Turning Your Customer Data Into Emails People Actually Open

Last time we looked at what your sales data can tell you about your customers, repeat purchase behaviour, timing, RFM segmentation. But knowing the segments is only half the job. The other half is deciding what each segment actually gets sent, and making sure it goes out without you manually building a list every month. 

Here’s how that pipeline works, and the decisions you need to make at each step. 

Step one: know your segments 

If you’ve already run RFM (recency, frequency, monetary value) on your customer base, you’ve got a handful of groups, each scored on how recently they bought, how often, and how much. The segment names vary depending on who you ask, but they generally fall into these groups: 

Pattern recognition: segments where all three scores roughly agree are stable reads, either a good customer or a low value one, not much urgency either way. Segments where recency disagrees sharply with frequency and spend are the ones worth acting on fast, that’s a valuable customer who’s currently walking out the door. 

Step two: match the offer to the segment, not the calendar 

This is where most stores go wrong. The default approach many use is one email, one offer, sent to the whole list on a schedule that has nothing to do with where each customer actually sits. Don’t do that. 

• Champions don’t need a discount to keep buying. Early access, first look at new stock, a genuine thank you. Spend that effort instead of giving away margin with a discount to these customers. 
• Loyal Customers respond well to cross-selling, they trust you, so recommend the next thing to expand their experience of your catalogue rather than selling them more of what they’ve already bought. 
• Potential Loyalists need encouragement toward a second or third purchase, this is the group where a small nudge can genuinely shift behaviour, because they haven’t formed a habit yet. 
• At Risk is where a real win-back offer earns its keep, because the potential loss is a customer who was genuinely valuable, not a speculative one. 
• Lost Customers gets the lowest cost treatment; a broad reactivation email or a “we miss you”, and if there’s no response after a couple of attempts, drop them from frequent sends rather than continuing to pay to email someone who’s not coming back. 

Step three: get it out the door without doing it by hand 

The segments only work if the right message actually reaches the right person, automatically, on a schedule that doesn’t rely on you remembering to run a report. That means: 

• Recalculating segments regularly. Customers move between segments as their behaviour changes, monthly is usually enough, weekly if you’ve got the volume to justify it. 
• Syncing the result into whatever sends your email. Mailchimp, Mailgun, Klaviyo, whatever you’re on, the segment tag needs to land there without a manual export and upload each time. 
• Deciding what triggers the send. A one-off campaign per segment works fine to start. An ongoing automation, new customer enters “At Risk,” win-back sequence fires automatically, is really where you want to land with this, but it’s a bigger build. 

What to actually do with this 

Don’t try to build all five segments and their offers on day one. Start with the two that matter most for cash flow and cost: 

1. At Risk: this is where inaction is expensive. A valuable customer who’s gone quiet is worth genuine effort, not just an automated discount. 
2. Champions: protecting margin here matters just as much as chasing lapsed customers. If your best customers are getting the same blanket discount as everyone else, you’re leaving money on the table for no reason. 

Everything else can follow once those two are working properly. 

A note on scale 

If your repeat customer base is small, under a couple hundred, treat your segments as rough groupings rather than precise labels. The underlying idea is: don’t send the same message to everyone regardless of where they sit, holds regardless of size. The five-way RFM split just gets noisier the smaller your numbers get, so a simpler high/medium/low cut is often a better way to go until you’ve got the volume to support finer segments. 

If you’d rather have this running automatically than pulling a list together each month, that’s exactly the kind of thing worth talking to us about.