Personalized recommendations fail for boring, fixable reasons — almost never because “personalization doesn’t work for your store.” The usual culprits: the engine has too little data to work with, it keeps suggesting things the customer already owns, it reads a one-off purchase as a lifelong interest, it optimizes for clicks instead of profit, or it’s […]
Category Archives: Personalization and Product Recommendations
A recently viewed products block shows each subscriber the items they personally looked at on your store, pulled into the email automatically. It works because it removes the guessing: instead of you deciding what might interest them, the customer already told you by clicking. Used well — in browse abandonment flows, as a secondary block […]
Product category affinity is the pattern in what a customer keeps gravitating toward — the categories they repeatedly view, click, and buy from — and using it means letting that pattern decide which products, campaigns, and offers each person sees. Instead of one newsletter with the same hero product for everyone, the running-gear buyer gets […]
This is a working audit you can run on your store’s personalization in about two hours: six areas, each with pass/fail checks you can verify inside your email platform and storefront today. The areas, in the order to check them — data foundation, recommendation quality, message content, flow coverage, human oversight, and measurement. Most stores […]
Purchase history is the most reliable personalization data you own, and using it well comes down to four questions you can answer for every customer: what did they buy, from which category, how often, and how long ago. Those four answers let you send the follow-up that fits — a complementary product after a first […]
Personalizing email by customer value means splitting your list into three or four spend-based tiers — typically VIPs, steady repeat buyers, one-time buyers, and not-yet-buyers — and changing three things per tier: what you offer, how often you send, and how much margin you’re willing to spend on them. The short version of the strategy: […]
Most-viewed products — the items getting the most pageviews across your store right now — are the best default content for automated messages sent to contacts you know nothing about yet. Their job is to stand in when personal data doesn’t exist: the welcome email to a fresh subscriber, the early messages of any flow […]
Dynamic content means one email template that renders differently for each recipient: a product block that fills with items picked per person, a paragraph that only appears for a certain segment, a token that drops in a name or a last-bought product. You use it in three forms — personalization tokens, conditional blocks, and dynamic […]
Customer location makes your messaging better in four practical ways: sending at the right local time (including SMS quiet hours), matching offers to climate and season, being accurate about shipping costs and delivery times, and splitting campaigns by country or region when the product mix differs. The data comes from shipping addresses first — the […]
Browsing behavior beats every other signal for one specific job: telling you what a customer wants right now. Purchase history tells you what they wanted months ago; a bestseller list tells you what everyone else wants. But the products someone viewed this week — especially the ones they returned to — are a live statement […]