Definition
Subscriber intent is the inferred purpose or motivation driving a subscriber's behaviour at any given moment. Understanding intent helps email marketers determine what content, offers, and timing will be most relevant to each subscriber based on their current needs and goals.
Intent can be explicitly stated (signup reason, preference centre selections) or implicitly inferred from behaviour (browsing specific categories, repeatedly opening certain email types).
Types of Intent
| Intent Type | Description | Signals | Best Email Response |
|---|---|---|---|
| Purchase intent | Ready to buy | Cart abandonment, product page visits, price checks | Offer, discount, urgency |
| Research intent | Gathering information | Content page visits, guide downloads, comparison pages | Educational content, case studies |
| Comparison intent | Evaluating options | Multiple product views, price comparisons | Comparison guides, testimonials |
| Retention intent | Maintaining relationship | Consistent engagement, support visits | Loyalty content, community |
| Re-activation intent | Returning after absence | Re-engagement click, new signup | Welcome back, what's new |
| Exploration intent | Browsing without specific goal | Homepage visits, category browsing | Broad content, discovery |
Inferring Intent from Behaviour
- Signup source: Intent inferred from where and why they subscribed
- Click patterns: Which topics and offers they engage with
- Content consumption: Articles read, guides downloaded
- Purchase history: Past buying categories and frequency
- Browse behaviour: Product and category pages visited
- Email engagement: Which email types drive the most interaction
- Time patterns: Time of day, day of week engagement
Applying Intent Data
- Segment by intent: Group subscribers who share similar intent profiles
- Trigger appropriate automation: Match automation flows to detected intent
- Personalise content: Tailor messaging to subscriber's current intent
- Time communications: Send when intent signals are strongest
- Update intent profiles: Re-evaluate intent as behaviour changes
- Test intent-based targeting: Validate that intent-based personalization improves results
Intent vs Demographics
| Approach | Based On | Strengths | Weaknesses |
|---|---|---|---|
| Demographic targeting | Who they are (age, location, job) | Stable, easy to collect | Static, misses motivation |
| Behavioural targeting | What they do | Dynamic, action-based | Requires data, inference |
| Intent targeting | Why they act | Most relevant, timely | Harder to measure, infer |
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Frequently Asked Questions
Interest is a stable preference ("I like hiking gear"). Intent is a current motivation ("I need hiking boots for next week's trip"). Interest informs what content to send; intent informs when to send it and what offer to make. Intent is more actionable but also more dynamic.
Intent is easiest to measure for subscribers who have clear behavioural signals — cart abandoners, content downloaders, frequent browsers. For new or low-activity subscribers, use intent derived from signup context, source, or stated preferences. Over time, behavioural data builds clearer intent signals.
Cart abandonment is the strongest purchase intent signal — the subscriber has selected specific products and progressed through the purchase funnel. Immediately triggered cart recovery emails targeting this intent consistently achieve the highest conversion rates of any automated email.