built to capture and convert users based on what they’re going to do next
Some DSPs bid for volume. RZR bids on predicted user lifetime value (LTV).
Target LTV
Reduce CPA
Increase ROAS
Scale Profitably
Target LTV
Reduce CPA
Increase ROAS
Scale Profitably
Target LTV
Reduce CPA
Increase ROAS
Scale Profitably

What is Encore?

Encore is RZR's proprietary AI-supervised machine learning platform. It powers bid decisions across mobile UA, retargeting, CTV, and creator campaigns — predicting user value at the impression level, learning continuously from campaign data, and keeping human analysts in the loop throughout.

What is AI-Supervised Machine Learning?

AI-supervised ML combines the pattern-recognition power of machine learning with human oversight at critical points in the optimization process. Models learn from data. Analysts monitor calibration, reallocate budgets based on exploration learnings, and direct traffic toward the highest-value cohorts. The result is a system that compounds performance over time and stays aligned to real business goals, not just modeled proxies.
Target LTV
Reduce CPA
Increase ROAS
Scale Profitably
Target LTV
Reduce CPA
Increase ROAS
Scale Profitably
Target LTV
Reduce CPA
Increase ROAS
Scale Profitably
How does a mobile DSP work?
When a user opens an app, an auction runs in milliseconds. RZR's neural architecture evaluates that user’s signals, predicts their LTV, and places the precise bid to win their impression .
unique users reached
devices served 
auctions per day
mobile ad requests per second

Why use a DSP instead of Meta or Google?

More inventory. Broader reach. Less competition for it.
More inventory. More scale.
Reach users across the open in-app ecosystem at more efficient CPMs.
Optimize for outcomes, not installs
Platform algorithms optimize for their metrics. RZR optimizes for yours. Bid on predicted LTV to drive real revenue and long-term ROAS.
Your users don’t live in the walled gardens
Most of their mobile time is spent in apps beyond Meta and Google.

How It Works

This is some text inside of a div block.
1
2
3
4
5

How it works

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

Connect your data

2

Launch campaigns across global supply

3

Predict high-value users

4

Optimize in real time

5

Learn and scale faster

User Acquisition FAQs

Many bidding systems optimize for a single defined event. Encore uses multi-stage deep neural network models that predict outcomes across the entire user journey — install, purchase, and long-term revenue — and combines those predictions into a single bid score. Human analysts supervise model calibration and budget allocation throughout the campaign lifecycle.

lorem ipsum

lorem ipsum

lorem ipsum

lorem ipsum

lorem ipsum

See RZR in Action

영향력을 행사할 준비가 되셨나요?

통합 성장 시스템이 첫인상부터 장기적 가치에 이르기까지 전체 퍼널의 성과를 어떻게 강화하는지 알아보세요.

문의하기
Follow us on:
Where Intelligence
Makes Impact
© 2026 RZR GLOBAL INC
Sign up for Newsletter

Stay Sharp