At a glance
A composite health score for the Mailchimp programme, weighted across six sub-metrics: delivery rate, open rate (MPP-adjusted), click-to-open rate, conversion rate, bounce rate (inverted), and unsubscribe rate (inverted). Designed for executive read so that “is the email programme healthy” can be answered with a single number rather than six. Scores below 60 indicate something needs attention; scores above 80 indicate a well-tuned programme; scores between 60-80 are normal operating range. The composite is more robust than any single sub-metric to distortion from Apple Mail Privacy Protection or to short-term campaign-level noise.
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 UK-based beauty brand on Shopify running Mailchimp Standard with a 95,000-contact main Audience. Snapshot for the 30-day window ending Wednesday 15 May 26.
What the per-sub-metric view is telling us:
- The composite score of 61.5 is in the lower-normal range (60-80 normal operating). Not red, but not strong; specifically pointing at conversion rate and unsubscribe rate as the two drag factors. The headline figure tells the right story; the sub-metric decomposition tells the fix.
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Conversion rate at 1.4 percent is the load-bearing problem. It is below the e-commerce benchmark band (1.5-3.5 percent) and carries a 0.20 weight, so a 0.5 percentage point lift would add roughly 6 points to the composite. Investigate: (a) are the right segments receiving the right campaigns? Use
mc_segments_overviewto check segment-to-campaign matching; (b) is the offer mix appropriate? Beauty brands often over-rely on percentage-discount offers when free-gift-with-purchase or first-purchase-bundle offers convert better; (c) is the cart-and-checkout flow working for email-driven traffic? Pair with Shopify’s email-attributed conversion rate for the commerce-side view. -
Unsubscribe rate at 0.8 percent is above the healthy band and carries a 0.10 weight, so a reduction to 0.4 percent would add ~3-4 points. Investigate: (a) is send frequency too high? 8+ sends/month in beauty often triggers fatigue; consider a frequency cap survey or auto-pause for users showing fatigue signals; (b) are the unsubscribes concentrated in specific campaigns? The
mc_top_campaigns_revenuecard combined with unsubscribe attribution surfaces which sends are burning the list; (c) is the audience-acquisition channel mix shifting? Paid-social-acquired subscribers churn at 2-3x the rate of organic-search-acquired subscribers. - Open rate post-MPP at 27.8 percent is healthy. This is the MPP-adjusted figure (raw open rate is likely 38-42 percent before adjustment). The MPP adjustment is what makes this metric trustworthy for executive reporting; reporting raw open rate would tell a misleadingly positive story about engagement.
- CTOR at 14.2 percent is in band. This is the most MPP-resilient engagement signal and the most reliable indicator of content effectiveness. A 14.2 percent CTOR means roughly 14 percent of openers clicked something; healthy beauty programmes typically run 12-18 percent. The current programme is doing decent content-engagement work.
- Delivery rate at 98.4 percent and bounce rate at 1.6 percent are both healthy. Sender reputation is in good standing; deliverability infrastructure is working. The problems concentrate in conversion (commercial) and unsubscribe (audience-fatigue), not in deliverability.
- Recommended action priorities based on score-impact: (1) Lift conversion rate from 1.4% to 1.8% via offer-mix and segment-matching work, biggest single improvement available, ~6 points to composite; (2) Reduce unsubscribe rate from 0.8% to 0.5% via frequency-cap testing and fatigue-aware send-pacing, second-biggest improvement, ~3-4 points; (3) Maintain delivery and bounce performance; both are healthy and degradation here would compound the conversion issues.
- Identify the dragging sub-metric. The composite always has a load-bearing weak point; surface it first.
- Cross-reference with
mai_engagement_funnelfor the funnel decomposition: where in Sent → Delivered → Opened → Clicked → Converted is the funnel breaking. - Check
mc_alert_deliverability_dropandmc_alert_sender_reputation. Deliverability incidents cascade through the entire composite; fixing them recovers multiple sub-scores at once. - Pair with
mai_revenue_per_recipientfor the commercial check. A degrading composite with stable RPR suggests the score is over-reacting to non-revenue-affecting changes; a degrading composite with degrading RPR confirms the programme is genuinely under-performing. - For multi-Audience accounts, check audience-level scores. Different Audiences may score differently; a single low-scoring Audience can drag the blended figure even when most Audiences are healthy.
Sibling cards merchants should reference together
Reconciling against the vendor’s own dashboard
Where to look in Mailchimp’s own dashboard:- Mailchimp → Reports → All campaigns for the per-campaign sub-metric values that aggregate into the composite. Each campaign report has Open rate, Click rate, CTOR, bounce rate, unsubscribe rate, and revenue figures; aggregating these manually approximates the composite calculation.
- Mailchimp → Audience → All contacts → Engagement for the audience-level engagement breakdown.
- Mailchimp → Account → Pricing for the contact-tier billing context that affects how the audience-size dimension feeds into programme economics.
Cross-connector reconciliation:
Quick rule for support tickets: the composite score is a derived metric and not directly comparable to a single Mailchimp UI number. When merchants ask “why does Mailchimp show 30 percent open rate but your card score is only 65”, explain that the score weights six sub-metrics together; healthy open rate alone cannot lift the composite when other sub-metrics are weak. Pointing the merchant at the sub-metric decomposition in the worked example surfaces what is actually dragging the score down.
