Average of Mailchimp’s per-member engagement star rating across all subscribed members. Below 3 = list quality declining; re-engagement campaign overdue.
At a glance
The average of Mailchimp’s own per-member engagement rating across all subscribed members. Mailchimp assigns each contact a star rating on a 1-to-5 scale based on how recently and how often they open and click; this card rolls that rating up into a single list-level average. It is the cleanest single read on list quality Mailchimp gives you. A high average means most of your contacts are genuinely engaged and your sends will perform; a low or falling average means the list is filling with dead weight, contacts who no longer open, who depress your aggregate open and click rates, who teach mailbox providers to filter you, and who you may still be paying for on a contact-tier plan. Below an average of 3, the list is materially diluted and a re-engagement-or-suppress pass is overdue. The score is a leading indicator: it drifts down before deliverability and revenue follow.
| What it counts | The arithmetic mean of Mailchimp’s per-member star rating (1 to 5) across all currently subscribed members. A value of 5 means uniformly highly-engaged; a value of 1 means uniformly disengaged. Typical healthy lists sit in the 3-to-4 band. |
| Why it matters | List quality is the input to everything downstream. Open rate, click rate, inbox placement, and conversion all depend on sending to people who want the mail. The engagement-score average is the earliest, most direct measure of whether that underlying quality is holding or eroding. |
| Why it leads, not lags | A contact’s star rating falls before they unsubscribe or get cleaned. So the average drifts down while open and click rates still look acceptable on a blended basis. By the time aggregate engagement metrics visibly sag, the score has been warning for weeks. |
| What drags it down | (1) List growth from low-quality sources (paid-social leads, contest entries, scraped lists) that never engage. (2) Send fatigue, over-mailing pushes engaged contacts down the rating. (3) An ageing list with no suppression discipline, dormant contacts accumulate. (4) Content-audience drift, the programme stopped matching what the list signed up for. |
| Currency | n/a, this is a 1-to-5 score. The revenue consequence of declining quality surfaces in revenue-per-recipient and email-attributed-revenue. |
| Time window | RT (real-time). Reflects the current per-member ratings as Mailchimp maintains them; read the trend across syncs to see drift. |
| Alert trigger | < 3 (list-quality drift). Below 3 the list is materially diluted and a re-engagement or suppression pass is warranted. |
| Sentiment key | mc_member_engagement_avg |
| Roles | owner, marketing |
Calculation
Calculated automatically from your Mailchimp data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading.Worked example
A pet-supplies brand on Shopify running Mailchimp Standard with a 60,000-contact main audience. Two snapshots three months apart, plus the rating distribution at the later date.| Date | Subscribed members | Avg engagement score | vs prior snapshot |
|---|---|---|---|
| Saturday 15 Mar 26 | 48,000 | 3.6 | baseline |
| Monday 15 Jun 26 | 60,000 | 2.9 | -0.7 |
| Star rating | Members | Share |
|---|---|---|
| 5 stars | 7,800 | 13% |
| 4 stars | 12,600 | 21% |
| 3 stars | 13,200 | 22% |
| 2 stars | 15,000 | 25% |
| 1 star | 11,400 | 19% |
- The average fell from 3.6 to 2.9 and is now below the 3.0 alert threshold. The list crossed from “healthy” into “materially diluted” over a single quarter. That is a fast slide and points at a specific cause, not gradual ageing.
-
The cause is almost certainly the 12,000-contact growth. The list grew 25 percent (48k to 60k) while the average dropped 0.7. New contacts enter at a low rating until they engage; a large, fast intake of low-quality contacts mechanically drags the average down. Investigate the acquisition source: if those 12,000 came from a contest, a paid-social lead form, or a bulk import, they are likely the dead weight. Cross-reference
net-audience-growth-30dto confirm the intake timing. - 44 percent of the list is now 1 or 2 stars. That is the actionable problem. Nearly half the audience is disengaged, depressing every blended metric and harming inbox placement. Action: build a re-engagement segment of the 1-and-2-star contacts and run a win-back series; suppress those who still do not engage. This both lifts the average and protects deliverability.
- Only 13 percent are 5-star. A healthy programme usually carries a larger highly-engaged core. The thin 5-star tier suggests the engaged base is being diluted faster than it is being grown, the programme is acquiring volume but not quality.
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The downstream risk. A 2.9 average will, if left unaddressed, pull open rate, click rate, and inbox placement down over the coming weeks, that is the leading-indicator nature of this score. Acting now (re-engage and suppress) is far cheaper than recovering deliverability after the harder symptoms appear. Cross-reference
inbox-placement-rate-deliverabilityas the canary.
- Check whether a growth spike caused it. A large recent intake of low-rated contacts is the most common cause; confirm the timing and source against the growth card.
- Pull the rating distribution. The average hides the shape; a list that is bimodal (lots of 5s and lots of 1s) needs different treatment from one that is uniformly mediocre.
- Build a re-engagement segment. Target the 1-and-2-star contacts with a short win-back series before suppressing.
- Suppress the non-responders. Contacts who ignore the win-back are dead weight, suppress them to lift the average and protect deliverability (and, on contact-tier plans, to stop paying for them).
