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    Segmentation in email marketing: everyone talks about it. Almost no one does it right.

    Relevance wins. Always. This is how we use segmentation as a revenue system - not as a feature.

    2026-04-10·Daniek Doddema
    Segmentation in email marketing: everyone talks about it. Almost no one does it right.

    Summary

    • 1Segmentation is preached everywhere - but execution is weak
    • 2One-size-fits-all emails cost you revenue and engagement
    • 3Real segmentation revolves around behavior, buying phase, customer value and timing
    • 4AI makes it possible: smarter timing, better predictions, higher relevance
    • 5Segmentation isn't a feature. It's where your profit lives.

    The problem

    Everyone talks about segmentation. Every email platform offers it. Every marketer knows it's important. But look at practice. Most brands still send the same email to their entire list. Maybe there's a 'VIP' segment. Maybe a 'new vs. existing' split. But real segmentation - by behavior, by buying phase, by product interest, by engagement? That's missing. The result: lower open rates, lower click rates, more unsubscribes. And worst of all: you're leaving revenue on the table. Not because your product isn't good, but because your message isn't relevant to the recipient.

    Sound familiar?

    This is what we see at almost every brand before we start:

    • You send the same email to your entire list
    • You have a 'VIP' segment but it's not defined by data
    • Open rates and click rates are declining
    • Unsubscribes are increasing
    • You don't know which customers view which products
    • You segment by demographics instead of behavior

    What goes wrong

    • Seeing segmentation as 'nice to have' instead of a revenue system
    • Only segmenting based on demographics or purchase history
    • Not using browse behavior and click data
    • Everyone the same frequency - including inactive profiles
    • No personalization based on product interest
    • Setting up segmentation once and never adjusting
    • Ignoring timing - everyone gets the email at the same time

    Approach

    Segmentation isn't a feature. It's where your profit lives.

    01

    Behavioral segmentation

    What someone views, where they click, which pages they visit - that tells more than which city they live in. We segment by browse behavior, click patterns and engagement level. Someone who looks at the same category three times gets a different email than someone who briefly scans the homepage.

    • Segmentation on views, clicks and browse patterns
    • Engagement level as filter for frequency
    • Dynamic content based on interest
    02

    Buying phase & customer value

    A new customer needs a different message than a VIP. Someone who just made their first purchase vs. someone who already ordered five times. We segment by customer value (total spend), purchase frequency and buying phase. VIPs get early access. New customers get education and trust.

    • Segments: new, active, loyal, VIP, inactive
    • Communication aligned per buying phase
    • VIP treatment for top 10% customers
    03

    Product interest: 'complete the look'

    This is where segmentation gets really powerful. Someone buys a black sneaker at ETQ? We send a flow with matching black clothing and accessories. Not random products - but a complete look based on product, color and type. At TOV it works similarly: bought a gold necklace? Matching ring and earrings. This doesn't feel like marketing. This feels like service.

    • Complete the look based on product, color, type
    • ETQ: black sneaker to black clothing and accessories
    • TOV: necklace to ring to earrings
    • Feels like service, not marketing
    04

    AI-powered segmentation

    AI makes segmentation smarter. Predictive analytics predict when a customer is ready for their next purchase. Smart send time optimizes the sending moment per individual profile. And AI-powered product recommendations become more relevant as more data comes in. This isn't future music - we're already running this on our own brands.

    • Predictive analytics for next purchase timing
    • Smart send time per individual profile
    • AI-powered product recommendations
    • Continuously learn and improve based on data

    Result

    Relevance wins. Always. Higher open rates, higher click rates, more revenue per email - structurally.

    ~40%

    Revenue from email at ETQ

    2-3x

    Higher click rates with segmentation

    AI

    Predictive analytics for timing

    24/7

    Segmentation runs automatically

    What this means for you

    You don't need to be a data scientist. If you sell online and have customers, you can start with smarter segmentation today. The question isn't whether you can - but whether you do.

    • You send everyone the same email
    • Your open rates and click rates are declining
    • You have no idea which products your customers view
    • You segment by demographics instead of behavior
    • You want to use email as a serious revenue channel
    • You're looking for a partner that applies segmentation daily

    Who we are

    We build brands ourselves. And use that knowledge to scale others.

    This isn't theory. This is execution experience. We run multiple brands ourselves - and apply the exact same systems for our clients.

    We build and scale our own brands

    Results across industries - from fashion to real estate

    We deploy the same systems for clients

    Small team, big impact - no overhead

    Dion
    Enrico

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