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Just 29% of Retailers Recognize Customers Across Platforms: CommerceNext Survey

Retailers continue to struggle for access for complete customer data.  A CommerceNext survey of ecommerce managers found that only web analytics (95%), behavior (89%) and email/SMS interactions (83%) are used by more than half the respondents.  Underused sources include loyalty data (47%), point of sale purchases (44%), and customer service interactions (42%). An impressive 64% said they do incrementality testing but many fewer capture customer IDs (46%), do predictive scoring (25%) or attempt ID resolution (22%).

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AI-Based Version Tests Yield 68% Lift Over Marketers’ Choices: Persado Study

May 12, 2023

Persado was using AI to create marketing content when ChatGPT was still learning to sing Daisy. They haven’t had much attention recently but did just release this interesting study that found senior marketers do no better than chance at picking the winner among three possible email subject lines. The key is less that AI generates better content than that Persado tests many alternatives to find which performs best.

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Half of “Citizen Developer” Programs Fail: Webcon Study

May 11, 2023

Only half the CIOs who have adopted citizen development say it’s worked (14% of 27%), but nearly all the rest (70%) plan to adopt it, according to this Webcon survey.  The study throws fuel on the build vs buy fire by reporting that low-code development is not only faster, cheaper and more flexible than custom development but also than buying packaged (“commercial off-the-shelf”) software.  Or maybe not: the actual questions compare apps built with low-code platforms to “applications built with commercial-off-the-shelf products”, so respondents might have been thinking about packaged... Read More >

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GrowthLoop and TransUnion Partner to Optimize Audience Reach

April 19, 2024

GrowthLoop will use TransUnion identity data to improve U.S. consumer match rates on client files sent to advertising media such as Facebook and Google Ads.  The data should also help clients to find matches among records within their files, building more accurate customer profiles.  GrowthLoop calls itself a “composable CDP”, meaning it works with data assembled in external data warehouses.

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