A big part of a CMO's job is to take a flood of marketing signals, like campaign results, attribution dashboards and agency reports, and turn them into decisions the business can rely on.
More and more of that is becoming something tools can help with. What they can't do is tell you which dashboard number is attribution theatre, how far the brand can stretch before it breaks, or the positioning call to make when the market shifts under you.
This page sorts the two: what to hand your tools, and what only your team can answer. Built from the public record, every claim checked against the original.
Click a cell to open its story. Filter to read one zone at a time.
mostly a tool’spartlyonly in a head
AI is absorbing thisValue concentrates here →
System
What anyone qualified could do
AI is absorbing this
What your industry knows
AI is absorbing this
What's written down inside
your asset, worth codifying
What only your team knows
judgement, no system holds it
Martech & campaign tools
campaign execution, scheduling, ad trafficking
standard channel & campaign practice
martech config & customer journeys
+
Analytics & attribution dashboards
building dashboards, reporting
standard marketing metrics, media-mix methods
the marketing-mix & spend data
+
which dashboard number is attribution theatre
+
Brand & content library (DAM)
asset tagging, first-pass copy
brand-strategy & positioning frameworks
brand guidelines & campaign history
+
how far the brand has permission to stretch
+
CRM & segmentation
list management, data entry
segmentation methods, lifecycle patterns
segment definitions & CRM data
+
Agency & media contracts
brief admin, PO processing
standard media-buying & rate norms
agency rebates, markups & media terms (opaque)
+
The two left columns hold the fullest part of the job — the generic skills and your sector’s published rules. They’re also what AI absorbs fastest, because nothing org-specific anchors them. Your value concentrates to the right.