PROFILE UNIFICATION

Actionable, Real-Time Customer Profiles

Connect, unify, and resolve identity, attribute, and event data from multiple touch points, devices, and channels into a single customer view.

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Dashboard view showing a customer profile with predictive scores, channel preferences, recent catalog activity, and personalized recommendations, illustrating how ecommerce marketing solutions use data and AI to drive engagement and purchases.

Single Customer View

Rich, Unified Profiles in Real-Time

Create 360-degree profiles for every known and anonymous user with cross-device identity resolution.

  • Real-Time Updates: Maintain continuously updated, comprehensive customer profiles in real-time.  
  • Enhanced Efficiency: Gain operational efficiencies by centralizing all customer data in one platform.
  • Personalized Engagement: Enable 1:1 cross-channel experiences leveraging real-time customer profile data.
in-app screenshot of identity modeling

Identity Modeling

Resolve Online and Offline Identities

Merge profiles in real-time, as new data flows into the Blueshift Customer Engagement Platform from any of your source systems with flexible identity modeling.

  • Ingest and store multiple identifiers on each profile, including standard identifiers like emails and cookies, and custom from transactional and CRM systems.
  • Track anonymous activity, automatically merging with known profiles when identifying information is available. 
  • Customize profile merge rules to align with your business logic, utilizing a hierarchy of identifiers.
in-app screenshot of Customer Groups profile example

HOUSEHOLDING

Group Profiles by Households & Accounts

Efficiently tailor engagement for members of a common group based on group or individual-level attributes and actions.

  • Group related profiles into “households” for insight into the preferences of unique members within an account. 
  • Target main account users with account-level messages, such as billing and subscription updates or special offers.
  • Deliver personalized, relevant content tailored to the interests, preferences, and behaviors of individual users.
  • Applications include streaming platforms, cell phone plans, enterprise marketing, identity management, and more.
in-app screenshot of derived-attribute-example-in-blueshift

DERIVED ATTRIBUTES

Augment with Computed Events & Traits

Leverage derived attributes to define and compute new attribute values dynamically for both users and catalogs.

  • Compute conditional, time-bound, aggregated, and unique list derived attributes based on event data.
  • Leverage derived attributes seamlessly in segments and campaigns to tailor engagement at a granular level.
  • Create custom derived attributes such as average order value, last viewed category, last viewed item, content watched, and more.
Horizontal snowflake blueshift bi-directional data flow

Bi-Directionl Sync

Integrate with Your Cloud Data Warehouse(s)

Leverage Blueshift’s bi-directional integrations with Cloud Data Warehouses like Snowflake, Databricks, Amazon Redshift and Google BigQuery to ingest and export data with ease.

  • Ingest data warehouse data in micro-batches and streams, and export data enrichments back to your cloud data warehouse.
  • Seamlessly unify data warehouse data with other sources of real-time data and events.
  • Enable marketers to segment data intuitively, without learning SQL or other technical query languages.
  • Leverage federated data sharing.

Demo the platform

See the Blueshift Customer Engagement Platform in Action

Take a self-guided tour or talk to us about the Blueshift Customer Engagement Platform and see how easy it is to connect all your data and drive customer-centric campaigns across marketing channels.

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