The limitations of ‘real-time’ CDP use cases — my latest on Martech.org

Summary: Customer Data Platforms (CDPs) offer the potential for real-time data consolidation and customer engagement. However, achieving true real-time execution depends on various factors. These limitations encompass challenges in personalization, e-commerce, fraud detection, and third-party data integration. Key factors include data update frequency, processing requirements, and the need for immediate data access, making it essential…

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Checklist

Two frameworks for CDP use cases

Summary: Use cases are more important than identity in constructing a customer data platform. To understand their relative roles, use the device framework and the person framework. The former involves understanding device requests, activity, and collecting identifiers, while the latter deals with complex individual identities across devices. The article stresses the need to consider both…

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violin player

Fine-tune CDP personalization with these two use case frameworks

Summary: The article explains how to use two frameworks — device and person — for refining CDP (customer data platform) use cases. It applies these frameworks to personalization. Under the device framework, personalization involves responsive design, contextual links, and location-based changes. The person framework focuses on individual profiles, devices, identifiers, and personas, emphasizing the need…

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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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