2 Digital Marketing AI Agents, Live in Production.

Two failures recur in digital marketing planning. The first is capacity: a campaign plan is built from the objective backwards, with activities and dates assigned to owners who are already committed elsewhere, and nobody checks the total against what the team can actually deliver. The plan is approved, week three arrives, and the sequencing collapses — usually onto whichever activity had the least visible owner. The second is prioritisation. A page audit returns twenty recommendations, all reasonable, none ranked, so the team works down the list in the order it was written rather than by what would move the conversion. Worse, changes that genuinely need testing get shipped as certainties, and the result gets attributed to whichever change happened to be last.

These agents supply the constraint and the ranking. Campaign Planning turns an objective into a phased plan — activities, owners, dependencies and dates — checked against the team’s actual capacity before anyone commits to it. Checking before commitment rather than after is the entire value: an overcommitted plan discovered at approval can be scoped; discovered in delivery it can only be dropped. Website Optimization reviews a set of pages against the conversion they are meant to drive, ranks what to change by effort against impact, and says what needs testing rather than guessing. Naming the uncertain changes as tests is what keeps the eventual result interpretable.