Last updated: May 20, 2025

Acquia Customer Data Platform - New Packages

With Customer Data Platform (CDP), you can unify, manage, and analyze data from various sources. In addition, you can:

• Create personalized and targeted marketing campaigns
• Optimize customer experiences
• Drive higher engagement
• Conversion rates across multiple channels

CDP empowers businesses to make data-driven decisions, streamline marketing efforts, and enhance customer satisfaction for increased revenue and long-term growth.

The main features of Customer Data Platform fall into the following categories:

• Integrations and Data Collection: Seamlessly collect and aggregate data from multiple sources, including CRM, website interactions, and third-party applications. This enables businesses to gather all relevant customer information in one place, laying the foundation for effective data unification.
• Profiles and Data Unification: Utilize the Identity Resolution Engine to clean, de-duplicate, stitch, and enrich data from all sources, creating a unified customer record for analysis and campaigns. This comprehensive approach ensures a holistic understanding of your customer base, providing valuable insights for marketing and sales efforts. You can access this single view of the customer through a user-friendly interface or an API, which streamlines data management and integration.
• Analytics and Machine Learning: Gain key insights with fully configurable visual dashboards, reports, and custom report creation capabilities. You can leverage the power of machine learning to generate insights at scale, using both custom and pre-configured models such as likelihood to buy, likelihood to engage, and next best offer.

Last updated: May 20, 2025

Acquia Customer Data Platform - New Packages

With Customer Data Platform (CDP), you can unify, manage, and analyze data from various sources. In addition, you can:

• Create personalized and targeted marketing campaigns
• Optimize customer experiences
• Drive higher engagement
• Conversion rates across multiple channels

CDP empowers businesses to make data-driven decisions, streamline marketing efforts, and enhance customer satisfaction for increased revenue and long-term growth.

The main features of Customer Data Platform fall into the following categories:

• Integrations and Data Collection: Seamlessly collect and aggregate data from multiple sources, including CRM, website interactions, and third-party applications. This enables businesses to gather all relevant customer information in one place, laying the foundation for effective data unification.
• Profiles and Data Unification: Utilize the Identity Resolution Engine to clean, de-duplicate, stitch, and enrich data from all sources, creating a unified customer record for analysis and campaigns. This comprehensive approach ensures a holistic understanding of your customer base, providing valuable insights for marketing and sales efforts. You can access this single view of the customer through a user-friendly interface or an API, which streamlines data management and integration.
• Analytics and Machine Learning: Gain key insights with fully configurable visual dashboards, reports, and custom report creation capabilities. You can leverage the power of machine learning to generate insights at scale, using both custom and pre-configured models such as likelihood to buy, likelihood to engage, and next best offer.
• Activation: Orchestrate messages and offers in real-time across all communication channels, such as email, SMS, push, and direct mail. For an integrated approach to customer engagement, you can extend this coordination to customer experience systems, including website personalization engines, customer service, and support systems.
• Data Governance and Privacy: Facilitate compliance with data protection regulations by implementing strict data governance and privacy measures. Acquia’s Customer Data Platform prioritizes the security and privacy of customer data, providing peace of mind while maintaining transparency and control over data usage.

Features

The following section elaborates the features of CDP:

Activation

Campaigns

Campaigns is a customer segmentation and activation tool that orchestrates personalized marketing campaigns across engagement channels. It enables segmentation and personalization using omni-channel customer, transaction, and engagement data to deliver personalized content to multiple destinations.

Analytics and Machine Learning

Metrics

Metrics is an analytics reporting tool that facilitates data analysis through the creation of insightful reports and visualizations. You can explore and analyze the output of Metrics reports in tabular format and a wide array of chart views to enhance comprehension. Metrics provides out-of-the-box, pre-calculated dimensions. It serves as a business intelligence tool that enables you to understand the data and make informed decisions.

Template Reports

Template Reports is a tool that you use to run and consume custom template reports.

Interactive Queries

Interactive Queries is a SQL Interactive Development Environment (IDE) to query data in CDP for data exploration and data analysis.

Cohort Analysis

Cohort Analysis is a tool that enables data analysts and marketers to define static audiences of users to analyze their behavior in Metrics and leverage them in Campaigns.

Machine Learning Models

Machine Learning Models is a set of standard, Acquia-maintained machine learning models available to use in Campaigns, Metrics, and 360 Profiles.

Machine Learning Studio (CDP Studio Apps)

Machine Learning Studio (CDP Studio Apps) is a machine learning IDE that allows you to write Python and SQL code and also build and deploy client maintained custom machine learning models so that you can surface the custom machine learning models in Campaign+, Metrics, and 360 Profiles.

