7 locations · ~750 units · April 2026
236 to 372 leads: the result that came in below our average
A 1.6× lift — real, but the weakest of the nine results behind the 2.5× we publish. It is on this page because a case-studies section that only shows the wins is not evidence, it is advertising.
unique leads per month
Why this one is here
This is the weakest of the nine results behind the 2.5× we publish, and the only one that came in below 2×. Leaving it out would make the rest of the page dishonest by omission.
236 to 372 unique leads in the first full month is a 1.6× lift. It is a good outcome. It is not the 2.5× we lead with — it is the lowest of the nine results behind that average — and a dealer evaluating us deserves to know the average has a bottom half.
What made this one different
Mixed inventory. Seven stores selling RVs alongside utility trailers — two shopper populations with almost nothing in common. An RV buyer researches for months; a utility trailer buyer often decides in an afternoon.
The tools that produce the largest lifts elsewhere — plain-English search, concierge conversations, long consideration journeys — do comparatively little for the trailer half of that catalogue. The lift concentrated on the RV side, and the blended figure came out lower as a result.
What we would tell a similar dealer
If a large share of your units are low-consideration purchases, model the lift on the high-consideration part of your catalogue and treat the rest as unchanged. That produces a more accurate expectation than applying a blended average to everything.
Unique leads in the first full month on the new site, measured against that dealer’s own pre-launch baseline. Figures are supplied by the dealer’s analytics and CRM, not modelled. The dealership is not named because we do not publish a client’s numbers under their name without written clearance.
Detail
Questions about this result
Why publish a below-average result?+
Because a results page with no bottom half is not credible, and because a dealer with a similar inventory mix should be able to find themselves in it. This is the only one of the nine results we publish that came in below 2×, against a 2.5× average — but leaving it out would make the other eight worth less, not more, to someone about to sign a contract.
Does Scout work for utility trailer inventory?+
Yes — it lists, prices, feeds to marketplaces and converts. The point above is narrower: the AI shopping layer contributes less on a purchase someone makes in an afternoon than on one they research for three months.
What is the lowest lift you have seen?+
This one. If we record a lower one, it will appear here too.