So, You Are Going To Add A CDP To Your MarTech Stack?
An Executive’s Perspective
The industry defines a CDP as a platform that centralizes customer data from multiple sources and makes it available to systems for insight and engagement tasks. This definition is dated as modern CDPs include not only customer data but also the ability to ingest prospecting data and partnership data in a secured environment.
The 4 Key Considerations When Evaluating Customer Data Platforms (CDPs)
Key capabilities you may want any CDP platform to perform:
- Data management: ability to assemble customer profiles - the infamous 360 view
- Cross-channel marketing and digital advertising - ecosystem and APIs
- Data delivery for analytics and customer engagement
- Security features that allow for sharing data with partners
The CDP market is highly fragmented, with each vendor type focusing on a specific industry and/or specializing in a particular functionality. It is important to note that many providers may say they can provide every feature functionality. Still, the art and the science of evaluating CDP vendors are determining which vendor is good at the dimensions deemed to be important for the business problems and opportunities you are trying to solve.
I suggest conducting pre-RFP benchmarking and competitive intelligence using resources such as user experience interviews, industry publications, and commercial research firms. The output will give you an overview of which vendors, software providers, and consultants are good at solving the various pain points that are important to your specific situation. Remember to ask for client references upfront from the CDP vendor. If you need assistance with benchmarking activities, there are service providers that can help with all aspects of these tasks, from organizational needs assessment to the purchase and integration of tools. Please feel free to reach out to me for more ideas.]
Some of the largest vendors in the CDP space include SAS, Tealium, Twilio Segment, and Zeta Global. However, several cloud-based data lakehouses (e.g., Snowflake or Google, etc.) offer accelerators and partner APIs to link campaign data to CDPs, thus making the vendor/provider landscape more competitive than ever before.
CDP capability sets are focused in four areas, and so the relative importance of meeting needs within these areas must feed into an organization’s decisioning. The four capabilities areas to assess are:
1. What level of data management does the CDP provide?
CDP data management includes:
- Creates a 360° view
- Data governance
- Data transformation and modeling
- Attribute and feature calculation
- Merge/append and matching - classic marketing database features
- Modern platform for streaming analytics and real-time data
- Providing access and data sharing by internal and external systems
2. What level of cross-channel marketing and campaign automation does the CDP provide?
CDP orchestration for cross-channel customer engagement:
- Ability to create profiles and segmentation for target marketing
- Provides audiences with engagement management platforms for personalization
- Ability to automate marketing campaigns with channel integrations and delivery capabilities:
- Some CDPs include native campaign management software, incorporating a GUI or a campaign design interface for database teams and marketers to program, with conversation decision rules kicking off based on customer behavior
- CDP may include some level of native channel integration and channel send capability (for example, email marketing, mobile messaging, etc.)
- This flavor of CDP has a native decision engine for the automation of campaign rules
NOTE: While some CDPs may have personalization and product recommendation engines, these functionalities may not result in a fully automated campaign management CDP which typically includes programming of campaigns via workflow and channel send capabilities (see above).
3. What level of analytics and measurement does the CDP provide?
Some CDPs (but not all) can:
- Collect data on predefined metrics to measure campaigns
- Provide customer analyses
- Integrate and provide data to specialty analytics tools
- Integrate third-party model code and apply model scores
NOTE: CDPs that are measurement and insights-oriented may offer reporting, modeling, and other marketing and customer journey analytics features.
4. What security features are available?
- Allow for partner data sharing without exposing PII
- Allow for security and access controls based on internal standards
- Are set up to comply with the GDPR/CPPA
- Some CDPs that are part of data lakehouses have highly secured data zones that allow for the restriction of data at the field and user levels
My preferred process for evaluating CDPs is to identify all solution options based on an understanding of your:
- Internal gaps within the current marketing infrastructure
- The use cases your organization is trying to drive
- Knowledge and skill sets within your organization
And remember, CDPs fit within a broader business ecosystem, but many also come standalone. For example, you can purchase Adobe Campaign or Salesforce Marketing solutions, or you can buy their entire marketing automation ecosystem.
In closing, CDPs should be reviewed in the context of the existing MarTech stack and the feature functionality gap. A critical factor in CDP evaluation is the work and resources needed to integrate your current infrastructure at upstream and downstream connect points.
As always, I’d like to hear from you. How have you and others in your organization evaluated CDPs? Are there other criteria I have not mentioned? What challenges have you faced in the evaluation stage...and how were they overcome? Contact me for more information at firstname.lastname@example.org.