How can I segment based on email interaction history? (e.g., clicked specific links)
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Your subscribers tell you what they care about every time they click a link. The trick is capturing that signal with enough detail to act on it.
Most ESPs track clicks automatically, but they treat a click on a blog post the same as a click on a product page unless you tag the links differently. That's where UTM parameters come in. Tag each link with a category before it goes into the email. Informational links get one tag, transactional links get another, topic-specific links get their own. Your ESP can then build segments based on which tags someone has clicked and how recently.
In Klaviyo, you'd create a segment like "clicked any link tagged with 'content-deliverability' in the last 90 days." ActiveCampaign and Mailchimp have similar conditions. Check your platform's segment builder for "clicked link containing" or "link tag" options.
Once links are tagged, here's what you can build:
- Topic-interest segments: Subscribers who consistently click your technical articles go into a technical track. Those who click product links go into a commerce track. You're sending what they've already said they want.
- High-engagement VIP group: Subscribers who click in nearly every send are your most valuable readers. They're good candidates for early access, surveys, or direct outreach.
- Reply-based segment: Replies are the strongest engagement signal you can get. Subscribers who email back should be flagged and handled personally, not just dropped into an automated flow.
Layer recency into everything. Someone who clicked last week is a very different subscriber than someone who clicked eight months ago and has been silent since. The second group belongs in a re-engagement sequence, not an active content track. If they've been quiet long enough, they may need to come off active sends entirely to protect your sender reputation.
One important note: since Apple Mail Privacy Protection inflated open rates starting in 2021, click data is far more reliable than open data for segmentation purposes. If you're building segments off opens alone, you're working with noisy signals. Clicks are your ground truth.
If you need help choosing which ESP supports the segment conditions you need, the behavioral segmentation tools guide walks through what to look for.
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