Behavior reports

Behavior reports help you understand your customers' shopping behavior. If your store is on the Shopify plan or higher, then you can also access theOnline store cart analysisreport. These reports can provide insights to your business about how to do the following:

  • market your products better online and offline
  • upsell to your best target audience
  • create promotional pricing and product bundles
  • increase your average order total.

For example, if your online store has a theme that has a search bar, then you can see what terms your visitors are using to search for products in your store in theTop online store searchesreport. You can also see the search terms that don't give any results in theTop online store searches with no resultsreport.

You can use the data in the behavior reports to increase sales by arranging your store so that customers can find what they're looking for, and that in the process they're encouraged to make additional purchases.

View your behavior reports

Steps:

  1. ClickCategories.
  2. ClickBehaviorto filter the reports to show only behavior reports.

Online store conversion over time

TheOnline store conversion over timereport shows you the percentage of online store visitors that make a purchase over a selected period of time.

The following columns are in theOnline store conversion over timereport:

Columns in the online store conversion over time report
Column Description
Time grouping The time grouping you've selected, such as day, week, or month.
Sessions The total number of sessions on your online store.
Added to cart The total number of sessions where a customer added a product to a cart.
Reached checkout The total number of sessions where there was user input (for example, a key press or mouse click) during checkout.
Sessions converted The total number of sessions where a customer purchased a product.
Conversion rate The percentage of sessions that resulted in a purchase.

This information can help you understand how well your store is converting sessions into sales.

When you open this report, the data is up to date, give or take a few seconds. You can reopen or refresh the report to show newer data.

You cancompare data from different date rangesin this report.

你每天的报告可能更新体育48小时内riod after it's initially processed and published. This happens because your traffic data is calculated within a minute, and unwanted bot traffic can end up included in the data. Tests to determine this type of traffic are run, and can take up to 48 hours to complete. If these tests find unwanted traffic, then the unwanted data is removed from your reports.

Example: Using the online store conversion report to make business decisions

Sarah has a sporting goods store. A lot of people visit her online store, but she isn't getting many sales yet.

从她的Shopify admin, Sarah clicksAnalytics>Reports. On theBehaviorcard, under theReportsheading she clicksOnline store conversion over time. She clicks theGroup bydrop-down menu, and groups her conversion rate report byMonth.

Sarah discovers that her online store conversion rate last month was 5%, meaning 5% of people who visited her online store that month ended up purchasing a product. Over the next month, Sarah reorganizes her collections and launches a new discount code to see if it improves her conversion rate, using theOnline store conversion over timereport to monitor her progress.

Online store speed

Optimizing youronline store speedcan improve the shopping experience for your customers, make your store more discoverable, and increase conversion. You can learn how your store performs against industry standards and other Shopify stores like yours by viewing yourOnline store speedreport.

To learn more about this report, refer toOnline store speed report.

Product recommendation conversions over time

If you useproduct recommendations from Shopifyon the product pages of your online store, then theProduct recommendation conversions over timereport shows you how effective those recommendations are over a selected period of time. This information can help you understand how well your store is converting product recommendations into sales.

The following columns are in theProduct recommendation conversions over timereport:

Columns in the product recommendation conversions over time report
Column Description
一天 The day that the customer interaction occurred.
Sessions The number of sessions where customers viewed product recommendations on a product page.
与点击 会话的数量,产品页面是viewed by a customer after clicking a product recommendation.
Sessions with add-to-cart The number of sessions where a recommended product was added to the cart by a customer after clicking a product recommendation in the session.
Sessions with purchases The number of sessions where a product was purchased by a customer after adding it to the cart following a click on a product recommendation within the session.
Click rate The percentage of sessions with product recommendations that resulted in a click on a product recommendation.
Add-to-cart rate The percentage of sessions with product recommendations that resulted in a product recommendation added to cart.
Purchase rate The percentage of sessions with product recommendations that resulted in the purchase of a product recommendation.

The data is like a funnel: the number of sessions is always greater than or equal to the number of clicks, the number of clicks is always greater than or equal to the number added to cart, and the number added to cart is always greater than or equal to the number of purchases.

