CDPs Win By Selling Outcomes
Charles Chretien, co-founder of Prequel, on the modern data stack’s ROI problem
The strategic point is that CDPs win by selling an outcome, not infrastructure. A marketer can connect Shopify, ad networks, email tools, and a warehouse, build audiences, push them into campaigns, and then measure lift in clicks, conversion, or ad efficiency. That is much easier to buy than a horizontal data tool that mostly promises storage, processing, or pipelines without tying spend to a business KPI.
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This is why reverse ETL collapsed into broader products. Moving rows from a warehouse into apps was useful, but too narrow to support a large standalone business. Census sold to Fivetran, and Hightouch moved up the stack into a fuller CDP aimed at marketing teams and their budgets.
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The product advantage comes from finite workflows. In marketing CDP, the inputs, transforms, and destinations are relatively predictable, so vendors can template identity resolution, audience building, warehouse sync, and activation. That cuts reliance on data engineers and makes the tool usable by growth and marketing operators.
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The same pattern is showing up outside marketing. Calixa built an opinionated CRM for product led SaaS on top of warehouse data, instead of offering generic BI. That is the broader shape of verticalization, taking shared data infrastructure and wrapping it in workflows for one team, one buyer, and one measurable job to be done.
Going forward, more data products will look less like generic plumbing and more like packaged systems for a specific function such as marketing, sales, support, security, or observability. The winners will be the vendors that own the last mile workflow and can show exactly how data changed revenue, retention, or efficiency, not just how much data they moved.