Cost per inquiry is running 2.8× better than the industry benchmark for kitchen and bath remodeling on Meta.
A snapshot of the metrics that matter most for a lead generation campaign. Each number is pulled live from Meta's reporting interface and benchmarked against the kitchen and bath remodeling category.
One creative angle is doing the heavy lifting. The "curiosity" concept around the $15,999 kitchen package has produced 21 of 22 inquiries so far at $27 per inquiry. That is a strong validation of the offer itself, and it tells us exactly which angle to build on next.
Each of these is a leading indicator that the strategy, audience, and creative are aligned.
Inquiries are coming in at $29 each, compared to a ~$83 median for kitchen and bath remodeling campaigns on Meta. This is a strong economic signal that the offer and audience are aligned.
Engagement rate of 3.7% is roughly 3.4× the home-services benchmark, which tells us the message is matching what homeowners in the region are actively looking for.
Each inquiry is a homeowner who saw the ad, read the offer, and chose to fill out a form. The volume so far gives us enough early signal to know the creative direction is working without making premature changes.
On average, each person in the target audience has seen the ads 2.1 times. This is the sweet spot for remodeling, where buying decisions involve multiple touchpoints before someone reaches out. Strong recall, no creative fatigue.
Coverage across Salisbury, Concord, and the Charlotte area is on plan. The audience pool is large enough to sustain ongoing optimization without burning through impressions.
Early performance is the start of the work, not the end. Here is how we build on it.
Two additional concepts in the same winning tone are in production. This protects the campaign against creative fatigue and gives Meta's algorithm more options to optimize against, which usually compounds performance.
We are connecting CRM data into the dashboard so the next report shows cost per qualified prospect, not just cost per inquiry. This gives a clearer read on real pipeline impact and lets us tune toward higher-intent homeowners.
Meta's delivery system is still learning which homeowners in the region respond best to the offer. We are intentionally holding settings steady through the first optimization window. Changes during this period typically reset the algorithm and push cost per inquiry up, even when they look like improvements on paper.
Once the optimization window completes and lead quality data is in, we will recommend a measured budget increase if the unit economics hold. The plan is to grow this deliberately, not aggressively, so the cost per inquiry stays favorable as volume rises.