How quickly
does it load?
Separate mobile lab snapshots with SpeedLayer off and on. These are scores, not shopper outcomes.
See one website side by side
JENKINS / PERFORMANCE REVIEW
Find your store
Across 23 measured stores, the SpeedLayer-active group recorded 3.05 action events per 100 measured users, versus 0.84 in the not-active group. These are calls, texts, chats and form events, not unique leads.
Observed audience comparison on qualifying Mondays, not a randomized test or proof SpeedLayer caused the difference.
We show mobile speed tests and shopper-action counts separately. A faster lab result and a higher observed action rate are not the same measurement.
Separate mobile lab snapshots with SpeedLayer off and on. These are scores, not shopper outcomes.
See one website side by sideWe count calls, texts, chats and form events per 100 measured users in two observed groups. One person can take multiple actions. The difference is not proof of extra sales.
How we measuredNot a video or a comparison of two different dealerships. The source links let you inspect both mobile tests.
Find your store for a plain-language comparison and a clear next check. The five stores missing usable measurements are listed separately below.
Start with what your store actually spent on digital advertising and how many cars it sold that month. Want to explore a possible upside? Enter your own hypothetical additional car sales and average gross profit. We do not claim SpeedLayer caused those sales.
Choose a store above to see its observed shopper-action context. Those events do not prove extra car sales and are not used in this calculator.
For a what-if value, also enter hypothetical extra cars and gross profit per car.
This is not ad-attributed cost per sale or measured return on investment.
Same-month ad spend ÷ all cars sold. This is not a customer-acquisition cost: some sales may not come from those ads. Optional extra cars × gross profit per car is a dealer-entered what-if; subtracting a fee excludes all other costs. No inputs leave this browser.
These five properties do not have a usable shopper-action comparison. We do not rank them as poor performers. Here is the measurement step for each.
A decision to stay deserves evidence you can inspect, not a magic percentage. The source workbook is retained privately; individual mobile lab reports are linked from the store views.
ASC is the total event count for forms, texts, chats, and mobile click-to-calls. Each store's rate divides total action events by deduplicated GA4 users, not visits; the group sums those store-level user counts, so a person visiting two stores can appear twice. These are not unique leads, sales, revenue, or actual ROI. The audiences were observed, not randomly assigned.
Before retiring the experience across the group, review each property’s evidence, repair the missing signals, and agree on a clean next measurement window.
Start with your store