The report doesn't include data for products that are added to the cart or purchased by using aBuy Buttonor a third-party app.

You can group the data by day, week, or month. You can alsocompare data from different date ranges.

Because of the way that recommendations are tracked, this report might not show all the recommendation engagement on your store from the past 24 hours.

Top products with low recommendation click rate

TheTop products with low recommendation click ratereport shows you the top selling products of the last 30 days that have recommendations with a click rate below average.

Columns in the top products with low recommendation click rate report
Column Description
Product title The title of the product.
Product type The type of the product.
Recommendation click rate The percentage of sessions with product recommendations that resulted in a customer clicking a product recommendation.
Difference from average click rate The difference between the Recommendation click rate and the average click rate.

The information in this report can help you understand which products your customers are viewing the most that have a below average click rate for the recommended products that are displayed. You can consider customizing the recommendations for these products in theSearch & Discovery app.

The report includes data in the last 30 days and will change daily. Because of the way that recommendations are tracked, this report might not include data on your store from the past 24 hours.

Top online store searches

TheTop online store searchesreport shows you a breakdown of the search terms that your customers used to search for a product in your online store.

Columns in the top online store searches report
Column Description
Search term The term that the customer used to search your store.
Number of searches The number of sessions where customers searched your store with that term.

This information can help you understand specific words that customers are using when they are looking for something in your store. You can consider whether adjusting your product titles and descriptions will help your customers to find what they're looking for quickly.

Because of the way that searches are tracked, this report might not show all the searches on your store from the past 12 hours.

Top online store searches with no clicks

TheTop online store searches with no clicksreport shows you a list of the search terms with results that didn't receive any clicks from the customers searching your store.

The following columns are in theTop online store searches with no clicksreport:

Definition of the columns in the top online store searches with no clicks report
Column Description
Search term The term that the customer used to search your store.
Number of searches The number of sessions where customers searched your store with that term.

This information can help you understand the specific words that customers use to search your store when they don't click any results. You can then consider whether adjusting your product titles and descriptions will help your customers to find what they are looking for quickly. You can also customize your store's search results in theSearch & Discovery app.

Because of the way that searches are tracked, this report might not show all the searches on your store from the past 12 hours.

The report includes data starting from September 2, 2022.

Top online store searches with no results

TheTop online store searches with no resultsreport shows you a breakdown of the search terms that your customers used to search for a product in your store that didn't give them any results.

The following columns are in theTop online store searches with no resultsreport:

Columns in the top online store searches with no results report
Column Description
Search term The term that the customer used to search your store.
Number of searches The number of sessions where customers searched your store with that term.

This information can help you understand the specific words that customers are using when they are looking for something in your store. You can consider whether adjusting your product titles and descriptions will help your customers to find what they are looking for quickly. You can also customize your store's search results in theSearch & Discovery app.

Because of the way that searches are tracked, this report might not show all the searches on your store from the past 12 hours.

Search conversions over time

If you use Shopify'sstorefront search, then theSearch conversions over timereport shows you how effective storefront search is over a selected period of time. This information can help you understand how well your store is converting searches into sales.

The following columns are in theSearch conversions over timereport:

Columns in the search conversions over time report
Column Description
一天 The day when the customer interaction occurred.
Sessions The number of sessions where customers searched.
与点击 会话的数量,产品页面是viewed by a customer after clicking a product that appeared in search results.
Sessions with add-to-carts The number of sessions where a product was added to the cart by a customer after clicking a product that appeared in search results within a session.
Sessions with purchases The number of sessions where a product that appeared in search results was purchased by a customer after clicking the product in search results and adding it to the cart within a session.
Click rate The percentage of search sessions that resulted in a click to view a product.
Add-to-cart rate The percentage of search sessions that resulted in a product added to cart.
Purchase rate The percentage of search sessions that converted into purchases.

The data is like a funnel: the number of sessions is greater than or equal to the number of clicks, the number of clicks is always greater than or equal to the number added to cart, and the number added to cart is always greater than or equal to the number of purchases.

You can group the data by day, week, or month. You can alsocompare data from different date ranges.

The report doesn't include data for products that are added to the cart or purchased by using aBuy Buttonor a third-party app.

