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BELKA GAMES- Clockmaker- Re-engagement case study

How We Outperformed the D7 ROAS KPI by 25% for Belka Games’ Clockmaker While Scaling 3.8x

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Clockmaker app logo prgrammatic retargeting case study

We partnered with Belka Games to retarget lapsed users of their flagship match-3 puzzle game, Clockmaker: Jewel Match 3 Game, on iOS and Android globally. With over 10 million downloads worldwide, Clockmaker features core match-3 gameplay enhanced by bingo, puzzles, and tournaments that drive long-term player engagement.

Results at a Glance

25%

ROAS D7 above the KPI in week 1

3.8x

Campaign scaling in 4 months

>100%

Campaign recoup from week 1 (ROAS D30 >100%)

>200%

Predicted lifetime ROAS

Campaign Goal

The primary goal was to reactivate churned users who had previously made in-app purchases, with the aim of increasing their LTV and generating incremental revenue.
In addition to the ROAS-based KPI, Belka Games assessed campaign success using their advanced LTV predictions, evaluating how cohorts matured over time to determine performance from the early stages.

Programmatic Retargeting Process

From the initial setup of the campaign with Belka Games, we leveraged our proprietary Live Audiences segmentation engine.

Another key advantage of the Live Audiences engine, directly integrated with Persona.ly’s DSP, is its ability to generate data-driven insights that identify and predict LTV from the early stages of the campaign. Our proprietary bidder processes over 4 million ad auctions per second, evaluating each bid in real time against key audience attributes and setting bids based on predicted LTV.

We quickly collected enough data for the bidder to accurately classify which audience segments had a higher probability of converting by returning to play Clockmaker and making new in-app purchases, and which segments had a lower likelihood of conversion. From the first week, we outperformed the D7 ROAS KPI and successfully re-engaged highly converting audiences.

The ability to classify audiences by predicted value at the bid stage and place optimal bids enabled us to safely scale the campaign 3.8x over 4 months. As cohorts matured and campaign profitability became apparent, we deepened our collaboration with Belka Games.

Campaign Results

ROAS Progression and Campaign Recoup

Leveraging our deep gaming expertise, we surpassed Belka’s D7 ROAS target by 25% in the very first week. By prioritizing high-value segments with the strongest likelihood of further in-app purchases, we achieved robust ROAS growth as cohorts matured.

Precise targeting paired with Clockmaker’s exceptional gameplay quality drove strong campaign progression, full recoup, and significant LTV uplift from re-engaged players.

Clockmaker retargeting roas progression iOS

Bid Optimization Strategy

As our programmatic ML-driven bidder accumulated more data, it was able to more confidently predict which audience segments had a higher probability of converting – re-installing or re-opening Clockmaker and making new in-app purchases. This enabled us to continue scaling the campaign effectively.

Campaign Scaling and ROAS D7

To ensure campaign incrementality and avoid cannibalizing organic traffic, we run exclusively full-screen video creatives across both Android and iOS campaigns. Getting the bid price right for video is especially critical, as it is the most lucrative format.

This approach allowed us to scale the campaign by almost 4 times while consistently outperforming the D7 ROAS KPI and maintaining campaign recoup.

About Belka Games

Belka Games is a data-driven casual mobile gaming studio founded in Cyprus in 2010, specializing in casual and adventure titles. With over 110 million monthly players worldwide, it ranks among the highest-grossing gaming studios in Europe.

About Persona.ly

Persona.ly is a data-driven product company specializing in mobile user acquisition and retargeting, powered by proprietary machine learning algorithms and a robust first-party data management platform.

We help leading mobile companies including King, Tencent, Papaya, NextNinja, Tilting Point, Nexon and many others reach and exceed their growth goals by accurately predicting which users are most likely to engage and convert. Our machine learning models are optimized to target high-value users based on predicted LTV, driving strong ROAS and long-term user quality.

Our in-house programmatic DSP is directly integrated with top-tier ad exchanges and OEMs, processing over 4 million ad requests per second globally.

By combining real-time predictive analytics with programmatic scale, we empower our partners to unlock smarter growth, higher LTV, and measurable incremental impact.

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