CDP Value Tied To Messaging
Colin Nederkoorn, founder & CEO at Customer.io, on the CDP layer in messaging
CDP becomes much more defensible when it is attached to a product that directly makes or saves the customer money. On its own, a CDP is mostly plumbing. It collects events, cleans them up, and routes them to tools. That is important, but many buyers struggle to justify a separate bill for data movement unless it clearly improves messaging performance, reduces engineering work, or lowers the risk of broken customer flows. Customer.io uses CDP as the setup layer for Journeys, where the visible value is the email, SMS, and push workflow that actually drives activation, retention, and revenue.
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The practical value of bundling is fewer handoffs. Instead of piping data from app to CDP to messaging tool, Customer.io can ingest the event, update the profile, and trigger the message inside one system. That cuts debugging work and matters most for fast workflows like password resets, onboarding nudges, and cart recovery.
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The category has been moving this way broadly. Segment moved up the stack into Twilio Engage, Klaviyo added CDP to its marketing suite, and Customer.io launched Data Pipelines to make CDP cheaper and easier to buy alongside automation. That pattern suggests standalone CDP is getting commoditized, while the budget shifts to the application layer built on top.
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This also matches how buyers measure ROI. Horizontal data tools often struggle to prove business impact, while marketing specific data products can tie spend to conversion lift, retention, and campaign performance. A CDP that only routes data is easier to cut than one bundled with the workflows that send the message and show the result.
The next phase is more consolidation around customer engagement suites that own both the profile and the action. For Customer.io, that means using CDP as the entry point, then expanding revenue through messaging, adjacent workflow tools, and more marketer friendly self serve controls. The winner is likely the company that makes the data layer feel less like infrastructure and more like an immediate business outcome.