An agent that answers from your analytics is only as good as the data and the context it reads. These posts cover what agentic analytics is, how agentic tools and AI analysts differ, where MCP servers fit in a digital analyst’s work, and the context layer and harness we built for our own agent.
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4 picksDiscover what is agentic analytics, how it transforms BI, and its impact on business decision-making with autonomous AI agents. Get the 2026 overview.
by David PombarExplore agentic analytics tools and how they move beyond dashboards. This guide explains how they work, key use cases, and how to adopt them successfully.
by David PombarSix AI analytics tools compared by the evidence they read, how they work, and where they stop, for teams asking why GA4 and ad conversions dropped.
by Mariona MartíWhat a context layer for AI agents is, how it differs from a semantic layer, and five lessons from building the one behind Trackingplan's analytics agent.
by Alexandros Andre ChaaraouiLatest
15 posts · newest firstWhat a context layer for AI agents is, how it differs from a semantic layer, and five lessons from building the one behind Trackingplan's analytics agent.
by Alexandros Andre ChaaraouiTrackingplan's CEO on how a first AI feature taught us our users' job was the agent's job, and why we rebuilt the SaaS around agents.
by Josele PérezAn agent harness is everything around the model. How we built one for marketing data: the semantic layer, the tools, the evals, and what we threw away.
by Alexandros Andre ChaaraouiSix AI analytics tools compared by the evidence they read, how they work, and where they stop, for teams asking why GA4 and ad conversions dropped.
by Mariona MartíInside the new agentic Trackingplan: how it works, and why it isn’t comparable to an LLM with an MCP.
by Alexandros Andre ChaaraouiLearn how automated root cause analysis accelerates analytics troubleshooting, reduces incident resolution time, and keeps marketing data reliable.
by David PombarExplore agentic BI, the next evolution in analytics. Learn its differences, use cases, risks, and ensure reliable data for success.
by David PombarDiscover how natural language analytics translates user queries into actionable marketing and product insights. A guide for digital analysts and data teams.
by David PombarDiscover what is agentic analytics, how it transforms BI, and its impact on business decision-making with autonomous AI agents. Get the 2026 overview.
by David PombarExplore agentic analytics tools and how they move beyond dashboards. This guide explains how they work, key use cases, and how to adopt them successfully.
by David PombarExplore agentic marketing from concept to execution. Learn how autonomous AI agents work, the analytics challenges they create, and how to solve them.
by David PombarExplore agentic AI in marketing. This guide covers use cases, implementation, and the critical role of data observability for trusted, autonomous campaigns.
by David PombarWhat an AI data analyst is, how it changes the analytics workflow, the use cases that pay off, the tools, why data quality decides the result, and a pilot.
by David PombarAi agents for marketing - Revolutionize marketing with AI agents. Explore use cases, implementation, & data quality to boost ROI with intelligent automation
by David PombarA practical comparison of Chrome DevTools MCP vs Playwright MCP for auditing tags and validating GA4/GTM tracking.
by David PombarTrackingplan
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