CT No. 71: Analytics that illuminate your audience of lurkers
1/28: How to use Google Analytics to create reports on your audience, a review of Mangools and links about good jobs and bad jobs
newsletter-archive
CT No. 70: Everyone’s invited to the first-party data party
1/21: First-party data collection 101, a free-to-use robust survey tool; and great stats on news consumption and audience trust.
CT No.69: Foundations for a content-based data strategy
1/14/21: Data acquisition for content marketers, annual survey, a cookie widget tool review, and new tools from Google.
2020 year in review + reader survey
This year's most read content and my favorite posts.
CT No.66: Time to smoothe, soothe and breathe
Wishes for rest and reflection
CT No. 65: The obstacle course of a website redesign
Website redesign nitty gritty and technical details, a review of a proximity chat app, and links of the week
CT No.242: What's your vector, Victor?
How to understand tokens and vector embeddings, for word people.
CT No.241: TF? ID(GA)F: The old faithfuls of language processing
Even in the face of "black box" algorithms, the history of artificial intelligence—natural language processing, more specifically—has left plenty of clues. While we can't understand the full equation, we can see how building blocks create common patterns in how current algorithms process language.
CT No.240: Mad inconvenient infrastructure
Infrastructure, no matter how solid or planned or continuously improved, gets messy. Observing humanity in July feels like the ultimate UX research experiment.
CT No.239: Please automate the tedious part for me
July is prime chart-making season. July 2025 is one more chartmaking season that will not be powered by artificial intelligence, and here's why.
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