Most teams adopt AI tools before they have decided what problem those tools should solve. This engagement starts from your business goals and works backwards: what your customers actually need, where your funnel leaks, and which parts of your marketing are worth automating first.
What you gain
The problem
Teams are publishing more, testing more tools, and spending more time in dashboards than ever — but the connection between that activity and revenue keeps getting harder to explain.
The approach
I audit what you already have, map how customers really move from first touch to signed deal, and identify the handful of changes that will move the numbers. AI and automation are applied where they compress time or improve decisions — not everywhere at once.
What I help with
Concrete artefacts, not a summary slide. Everything below is documented and handed over.
AI marketing audit of current channels, tools and workflows
Customer journey analysis with mapped drop-off points
Written marketing strategy with prioritised initiatives
AI tool stack recommendation with cost estimates
Automation opportunity map ranked by effort and impact
Content strategy and topic architecture
Lead generation strategy with qualification criteria
KPI framework and reporting structure
30/60/90-day action plan with owners
The ai digital marketing strategy engagement in five phases.
Interviews with your team, access to analytics and CRM, and a review of current campaigns, content and tooling.
I map the customer journey against your data to find where attention, conversion or retention is actually being lost.
A written plan: positioning, channel priorities, automation opportunities, budget guidance and a measurement model.
A working session with your team to pressure-test the plan, assign owners and agree on sequencing.
You receive the full strategy document, tool recommendations and a 30/60/90-day plan your team can execute without me.
Results depend on your baseline, so these are the changes the work is designed to produce rather than a promised percentage.
A shortlist of initiatives with expected impact instead of a backlog nobody prioritises.
Spend allocated against evidence from your own data, not channel fashion.
One plan, shared definitions, and reporting everyone reads the same way.
This engagement fits best when at least two of these describe your situation.
No. Part of the work is deciding whether AI is the right answer for a given problem. Some of the highest-impact recommendations in a strategy engagement have nothing to do with AI at all.
Bring your current setup and the outcome you need. The first call is about deciding whether this engagement is the right one — not about selling you into it.
Typical reply within one business day