Chapter 02 / The tool tax
Too many AI tools leave people doing the connecting.
The campaign team has AI built into five or six applications. Each one helps with a step. A person still carries the brief from one to the next, types the same instructions again and sorts out which version is current.
A renewal can keep a useful tool and an expensive workaround alive at the same time.
The hidden cost is the handoff between tools.
A usage report shows which tools get opened. It cannot show how much hand-carrying a campaign needs to get from one tool to the next.
Read the finding and CMO decision ↗Sign in for the full findingChanging AI should not mean rebuilding your campaign process.
Which accounts to prioritize, what counts as proof and who approves what belong to your company. They should survive a change of AI provider.
Read the finding and CMO decision ↗Sign in for the full findingBuy the one step you need instead of another seat.
Needing details added to an account list or a batch of keyword data once a month does not justify another application the team has to learn, log into and keep current.
Read the finding and CMO decision ↗Sign in for the full findingYour next renewal should include an exit test.
The real test of flexibility is whether your team can take its rules and working methods with it when it leaves a tool.
Read the finding and CMO decision ↗Sign in for the full findingThe numbers behind this chapter
First, how leaders rate this area overall. Then four specific ways of working, each asked separately.
How leaders rate this area overall · Q1
The one-line self-assessment, asked before the detailed questions.
What is actually in place · Q6
Four ways of keeping your methods when the tools change, each rated on its own.
One person can see AI spending and overlapping features across all of marketing’s tools.
Company knowledge and workflow instructions can be reused outside the tool they were written in.
A replacement AI model is tested on the same marketing examples before it is used.
One tool can be swapped without rewriting the whole workflow.
Put the findings to work