Skyline SaaS — Scaling Ad Spend 3x While Cutting Acquisition Cost

The Client

Skyline SaaS builds a workflow and project-management platform for mid-market companies, selling primarily through self-serve free-trial signups. Meta Ads — Facebook and Instagram — had become the company's primary demand-generation channel, but the account had grown organically over more than a year without a coherent structure, and leadership could no longer tell which spend was actually driving paying customers versus just trial signups that never converted. The marketing team was a lean two-person unit managing the account alongside several other channels, with no dedicated resource to run the kind of ongoing creative testing that paid social genuinely requires to stay efficient.

The Challenge

The account audit surfaced a familiar but costly pattern: a handful of ad sets had been running the same three or four creative variants for months, and performance had quietly decayed as audiences saw the same ads dozens of times — classic creative fatigue that was pushing cost per acquisition steadily upward. Audiences were broad and largely undifferentiated, built mostly from generic interest targeting rather than data about who actually became a paying customer. Retargeting existed only as a single, generic remarketing campaign showing the same message to a site visitor, a demo-request lead, and an abandoned trial user alike. On top of that, iOS tracking changes had made attribution murky enough that the team genuinely didn't know whether top-of-funnel awareness spend was contributing to bottom-of-funnel conversions or simply being wasted. Budget kept getting pulled toward whichever campaign showed the lowest cost per trial in the platform's own reporting, which — without clean attribution — often meant starving the awareness campaigns that were quietly feeding the funnel those cheap trials depended on in the first place.

Our Strategy

We rebuilt the account as a true full-funnel system, working through Meta Ads services across four workstreams:

• Funnel-stage restructure: distinct campaign objectives for cold awareness, mid-funnel consideration (webinar and demo signups), and bottom-funnel conversion (trial starts), each with its own budget logic instead of one blended campaign trying to do everything.
• Creative testing framework: a rotating content calendar systematically testing hooks, formats — video, carousel, static — and messaging angles on a fixed cadence, so fatigue could be caught and refreshed before it started dragging down cost per acquisition.
• High-LTV lookalike audiences: new lookalike seeds were built from the company's highest lifetime-value existing customers rather than from all trial signups indiscriminately, which meaningfully improved the quality of prospecting traffic.
• Funnel-stage retargeting sequences: site visitors, demo-video watchers, and trial users who hadn't converted each received distinct messaging and offers tailored to where they actually were in the decision process.

A Conversion API implementation was layered in early to restore attribution accuracy despite iOS tracking limitations, giving the team a much clearer read on which campaigns were genuinely driving paid conversions. We also set up a simple weekly creative scorecard — frequency, hook rate, and hold rate tracked per ad — so fatigue could be spotted and addressed within days instead of being discovered a month later in a quarterly report, after cost per acquisition had already climbed.

Execution Timeline

The Results

Within five months, Skyline SaaS's cost per acquisition dropped 38%, and the team was able to scale monthly ad spend 3x while holding — and in several months improving — that lower acquisition cost, rather than seeing efficiency erode as budget grew, which is the more common outcome when scaling paid social. Trial-to-paid conversion also improved as a byproduct of better-qualified prospecting traffic from the high-LTV lookalikes, giving the sales and customer success teams a stronger base of trial users to work with. The weekly creative scorecard meant no single ad set was left running past the point of fatigue for more than a few days, and the retargeting sequence built specifically for trial users who hadn't converted became, on its own, one of the account's most cost-efficient segments by the end of the engagement.

Key Takeaways

• Structured creative testing prevents the fatigue that silently inflates cost per acquisition over time without anyone noticing until it's significant.
• Lookalike audiences built from high-lifetime-value customers consistently outperform lookalikes built from all conversions indiscriminately.
• Funnel-stage-specific retargeting converts far better than a single generic remarketing campaign shown to every visitor alike.
• A simple weekly creative scorecard catches fatigue within days, long before it would otherwise show up as rising acquisition cost in a monthly report.