- Audit the acquisition source. If a specific channel is feeding low-quality contacts, fix the intake, otherwise the average will sag again after the next cleanse.
| Time horizon | Action |
|---|---|
| First day | Pull the rating distribution and confirm whether a growth spike or send-fatigue pattern caused the drop. |
| First week | Launch a re-engagement series targeting the lowest-rated tier; identify the acquisition source feeding low-quality contacts. |
| First month | Suppress non-responders; measure the average back upward; fix the intake channel so the gain holds. |
| Ongoing | Treat the score as a quarterly list-hygiene gate; let it fall below 3 only as a deliberate, monitored choice, not by neglect. |
Sibling cards merchants should reference together
| Card | Why merchants reach for it |
|---|---|
list-health-summary | The broader list-quality rollup. Engagement score is the single sharpest input to overall list health. |
net-audience-growth-30d | Where a fast low-quality intake shows up. A growth spike with a falling engagement score means you grew the wrong contacts. |
inbox-placement-rate-deliverability | The deliverability consequence of declining quality. A falling engagement score precedes a placement drop. |
suppressed-cleaned-members | The cleanup side of the equation. Suppressing dead weight lifts the engagement average. |
email-open-rate | The aggregate engagement metric the score leads. Opens sag after the score does. |
email-click-rate | The deeper engagement signal feeding the per-member rating. |
unsubscribe-rate | Over-mailing pushes ratings down and unsubscribes up together; read alongside. |
segments-overview | Use to build the re-engagement segment from the lowest-rated tier. |
Reconciling against Mailchimp
Where to look in Mailchimp’s own dashboard:- Mailchimp → Audience → All contacts and sort or filter by the star rating column to see the per-member ratings this average rolls up.
- Mailchimp → Audience → Segments, create a segment on rating (for example, members rated 1 or 2 stars) to size the disengaged tier directly.
- Mailchimp → Audience → Audience dashboard for the engagement overview that gives the qualitative read behind the score.
| Reason | Direction | What to do |
|---|---|---|
| No native single average. Mailchimp shows per-member stars and segment counts, not one list average. | Not directly comparable | Segment by rating, count each tier, and weight-average to reproduce the figure. |
| Subscribed-only scope. This card averages currently subscribed members; Mailchimp’s contact views can include unsubscribed and cleaned contacts depending on the filter. | Vortex IQ may read higher | Apply a subscribed-status filter in Mailchimp before comparing. |
| Multi-audience accounts. The card blends across audiences; Mailchimp shows ratings per audience. | Either direction | Compare per-audience first, then blend by member count to match the Vortex IQ blend. |
| Rating recency. Mailchimp updates a member’s rating as they engage; recent activity may not yet be reflected at the moment of comparison. | Either direction | Allow for Mailchimp’s own rating-update cadence; very recent opens may not have moved the rating yet. |
| Refresh lag. The average recalculates each sync; Mailchimp ratings update continuously. | Vortex IQ moves slowly | Wait for the next sync; check last_synced_at. |
Known limitations / merchant FAQs
My score dropped but my open rates look fine. Which do I trust? Trust the score as the earlier warning. The engagement average is a leading indicator: a contact’s rating falls before their disengagement shows up in your blended open and click rates. A falling score with stable open rates means the dilution is underway but has not yet dragged the aggregate metrics down, which is exactly the window in which acting (re-engage and suppress) is cheapest. By the time open rates visibly sag, you have lost weeks. A big list import tanked my score. Did I do something wrong? You did something with a predictable consequence. New contacts enter at a low rating until they engage, so any large intake mechanically drags the average down for a while. Whether it was a mistake depends on the source. A clean import of genuinely interested contacts will recover as they engage; an import of low-quality or unconsented contacts will stay low and harm deliverability. Audit the source: if the new contacts never engage over the next few sends, suppress them. Should I just delete everyone below 3 stars? Not immediately, run a re-engagement series first. A 2-star contact may be winnable; a win-back send gives them a last chance to re-engage. Those who still ignore it are genuine dead weight and should be suppressed (which both lifts the average and protects deliverability, and on contact-tier plans stops you paying for them). Deleting wholesale without a re-engagement attempt throws away recoverable contacts. Is a higher score always better? Mostly, but be aware of how you got there. A score that rose because you suppressed dead weight and re-engaged dormant contacts is genuine improvement. A score that rose only because you stopped acquiring new contacts (no new low-rated entrants) can mask a stagnating list, the quality looks better but the list is shrinking. Read this card alongsidenet-audience-growth-30d so a quality gain is not hiding a growth problem.
Does Apple Mail Privacy Protection inflate this score?
It can nudge it. MPP auto-opens register as engagement, which can lift the open-driven component of a member’s rating even when they are not genuinely reading. The click component is unaffected by MPP, so a member who opens (possibly via MPP) but never clicks will not rate as highly as one who clicks. The score is more MPP-resilient than raw open rate, but for the cleanest quality read, weight click behaviour and pair with top-email-clients-open-distribution to keep the Apple share in view.
Can Vortex IQ run the re-engagement campaign for me?
No. Vortex IQ is read-only by design. It surfaces the declining score, sizes the disengaged tier, and recommends a re-engage-then-suppress approach; building the segment and running the series happens in Mailchimp by the merchant’s team. The Vortex Mind Customer Recovery Opportunity report can raise a merchant-side Action describing the recommended cleanup, but the execution stays with the merchant.