Most customer data platform (CDP) RFP templates floating around the market have a common origin: they were written by CDP vendors. That's not inherently dishonest, but it does create a structural problem. Vendor-authored templates emphasize the categories where most platforms perform reasonably well and quietly omit the areas where real differentiation shows up.
The result is a stack of responses that read almost identically, and a selection process that defaults to pricing, relationships, or demo polish rather than the capabilities that determine whether a platform actually delivers value at enterprise scale. A better CDP RFP starts by asking questions vendors wouldn't volunteer.
Why most CDP RFPs ask the wrong questions
Generic CDP RFP templates tend to optimize for feature checklists. Can the platform ingest data? Yes. Does it support segmentation? Yes. Does it offer integrations? Yes. Every vendor clears these bars, which means the template itself has failed to do its job: distinguish between options.
The questions that actually separate platforms are harder to score and harder to answer. How does the vendor handle identity when there's no shared key across systems? Can marketing, analytics, and operations each get an identity view optimized for their use case without maintaining separate platforms? What happens to downstream systems when customer IDs change? According to Gartner's 2025 Marketing Technology Survey, only 49% of martech tools are actively used, and just 15% of organizations qualify as high performers who meet strategic goals and demonstrate positive ROI. CDPs are not immune to this pattern. When a platform is selected through a checkbox RFP, the capabilities that go unused are often the ones that mattered most, and the CDP vendor evaluation process didn't surface them.
A request for proposal (RFP) framework worth using should force vendors to demonstrate depth in six areas, not just confirm features exist.
Six areas your CDP RFP should cover
Identity resolution and data unification
This is where CDP vendor differentiation is most concentrated and most obscured. Your RFP should require vendors to explain their approach to identity resolution in specific terms: do they use deterministic matching only, or do they combine deterministic, probabilistic, and machine learning (ML)-based methods? Can you see how and why two records were connected? Can the system build multiple identity graphs from the same data, each tuned for a different use case?
Sample questions: Describe how your platform handles data ingestion from raw, unstructured sources and resolves customer identity when no shared unique identifier exists across systems. How are match decisions made transparent to users?
Real-time activation and personalization
Batch-only platforms create a gap between insight and action that enterprise brands can't afford. Your CDP RFP template should test whether the platform supports streaming data ingestion, real-time profile updates, and sub-second API access for delivering personalized experiences at page-load speed. Ask specifically about the latency between a customer event (a purchase, a cart abandonment, a loyalty sign-up) and when that event is reflected in the profile available to your activation tools.
Sample question: What is the end-to-end latency from event capture to profile availability for real-time personalization?
Architecture and composability
Enterprise buyers are investing heavily in cloud data infrastructure. Your CDP requirements should test whether the platform's key capabilities work with that investment or against it. Does the vendor support zero-copy data sharing with your lakehouse (Snowflake, Databricks, BigQuery)? Can you run the platform on your own storage and compute? Or does the platform require you to duplicate data into a proprietary environment you don't control?
Sample question: Describe your platform's integration model with existing lakehouse and warehouse environments. Does it require data replication?
Governance, security, and compliance
With 19 US states now enforcing comprehensive privacy legislation and global frameworks like the General Data Protection Regulation (GDPR) setting the baseline, governance isn't a nice-to-have section of the RFP. Test for role-based access controls, personally identifiable information (PII) masking, consent signal management across systems, data subject access request (DSAR) fulfillment workflows, and dedicated sandbox environments where teams can test changes without touching production data.
Sample question: How does your platform consolidate consent signals from multiple systems and enforce them consistently across activation use cases?
Reporting, analytics, and AI readiness
The line between CDP and AI infrastructure is collapsing. Nearly 80% of respondents to IDC's July 2024 Future of Customer Experience Survey said they plan to spend more on their CDP over the next year. Much of that investment is driven by AI readiness: organizations are recognizing that predictive models and agentic workflows are only as good as the customer data underneath them. Your RFP should distinguish between vendors offering out-of-the-box predictive models (predicted customer lifetime value (CLV), churn propensity, product affinity) and those requiring you to build or bring your own. Ask about CDP scoring models, natural language querying, agentic AI capabilities, and how the platform ensures AI outputs are grounded in governed, trustworthy customer data.
Sample question: What predictive models ship out of the box, and what level of data science expertise is required to deploy and maintain them?
Vendor viability and partnership model
A CDP is long-term infrastructure. Your evaluation should cover the vendor's financial stability, customer base in your industry, implementation methodology, and ongoing support model. Ask for references from brands of similar complexity, not just logos. And ask what co-innovation looks like: does the vendor's roadmap evolve based on customer input, or is it purely internally driven?
Sample question: Provide three references from enterprise customers in our industry who have been live on the platform for more than 12 months.
How to score and compare CDP vendor responses
Weighted scoring separates a useful evaluation from a cosmetic one. Not every RFP section carries equal importance. Identity resolution and architecture should carry more weight than UI preferences or standard integrations, because they're the capabilities hardest to change after you've committed to a platform.
Separate your CDP requirements into two tiers: must-haves (capabilities without which the vendor is disqualified) and differentiators (capabilities that separate good options from the best fit). And require live demonstrations using your actual customer data, not canned demos built on clean sample datasets. Amperity's guide to choosing the right CDP breaks this distinction into table-stakes versus next-level capabilities, which is a useful lens for structuring your scoring rubric.
The platform you select will shape how your teams access, trust, and act on customer data for years. A rigorous RFP process is the difference between a platform that compounds value over time and one you're replacing in 18 months.
Ready to build your CDP RFP? Download Amperity's Essential CDP RFP Guide for 150+ sample questions organized by evaluation theme, plus a scoring framework designed for enterprise buyers.