marketing-experimentation

You can coordinate marketing experiments by applying a six-phase workflow: Discovery, Hypothesis Generation, Prioritization, Experiment Coordination, Synthesis, and Iteration Planning, using a living experiment tracker to persist progress across multiple campaigns.

Apply Lean Startup Build-Measure-Learn cycles by orchestrating experiments from discovery through iteration planning, integrating hypothesis-testing for quantitative tests and qualitative-research to surface clear signals for decision-making.

Marketing experimentation integrates both by delegating specialized tasks to hypothesis-testing for quantitative analysis and qualitative-research for non-numeric insights, combining results during the synthesis phase to generate validated learnings.

You need standard analytics access, but the workflows are tool-agnostic. The process relies on integrating with a market-researcher agent for concept validation and a centralized asset inventory rather than requiring specific proprietary platforms.

Yes, the workflow includes a dedicated prioritization phase after hypothesis generation, allowing you to evaluate and rank proposed marketing tests before moving into experiment coordination and execution.

Track progress using a living experiment tracker based on provided templates, which persists experiment coordination status, synthesis results, and iteration plans across conversations and ongoing campaigns.