digital woman

Deterministic v probabilistic matching in a customer data platform

Summary: The article delves into deterministic and probabilistic matching in CDPs (customer data platforms). Deterministic matching seeks exact attribute matches like email addresses, while probabilistic uses statistical algorithms for likely matches. It notes deterministic isn’t always accurate and suggests a confidence-based approach tailored to use cases. It underscores the need for caution in merging profiles…

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scale

Composable vs packaged CDP – What is the difference?

As if the CDP landscape wasn’t complicated enough, now we have the additional complication of composable vs. integrated, or packaged CDPs. To unpack this, let’s start with “composability.” From Wikipedia … Composability is a system design principle that deals with the inter-relationships of components. A highly composable system provides components that can be selected and…

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Creating data products

Font-end vs. back-end CDPs

Think of CDP capabilities this way: there are back-end functions and front-end functions. By back-end I mean the data collection, cleaning, and processing efforts to create the mythical “golden record.” By front-end I mean the activations: managing paywalls, displaying special offers to discrete audiences, personalization, and so on. You may only need the front-end. To…

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The Krehbiel Letter

On customizations, programmatic advertising, CDPs and more. Vol. 1, Issue 5

In this podcast version of The Krehbiel Letter I walk through the December 2022 issue, giving the key takeaways and summarizing each article. Topics include …  Customizations can cause no end of headaches. They’re necessary sometimes, but think three times before you dive in.  What if programmatic advertising died? According to Bob Hoffman’s Adscam, it’s…

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