Juice Cleanse Ecomm – Meta Ads


ROAS: 3.45x
Revenue: $326,715
Ad spend: $94,700
Period: 7 months

Background

E-commerce brand selling juice cleanse programs. Products were bundled offers:

  • 3-day, 5-day and 7-day cleanse packages
  • each day included a fixed set of juices
  • limited number of SKUs and packages

Because of the offer structure, catalog ads were not used. This was not a multi-SKU store but a bundle-based product.

Core Focus

This project was built around:

  • high creative volume
  • UGC-heavy approach
  • structured testing of creatives and audiences

The goal was to constantly test new angles, formats and audiences without breaking account stability.

Creatives

  • Large volume of:
    • static ads
    • animated creatives
    • video ads
  • Strong focus on UGC:
    • content created by real users and creators
    • creators received products and recorded their experience
  • UGC was used across:
    • Meta Ads
    • TikTok (and repurposed back into Meta)

New creatives were delivered weekly.

This case relied on constant creative iteration, not on a single winning ad.

Campaign Structure

Prospecting (main scaling campaigns):

  • Advantage+ Shopping Campaigns (ASC)
  • CBO-based campaigns
  • Typically 4 ad sets per campaign:
    • 1 broad audience
    • 1 semi-broad
    • 2–3 interest-based audiences

Interests included health, wellness, nutrition and lifestyle-related segments.

Creative & Audience Testing Process

A separate testing campaign was always running.

  • Around 15% of total budget allocated to testing
  • Used to test:
    • new creatives
    • new audience segments

Process:

  1. Proven audiences → test new creatives
  2. Proven creatives → test new audiences
  3. Winning combinations moved into scaling campaigns
  4. Underperforming tests removed quickly

This allowed continuous testing without destabilizing scaling campaigns.

Remarketing

Remarketing structure:

  • past customers (database + pixel)
  • View Content / Add to Cart (short windows)
  • Page View (longer windows)
  • Facebook & Instagram profile visitors
  • behavioral audiences such as:
    • Top 10% Time Spent on Page
    • high Page View Frequency in short timeframes

Remarketing was used to support scaling, not as the primary growth driver.

Results

  • Ad spend: $94,700
  • Revenue: $326,715
  • ROAS: 3.45x
  • Period: 7-month Meta Ads project

Takeaway

This case shows a structured Meta Ads system built around high creative volume and UGC, supported by a clear testing framework that separates experimentation from scaling.