Methodology
How we compute your lift.
One input, one multiplication, one price. Here's where the data comes from, what we do with it, and where the model has limits.
01 · Data sources
Where the numbers come from.
We aggregate public commerce signals across 1M+ stores: estimated annual sales, payment technology stack, country, and business size. Only the revenue estimate drives the headline figure — everything else is context.
Starter<$1Mn = 914,683
Growth$1M–$10Mn = 90,893
Scale$10M–$50Mn = 5,142
Enterprise$50M+n = 633
See aggregate Shopify checkout abandonment benchmarks: median store size and completion rates drawn from this dataset.
02 · The lift
One number, and you can check it.
A typical Shopify checkout completes roughly 30% of the checkouts it starts. Our guarantee is a +10% relative lift on that rate. At unchanged traffic and average order value, a 10% lift in completion is a 10% lift in revenue — so the report is your revenue times 0.10, and nothing more elaborate than that.
monthly_revenue = annual_sales / 12 monthly_lift = monthly_revenue × 0.10 # the guaranteed +10% completion lift
Worked example · $6M/yr store
$6M / 12 = $500K/month. A 10% completion lift is +$50K/month. On the Starter plan you'd pay $299 plus 15% of that — about $7.8K — and keep roughly $42.2K/month.
03 · Where it comes from
Three places buyers stall.
The report splits the lift across the three moments Janine intervenes. The split is directional — derived from Baymard's abandonment research and your payment tech stack, weighted so the parts sum to the total. Only the relative weighting is used; no stage carries an independent dollar claim about your store.
carts saved — buyers who stall before reaching checkout questions answered — buyers who hit a question mid-flow and leave declines retried — valid cards declined on the first attempt share of lift is weighted by segment and payment stack (BNPL present, multi-PSP present, store tier), then normalised to 100%
04 · What it costs
You pay a share of what we close.
A flat plan fee plus commission on the checkouts Janine actually completes. If she closes nothing, the plan fee is all you pay.
Starter$299/mo+ 15% of what Janine closesFor stores under $10M in annual sales. Email channel, checkout agent, product and policy training.
Growth$899/mo+ 10% of what Janine closesFor stores at $10M and above. Adds WhatsApp and SMS, shared express checkout, drop-off analysis.
What you keep = monthly_lift − (monthly_lift × commission) − plan_fee. See the pricing methodology for what counts as a closed checkout.
05 · Limitations
Where the model has limits.
- The revenue figure is a third-party estimate, not your reported revenue. It is the only input, so if it is wrong every number in the report shifts proportionally. Check it against your own dashboard before anything else.
- The 30% completion baseline and the 10% lift are an industry benchmark and a contractual commitment respectively — neither is a measurement of your store. Your actual completion rate may be well above or below 30%.
- A 10% completion lift equals a 10% revenue lift only if traffic and average order value hold. Seasonality, paid-traffic changes and price changes all move the result independently.
- The split across cart, checkout and payment retries is directional. Treat the total as the claim and the breakdown as context.
- Segment medians are aggregates, not store-specific. Stores not in our dataset fall back to growth-segment medians and are labelled clearly in the report.
Updated 2026-09-22
06 · More methodology
The rest of the stack.
The numbers above explain the calculator. The pages below explain how Janine actually decides whether to engage a shopper, and how the commission model maps to closed checkouts.
From first visit to repeat purchase
+10% completion lift guaranteed or your money back