Inside Repeat Customer Insights several core metrics are collected and analyzed for a Shopify store.
While reviewing those metrics for various customers, I’ve noticed something.
Something shared by the majority of stores.
Their biggest weakness was getting a customer who have purchased once to come back and purchase again.
In other words, creating a repeat customer.
It’s a difficult transition for any business, which is why I’m not surprised that so many stores show a weakness there.
So today’s tip is a bit of advice you can use to try and boost how many of your customers become repeat customers (also know as the Repeat Purchase Rate). Any improvement here will trickle down your customer’s lifecycle and result in more orders and revenue for you.
The core thing that you want to do is to build trust with your new customer.
Setting up a new customer welcome campaign is usually the most impactful tactic here and something many stores do a bad job with.
You can do a lot with this campaign: educate the customer on the product, proactively ask about customer service issues, share details about their order.
Spend time and effort on this campaign to slowly build up their trust step-by-step.
Eventually you’ll want to then transition them towards making their second purchase. If you have Repeat Customer Insights, you’ll want to time this transition to a bit before the latency value for the second step.
Once you have that campaign in place, keep optimizing it. Try adding more emails, rewriting emails that under-perform, starting the transition early, etc.
That campaign could become a consistent money-maker for you.
If you haven’t installed Repeat Customer Insights yet, it’s a simple process to get a detailed look at your customer behavior.
It also includes a way to export the analyzed customers to a file so you can even import it into other systems (e.g. Facebook for a custom audience, Excel for some deeper segmentation)
Use cohorts to find out who the best customers are in your Shopify store
Repeat Customer Insights will automatically group your customers into cohorts based on when they first purchased. This will let you see how the date customers bought would impact their behavior.