Profile

A single record for each contact containing all known information and activity history.

1 min readLast updated Apr 2026
Reviewed by Golden Digital·Operator-reviewed ecommerce reference

A single record for each contact containing all known information and activity history.

Why It Matters

Profiles are the foundation of personalization. A rich profile enables targeting by purchase history, browse behavior, engagement level, preferences, and predicted lifetime value. The more profile data you collect and unify, the more relevant your messaging becomes.

Practical Example

Scenario

A pet food brand's profile includes: pet type, pet age, previous purchases, browse history, email engagement, predicted reorder date, and preferred product size.

Calculation

Each data point enables more personalized messaging

Result

They send dog owners dog content, predict when food will run out, and recommend size-appropriate products—resulting in 45% higher click rates than generic emails.

Pro Tips

  • 1Collect preference data progressively—ask one question at a time, not long surveys
  • 2Sync purchase data from your ecommerce platform to enrich profiles automatically
  • 3Use browse behavior for targeting—someone viewing a product 3x is highly interested
  • 4Calculate and store custom profile properties like predicted LTV or purchase frequency

Common Mistakes to Avoid

Not syncing ecommerce data, leaving profiles with only email engagement
Asking for too much information upfront, causing form abandonment
Not cleaning profile data—outdated preferences can hurt personalization

Frequently asked questions

Purchase history (what and when), browse behavior (recent product views), engagement recency (last email opened), and explicit preferences (product interests, communication frequency).

Progressive profiling: post-purchase surveys (1-2 questions), preference centers, quiz-style popups, and automatic syncing from browse/purchase behavior. Don't ask—infer when possible.

Put it to work

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