Marketing Automation for Retail: Messages Tied to How People Actually Buy

Retailers instinctively measure a campaign by how many people it reached, which is exactly backwards. The sends that consistently produce revenue are the small ones: a few hundred people who are due to repurchase, a few dozen regulars who have gone quiet, the customers who bought in a category where something genuinely new has arrived. They perform because the message is relevant, and relevance is a function of knowing what somebody bought.

The broadcast has its place, mostly around festivals and seasonal events where everybody expects to hear from shops anyway. But a retailer whose entire programme is broadcasts will find the response declining every year, and will usually respond by sending more, which accelerates the decline.

One half is behavioural and runs continuously without anybody deciding: replenishment reminders, win-backs, new arrival alerts to relevant customers, points expiry notes. Marketing sets the rules once and then monitors them. The other half is planned: festive campaigns, end of season events, store anniversaries, new outlet openings. That half needs a calendar, a frequency cap and a single owner, because the failure mode is three teams sending into the same week.

A campaign that drives a customer into a shop where the staff have not been briefed does more harm than sending nothing. The customer arrives with a message on their phone, the person at the counter has not heard of it, and the retailer has converted a marketing investment into an argument. Briefing store teams before the send, and giving area managers visibility of what is running, costs almost nothing and is the most commonly skipped step in the whole routine.

A phone number given at billing is not consent to market. Ask, record the channel and the date, and make the opt-out obvious in every promotional send. Apply an opt-out across all campaigns immediately and permanently. Keep service messages, such as an order ready notice or a warranty reminder, in a separate class so declining offers does not cost somebody information they need. Then watch the number that actually predicts list health: how many messages an average customer received last month. Most retailers who look at that figure for the first time are surprised by it, and reducing it usually improves response.

Attach a redemption code or identify the purchase, and report reach, redemption, attributed revenue and store-level conversion for every campaign. Show opt-out volume in the same table. The comparison that changes behaviour is between a large broadcast and a small behavioural send, because the small one nearly always wins per message sent, and seeing that in one table is what finally moves a retail marketing calendar away from volume and towards relevance.

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