Shopify articles - Page 31

Big Data and AI... itty bitty living space

Whenever I hear about Big Data and AI I think of Robin Williams. Phenomenal cosmic power... Itty bitty living space Jokes aside, the hard thing with Big Data, AI, and all the other buzzwords is that you have to have a PhD in order to understand it. Even then, some...

Use free gifts to retain loyal customers

One thing you can do to keep your most loyal customers around is to send them a free gift unannounced. Done right, it can be a surprise that they remark about for a long-time afterward. You'll want to check a few things before you send it: Send it shortly after...

Why you need to save historic metrics

The reason to collect and analyze metrics is to help make a decision. No decision, no point in collecting metrics. Sometimes you'll want to collect metrics ahead of time though. That way when you're ready to make a decision, you have enough historical data to support you. That's why every...

Using RFM for anti-defection campaigns

While Average Customer Purchase Latency is much better at predicting defecting customers, it can be difficult to calculate unless you use software like my app. An alternative is to use RFM. It's a bit easier to calculate (the core is three simple sorts) and much easier to understand. RFM also...

Average latency is the perfect metric for automated anti-defection campaigns

Customer defection happens when a customer should have bought but they haven't. Either they bought from someone else (competitor) or didn't buy again at all. In either case, defecting when that happens can be a powerful trigger for customer retention. Get those customers to come back to your store and...

How Customer Lifetime Value factors into the RFM analysis

Lifetime Value (and Customer Lifetime Value) are important metrics for Shopify stores when it comes to customer segmenting. Its limitations are that it only looks at a value at a point in time. A LTV of $1,000 might be really great. Really low. Or even could be a customer who...

Focus on getting two customers this month

Early on in a recent recession, someone [1] gave the advice of: Focus on getting two new customers each month. Get out there and hustle. Ignore the rest of the recession. Though aimed at smaller software companies who earn recurring revenue, this advice can apply to any business. Two new...

When shouldn't you use RFM analysis

Even though RFM analysis can work on most Shopify store sizes, there are some times when it's too complex or not worth the time to use. Early in your store RFM analysis uses your customers past buying behavior to segment them. If your store is new, say within the last...

Evaluating your 4th of July's promotions

Happy 4th of July to you. Being the US's Independence Day, it gets a lot of attention every year along with special holiday sales. This year the promotions started last Friday and I've seen some extended into Wednesday. A nice long 6-day cycle that captures both the weekend and a...

Discover silent wholesale customers using order analysis

Wholesale orders can be profitable for your store, even without a separate wholesale division or even much of a plan. When they buy on a regular schedule you can get a foundation of stable revenue. When companies buy in bulk they are usually looking for two things: good price on...

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