Healthy DTC accounts run 30-50% of email revenue through automations. Below 30% means the merchant is hand-blasting newsletters and leaving money on the table.
At a glance
The percentage of total Mailchimp-attributed email revenue that came from automations (Customer Journeys + Classic Automations) vs broadcast campaigns. Computed as SUM(automation_revenue) ÷ (SUM(automation_revenue) + SUM(campaign_revenue)) × 100. Healthy DTC accounts run 30-50% of email revenue through automations. Below 30% means the merchant is hand-blasting newsletters to a list and leaving structural revenue on the table. Mailchimp’s automation depth is materially lighter than Klaviyo’s, so the upper end of “healthy” is lower; aim for 35% on Mailchimp where 50%+ is the Klaviyo benchmark.
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 small DTC pet-supplies brand on Shopify with Mailchimp Standard, three audiences, the merchant blasts weekly broadcast campaigns and runs three Customer Journeys (welcome, abandoned cart, post-purchase). 90D window 02 Feb 26 to 02 May 26.
Five observations:
- The 36.8% figure is healthy for Mailchimp. A Klaviyo merchant would target 50%+; on Mailchimp, 35%+ is the practical ceiling because Mailchimp’s automation depth is lighter (fewer prebuilt recipes, simpler segmentation, 24h attribution vs Klaviyo’s 5-day). Don’t push for 50% on Mailchimp, you’ll be working against the platform.
- Abandoned cart drives 22.6% of total revenue from 8,200 entries. Per-entry, the abandoned-cart automation generates £1.44 in attributed revenue, ~3x the per-send efficiency of broadcast campaigns. This is the canonical Mailchimp automation pattern, abandoned cart > all other automations combined. If your account is below 25% automation share, abandoned cart is the most likely lever.
- The post-purchase upsell at 6.1% is under-performing. Per-entry £0.52 revenue is too low; healthy upsell automations on Mailchimp generate £1-2 per entry. Likely cause: the upsell offer is generic rather than tied to the original purchase. Improve by using Customer Journey conditional logic to recommend complementary SKUs based on the customer’s first order.
- List-based blast vs segmented send efficiency shows up clearly. The weekly newsletter blasts to all 26,000 subscribers regardless of engagement; the 312k sends generated £18,400, or £0.06 per send. The Customer Journey emails average £1-1.50 per send because they target only behavioural triggers. Restructuring 30% of newsletter volume into segmented “engaged 60d” sends typically lifts campaign per-send revenue 2-3x without losing total reach.
- Mailchimp’s automation upside is real but bounded. Even after optimising abandoned cart, post-purchase, and welcome, Mailchimp accounts rarely exceed 45% automation share because there are fewer high-ROI automation types to deploy than on Klaviyo. The diminishing-returns curve flattens around 40-45%; chasing 50% usually means broadcasting less rather than automating more, which can hurt total revenue.
Sibling cards merchants should reference together
The share is the strategic view; pair with these for the operational drilldown:Reconciling against the vendor’s own dashboard
Where to look in Mailchimp’s own dashboard: Mailchimp → Reports → Comparative Reports lets you build a custom report grouping by “Type” (Regular, Automation, A/B). Mailchimp → Customer Journeys shows per-journey revenue per step. Mailchimp’s UI does not have a single “automation share” tile; this is a Vortex IQ-derived metric. Other Mailchimp views that look like the same number but aren’t:- Audience Overview: shows revenue per audience, not per send-type.
- Account → Reports → Top campaigns: ranked campaigns including automations mixed with broadcasts; doesn’t compute the share.
Cross-connector reconciliation:
Automation share is a Mailchimp-internal strategic metric. The most useful cross-reference is: