Why Simple Email Segmentation Works Better

POST-4/7👉 Email used to be a megaphone. In 2025, it’s a whisper in a very specific ear. Gone are the days when “blast to all” could pass as a strategy. In fact, that approach in 2025 is actively hurting your deliverability. Email Service Providers (ESPs) like Gmail, Yahoo, and Outlook are no longer just evaluating your IP health—they’re scoring your sender behavior at the recipient level. That means if 40% of your list is cold or disengaged, Gmail sees you as the problem—not just the user. ⚠️ Real Consequence: 1. We audited an ecommerce fashion brand with 220K contacts. Over 92K of them hadn’t clicked a single email in 90+ days. Gmail flagged them for bulk spam behavior, and inboxing fell from 78% to 46% overnight. 2. They were running promos weekly. Nothing was technically broken—but nothing was relevant. That’s what got them crushed. What Micro-Segmentation Solves in 2025: ✅ Reduces spam complaints ✅ Increases engagement velocity ✅ Signals positive intent to inbox providers ✅ Unlocks higher revenue per send with smaller cohorts Micro-Segmentation Tactics That Work Now: 1. Behavior-Based Journeys: Forget static tags. If someone viewed winter boots but didn’t buy, your next 3 emails better talk about warmth, snow, or style—not your general spring lookbook. ✅ Klaviyo + Shopify data lets you trigger flow branches based on: Last viewed product category Cart abandonment by SKU group Pages viewed in session (via UTMs or on-site behavior) Pro Tip: Use dynamic content blocks inside campaigns to adjust hero sections based on browse activity without cloning entire flows. 2. Lifecycle Automation by Spend Velocity This isn’t “new vs returning” logic anymore. In 2025, flows shift based on: Time since last order AOV trends SKU replenishment cycles Example: First-time customer who hasn’t returned in 30 days → “2nd purchase incentive” High-value buyer within 7 days → “VIP early access” Customer inactive 60+ days → Winback + dynamic offer block + channel sync suppression 3. AI-Supported Clustering Tools like RetentionX, Lexer, and even Klaviyo’s predictive analytics are now building multi-dimensional customer clusters using: Purchase frequency Channel source Time to second order Category loyalty It’s loyal mid-value buyers who shop monthly but only when free shipping is offered. ✅ What to do: Export these clusters to your ESP Build messaging that maps exactly to their past actions Suppress low responders from paid channels and warm email instead. Ready to Execute? Create 5 foundational micro-segments: 1. High spenders 2. First-time buyers 3. VIPs (CLV > 2.5x avg) 4. Dormant >90 days 5. Active clickers, no conversion Test 2 cadences per segment: VIPs: 4x/month + early access Dormant: 1x/month reactivation with content—not promos Use Recency, Frequency, and Monetary score buckets to tag customers and let your automations react to movement between them. #EmailMarketing #email

Poor email deliverability creates an invisible wall between you and your customers. We see this scenario play out too often: → A marketing team creates amazing content → The brand sends it out → Emails go to spam or bounce → Sales opportunities vanish That’s why you *must* make email deliverability your top priority. Here’s how: ↓ 1. Track key metrics daily Leverage your ESP to monitor: → Unsubscribe rates → Bounces → Domain health When numbers spike, find out why— Was it a specific campaign? A particular segment? Pinpoint the issue and fix it. 2. Segment strategically Ditch the “one size fits all” approach— Break your list into targeted groups: → New subscribers → Frequent buyers → People who browse but don’t buy → Fans of certain products → Engagement tracks based on varying levels of engagement …then write emails that fit each one. A skincare brand we work with split their list by skin type— Oily skin folks got different product recs than dry skin types… …and opens jumped 25% in just one month. 3. Keep your list clean Get rid of… → People who never open emails → Emails that bounce → Inactive contacts A small, engaged list beats a big, quiet one— This helps you avoid the dreaded Gmail promotions tab (once you get in, it’s hard to get out!). 4. Make it personal Use what you know about each subscriber to… → Recommend products they’ll like → Send emails when they’re likely to read → Create content based on their likes and needs Make your emails feel like they’re just for them. These elements work together: → Segmentation boosts relevance → Monitoring catches issues early → A clean list helps emails get through → Personal touches keep people reading The goal isn't more emails— It’s *better* emails that actually get in the hands of consumers when they are most likely to buy Quality content + the right consumers + engaged readers… …that's the formula for turning emails into revenue.

Over segmentation can starve your best campaigns. Let me explain. You’ve got 100,000 subscribers. Feels good. But by the time you filter for: • Only people who clicked in the last 30 days • AND bought in the last 90 • AND viewed Product X but didn’t buy.. Now you're emailing 1,432 people. You’re trying to be smart. But your best content? It never sees the light of day. Here’s a better move: 1. Look at your highest earning flows and campaigns (based on revenue per send) 2. Pull out the big idea, the thing that actually made it work 3. Repackage it for a bigger (yes, messier) audience 4. Track what matters: net revenue vs unsubscribes Turns out, a solid email sent to 30,000 semi-interested people can crush a genius one sent to 1,000 perfect people. Segmentation is powerful but only when it doesn’t kill your reach. Remember email marketing is a numbers game and you have to find the balance of size and message.

We added psychographic data to a client’s audience file. Within weeks, they were sending fewer emails and making more money. Most brands treat email like a volume game. Bigger list = better outcome. But when we appended psychographic and demographic attributes to one brand’s audience file, we saw a clear pattern: certain traits mapped to higher engagement and conversion. They stopped blasting everyone. Instead, they focused on the segments that looked like their best customers. The results: - Fewer emails sent - Higher open and click-through rates - More revenue per send If you’re not using enriched attributes to guide targeting, you’re just guessing. Send to people who actually want to hear from you.