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Revize is a Shopify app for post-checkout order editing.
See exactly how order editing impacts your business. Revize analytics show revenue generated, support time saved, and customer editing patterns to help you optimize and grow.

Track your order editing success

Revenue Impact

See total revenue generated from upsells, product additions, and shipping upgrades through order edits.

Support Savings

Track hours saved by reducing support tickets through self-service order editing.

Clear ROI

Understand your return on investment with automatic calculations including app costs and savings.

Customer Behavior

See which editing features customers use most and optimize accordingly.

Main analytics overview

Revize analytics main dashboard overview
Total number of orders customers have edited using Revize, showing overall feature adoption and customer engagement.
Additional revenue from upsells, upgrades, and product additions during the editing process.
Your complete return on investment from using Revize, calculated automatically.
How quickly customers complete their edits, indicating user experience quality.
ROI Formula: (Self-Service Edits × $10) + (Cancellations Avoided × $15) + Upsell Revenue - App Fee. The $10 and $15 are industry standards based on research showing average support ticket costs and cancellation prevention values.

Pick a date range and compare periods

Use the two buttons under the Analytics title to choose what you see. All times are shown in your store timezone.
  • Date range: Today, Yesterday, Last 7 days, Last 30 days, Last 90 days, Last 365 days, All Time, or a custom range. The page opens on all time.
  • Compare: No comparison, Previous period, Previous year, or a custom range. Once you pick one, the button shows Compare to: with the dates, and Orders edited, Total added revenue, and Average edit time show the percentage change against that period.
Compare Last 30 days with Previous period after you change a setting, such as a longer editing window or a new upsell offer, to see whether it moved the numbers.

Upsell performance

Two cards near the top of the page track your upsell offers for the selected date range: The Total upsells trend and Top 5 upsell products cards in Revize analytics

Total upsells

How many upsell offers customers accepted on the Thank-you and Order-status pages, the revenue they brought in, and a daily trend line.

Top 5 upsell products

The five products that earned the most upsell revenue, with how many times each was upsold. Click a product to open it in Shopify.
Both cards count only accepted upsell offers and only revenue that was actually paid. Products customers add themselves through Add products are not included here; they show up in Total added revenue and Edits by type.

Customer editing behavior insights

Pie chart showing customer editing behavior by type Understanding what customers edit:
  • Shipping address updates
  • Product quantity changes
  • Adding products to orders
  • Email and phone corrections
  • Order cancellations
The pie chart shows exactly which editing features customers use most, helping you understand customer needs and focus on improving the most popular features.
Analytics insight: If shipping address edits are high, customers are catching delivery mistakes early - saving you failed delivery costs. If product additions are popular, focus on optimizing your upsell flow for even better results.

Detailed activity breakdown

Detailed breakdown of all editing activities by type Track every type of edit:
  • Shipping address updates
  • Products added to orders
  • Quantity changes
  • Email and phone updates
  • Shipping method upgrades
  • Support requests created
  • Orders cancelled
  • Refunds processed
  • Tax invoices generated
  • Delivery dates updated
Click any number to see the specific Shopify orders. All orders are automatically tagged based on edit types (upsell, downgrade, and refunds to original payment method or store credit) for easy filtering and analysis.

Business impact measurements

Charts showing revenue per edit, support hours saved, and total savings impact Three charts that matter most: Revenue per edit
Average additional revenue generated per edited order. Shows customers aren’t just fixing mistakes - they’re adding value to their purchases.
Support hours saved
Time your support team saved because customers edited orders themselves.
Calculation: Support Tickets Avoided × 15 minutes
Total savings impact
Complete cost savings from reduced support work and prevented cancellations.
Formula: (Self-Service Edits × $10) + (Cancellations Avoided × $15)

Order status tracking

All Edited Orders

Complete list of every order edited through Revize with direct Shopify links for detailed analysis.

Revenue Generated Orders

Orders that created additional revenue through upsells, upgrades, or additions during editing.

Pending Payments

Orders on hold because edits require payment but customers haven’t completed payment yet.

Cancelled Orders

Orders cancelled through Revize with cancellation reasons available for trend analysis.

Cancellation insights

Pie chart showing customer cancellation reasons Learn from cancellation patterns:
  • “Ordered by mistake”
  • “Found a better price elsewhere”
  • “Shipping time too long”
  • “Shipping cost too high”
  • “Changed my mind”
  • “Need to change payment method”
  • “Other”, plus any custom reasons you set
The Why customers cancelled their orders card also shows Recent notes that customers left while cancelling. Click View all to open the full Cancellation reasons list, where you can filter by reason, search by customer, order number, or note, sort by date, and export to CSV. Use this data to identify trends and improve your customer experience, pricing strategies, and shipping options.
Actionable insight: If “found a better price elsewhere” is common, consider dynamic pricing strategies. If “shipping time too long” appears frequently, explore express shipping options or faster fulfillment partners.

Support tickets

The Support tickets card shows what customers asked about their orders when they used Contact support on their order page, grouped by topic (shipping address, product quantity, add products, discount code, cancel order, shipping upgrade, or other). Each ticket includes the customer’s email so you can reply. Click View all to open the full list. Filter by topic, show With a message only, search by message, customer, order number, or email, and sort by date.

Export to CSV

You can download the cancellation and support ticket lists as CSV files:
1

Pick the date range

Set the date range at the top of the Analytics page. The export uses the same range.
2

Open the full list

Click View all on the Why customers cancelled their orders card or the Support tickets card.
3

Filter and export

Apply any filters or search you need, then click Export CSV. The file includes every row that matches, not just the page you see.
Each export includes up to 10,000 rows. If there are more, Revize tells you, so narrow the date range and export the rest separately.
Have suggestions for analytics features? Email us at hello@revize.app. We build what merchants need most.

How to access analytics

1

Open Revize app

In your Shopify admin, go to Apps and click on Revize.
2

Click Analytics

Find Analytics in the sidebar to access your complete dashboard.
3

Explore the data

View overview metrics at the top, then scroll down for detailed breakdowns.
4

Click for details

Click any edit type to see specific orders and drill into the data.

Why analytics help your business

Prove ROI

Show stakeholders exactly how order editing pays for itself through revenue and cost savings.

Optimize Features

Focus on the editing features customers use most and improve underperforming ones.

Reduce Support Costs

Quantify support time savings to justify team resource allocation and planning.

Identify Trends

Spot patterns in customer behavior to improve products, policies, and experiences.

Frequently asked questions

Yes, click any edit type in the dashboard to see the specific Shopify orders. Orders are automatically tagged based on edit types for easy filtering.
These are orders where customers made edits that require additional payment, but haven’t completed the payment yet. Revize holds these orders until payment is processed.
Yes, for cancellations and support tickets. Click View all on either card, then Export CSV. The file follows your date range and filters. See Export to CSV. The charts and headline metrics are not exported.
Yes. Pick a date range, then choose Previous period, Previous year, or a custom range in the compare button. The headline metrics show the percentage change.
Revize analytics turn your order editing data into actionable business insights. Use these metrics to prove ROI, optimize customer experience, and make data-driven decisions.
  • Customer Portal — where all the editing activity tracked in analytics happens
  • Add Products — major contributor to your additional revenue metrics
  • Cancel Order — see cancellation reasons and trends in your analytics
Last modified on October 1, 2026