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See what Account Editor saves you

Analytics shows what the app has done for you — support tickets avoided, time saved, deliveries rescued, and revenue added by offers. Pick a date range, compare it against an earlier one, and export the numbers. Every figure has a Methodology note explaining how it is worked out.

What this does

Order editing saves money quietly. Nobody records the email that never arrived.

This page counts them for you, so you have something to weigh against the subscription.

Where to find it

Analytics, in the app's main navigation.

What it shows

Metric tiles — Tickets avoided, time saved, cancellations, deliveries, upsell revenue
Feature usage — Which features customers actually use
Order activity — Items added, address changes, invoices printed, emails sent
Customer insights — How fast customers edit, top location, self-service rate, busiest day
Upsell performance — Conversion rate, average order uplift, best products
Cancellation insights — Reasons customers give, and what happened next
Smart insights — Automatically written observations, once there is enough data

Use the date range picker to set a period, and the comparison picker to put it against the previous week, the previous month, or last year.

Export CSV takes the numbers out. Configure chooses which tiles you see.

The numbers worth watching

Self-service rate — how many changes customers made on their own instead of emailing you. This is the headline number. A low one means customers are not finding the feature.

Tickets avoided — each one is an email you did not answer.

Deliveries saved — address fixes caught before dispatch. The most valuable number on the page. A failed delivery costs you the parcel out, the parcel back, and usually a refund.

Upsell revenue — money added after checkout.

Read the methodology

Every figure comes with a Methodology note explaining how it was calculated.

Read it before you quote a number. These are estimates built on assumptions. What a support ticket costs you. What a failed delivery costs. Useful for direction, not for your accounts.

Good to know

Smart insights need about a month of data. Before that there is too little to go on.

A low self-service rate is a discovery problem. Customers cannot use what they cannot find. The usual fix is putting the edit deadline in your order confirmation email — see Show the edit deadline in your order confirmation email.

Most of these are modelled, not cash. Tickets avoided and time saved come from assumptions. Upsell revenue is real money.

Your dashboard shows lifetime totals. Analytics shows a date range. The two will not match, and that is expected.

Troubleshooting

Everything reads zero — Why: No customer has used the app — Fix: Check the setup guide says Account Editor is live
Smart insights say there is not enough data — Why: Fewer than about 30 days of history — Fix: Wait
Numbers do not match the dashboard — Why: Dashboard is lifetime, analytics is a date range — Fix: Expected
A tile is missing — Why: It was turned off — Fix: Use Configure
Self-service rate is low — Why: Customers are not finding the feature — Fix: Put the edit deadline in your confirmation email
Upsell revenue is zero — Why: No offers running, or the block is missing — Fix: Check the offer's placement and its block

FAQ

How is "tickets avoided" worked out?

It counts changes customers made themselves, treating each as a support request that never happened. The Methodology note gives the exact basis.

Are these real savings?

Tickets avoided and time saved are estimates, based on what those things cost you. Upsell revenue is actual money.

Why is my self-service rate low?

Usually because customers do not know they can edit. Putting the deadline in your confirmation email is the biggest single fix.

Can I export this?

Yes, Export CSV on the page.

What is the difference between this and Insights?

Analytics is a dashboard you read. Insights is a chat you ask. See Ask Account Editor AI about your store.

Updated on: 21/08/2026

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