Because of the way that searches are tracked, this report might not show all the searches on your store from the past 12 hours.

Sessions by landing page

TheSessions by landing pagereport shows you which page sessions on your store start on.

You can see this breakdown from yourAnalyticspageregardless of what Shopify pricing plan you're on.

When you open this report, the data is up to date, give or take a few seconds. You can reopen or refresh the report to show newer data.

Sessions by device

TheSessions by device报告显示你的类型devices used to access your website.

You can see this breakdown from yourAnalyticspageregardless of what Shopify pricing plan you're on.

When you open this report, the data is up to date, give or take a few seconds. You can reopen or refresh the report to show newer data.

Online store cart analysis

TheOnline store cart analysisreport helps you understand your customers' shopping behavior by showing you pairs of products that they have added to the same cart in the last 30 days. You can use the information in this report as a guide for building marketing strategies based on the data that you see.

This report is available if your store is on the Shopify plan or higher.

Steps:

  1. ClickCategories.
  2. ClickBehaviorto filter the reports to show only behavior reports.
  3. ClickOnline store cart analysis.

The report shows a maximum of 10 pairs of products.

Because of the way that this report is generated, the analysis might not reflect all the activity on your store from the past 24 hours.

Marketing techniques

Have you ever wondered why milk is usually found at the back of the grocery store, far away from the cereal?

The milk could be moved to a fridge closer to the cereal, or the cereal could be moved closer to the milk, but they are purposely separated.

Because milk spoils quickly, most people who grocery shop need to buy milk frequently. Marketers place the milk at the back of the store so shoppers have to walk past many other products to get to it. Studies in psychology and marketing show that shoppers will recognize brands of other products while walking between the cereal and milk and add them to their carts. Often enough, the product is something shoppers didn't even know they wanted.

Cereal is placed closer to the entrance because marketers are confident that if you purchase cereal, then you will need milk as well. You will then have to get the milk from the back of the store and walk past all the other products on the way there. If you went to the store to purchase milk, then it's not guaranteed that you would want cereal with it. Because of this, milk is placed at the back of the store and cereal is placed at the front, and not the other way around.

Regardless of what industry your business is in, you can apply this type of marketing technique in your Shopify store.

In the following examples,Product Awill refer to the products under theShoppers who addedcolumn andProduct Bwill refer to the products under the... also addedcolumn to illustrate the product relationships in theOnline store cart analysisreport.

Price discounts and markups

Based on the concept that shoppers are likely to addProduct Bto their cart after addingProduct A, you can discountProduct Aand increase the price ofProduct B. The discount might increase the frequency thatProduct Ais added to the cart and impact the frequency thatProduct Bis also added.

There are different ways to discount your prices in Shopify:

Website ads

You can advertise your products on your website using banner ads and product recommendations.

Many Shopify themes have slideshow banners built into the home page. The banner is a highly visible section of your store, so you can place a横幅广告that customers can click and go directly to that product. If you are not familiar with how to do this yourself, then you can work with a designer or aShopify expertto create an advertisement and upload it to your home page slideshow.

You can also useproduct recommendationstosuggest related productsto your customers based on products that they're currently viewing.

Email campaigns

You cancollect customer emails during checkoutand run email marketing campaigns.

If you have a long list of customers to email, then you can find anemail appin the Shopify App Store to build a mailing list that pulls data from theCustomerspage in your Shopify admin.

Product location in your store

In themilk and cereal example, grocery stores try to increase sales by physically separatingProduct AfromProduct B. If the relationship between products isn't strong enough, then customers might not be able to findProduct Band give up, making the separation harmful to your sales.

Placing products close together might not give you the same advantage as shown by the product relationship in the milk and cereal example, but it makes it easier for your customers to find what they are looking for.

Make sure that you consider how you place your products in your online store because customers might not search for products online the same way that they would in a physical store. If you do separate your products, then make sure that customers can still search your store for what they're looking for.

There are different ways to change the product placement in your store:

Logistics

You can use product relationships in theOnline store cart analysisreport to help you plan how to stock your inventory. For example, you can keepProduct Blocated close toProduct Ain your warehouse.

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