Profile unification using CDP summary tables

Introduction

Using these supporting features of Redpoint along with predefined Redpoint summaries for building robust unified profiles allows you to communicate to your customers accurately and consistently, providing the best user experience.

Ingestion & standardization: High-throughput connectors facilitate the seamless transfer of data from various sources. It also includes schema mapping to ensure that data fits into the appropriate structures, as well as parsing and normalization functions specifically designed for handling names, addresses, phone numbers, and emails. Additionally, quality scoring is implemented to assess the integrity and reliability of the data, while enrichment with provenance adds context and traceability to the information being processed.
Identity resolution engine: Configurable identity resolution employs both deterministic and probabilistic rules to accurately match identities across different datasets. This engine is equipped with nickname and phonetic dictionaries to enhance matching accuracy, as well as distance-based address matching techniques. Furthermore, it incorporates device-to-person stitching capabilities, allowing for a comprehensive view of individuals across various devices, along with do-not-merge policies to prevent erroneous data consolidation.
Survivorship policies: The survivorship policies ensure that the most accurate and trustworthy data is retained. This is facilitated by a visual policy builder that allows users to define source trust levels, recency of data, verification processes, and null-blocking strategies. Additionally, domain-specific templates are available to streamline the creation of these policies, ensuring they are tailored to meet the unique needs of different industries.
Consent & preference management: This includes purpose-level flags that indicate the specific reasons for data collection and usage, as well as per-channel eligibility to determine which channels can utilize the data. Policy enforcement mechanisms are also integrated into exports and APIs to ensure compliance with established guidelines and regulations.
Stewardship & audit: This includes case queues for managing exceptions that arise during data processing, a merge review user interface (UI) for overseeing data consolidation activities, and a comprehensive change history that tracks modifications made to the data. Additionally, support for Data Subject Access Requests (DSAR) is provided to ensure compliance with privacy regulations.
Activation connectors: Finally, activation connectors play a crucial role in facilitating the real-time transfer of data through APIs, as well as enabling batch exports to various destinations. These connectors are essential for integrating data across multiple platforms, including marketing, service, analytics, and advertising platforms, thereby enhancing the overall effectiveness of data utilization in business operations.

Redpoint summaries

Summary tables create a unified profile for segmentation and activation. These tables are predefined based on a standard data model for the source data. You can adapt them to fit your data model or modify them to meet your calculation needs.

Additional references

Here is the list of all of the out-of-the-box summaries for the Redpoint CDP: Redpoint CDP data dictionary