Sometimes, ecommerce business owners give shopping behavior analysis a miss, examining only separate indicators such as conversion rate or bounce rate. However, being aware of how your customers transfer between each stage of your purchase funnel may help you provide prudent solutions, improve user experience, and increase website performance at no additional cost.
We should admit that shopping behavior analysis is not about modelling a loyal customer behavioral portrait. Vice versa, this approach allows you to identify the hurdles users who rarely come to your website meet with, and reasons why they leave purchasing nothing. The main objective of consumer shopping behavior analysis is to decrease the ratio of the number of total sessions and sessions with transactions by improving the website performance at each stage of the purchase funnel.
Note: These insights are useful for any-scale ecommerce business, but for websites with over 10,000 transactions per month this is a must. If you do not have enough knowledge of how Google Analytics works, this would be a perfect idea to involve experts who do or contact our Promodo analytics specialists with a vast experience in examining such statistics.
The typical way to analyze your customer behavior is to use your Google Analytics account. However, some data isn’t available here, and you will need to benefit from other services.
Selecting Conversions > E-commerce > Shopping Behavior in your Google Analytics account, you will find the statistics over how many users move through the whole consumer path of your purchasing funnel. There are five graphs with numbers of visitors who have completed a specific action. All these are obviously arranged in descending order:
The average percentage of sessions with transactions in the UK ecommerce market is 4.31%. In case your conversion rate is under 1% — you must analyze your customer behavior deeply.
For instance, you noticed a significant number of users who had viewed your product page. 70% of these users added items to their shopping carts, but only 0.5% completed a purchase. In this case, you need to analyze the actions which are required during checkouts, such as registration, phone number confirmation, or billing address. According to the recent Baymard report, these are the common reasons why a client abandons a site during checkout.
You can check your assumption in the Checkout behavior tab in the Google Analytics account to define what page to put under a microscope.
After reviewing the overall situation, you can create additional ecommerce segments to examine the consumer shopping behavior within each. Segmentation will help you make selective research, reveal pain points and track how the situation will change after A/B tests.
How to do this? In the same tab Conversions > Ecommerce > Shopping behavior click the graph and create a cognominal segment you want to analyze. For example, it may be sessions with basket abandonment.
Now besides much abandonment, you can check out such data as:
The created segment appears over the entire analytics account, making it possible to check various insights within a segment. Thus, in the “Channel Overview”, you can track the digital marketing channels, that led these users or examine the full audience report.
Please remember, this feature is available with each stage of the purchase funnel, and you can analyze buyer sessions with no-basket addition, check-out abandonment and sessions with transactions simultaneously.
Based on the foregoing ecommerce segments you created according to your weak areas, examine which pages on your website are landing and which are exit within each group of sessions. This step will help you understand the exact pages which require improvements and more detailed analysis.
In the following example, we can see that 44% of sessions are interrupted on the payment and info pages, which reveals possible problems with payment methods. Probably, that page also contains a link to the info page where terms and conditions are insufficient and do not meet the consumer expectations.
Heatmap for ecommerce is a fantastic extra solution for tracking shopping behavior on specific webpages. Entirely, there are four types of heatmap:
The report looks like your website page with highlighted with different colored areas where orange and red are the most active among visitors. Unfortunately, Google Analytics doesn’t have this data, however, you can use other free popular heatmap tools for ecommerce, such as Crazy Egg, Hotjar, or Smartlook.
A more common question for businesses is how users browse Google. Instead, some visitors who liked your website design/ attractive price / convenient delivery terms/ useful content and so on try to find the product they need directly on your website.
You may check this data within a specific segment or view general statistics. Site search within consumer shopping behavior analysis will help you understand the needs of your audience, improve assortment and perhaps discover a new focus. And maybe it will help you set up a successful remarketing campaign targeted on users who searched for a popular specific product in your online store.
To assemble the whole picture of online shopping behavior, especially if your digital marketing strategy is omnichannel, check what and how many actions led users to a conversion, following Conversions > Multi-Channel Funnel > Top Conversion paths in the Google Analytics account.
In the Time Lag tab, you can find the information on how many days it took for a buyer from the first interaction with your website to the conversion. Being aware of this average number you can improve, as an example, you trigger emails or launch time-limited offers for users who came to your website three times a day.
And finally, check the number of interactions, needed to convert a visitor into a customer in the “Path Length” tab.
Analyzing online shopping behavior on your ecommerce website is like Self-actualisation in Maslow’s hierarchy of needs, which is the top of the pyramid. To take care of this, you need to satisfy the basic needs first. However, insights on shopping behavior allow us to stand back and look at our business through our customer’s eyes. And to solve local issues instead of just investing more and more budget each time to attract users via CPC ads. In the ecommerce world, all channels of attracting customers are good, that’s true. But the whole system needs to work in harmony and balance.
Analyzing consumer shopping behavior on your website, certainly, use funnel segmentation to examine each segment separately. This will allow you to identify problem areas and apply the most effective solutions to imbehaviorprove them.
Do not hesitate to use heatmaps. First of all, because they look awesome, and secondly, they are extremely informative for customer experience enhancement.
The one way to check your assumption is to conduct A/B test. We wouldn’t recommend you change your problem pages completely. Try to make minor changes and track the results.
Contact our Promodo digital marketing experts if you need any help with ecommerce analytics.
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