WritingReading path
Composable and agentic CDPs, reverse ETL, clean rooms, and DMP lineage — where customer truth lives once the data stops moving and the agent comes to it instead.
15 essays in this path
of 94 published · 2015–2026
A framework for the warehouse-native generation of customer data: what 'no data egress' actually buys, why reverse ETL became the last mile, how multi-cloud clean rooms split the work, and where the lock-in really went.
Every copy of customer data is a new attack surface, a new place to enforce consent, and a new target for a deletion request.
Snowflake just shipped a governed agentic loop between the warehouse and Meta — conversion signals out, campaign context back, an agent that prepares and a human who approves. It is the closest thing yet to this site's thesis running in production. It is also the exact pattern this site warned about: the loop closed, but it closed inside one walled garden, on one vendor's proprietary surfaces.
Amazon opened AMC to all sponsored-ads advertisers in Sept 2025. What's free, what still costs, what the 100-user threshold hides, and what expires Dec 2026.
People search 'CDP vs. reverse ETL' like it's a product bake-off. It's a category error — one is a suite, the other is a pipe. The real question is where the customer truth should live, and once you answer that, the comparison resolves itself. A decision table, three scenarios, and the trap on each side.
Adtech versus martech was never a strategy — it was a custody arrangement: two industries built on two copies of one customer, one reaching through rented access, the other through owned relationships. The agentic CDP did not end the split; it exposed how little of it was strategic. One governed customer memory — read, written, and learned against by agents on both sides — is absorbing the operating boundary between paid and owned. Sequel to 'The Composable CDP: How Customer Data Stopped Moving.'
A category got named on Monday, shipped on Tuesday, and acquired on Wednesday. But the fourth-generation CDP is the entry point, not the story: the CMO's job is moving from campaign execution to constraint design.
A framework for packaging buyer intent, semantic meaning, provenance, privacy policy, activation rules, and measurement logic into executable advertising signal containers.
Why on-device, privacy-preserving ML may finally find its mainstream year — and the five mobile use cases that prove it.
The post-cookie playbook — zero-party data plus clean rooms as the durable identity stack.
Secure multi-party data environments — the substrate for targeting, attribution, and personalization without raw PII.
How proactively-shared customer data fuels personalization, product roadmap, and durable trust.
Five practical tips — DMPs, third-party data, segmentation, look-alikes, data-driven action — for profitable consumer relationships.
Decoding two over-used terms — and why the DMP is the central nervous system of an interoperable mar-tech stack.
How DMPs power PMP packages, custom audiences, private data marketplaces, and the four scenarios that matter.
Why the DMP is the foundation for multi-touch attribution and the connective tissue across marketing channels.
1 research paper · 1 appearance
What buyers can receive, keep, use again and rebuild from nine data-collaboration products
5 essays on this path
What a buyer can actually receive, keep, reuse and rebuild from nine data-collaboration products: Snowflake, Databricks, AWS Clean Rooms, Ads Data Hub, BigQuery clean rooms, InfoSum, LiveRamp, Amazon Marketing Cloud and Meta Advanced Analytics. Every product lets something leave; none documents a way to take the whole workflow elsewhere. Thirteen tests to run before signing.
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