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Customer data

Unified ecommerce customer data, ready to personalize

Skubl includes the parts of an ecommerce CDP that personalization depends on: connectors that bring in your store data, one profile per shopper, and predictions you can act on. It isn’t a standalone customer data platform. It’s the data layer underneath Skubl’s ecommerce personalization, so there’s nothing extra to integrate.

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Illustrative example · sample store

The problem

Customer data stuck in silos can’t personalize anything

Orders live in your store, engagement in your email tool and browsing in analytics. Personalization needs all of it in one place, joined to one shopper, and ready the moment they arrive.

  • 01

    Scattered profiles

    The same customer appears differently in every tool.

  • 02

    Data without decisions

    A traditional CDP collects data but leaves acting on it to other tools.

  • 03

    Long projects

    Standalone CDP implementations can take months before anything changes for shoppers.

How Skubl solves it

What Skubl’s ecommerce CDP layer does

  • 01

    Shopify and other data connectors

    Products, customers and orders sync through the native Shopify connector. Other sources can be added.

  • 02

    A single customer profile

    Browsing, orders and engagement are joined into one profile per shopper.

  • 03

    Predictions on every profile

    Each profile carries predicted lifetime value, churn risk and audience scores from Skubl’s predictive layer.

  • 04

    Activation, built in

    Profiles and predictions are used directly by Skubl’s personalization, so data turns into experiences without another integration.

CDP vs DMP

Two very different tools that are often confused.

Customer data platform (CDP)
Collects first-party data about known and anonymous customers, such as orders, browsing and email engagement, and keeps a persistent profile for each person.
Data management platform (DMP)
Collects mostly anonymous, third-party audience data for ad targeting, with short-lived cookie-based profiles. DMPs have declined as third-party cookies have been restricted.
Where Skubl fits
Skubl works with first-party data like a CDP, but focuses on one job: using that data, through a customer data activation layer, to personalize the shopping experience.

Customer data platform use cases for ecommerce

Illustrative scenarios, not customer results.

  • One view of every shopper

    Merchandisers and CRM teams see the same profile, with history and predictions side by side.

  • Audiences that keep themselves current

    Predicted value and churn segments update without manual list building. See customer segmentation tools.

  • From profile to page

    The same profile decides what a shopper sees on the homepage. See website personalization.

What unified customer data should move

We’ll add verified customer results here.

  • Metric to watch

    Time to first personalized experience

    How quickly connected data turns into something shoppers see.

  • Metric to watch

    Share of sessions recognized

    More recognized shoppers means more personalized experiences.

  • Metric to watch

    Repeat purchase rate

    Better profiles lead to better retention decisions.

Connected sources

Shopify is connected natively. Other sources are listed with their current status.

All integrations
  • ShopifyNative Shopify connector for products, customers and orders. The data foundation for every prediction and personalized experience.Available
  • WooCommerceCatalog, customer and order data from WooCommerce stores.Available
  • KlaviyoUse Skubl predictions and recommendations inside Klaviyo emails, and Klaviyo engagement as a shopper signal.Planned
  • Google Analytics 4Session and traffic-source context to target by acquisition channel.Available

Ecommerce CDP FAQ

What is a customer data platform?

A customer data platform (CDP) is software that collects first-party customer data from different sources, such as your store, email and website behavior, and combines it into a single, persistent profile for each customer that other tools can use.

What is the difference between a CDP and a DMP?

A CDP manages first-party data about identifiable customers and keeps long-term profiles. A DMP manages mostly anonymous third-party data for ad targeting, with short-lived profiles. For personalizing an ecommerce store, first-party CDP-style data is what matters.

Keep exploring

Turn store data into shopper experiences

Connect your store to see one profile per shopper, built from your Shopify data.

Get startedSee pricing

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