How to automate audience segmentation in Mailchimp

Quick Answer: Mailchimp automates audience segmentation using tags (applied manually or via automation), groups (subscriber-selected preferences), and segments (dynamic filters based on behavior and profile data). Go to Audience > Segments > "Create Segment" and build conditions using purchase history, email engagement, or demographic data.

How to Automate Audience Segmentation in Mailchimp

Mailchimp provides three segmentation tools: tags (labels applied to contacts), groups (subscriber-chosen preferences), and segments (dynamic filter-based lists). As of April 2026, basic segmentation is available on all plans; advanced segmentation (combining multiple conditions with nested AND/OR logic) requires Standard ($13.99/month for 500 contacts) or above.

Segmentation Methods

Tags (Manual or Automated)

Tags are labels applied to contacts for categorization. Apply tags automatically using:

  • Customer Journeys: Add a tag action in any journey step (e.g., after opening 5 emails, tag as "Engaged")
  • Signup forms: Map form fields to tags so subscribers self-categorize at signup
  • Zapier/Make: Apply tags from external events (purchase, form submission, CRM update)
  • E-commerce sync: Shopify/WooCommerce purchase data automatically tags buyers by product category

Groups (Subscriber Preferences)

Groups let subscribers choose their interests on signup forms or preference centers. Example groups: "Product Updates," "Industry News," "Weekly Deals." Use groups to let subscribers control which emails they receive.

Segments (Dynamic Filters)

Segments are dynamic lists that update automatically as contacts match conditions:

  1. Go to Audience > Segments > "Create Segment"
  2. Build conditions using:
    • Email engagement: Opened/clicked in last 30 days, never opened, unsubscribed
    • Purchase behavior: Bought product X, spent over $100, purchased in last 90 days
    • Profile data: Location, signup date, birthday month, custom merge fields
    • Campaign activity: Clicked specific link, received specific campaign

Automation-Driven Segmentation Workflow

Step 1: Define Engagement Tiers

  • Active: Opened or clicked in last 30 days
  • Lapsed: No opens in 31-90 days
  • Inactive: No opens in 90+ days

Step 2: Create Customer Journeys per Tier

  • Active segment → Continue regular newsletter cadence
  • Lapsed segment → Enroll in re-engagement series (3 emails over 2 weeks)
  • Inactive segment → Send final "We miss you" email → If no open, remove tag "Active" and add tag "Sunset"

Step 3: Purchase-Based Segmentation

  • First-time buyers → Welcome series with product education
  • Repeat buyers (3+ purchases) → VIP segment with early access offers
  • Cart abandoners → Retargeting segment for recovery emails

Predicted Demographics (Standard Plan)

Mailchimp's predictive analytics auto-segments contacts by:

  • Predicted gender: Based on first name analysis
  • Predicted age range: Based on behavioral signals
  • Purchase likelihood: Predicted probability of next purchase

Practical Example: Ecommerce Store

Segment Conditions Campaign Type
New subscribers Signed up in last 7 days Welcome series
VIP customers Total spent > $500 Exclusive offers
Cart abandoners Started checkout, no purchase Recovery email
Lapsed buyers Last purchase > 90 days ago Winback campaign
Product interest Clicked category X links Targeted product launch

Limits (April 2026)

  • Free plan: Basic segments with up to 5 conditions
  • Essentials ($13/month): All segment types, no nested logic
  • Standard ($13.99/month): Advanced segments with nested AND/OR logic
  • Premium ($350/month): Unlimited segments with comparative reporting

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Last updated: | By Rafal Fila

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