Our customer analytics services turn your Shopify data into AI segments you can use in email, ads and on-site, from best customers to people about to churn. Target the right customers with the right message at the right time. We build AI-powered customer segments using purchase history, LTV predictions and behavior data that make every marketing campaign more effective.
Your top 20% of customers typically generate 80% of revenue. Sending the same email campaign to a first-time buyer and a loyal customer who has purchased 10 times wastes budget and erodes relationships. AI customer segmentation identifies who your best customers are, predicts who is about to churn and lets you market to each segment intelligently.
We analyze customer data from Shopify, your email platform and ads in four steps:
Orders, customers and email data combined in one view.
RFM, predicted lifetime value and churn-risk segments built.
Segments synced to Klaviyo, Meta and Google.
Revenue per segment tracked monthly.
| Segment | How it is built | Used for |
|---|---|---|
| Champions | Recent, frequent, high-spend buyers | Early access and VIP offers |
| At risk | Good customers who have stopped buying | Win-back emails |
| High predicted LTV | AI prediction from first orders | Higher ad bids, better onboarding |
| One-time buyers | One order, not recent | Second-purchase offers |
Target consumer segments like these perform better than one message to everyone. Persona segmentation adds who customers are; RFM adds how they buy.
A static segment is a fixed list. A smart segment updates itself as customers buy or stop buying. We use smart segments for almost everything, so your campaigns always reach the right people.
Personalization vs segmentation: segmentation groups customers; personalization changes what each person sees. You need segments first. AI in email segmentation, such as predicted next order date, makes both sharper. Good segmentation solutions combine both.
Segments are only useful where you use them. We sync them to Klaviyo, Meta and Google, so the same groups drive email, ads and retargeting. A retargeting segmentation strategy that excludes recent buyers saves ad spend straight away.
We work with the customer analytics tools and customer insights tools you already have, from Shopify and Klaviyo to a full customer analytics platform. Email segmentation tools like Klaviyo do most of the work once segments are set up. For the rest of our AI work, see AI solutions for ecommerce.
Priced by data sources and the number of segments and syncs. We quote after a free data review.
RFM segmentation plus email setup
/month
Full segmentation plus campaign management
/month
Enterprise AI segmentation program
/month
Tell us about your store and goals. We reply within 24 hours with a tailored proposal.
RFM stands for Recency (how recently a customer bought), Frequency (how often they buy) and Monetary (how much they spend). Customers are scored on each dimension and grouped into segments. High RFM customers are your best. Low recency, low frequency customers are at risk of churning.
Klaviyo analyses historical purchase patterns for each customer and predicts their expected revenue over the next 12 months. This allows you to identify which customers are likely to spend significantly more and prioritize them for retention and upsell campaigns.
Yes. High-LTV customer segments exported from Shopify or Klaviyo and uploaded to Meta Ads as a Custom Audience. Meta then finds similar people (lookalike audiences) who are statistically likely to share the same high-value purchase behavior.
Start with five: new customers (first purchase), loyal customers (2+ purchases), VIPs (top 10% by LTV), at-risk customers (no purchase in 90+ days) and lapsed customers (no purchase in 180+ days). These five segments serve 80% of retention marketing needs.
Klaviyo and Shopify Audiences update segments automatically as customer behavior changes. Manual review of segment definitions: quarterly. Full RFM model recalibration: annually or after significant business changes.
Grouping customers using AI predictions, such as likely lifetime value or churn risk, as well as past behavior, so each group gets the right message.
Shopify's customer segments let you filter by orders, spend and location. For predictive segments, use your email platform's AI features or a customer analytics tool.
Segmentation groups similar customers. Personalization tailors what each customer sees, often using those segments.