Segmentation and audiences
Predictive customer segmentation for ecommerce
Customer segmentation tools group shoppers so you can treat them differently. Skubl builds segments from predictions as well as history: every customer gets a predicted lifetime value, a churn risk score and audience scores, so you can group shoppers by what they’re likely to do next, not just what they did last year.
Segments feed straight into Skubl’s ecommerce personalization, so an audience you define is one you can act on.
Illustrative example · sample store
The problem
Static segments are out of date the day you build them
Most segments are built from past behavior and refreshed by hand. A customer who is about to churn still sits in “loyal”, and a first-time buyer with high potential looks like everyone else.
- 01
Backward-looking
Spend-based tiers reward what happened, not what will happen.
- 02
Refreshed by hand
Lists are rebuilt monthly, so they’re always behind.
- 03
Stuck in one tool
Segments built for email can’t be used on site or in ads.
How Skubl solves it
How Skubl’s customer segmentation tools work
01
Predicted LTV and churn segments
Group customers by predicted lifetime value and churn risk from Skubl’s predictive layer.
02
Segments that update themselves
Membership updates as shoppers browse and buy, with no manual refresh.
03
Value based segmentation
Combine predicted value with behavior to separate high-potential first-time buyers from one-off bargain hunters.
04
Use them everywhere
Send segments into onsite personalization, email and ad platforms.
Dynamic segmentation, explained
The terms you’ll see when comparing marketing segmentation software.
- Static segments
- Fixed lists built at a point in time. Simple, but they go stale.
- Dynamic segmentation
- Segments defined by rules or predictions, where membership updates automatically as customer data changes.
- Visitor segmentation
- Grouping anonymous visitors by behavior, traffic source or location before they’re known customers.
- Audience segmentation software
- Tools that build and sync audiences to the channels where you reach customers, such as your site, email and ads.
High value audiences in practice
Illustrative scenarios, not customer results.
VIPs at risk
High predicted lifetime value and rising churn risk: a priority audience for a personal win-back.
Promising first-time buyers
New customers whose predicted value is in your top tier see full-price new arrivals, not discounts.
Prospecting from your best customers
Sync your highest-value audience to ad platforms to find more customers like them.
What predictive segments should move
We’ll add verified customer results here.
Metric to watch
Repeat purchase rate
Acting on churn risk early keeps more customers buying.
Metric to watch
Revenue from top-value customers
Treating high-value shoppers differently should grow their spend.
Metric to watch
Return on ad spend
Better audiences make prospecting and retargeting more efficient.
Built on Shopify, synced to your channels
Customer and order data come from the native Shopify connector. Segments can be used on site and sent to your marketing channels.
All integrations- ShopifyNative Shopify connector for products, customers and orders. The data foundation for every prediction and personalized experience.Available
- KlaviyoUse Skubl predictions and recommendations inside Klaviyo emails, and Klaviyo engagement as a shopper signal.Planned
- Meta AdsSend predicted high-value audiences to Meta for prospecting and retargeting.Planned
- Google AdsSend predicted high-value audiences to Google Ads customer match.Planned
Customer segmentation FAQ
What is dynamic segmentation?
What is value based segmentation?
Keep exploring
Know who your best customers will be
Connect your store to see predicted value and churn segments built from your store data.
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