The job
Every catalogue has a few pages that convert and many that do not, and ad spend rarely knows the difference. Run the pages you plan to advertise, sorted by shopper intent, and find out which ones deserve the budget.
One simulation reads every combination at once.
Pages, multiplied by audiences. Every pair gets its own read.
How the team runs it
Three steps, the same for every run: a page, the audiences that read it, and the result.
- Page
Paste product and collection pages
Run a set of pages together, each read on its own.
- Audiences
Shoppers, sorted by intent
Replenishers, gift buyers, browsers: audiences that behave differently on the same page.
- Result
Scale ads on the winners
Pages ranked by predicted click-through for each kind of shopper.
Twelve product pages, two kinds of shopper
The pages planned for a seasonal push, read by shoppers who reorder and shoppers who buy for someone else.
What the team took from it
- Four pages read above 3.5% with replenishers: P1, P3, P6 and P9. Scale those first.3.6–4.1%
- Gift buyers stall on pages with no delivery date above the fold.1.2–2.2%
- P4 and P10 read below 1.5% for both shoppers. Fix them before they get budget.1.2–1.4%
An example from a sample workspace. Every figure is a simulated range, not a measured result.
What you bring
- The product and collection pages you plan to advertise
- The shopper types you sell to, or let us find them
- Your retail and social networks
What you get back
- A ranked list of pages per shopper type
- The pages to fix before they get budget
- The objection each shopper type raises, page by page
Where most e-commerce brands start
Ten simulations a month covers a seasonal catalogue push with cycles to spare.
Growth
$129per month
Prices in USD
10 simulations a month$11.99 each
Other seats at the same simulation