Known limitations / merchant FAQs
My score dropped 15 points overnight. What happened? A 15-point drop in a single 30-day-rolling composite is large; it usually concentrates in 1-2 sub-metrics rather than degrading uniformly. Possibilities, in order of likelihood. (1) Deliverability incident: a sudden bounce-rate spike, sender-reputation drop, or blocklist appearance can cascade through delivery, open, CTOR, and conversion sub-scores simultaneously. Checkmc_alert_deliverability_drop. (2) List import: a major list import added many low-engagement or invalid addresses, dropping bounce rate and engagement metrics for the next 30 days. (3) Send-frequency change: increasing send cadence often raises unsubscribe rate sharply, dragging the unsubscribe sub-score down. (4) Conversion tracking break: the Mailchimp-Shopify (or other) e-commerce integration disconnected, dropping conversion rate to zero. (5) Industry benchmark refresh: Mailchimp updates published benchmarks annually; a benchmark refresh can shift sub-scores even when the underlying performance is unchanged.
Why does the composite weight conversion rate at only 20 percent? Isn’t revenue the goal?
Conversion rate is the single highest-weighted sub-metric (tied with delivery and CTOR at 20 percent). Revenue is the goal but the composite is designed to reflect programme health not programme outcome. Conversion rate alone is a noisy single-period number that can move 30-50 percent week-over-week based on offer mix, holiday calendar, and product launches. The composite is more robust because the engagement sub-metrics (delivery, open, CTOR, bounce, unsubscribe) are slower-moving and reflect underlying programme quality. Brands wanting a pure-revenue view should pair this composite with mai_revenue_per_recipient for the commercial outcome dimension.
My score is 75 but my CEO says email contribution to revenue is flat. Are these consistent?
Possibly yes. A healthy 75 composite score reflects “the email programme is well-tuned for its current size and configuration”; revenue contribution depends on scale (audience size × per-recipient revenue) and share of total (email’s portion of total acquisition mix). A small audience can run an excellently-tuned programme (high composite) but contribute small absolute revenue. The pair to look at is composite + audience growth + revenue-per-recipient: a healthy composite with stagnant audience and stable RPR predicts flat email contribution.
The MPP adjustment looks aggressive. Can I disable it?
Yes; the mpp_adjustment_pct configuration parameter sets the assumed inflation. Default is 30 percent of audience uses Apple Mail, scaled to a 10-25 percentage-point open-rate adjustment. Brands that know their audience’s Apple Mail share precisely (via account-level analysis or third-party tools) can override the default. Setting mpp_adjustment_pct = 0 returns raw open rates, which makes year-over-year comparison difficult (pre-September-2021 data is genuinely from a non-MPP world; post-September-2021 data is MPP-inflated). The default adjustment is a pragmatic compromise.
Should I optimise for the composite score or for revenue?
Optimise for revenue; track composite for health monitoring. The composite is a leading indicator of programme sustainability; revenue is the lagging indicator of programme effectiveness. Brands optimising for composite alone often over-engineer engagement (cute subject lines, fewer emails, light offers) and under-deliver revenue. Brands optimising for revenue alone often burn the audience (heavy promotion, high frequency, manipulative subject lines) and degrade the long-term composite. The two together prevent either bias.
What’s a good target composite score for my industry?
Top decile across e-commerce verticals is typically 80+; healthy normal operating is 65-79; warning is 50-64; critical is below 50. The targets vary by industry: B2B brands typically run lower composites (50-70 healthy) because the funnel is longer and conversion rates are structurally lower; consumer impulse-buy verticals (fashion, beauty, food) often run higher (70-85 healthy). The Mailchimp account’s vertical setting drives the benchmark band the sub-scores are normalised against.
Why is unsubscribe rate weighted only 10 percent?
Unsubscribe is the most volatile sub-metric (a single bad send can spike unsubscribe rate dramatically), and the spike often does not reflect long-term programme health. The 10 percent weight prevents short-term noise from dominating the composite while still rewarding programmes that maintain healthy unsubscribe rates over time. Brands experiencing sustained unsubscribe spikes (3+ months) will see the composite move meaningfully because the sustained pattern flows through; brands experiencing single-send unsubscribe spikes will see only minor composite movement, which is the correct behaviour.
Can Vortex IQ change my Mailchimp send cadence or content?
Read-only by design. Vortex IQ surfaces health composite trends, identifies dragging sub-metrics, and flags optimisation opportunities; the merchant’s marketing team executes inside Mailchimp. The Vortex Mind Customer Recovery Opportunity report generates merchant-side Actions when composite degradation patterns suggest specific fixes, but the configuration changes themselves sit with the merchant.
Is the composite score comparable across ESPs?
Approximately. The same 6-sub-metric weighted-composite calculation runs across Mailchimp, Klaviyo, Brevo, Omnisend, and other email connectors. The weights and methodology are consistent; the underlying ESPs have different default attribution windows, MPP-handling defaults, and benchmark sources, which create 5-15 point methodological gaps. For evaluating ESP migration, compare composites alongside the underlying sub-metrics; rely on the sub-metrics for direct apples-to-apples comparison and the composite for the executive-summary read.