# Yotta x Phiture: How Catchbase Transformed Apple Ads Efficiency & Scale

- Link: https://phiture.com/success-stories/phiture-com-case-studies-yotta-catchbase-apple-ads-optimization/
- Published: 2025-11-25T12:30:09+01:00
- Author: Anita Milosavljevic

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# Case study Yotta x Phiture: How Catchbase Transformed Apple Ads Efficiency & Scale

![Yotta x Phiture case study](https://phiture.com/wp-content/uploads/2025/11/Yotta.
jpg)

+288.90%

---

Monthly increase in first purchases

-63.50%

---

Reduction in CPA

+191.6%

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Growth in registrations

-51%

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Drop in CPR

---

### Challenge:

 Yotta Lottery, a gamified savings and lottery app, had been actively investing
in Apple Ads to accelerate growth. However, as campaigns scaled, one of the core
challenges was Competitor campaign performance: cost per acquisition (CPA) surged,
and efficiency dropped. 

High competition in the fintech and lottery categories inflated bids, while fragmented
campaign structures made it challenging to identify what truly drove performance.
The team needed a scalable, automated approach to optimize spend, improve efficiency,
and drive high-quality users down the funnel — without adding manual overhead.

![](https://phiture.com/wp-content/uploads/2025/11/1547157913401.jpeg)

**Trevor Ford**
 Head of Growth at Yotta

_“Partnering with Phiture and implementing Catchbase has unlocked a new level of
efficiency for our Apple Ads campaigns. We’re now scaling faster, at a lower cost,
and with full confidence that our budgets are being optimized in real time.”__

Table of Contents

 * [Solution: ](https://phiture.com/success-stories/phiture-com-case-studies-yotta-catchbase-apple-ads-optimization/#solution)
 * [Results](https://phiture.com/success-stories/phiture-com-case-studies-yotta-catchbase-apple-ads-optimization/#results)

## **Solution:** 

Phiture implemented Catchbase, an AI-powered Apple Ads optimization platform that
uses reinforcement learning to continuously adjust bids, reallocate budgets, and
prioritize high-performing keywords based on live data. With Catchbase, Yotta’s 
entire campaign structure was rebuilt from scratch following Phiture’s best-practice
segmentation:

 * Brand
 * Non-Brand
    - _Competitor_
    - _Generic_
    - _Probing & Discovery _

Once connected, Catchbase analyzed performance daily, automatically testing and 
optimizing bids across all campaign types. The system explored new keyword opportunities,
prioritized strong performers, and reduced spend on low-converting areas — finding
the ideal balance between cost and volume.

This fully automated setup enabled continuous optimization without manual keyword
adjustments, ensuring every dollar worked harder toward growth.

## Results

 * **+288.90%** monthly increase in first purchases, accelerating monetization and
   funnel activation
 * **+191.60****%** growth in registrations, improving upper-funnel conversion
 * **-63.50%** reduction in CPA – cost per purchase, unlocking profitable scalability
 * **−51% drop** in CPR, acquiring nearly twice as many users per dollar
 * **+41.92% **increase in spend indicates a strong scaling phase.

![campaign results yotta](https://phiture.com/wp-content/uploads/2025/11/First_Token_Purchase_Count.
png)

By integrating Catchbase automation and restructuring campaigns, Yotta achieved 
a step-change in both efficiency and growth for the Competitor campaign, which brought
excellent results listed above.

Catchbase transformed Yotta’s Apple Ads from a costly test into a fully optimized,
scalable acquisition engine — one that learns, adapts, and drives growth automatically.

 

[Read Next Challenge](https://phiture.com/success-stories/picsart-scaling-creative-production/)

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![yotta logo](https://phiture.com/wp-content/uploads/2025/11/yotta-150x150.webp)

**Client:** Yotta
 **Website:** [https://withyotta.com/](https://www.withyotta.com/)**
Services:** Performance Marketing, Data, Tech & AI