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Case study · Low-Ticket Offers · July 2025

Low-Ticket Funnel Case Study: $22K Revenue on $22K Ad Spend

“Selling an $97 Mid Ticket product? Here's how we scaled one to $70K/month in just 30 days.”

Headline result$21,789Revenue
Ad spend$21,789 
IndustryLow-Ticket Offers
SystemPaid ads, funnel and follow-up
  • Revenue: $21,789
  • Ad spend: $21,789

The full breakdown

Most course creators struggle with scaling because they rely on guesswork poor messaging, the wrong funnel structure, or creatives that don’t convert.

Here’s what we did instead for one of our fitness coach clients:

Last 30 Days Results

Ad Spend: $21,789

Revenue: $70,673

696 courses sold

ROAS: 3.24

Here’s how we made it happen:

Dialed in the messaging: We led with emotional pain points and clear transformations, not features.

Tested multiple creatives fast: We launched over 15 ad angles and quickly scaled what worked.

Built a high-converting funnel: A simple but powerful structure that turned cold traffic into buyers.

Segmented audiences properly: From top-of-funnel awareness to bottom-of-funnel urgency, we matched creatives to the customer journey.

Retargeting done right: We recovered drop-offs and boosted conversions with smart retargeting flows.

No hacks. No fluff. Just fundamentals done right consistently.

If you're selling a course and want to stop guessing what works...

This is proof that the right system changes everything.

Result summary

This low-ticket offers campaign produced $22K revenue on $22K ad spend. Reported figures: revenue $21,789, ad spend $21,789. It ran on paid ads, funnel and follow-up, and the original breakdown was published in July 2025.

How this low-ticket system is built

  1. Front-end offer

    A low-priced product that solves one specific problem and leads naturally to the backend.

  2. Order bump and upsell

    A one-click bump and post-purchase upsell lift average order value above cost per buyer.

  3. Buyer follow-up

    Email and SMS sequences ascend buyers to the core offer or a sales call.

  4. Value-based tracking

    Purchase value is sent back to Meta so the algorithm optimizes for buyers, not opt-ins.

Guides behind this result

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