Maximizing your Average Order Value (AOV) is some very popular advice given to ecommerce stores. Even I've written about that a few times. But like any metric, there's some subtleties involved. If you pursue maximizing your Average Order Value too much, you can end up losing money. That's because AOV...
Combining and comparing metrics can shed additional light on how your store works in a way that's impossible to get from a single metric. One of my favorite combinations is to compare your Repeat Purchase Rate with your Repeat Sales Percentage. They are both percentages and similar but how they...
A simple tip for you today. Now that the holiday rush is over, take the time to start conversations with your top... say, 10 customers. Not a Conversation with a capital C, but a conversation with a lowercase c. Person to person. Send each one a short personal email. Ask...
Repeat Purchase Rate is the percentage of customers who come back to place another order. 100% means every customer comes back again. 0% means that no one comes back. According to industry figures, an average store's repeat purchase rate should be around 27% - 32%. In other words, for every...
Your Shopify store's Average Order Value (AOV) is an important metric to get a general idea about your store's order size. It's limited in usefulness but its ease of calculation makes it a common metric to track. Depending on which set of industry data you use as a reference point,...
Your Repeat Purchase Rate should hold steady or improve as customers place repeat orders. This shows that they are engaging with your store and products. A Repeat Purchase Rate drop-off is where there's a significant drop in your rate based on a clear behavior, usually from one order to the...
While your store's Average Order Value (AOV) is important, much of that depends on your store and unique product mix. Even with industry averages for AOV, it can vary a lot from store-to-store even in the same industry. AOV can also be very difficult to improve overall because of effort...
Repeat Customer Insights is designed to make it easy for you to find the differences between your customers so your marketing can reach them better. Much of that focus centers around growing your one-time customers into repeat customers and by keeping your repeat customers around. The best way to do...
With the holiday season over, I'm gearing up development for both JSON-LD for SEO and Repeat Customer Insights. Yesterday I launched the first major update, automatic customer segmenting. Repeat Customer Insights uses the powerful RFM segmenting algorithm but that algorithm can be complex to understand. Would you know the difference...
I've received a lot of questions about Google's structured data update from last week. Today I want to address what Errors and Warnings are and how Google treats them. (They are Capitalized like Proper Nouns because they are Important Things) Errors are problems with the data or format of the...
Each tip includes a way to improve your store: customer analysis, analytics, customer acquisition, CRO... plus plenty of puns and amazing alliterations.