---
title: "naoo case study: installs up 264%, cost per install down 80% | VERZE.ai"
canonical: "https://verze.ai/case-studies/naoo/"
description: "The Swiss social app didn't shoot a single new asset. It gave the algorithm what it was starving for: structured variance. 60 existing assets turned into 600 labelled combinations."
---

# naoo case study · Technology & Apps

Installs up 264%. Cost per install down 80%.

The Swiss social app didn't shoot a single new asset. It gave the algorithm what it was starving for: structured variance. 60 existing assets turned into 600 labelled combinations.

## The situation

**A small growth team against a creative ceiling.** App-install formats cap how many visuals a campaign can carry. Producing more meant agency retainers the team didn't want, while the algorithm kept seeing the same few ads and paid-for reach got more expensive every month.

## What they did with VERZE

1. **The feed replaced the brief** — Existing assets and offers became entries, each labelled by feature, audience and language.
2. **Templates multiplied the assets** — 60 assets became 600 combinations in Studio. Image templates turned app screens into store-ready ad sets, rendered in every placement format.
3. **The algorithm found the segments** — Labelled variance let delivery learn which combination converts which user: no manual audience guessing, one weekly render batch.

## The results, as reported

- **+264%** app installs
- **−80%** cost per install · EUR 19.21 → 3.75
- **+79%** click-through rate · 0.58% → 1.04%
- **−53%** cost per click · EUR 2.26 → 1.06
- **+51%** clicks
- **−29%** ad spend

*Source: Meta Ads Manager · March 2025 vs April 2026*

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