A Shopify store using Repeat Customer Insights asked about how to use the app to attract new customers. Since the app doesn't know about new customers until their first order, you'll want to use the app's analyses to help identify which kinds of customers and marketing worked. You'll benefit from...
After three years of growth, two of our apple trees finally grew flowers which mean we might have the first apples later this year. All that research, planning, and waiting might finally pay-off. The same goes for a lot of strategic opportunities you come across in your Shopify store. Opportunities...
Your customers are your store's lifeblood. Without them, your business would fail. After growing your business past a certain size it becomes difficult to remember every customer. That's why it's important for a business to start segmenting customers early on. Without segmenting, you'll have difficulty providing the different levels of...
In Repeat Customer Insights I developed the Customer Grids so it's easier to see visually how RFM works to segment your customers. By combining two RFM components, the three grids are able to describe a large amount of customer behavior in one area. Recency-Frequency (RF) Grid The Recency-Frequency Grid shows...
Using cohorts in your customer analysis is a great way to start segmenting customers. Cohorts can be confusing though. They sound a lot more advanced then they really are. What is a cohort? A cohort is simply a group of people who show similar behavior at the same time. Everyone...
One problem with analytics systems like Repeat Customer Insights is knowing where to focus. The systems can assemble a lot of data, convert it into information, and present it in numbers, charts, or graphs. But going from there to actual business decisions and changes is the gap. In the app...
Alfons was asking about how the cumulative cohort option in Repeat Customer Insights works. When you enable Include Previous Months (cumulative), each column adds the ones from the left so there's a running total. For example, lets use the regular cohort analysis. If you look on the row 2022-01, when...
One of the great benefits of a cohort analysis is that you can compare how time changes customer behavior. When cohorts are month-based, like in Repeat Customer Insights, you can compare the vertical columns to see how customers behave after e.g. 1 month, 2 months, 6 months. That'll let you...
Scheduling your marketing campaigns can take a lot of guesswork. You want to have customers come back and buy as soon as possible, but you don't want to piss them off and have them leave forever. You also might have entertaining or educational content that isn't hard pitches, but that's...
Customer retention can be a tricky problem with Shopify stores. Most stores don't have subscriptions or subscriptions aren't their main transaction type. That means each order has the potential to be the last order from that customer and you won't know until it's too late. You never really know if...
Each tip includes a way to improve your store: customer analysis, analytics, customer acquisition, CRO... plus plenty of puns and amazing alliterations.