Definition
An email attention score is a computed value that estimates the level of attention a subscriber gives to your emails. It typically combines several signals — how recently and often they engage, whether they open, click, reply or ignore — into a single number.
The score helps you prioritise the list. High-attention subscribers are worth the most; low-attention subscribers may need re-engagement or tempering. Attention scoring turns raw metric noise into a usable picture of who is listening.
Common Signals in an Attention Score
| Signal | What It Shows |
|---|---|
| Recency | How recently the subscriber engaged |
| Frequency | How often they open or click |
| Depth | Whether they open, click or reply |
| Consistency | Whether engagement is steady |
| Decline | Whether engagement is falling |
Each contributes to the final score.
What Attention Scores Reveal
- High-attention segments: Your most valuable, responsive subscribers.
- Lapsing subscribers: People whose attention is fading.
- Cold segments: Subscribers who rarely or never engage.
- Priority for sends: Who deserves the highest-value mail.
How to Use an Attention Score
- Segment by score: Group subscribers by attention level.
- Send proportional value: Put the best offers before the most attentive.
- Plan re-engagement: Target lapsing subscribers before they go cold.
- Temper low scores: Remove or quarantine addresses with little attention.
Related Glossary Terms
A/B Testing
A/B testing in email marketing is the practice of sending two variations of an email to a small sample of your list to determine which version performs better before sending the winner to the remaining subscribers.
Abandoned Cart Email
An abandoned cart email is an automated message sent to customers who added items to their online shopping cart but left without completing the purchase. It is one of the highest-converting email types in ecommerce.
Abuse Complaint
An abuse complaint is a report from a recipient who marks an email as spam, which negatively affects sender reputation and deliverability.
AI Email Summary
An AI email summary is a short, machine-generated overview of an email's key points, shown by Gmail, Outlook and Apple Mail before a recipient opens the message. It is reshaping how email marketers think about subject lines, preview text and open rates.
ARPU (Average Revenue Per User)
ARPU (Average Revenue Per User) is a metric that measures the average revenue generated per email subscriber over a specific period, used to evaluate list value and campaign effectiveness.
Attention Rate
Attention rate is the percentage of email opens that last longer than 5 seconds, distinguishing genuine reads from passive opens, preview-pane views, or Apple MPP auto-loads.
Frequently Asked Questions
An attention score is a derived measure estimating how much attention a subscriber gives your email, combining signals such as recency, frequency and depth of engagement into a single estimate of attentiveness.
Scoring condenses many separate metrics into one usable number, so you can see at a glance who is engaged, who is lapsing and who is cold. That focus helps you prioritise sends, plan re-engagement and temper the list well.
Recency shows how recently a subscriber engaged; frequency how often they do; depth whether they merely open, click or actively reply. Consistency and decline show whether that attention is steady or fading. Together they estimate real interest.
Group subscribers into tiers, then send the most valuable content to the highest-attention groups, run re-engagement on lapsing ones, and temper or suppress the lowest-scoring addresses. This keeps focus on the people who care most.