Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.aftersell.com/llms.txt

Use this file to discover all available pages before exploring further.

Post-Purchase Analytics

This page covers analytics for post-purchase funnels (including A/B tests and multivariate tests) and product page upsells in Aftersell.
For checkout widget analytics, see Checkout Analytics.
Analytics reflect data at the time of the transaction. If an order is later refunded, partially paid, or cancelled, the accepted offer count and associated revenue are not retroactively adjusted. An offer that was accepted will continue to count as an accepted offer in your analytics regardless of what happens to the order afterward. Keep this in mind when comparing analytics data to your actual payout or revenue reports.

General notes about graphs

The large summary numbers at the top of each graph are weighted averages of the data shown. This method gives a more accurate overall view than a simple average. For example, three days of conversion rates are shown: Day 1 has 3 accepted out of 10 shown (30%), Day 2 has 1 accepted out of 9 shown (11%), and Day 3 has 5 accepted out of 15 shown (33%). The summary number is calculated as (3 + 1 + 5) / (10 + 9 + 15) = 26.5%, not a simple average like (30 + 11 + 33) / 3 = 24.7%. Weighted averages ensure that days with more impressions have the right impact on your totals. Throughout the analytics dashboard, you can hover over the info icon next to any metric to see how that value is calculated. The formulas listed in the tables below match the tooltip calculations shown in the dashboard.

Funnels tab

The Funnels tab shows analytics for your post-purchase funnels. You can filter by a specific funnel using the “Select a funnel” dropdown or view “All funnels” combined. You can also use the “Select upsell types” checkboxes to filter analytics by specific offer positions (for example, Upsell #1, Upsell #2, Upsell #3, Downsell #1, Downsell #2, or Thank you page). Some metrics such as Revenue per visit and Product profit per visit show separate values for 1-Click Upsells and TY Page.
Product profit analytics is currently in Beta. Aftersell tracks the cost of upsell items at the time of purchase to provide insights into profitability. Data will start tracking one day after activating. Product profit data is not available for historical data prior to activation. Contact our support team to enable product profit analytics for your store.

Funnels tab metrics

MetricWhat it measuresFormula
RevenueThe amount of money, in the shop currency, that the customer paid for the upsold product. This is the gross amount before any costs to the store, but after any discount the customer received. Revenue from other products in the order is not included.sum(upsold product revenue)
Revenue per visitThe average revenue per unique page visit. A unique visit is counted once per customer, even if they view the page multiple times on a single order. This is the recommended way to measure performance over time.1-Click Upsells: post-purchase revenue / unique post-purchase visits. TY Page: TY page revenue / unique TY page visits.
Product profitThe total product profit generated by Aftersell. Product profit is calculated by subtracting the cost of goods sold from the revenue.sum(revenue across selected offer types) - sum(cost of goods sold across selected offer types)
Product profit per visitThe average product profit per unique page visit. A unique visit is counted once per customer. This is similar to revenue per visit, but takes into account the cost of goods sold.1-Click Upsells: post-purchase profit / unique post-purchase visits. TY Page: TY page profit / unique TY page visits.
ImpressionsThe total number of times funnel offers were viewed. Impressions are counted when a given offer is loaded onto the page. Impressions are only counted once per order. If a customer sees the same offer multiple times during the same order, it still counts as one impression.sum(offer views across all selected funnel offer types)
Conversion rateThe percentage of offer views that resulted in an accepted offer.(accepted offers / offer impressions) x 100
Accepted offersThe total number of Aftersell offers that were accepted. An accepted offer is counted when a customer clicks “Accept” on an upsell offer and completes the purchase.sum(accepted offers across all selected funnel offer types)
Product profit marginThe ratio of product profit to revenue. If your products were to cost nothing, this would be 100%.(product profit / revenue) x 100
Average upsell valueThe average revenue per accepted upsell item. This is particularly useful when using dynamic products in offers.revenue / accepted offers
Revenue per visit is the recommended way to measure post-purchase funnel performance over time because it accounts for unique visits rather than raw impressions.

Top performing products table

This table highlights post-purchase upsells and the revenue generated from them.
ColumnHow it is calculated
ProductThe upsold product name
Conversion rate (%)(number of accepted upsells containing the product / number of impressions for that product) x 100
RevenueTotal revenue generated from accepted upsells of this product
The conversion rate percentage in this table is based on the number of accepted offers, not the number of individual product units sold. For example, if a customer accepts one offer containing 3 units of a product, it counts as 1 accepted offer. However, the revenue column reflects the total value of all units purchased through that offer.

