New ecommerce-focused Google Analytics studies might assist retailers establish points with shopper journeys and the checkout course of.
The Google Analytics 4 purchase journey report exhibits the funnel from when a would-be buyer begins an online session by way of buy. And the newer checkout journey report shows the checkout funnel in 4 detailed steps.
Each studies present the place consumers abandon the shopping for journey. The info might establish issues in a retailer’s navigation or level out alternatives for checks or optimization.
Checkout Journey Report
Discovered below Stories > Monetization in GA4, the checkout journey report exhibits the quantity and share of customers who begin the checkout course of on an ecommerce website or app after which full every subsequent step.
It makes use of a closed funnel methodology, focusing solely on consumers who began on the “Start checkout” step.
The report can establish bottlenecks or points within the checkout move. For instance, a enterprise with an enormous drop-off after the transport step might have a technical or pricing downside with the out there supply choices.
Checkout Steps
For the checkout journey report, knowledge is collected from 4 GA4 occasions.
- begin_checkout for the “Start checkout” step.
- add_shipping_info for the “Add transport” step.
- add_payment_info for the “Add cost” step.
- buy for the “Buy” step.
Retailers will add these occasions to the checkout move. Google gives implementation directions for desktop and mobile gadgets to make sure the right GA4 occasion is specified at every checkout stage.
gtag("occasion", "begin_checkout", {...
Checkout Dimensions
When its report hundreds, the checkout journey will present the move by “gadget class,” i.e., cell or desktop. However the report may embody different dimensions. Right here is the entire record:
- System class,
- Nation,
- Area,
- Metropolis,
- Language,
- Age,
- Gender,
- Browser.
Thus entrepreneurs can discover checkout glitches for a selected group of consumers.

The desk within the checkout journey report is initially divided by gadget class, however different dimensions can be found. Click on picture to enlarge.
Buy Journey Report
The GA4 buy journey report gives insights into shopper drop-offs at every step of the funnel, though with much less element throughout the checkout. The 2 studies can work collectively to establish optimization alternatives.
The acquisition journey report is positioned in GA4 at Stories > Monetization.

The acquisition journey report exhibits patrons’ actions from session begin to buy, though the report for checkout journeys is extra detailed. Click on picture to enlarge.
Buy Steps
The acquisition journey report gathers knowledge from 5 GA4 occasions:
- session_start marks the beginning of a session.
- view_item is triggered when a product is considered.
- add_to_cart is triggered when an merchandise is added to the cart.
- begin_checkout for the “Start checkout” step.
- buy or in_app_purchase for the “Buy” step.
Just like the checkout journey report, the GA4 occasions for gathering buy journey knowledge will should be arrange and added to the suitable pages of an ecommerce web site.
Some ecommerce platforms embody some or most of those occasions of their GA4 integration. For instance, Shopify’s GA4 integration robotically provides the view_item, add_to_cart, buy, and several other different occasions.
Buy Dimensions
As of October 2023, the acquisition journey report had the next analytics dimensions, two fewer (age and gender) than the checkout journey report:
- System class,
- Nation,
- Area,
- Metropolis,
- Language,
- Browser.
Utilizing the Stories
The studies and funnels described listed below are useful provided that ecommerce entrepreneurs use them to optimize the buyer’s journey. Right here’s an instance.
Monitor the funnel. Begin by watching the funnel, being attentive to how promotions, days of the week, or holidays influence patrons’ journeys.
Discover drop-offs. Any level within the buy or checkout funnel the place consumers drop off is a possible downside or alternative.
Examine. Study drop-off factors and hypothesize on the underlying trigger. For instance, a great deal of consumers leaving on the transport step might point out the associated fee is simply too costly relative to the typical order worth.
Take motion. Handle the potential reason behind a drop-off and implement an answer. This may very well be a check on the add_shipping_info step that reduces the transport value.
Watch and iterate. Did the check work? Are extra consumers arriving on the subsequent step? Measure the outcomes. If the drop-off continues, develop a brand new speculation and resolution.
Hold optimizing. Embrace optimizing the customer’s journey as a routine advertising and marketing exercise.
Can’t Discover the Stories?
Add buy journeys and checkout journeys from the report library if they don’t seem below Stories > Monetization.