A Repeat Customer Insights customer was asking about comparing two different years. The problem was that one year wasn’t completed yet. Comparing years is usually a great idea but you have make sure they are the same length. If the year’s not over yet, then the absolute metrics will be off (e.g. less orders) and some …
Tag: forecasting
Forecasting how many new customers your store will attract in the upcoming months
You can do a lot when you have your customers split out to new and repeat customers like what Repeat Customer Insights does for you. One way is to see how many new customers you should expect in November and December. This can help you plan how much swag you need or how much new …
Spotting and taking advantage of opportunities
Yesterday I had a massive truck load of wood chips delivered (about 17 cubic yards). I only need a one or two cubic yards right now but I will use it all in the next 6-9 months. But since we live close to a school, it would be impossible to get a load in a …
How broken habits might be hurting your Shopify store’s sales
Though we are all unique individuals, the majority of our activities are driven by habits. If your customers habits are to reorder after they run out of your product and you can see that, it’s reasonable then to predict when they’ll be buying again. Even the best habits get broken though. External and internal events …
Creating a sales forecast for your Shopify store using Customer Purchase Latency
Today I want to teach you a bit about how to use your Customer Purchase Latency and campaign results to predict the future. No crystal ball required. Let’s use the data below as an example (if you have Repeat Customer Insights installed, feel free to follow along by looking at your own numbers) The first …
Predicting customer orders using Customer Purchase Latency in Shopify
A Repeat Customer Insights customer emailed me a question about the Customer Purchase Latency report and how they could use the previous customer behavior to make a prediction about repurchases. [I would like to know] are my customers most likely to purchase within 30 days from the last order, Let’s use the data below as …