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How We Cut CAC by 60% and Rebuilt a Scalable Growth Engine Using Adaptive Advertising

Client Overview
A mid-stage SaaS company came to us with a familiar pain: rising customer acquisition costs, scattered campaigns across Google, Meta, and YouTube, and no consistent ROAS. Despite pouring budget into paid media, they weren’t seeing scalable returns — and leadership was on the verge of cutting spend altogether.
the challenge
Their internal team was stuck in reactive mode. Campaigns were being launched without clear benchmarks. Budgets were siloed and misallocated. Messaging was mismatched with the funnel stage. Worst of all? They had no idea which metrics actually tied to revenue.

Our Solution:

We deployed Adaptive Advertising, guided by our proprietary ESRA Framework, to re-architect their entire paid media strategy.

Here’s what we did, step by step:

  1. Clarified the Real Goal – We used the ESRA process to determine the company’s actual revenue targets and reverse engineered what it would take to hit them across paid channels.

  2. Platform Prioritization – Instead of spreading spend thin, we identified the lowest hanging fruit platforms: Google (search intent), Meta (top-of-funnel demand), and YouTube (mid-funnel storytelling).

  3. Flexible Budgeting – We broke down siloed budgets and made them fluid across platforms, reallocating spend weekly based on performance indicators that actually moved revenue — not vanity metrics.

  4. Messaging Optimization – Using principles of buying psychology, we adjusted the ad language to fit each stage of the funnel and the mental state of the buyer. No more one-size-fits-all copy.

  5. Data-Driven Optimization – We aligned tracking with true revenue events and optimized for metrics that actually drove growth, not just clicks or MQLs.

  6. Internal Team Integration – We didn’t just “run ads.” We worked closely with their in-house marketing and ops team to co-create the new system, ensuring it was something they could eventually own and scale.

The Results:

  • CAC dropped by up to 60% across all platforms
  • Leadership trust was restored in paid media as a scalable growth lever
  • A revenue-focused media system was installed — one that works predictably across Google, Meta, and YouTube

Why It Mattered:

For this SaaS company, it wasn’t just about lowering CAC. It was about finally having a scalable paid media strategy that gave the team confidence, clarity, and control over their growth engine. Today, they’re able to make fast, data-led decisions and reinvest into what works — without guesswork.

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Want to reduce your CAC and unlock scalable revenue growth?

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