Home services brands don’t struggle with demand.
They struggle with efficiency.
When intent is high, every wasted click hurts. In this category, performance marketing lives or dies on conversion rate, local relevance, and speed — not just traffic volume.
The Challenge
The brand operated in a competitive home services vertical with strong paid and affiliate traffic, but performance had plateaued. Costs were climbing, leads were inconsistent, and conversion rates varied heavily by location.
The core issue wasn’t acquisition.
It was what happened after the click.
Landing pages weren’t built for local intent, creative fatigued quickly, and optimization cycles were slow. Small improvements took weeks, and decisions were driven more by instinct than data.
The Loop Approach
Loop focused on removing friction across the funnel rather than pushing more traffic into a leaky system.
We started with LP Mock-Up Testing, testing multiple landing page structures before development to identify which layouts, messaging, and trust elements actually converted local service traffic.
At the same time, we refreshed ad creatives and UGC-style content to better reflect real service scenarios, local language, and urgency — critical factors in home services decision-making.
Mobile behavior was treated as the default, not an edge case. Pages and creatives were optimized for fast decision-making on small screens, where most service searches happen.
What Changed
Instead of guessing which pages or ads “felt right,” the brand had clear direction on what worked.
Landing pages launched with higher baseline conversion rates, creative fatigue slowed, and performance became more predictable across locations. Optimization shifted from reactive to intentional, allowing the team to scale traffic with confidence.
Why It Mattered
Home services margins are tight, and competition is relentless.
By fixing conversion mechanics and creative velocity, Loop helped turn performance marketing into a controllable growth lever — not a constant firefight. Every channel benefited because the foundation was finally built to convert high-intent traffic efficiently.
This is what performance looks like when execution meets reality.

