BigCommerce Analytics | Insights Report
What We'll Cover
Insights provides merchants the ability to drill down on information, such as what products should get top placement on your site, and which marketing channels bring you customers that spend the most over the lifetime of their relationship with your brand with minimal legwork on your part.
In a few clicks, users can view information on repeat purchase rates, cohort performance, and product performance without having to sift through data, create reports, deal with Excel, or any cloud-based reporting solutions.
Insights is available for merchants to add on separately in addition to the reports that come with their plan. To purchase Insights, go to Analytics › Insights and follow the purchase prompt. To cancel Insights, please contact our Account Services team.
Products to Improve — Among your most visited products, these are your worst converters. These are calculated by taking the top 10% most viewed products and sorting them by conversion rate from worst to best.
Rockstar Products — These are your most visited, best converting products. These are calculated by taking the top 10% most visited products and sorting them by conversion rate from best to worst
Non-sellers — These products are not selling at all. Products with 0 orders, sorted by most visited from most to least.
Most Discounted Products — See the performance of your discounted products. These are calculated by sorting discounted products by average discount applied, from lowest to highest.
Hot Products — These products had the most revenue growth from the week prior. These are calculated by sorting products by revenue growth in absolute terms (i.e. dollar growth, not percentage growth).
Cold Products — These products had the largest revenue drop from the week prior. These are calculated by sorting products by revenue loss in absolute terms (i.e. dollar loss, not percentage loss).
Products Purchased Together — For each of your top-selling products, here is the related product with which it is most frequently sold.
Customer LTV by Product - First/90th/180th Day — Which product had the highest first order value, and how many customers. This averages the first order value average for new customers from the past month.
|Merchandising Insights||Updated Weekly||Updated Monthly|
|Products to Improve||✓|
|Most Discounted Products||✓|
|Products Purchased Together||✓|
|Customer LTV by Product - First/90th/180th Day||✓|
|Products to Improve||top 10% most viewed products with at least 1 visit||Conversion rate (ascending)|
|Rockstar Products||top 10% most visited products with at least 1 visit||Conversion rate (descending)|
|Non-sellers||products with 0 orders||Visits (descending)|
|Most Discounted Products||% of products sold at discount||Avg discount for all qty (including qty sold at full price) (descending)|
|Hot Products||products that had the most revenue growth from the week prior||Revenue change (descending)|
|Cold Products||products that had the most revenue drop from the week prior||Revenue change (ascending)|
|Products Purchased Together||product that is most often sold with the top-selling product in the relevant week||Revenue (descending)|
|Customer LTV by Product - First/90th/180th Day||products that had the highest first order value by the Nth day||Revenue (ascending)|
Best Customers — These recent customers purchase often and spend the most. Customers who meet this criteria have purchased within the last 30 days, are in the top 20% of customers in terms of number of orders, and are in the top 20% of customers in terms of total spending. All guest orders are lumped into an Anonymous placeholder customer.
Customers at Risk — These are high-value customers who last ordered between 30-365 days ago. They are in the top 20% customers for total spending.
Repeat Purchase Rate — The percentage of customers who made a repeat purchase, and how long in between orders repeat purchases take place.
Best Products for Repeat Purchase — Customers who purchased these products were most likely to purchase again. The repeat purchase % is the percentage of customers who made a repeat order. This report is restricted to products purchased by at least 5 customers within the same cohort.
Viewed But Did Not Purchase — These customers viewed the same product more than once but didn't purchase. This is calculated by looking at the number of page views, unique visits, and unique days visited. The higher these values, the more interest is shown.
Customer LTV by 30/90/180/360th Day (LTV - Lifetime Value) — This is the average the customer has spent by a certain point after registering. This is calculated by taking the weight average of Revenue Per User for your five most recent monthly cohorts. Only monthly cohorts with at least 30 days of lifetime are used.
Best Full Price Customers — These are your best customers that buy even without discounts. Customers that meet these criteria buy all products at full price, have purchased within the last 30 days, and are in the top 20% of customers in terms of number of orders place and total spending.
Low AOV Customers — These are customers who are in the top 20% for orders but lowest 20% for spending. Customers that meet these criteria must have purchased within the last 30 days.
|Customer Insights||Updated Weekly||Updated Monthly|
|Customers at Risk||✓|
|Repeat Purchase Rate||✓|
|Best Products for Repeat Purchase||✓|
|Viewed But Did Not Purchase||✓|
|Customer LTV by 30/90/180/360th Day||✓|
|Best Full Price Customers||✓||✓|
|Low AOV Customers||✓|
|Best Customers||customers who have purchased the most and the most often within the last 30 days||Revenue (descending)|
|Customers at Risk||high value customers that have not purchased between 30-365 days ago||Revenue (descending)|
|Repeat Purchase Rate||% of customers who made a second order by the Nth day||Day (descending)|
|Best Products for Repeat Purchase||products that when purchased are associated with customers making another order||Repeat Purchaes % (descending)|
|Viewed But Did Not Purchase||products that were visited but not purchased in the relevant week||Pageviews (descending)|
|Customer LTV by 30/90/180/360th Day||average value of a customer, Nth days after their first order||Cohort (descending)|
|Best Full Price Customers||customers that purchase the most often at full price||Revenue (descending)|
|Low AOV Customers||customers who purchase frequently but spend the least||Orders (descending)|
Abandoned Carts Insights
Most Abandoned Products — These products have the most associated abandoned carts (see Abandoned Cart Report). We recommend looking at these products to determine why customers are adding them to their cart but not checking out (e.g. if shipping is too high).
|Abandoned Carts Insights||Updated Weekly|
|Most Abandoned Products||✓|
|Most Abandoned Products||products that were abandoned the most in the relevant week||Abandoned carts (descending)|
Customer LTV By Channel - First/90th/180th Day — Which marketing channel had the highest first order value, and how many customers. This averages the first order value average for new customers from the past month.
|Marketing Insights||Updated Monthly|
|Customer LTV By Channel - First/90th/180th Day||✓|
|Customer LTV By Channel - First/90th/180th Day||channel that had the highest first order value by the Nth day||First Order Value (descending)|
Businesses of all sizes can benefit from Insights, so pricing is simple and based on your monthly order volume.
|Monthly order volume||Price per month|
|Up to 500 orders||$50|
|501 to 1,000 orders||$100|
|1,001 to 2,000 orders||$250|
|2,001 to 5,000 orders||$500|
|Over 5,000 orders||Call us for a custom quote: 1-866-940-8651|
- Using BigCommerce Analytics
- Making the Most of Your Analytics Reports
- Troubleshooting | BigCommerce Analytics
- BigCommerce Analytics | Glossary of Terms
- BigCommerce Analytics | Store Overview Report
- BigCommerce Analytics | Real Time Report
- BigCommerce Analytics | Merchandising Report
- BigCommerce Analytics | Marketing Report
- BigCommerce Analytics | Orders Report
- BigCommerce Analytics | Customers Report
- BigCommerce Analytics | Purchase Funnel Report
- BigCommerce Analytics | Abandoned Cart Report
- BigCommerce Analytics | Abandoned Cart Recovery Report
- BigCommerce Analytics | In-Store Search Report
- BigCommerce Analytics | Sales Tax Report