Skip to main content

How AI Builds Your Personas

Updated over 2 months ago

1. Data Analysis

Sources Analyzed:

  • Shopify customer data (orders, demographics, behavior)

  • Meta Ads audience insights

  • Website analytics (if integrated)

  • Past campaign performance

  • Product purchase patterns

AI Identifies:

  • Distinct customer segments

  • Behavioral patterns

  • Purchase correlations

  • Demographic clusters

  • Psychographic similarities

2. Profile Creation

AI Generates:

  • Persona names (e.g., "Budget-Conscious Mom", "Premium Buyer", "Fitness Enthusiast")

  • Detailed characteristic descriptions

  • Key motivators and pain points

  • Ideal messaging angles

  • Recommended platforms and ad formats

3. Insights & Recommendations

For Each Persona:

  • Best messaging approach

  • Recommended ad platforms (Meta, TikTok, Google)

  • Optimal ad formats (video, image, carousel)

  • Best times to reach them

  • Content themes that resonate

  • Offer types that convert

Example Persona Profile:

"Sarah - The Health-Conscious Professional"

  • Age: 28-35

  • Income: $75K-$120K

  • Location: Urban areas

  • Occupation: Corporate professional

  • Pain Points: Limited time, wants convenient healthy options, overwhelmed by conflicting health info

  • Motivations: Long-term health, energy for career, looking good, feeling confident

  • Buying Behavior: Researches thoroughly, willing to pay premium for quality, values convenience, shops on mobile

  • Best Messaging: Efficiency + quality, science-backed claims, time-saving benefits

  • Recommended Platforms: Instagram, LinkedIn, Google Search

  • Ad Formats: Short-form video (Reels), carousel (before/after), educational content

Did this answer your question?