Eight Agencies Rewrote Their Business Model With AI: What They're Doing Differently
The Marketing AI Institute put it plainly in a recent piece by Cathy McPhillips: the agency model is being rewritten in real time, and a growing gap is…
Hands-on insights from projects we actually run: data analytics, conversational analytics, AI workflow optimisation, ads agents, and MCP in marketing.

The Marketing AI Institute put it plainly in a recent piece by Cathy McPhillips: the agency model is being rewritten in real time, and a growing gap is…

Most marketing teams have quietly settled into the same relationship with AI: it drafts the email faster, spins up ten subject-line variations faster…

Anthropic's Claude agents reached three organizations' real systems through a misconfigured sandbox. Five containment safeguards for marketing ops.

Apps are growing a second front door for agents. The protocol is the easy part; whether your data survives an agent reading it is the hard part.

"AI saved us 200 hours" is an input, not a return. Capture the baseline first, then prove what those hours became in GA4 and BigQuery.

MCP connects an AI agent to Google Ads, BigQuery and GTM. The hard part isn't the protocol — it's having data clean enough to ask questions of.

LLM 0.32 gave Claude server-side WebSearch, WebFetch, CodeExecution and MCP. Less glue to maintain, and the same old question: is the data underneath any good?

Waiting on engineering to change a schema is why analytics projects stall. Migrations put the shape of your GA4 data back in the analyst’s hands.

There is no best AI model — only the best one per task. A routing matrix for marketing: generation, analysis, automation, and what each should cost.

Your GA4 BigQuery export is a raw, event-level data model. Feature engineering — now doable with an LLM — turns it into signals your reports hide.

OpenAI split GPT-5.6 into three tiers. Route models by job — cheap tiers for volume, reasoning for money decisions — or your cost per campaign multiplies.

Everyone knows what they spent on AI tools. Almost nobody knows what those tools earned. A GA4 + BigQuery framework to close the gap.

Real examples of AI agents running Ads reports, warehouse queries, and tag management through MCP — plus what we learned shipping our own tracking stack this way.
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We're writing up what we've learned running analytics and AI workflows in production.