Deleted funnels

Deleting a funnel does not remove its historical analytics data. Revenue and performance from deleted funnels are still included when “All funnels” is selected in the Funnel dropdown. However, once a funnel is deleted, it will no longer appear in the dropdown and cannot be viewed individually. This means historical data is preserved for overall reporting, but funnel-specific breakdowns are no longer accessible.

Tests tab

The Tests tab tracks performance for post-purchase A/B tests and multivariate tests. This tab is exclusively for post-purchase funnel tests.
The Tests tab tracks post-purchase funnel tests only. Checkout widget A/B test performance (Version A vs. Version B) is not shown in the Tests tab. To view checkout A/B test results, use the widget editor analytics view or the Checkout dashboard. See Checkout A/B Testing for details.

Selecting a test

To view test results:
  1. Use the Select a Funnel dropdown to choose the funnel containing your test
  2. Use the Select a Test dropdown to choose the specific test you want to analyze
The test card shows the test name, status (for example, “Finished” or “Not Running”), the variables tested (for example, “Layout”), the start date, and an impression progress bar showing how many impressions the test has received out of the target (for example, “0/5364 impressions”).

Top groups

The Top 3 Groups section shows your test variations ranked by performance. Each group represents a variation (for example, Group 1 = Layout A, Group 2 = Layout B). You can sort the groups using the Sort by dropdown, which includes the following options: Profit Per Visit, Profit, Revenue Per Visit, Revenue, and Conversion Rate. Click on any group to view its individual analytics. Click See all groups to expand and compare all test groups side by side.

Group-level analytics

When you select a group, you see performance metrics for that specific variation:
MetricWhat it measuresFormula
Profit per visitThe average product profit per unique visit for this variation. Takes into account cost of goods sold.profit for this variation / unique visits for this variation
ProfitThe total product profit generated by this variation.revenue for this variation - cost of goods sold for this variation
Revenue per visitThe average revenue per unique visit for this variation. This accounts for both conversion rate and order value.revenue for this variation / unique visits for this variation
RevenueTotal revenue generated by this variation.sum(upsold product revenue for this variation)
Conversion ratePercentage of offer views that resulted in an accepted offer for this variation.(accepted offers for this variation / impressions for this variation) x 100

Performance by variable

This view shows how each variable performs on average across all other variables. Use the dropdown to switch between the following metrics:
VariableWhat it shows
Profit per visitAverage profit per visit for each variable value
ProfitTotal profit for each variable value
Revenue per visitAverage revenue per visit for each variable value
RevenueTotal revenue for each variable value
Conversion rateConversion rate for each variable value
ImpressionsTotal impressions for each variable value
Use this to isolate which individual changes between variations had the most impact on performance.

Key metrics to evaluate when selecting a winner

A winning variation should perform well across multiple metrics, not just one:
  • Higher profit per visit - Each unique visit generated more profit after accounting for cost of goods sold
  • Higher revenue per visit - Each unique visit generated more revenue
  • Higher conversion rate - More customers accepted the offer
  • Comparable or better average upsell value - The accepted offers are generating equal or higher revenue per acceptance

Product page upsells tab

The Product page upsells tab shows analytics for upsells displayed on your product pages. Product page upsells do not currently support A/B testing.

Product page upsells metrics

MetricWhat it measuresFormula
RevenueThe total revenue from product page upsells.sum(PDP upsell revenue)
Revenue per viewThe average revenue generated per unique view on product page upsells.revenue / unique impressions
Unique impressionsThe number of unique views on product page upsells.sum(unique PDP views)
Conversion rateThe percentage of unique visitors who completed an order with a product page upsell.(upsold orders / unique impressions) x 100
Purchased productsThe number of products purchased through a product page upsell.sum(PDP products purchased)
Upsold ordersThe number of orders that included a product purchased through a product page upsell.sum(orders with PDP upsell)
Revenue per orderThe average revenue per order containing a product page upsell.revenue / upsold orders
Average upsell valueThe average revenue per product page upsell product purchased.revenue / purchased products
ProfitThe total profit from product page upsells. Profit is calculated by subtracting the cost of goods sold from the revenue.sum(PDP upsell revenue) - sum(PDP upsell cost of goods sold)
Profit per viewThe average profit generated per unique view on product page upsells.profit / unique impressions
Average upsell profitThe average profit per product page upsell product purchased.profit / purchased products
Profit per orderThe average profit per order containing a product page upsell.profit / upsold orders