Plan an AI campaign
AI Campaign Framework
The AI Campaign Framework plans a marketing campaign in ten steps, from objective, audience and insight to message, channel, the AI application, experiment, measurement, learning and iteration, with versions for SEO, paid, content, email, social and product launches.
The model
- 1Objective
- 2Audience
- 3Insight
- 4Message
- 5Channel
- 6AI application
- 7Experiment
- 8Measure
- 9Learn
- 10Iterate
Developed by Markaigen · Updated
What each part means
- Objective
- One measurable result the campaign must deliver, with a number and a date.
- Audience
- Who exactly, what they already know, and where they are in their decision.
- Insight
- The one thing about the audience that makes the campaign work; AI research helps find candidates, people choose.
- Message
- The core promise and proof, in the words the audience uses.
- Channel
- Where the message reaches the audience at the right moment, and the formats each channel needs.
- AI application
- Where AI adds speed or scale: research, variants, personalisation, analysis, or none at all.
- Experiment
- The one thing you test in this campaign, with a control.
- Measure
- The metrics tied to the objective, read at agreed moments.
- Learn
- What the numbers say about the insight, the message and the AI step.
- Iterate
- The change you make next, and what you drop.
How to use it
- Decide the AI application after the message, not before; AI serves the campaign, not the other way round.
- Use the campaign type to pick the usual AI applications: research for SEO, variants for paid, personalisation for email.
- Keep the experiment small enough to read within the campaign period.
Draft a campaign outline
Choose the campaign type and fill in the steps. The outline includes the AI applications that usually fit that type.
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