Profiles and Data Unification

360 Profiles

360 Profiles is a tool that you use to search for specific customers and access their information. You can query the unified and enriched customer profile (glossary term, activate to view definition) built by CDP. You can use this tool for marketing and customer interactions, and power one to one customer interactions.

Universal Data Model

Universal Data Model (UDM) is a configurable data layer that provides a comprehensive and adaptable structure for your data. It comes with sets of standard entities, custom entities, standard fields, and custom fields. Standard calculations and custom calculations are calculated attributes.

Custom Attributes (CDP Studio Apps)

Custom Attributes (CDP Studio Apps) is a tool that allows the self-service creation and deployment of custom fields of different data types (including string, decimal, integer, and date) to Campaign+, Metrics, and 360 Profiles.

Pipelines

Pipelines is a set of data processes to ingest, process, and surface the data in CDP. It is composed of batch pipelines and real-time pipelines.

Data Calculations

Data Calculations is a set of data computations and data enrichment processes. The process includes calculated attributes, that is, standard calculations or custom calculations.

Custom Calculations (CDP Studio Apps)

Custom Calculations (CDP Studio Apps) allows the self-service creation and deployment of custom calculations so that you can surface the custom calculations it in Campaign+, Metrics, and 360 Profiles.

Identity Resolution

Identity Resolution is a set of data processes to identify, connect, and consolidate data points from multiple sources to create a single, clean and comprehensive view of a customer.

Integrations and Data Collection

APIs

APIs is a set of the following modules:

• 360 API - API to query an individual customer
• Tracker API - API to ingest data in the CDP
• WebTag - Captures data from your customer’s interactions with your web site or application

Data Export

Data Export is a set of configurable modules that exports or shares data outside CDP. The following are the three modules of data export:

• Cloud data export
• Snowflake data share
• Interactive Queries export

Governance and Privacy

Access Management

Access Management is a tool to manage users, roles, and permissions in CDP.

Data Retention

Data Retention is a set of data processes to ensure that CDP retains all the data that is relevant to the customer while maintaining the volume of data at manageable levels.

Data Erasure

Data Erasure is a set of tools to manage data erasure requests for user records in CDP.

Definitions

The following are the definitions of terminology used in CDP:

• Profile - A row in the customersummary table.
• Active Profile (formerly “Active Customer”) - A unique buyer who has conducted a Transaction within the prior 12 months and with an identified email address, postal address, phone number, or a combination. Anonymous buyers are tracked but not counted as an Active Profile until they have identified themselves with an email address, postal address, phone number, or a combination.
• Transaction - A defined type of activity, such as a purchase, doctor’s appointment, lunch outing, form response, or other type of prescribed interaction, that is recorded in CDP’s transaction table. More specifically, it is a combination of Transaction Lines that occur simultaneously.
• Transaction Line - A row in the transactionitem table.
• Event - An entry in the event table.
• Standard Entity - A table in the CDP data model. The list of standard entities are customer, transaction, transaction item, product, product category, and organization.
• Custom Entity - A table in the CDP data model that is not in the standard entity list. For example, pets is a new table in the data model and therefore is a custom entity.
• Standard Field - A column in the CDP data model that belongs to a standard entity in the base schema. For example, first name is a standard field on the standard entity customer.
• Custom Field - A column in the CDP data model that is added to the base schema. For example, preferred pet color is not part of the base schema and therefore is a custom field.

Limitations

The following are the limitations of CDP:

• Pipeline - The batch pipeline runs once a day.

• Data Retention- The data retention applies to the following categories:

  Category	Default Retention	Notes
  Email send events	6 months
  Email events (excludes sends)	12 months	Includes email opens and clicks.
  Events in Metrics	3 months	Events in Metrics can only be filtered for up to 3 months within the retention period.
  Anonymous events	6 months	Not stored outside of the sessionization window.
  Direct mail events	2 years	Direct mail campaign file includes a list of final recipients of the direct mail campaign and those reserved as holdouts from the campaign.
  Campaign, template reports, campaign history, cohort analysis	6 months	Campaign history is only utilized for those customers using legacy. campaigns.
  Exports	6 months	Utilized to diagnose errors.
  Kafka (WebTag)	7 days	Utilized to diagnose errors.
  TransactionMessageXRef	13 months	Utilized to diagnose errors.
  Web events

Machine Learning Studio  (CDP Studio Apps)

Custom Calculations (CDP Studio Apps)

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