How LTV.ai Segments Your Audience
Our AI automatically selects the best segmentation strategy for every campaign. It evaluates campaign context, audience composition, historical performance, data availability, and time of year — then picks from seven proven segmentation types.Seven Segmentation Strategies
Each one changes something different about the email your customers receive.Discount-Based
Identifies who needs a discount to convert vs. who will buy at full price. Protects your margins by only discounting where it matters.
Category Affinity
Segments by what customers buy — pants, tops, accessories, home decor. Each segment gets tailored copy, products, and links automatically.
Location-Based
Tailors messaging based on where customers are. Local events, regional trends, city-specific hooks.
Weather-Based
Real-time weather data triggers contextual variants. Sells what makes sense for each customer’s forecast.
Purchase Frequency
Knows the difference between a one-time buyer and a loyal repeat customer. New buyers get convinced, VIPs get recognized.
AOV Tier
Matches product recommendations to spending level. High spenders see premium pieces, value shoppers see entry points.
Gifters vs. Self-Buyers
Detects whether customers buy for themselves or others based on purchase patterns. Gift buyers get “they’ll love this” framing, self-purchasers get “treat yourself.”
How the AI Picks the Right Strategy
The AI presents its top 3 recommendations ranked by predicted performance. You can go with the top pick, override to an alternative, or skip segmentation entirely and send the same email to everyone. The model factors in:- Campaign context — what you’re promoting and why
- Audience composition — who’s in the list and what they have in common
- Historical performance — what’s worked before for similar campaigns
- Data availability — what customer data points are available to segment on
- Time of year — because discount segmentation doesn’t make sense during BFCM, and gift-buyer segmentation matters most in November and December
Custom Segmentation
On top of the seven built-in strategies, you can create custom segments using any combination of:Purchase Behavior
- Total spend (e.g., spent more than $200)
- Number of orders (e.g., 3+ orders)
- Last purchase date (e.g., within the last 60 days)
- Average order value
- Specific products or collections purchased
Engagement Data
- Email open rate
- Email click rate
- Last email interaction date
- Unsubscribe status
Customer Attributes
- Sign-up date
- Location
- Customer tags (synced from Shopify)
Segment Performance
Track how each segment responds to your campaigns in Analytics > Segments:| Metric | Description |
|---|---|
| Segment Size | Number of customers currently in the segment |
| Open Rate | Average email open rate for the segment |
| Click Rate | Average click rate |
| Conversion Rate | Purchase rate after clicking |
| Revenue per Customer | Average revenue attributed per customer |