#01-06The ledger
Data & Intelligence
Know what's actually working, and what to test next.
Every system we build should teach us something. We combine research, analytics, experiments and AI to keep improving the answer: dashboards people actually read, attribution that's honest about its limits, and reports that lead to decisions.
§ 01 · The problem
Do you know what's actually working?
- 01
If your data lives in five places and the answers live in none.
- 02
If nobody is sure which marketing actually makes money.
- 03
If reports take days to put together and rarely change anything.
- 04
If decisions run on gut feel because the numbers aren't trusted.
§ 02 · Who it helps
Who it helps.
- A
Owners who want a clear view of the business.
- B
Marketing teams that need to show what works.
- C
Companies with lots of data and little clarity.
§ 03 · The steelyard
Growth isn't a campaign. It's a learning system.
Without information you trust, it's hard to tell a good idea from a lucky month.
good idea, or lucky month?
01Questions
What you want to know.
- Who's buying?
- Why?
- Why not?
- Where do they drop off?
- Which marketing makes money?
- Where is time leaking?
02Measures
What we count, agreed up front.
- Enquiries
- Sales
- Costs
- Conversion
- Time spent on reporting
03Decisions
What changes because of it.
- Keep what works.
- Change what doesn't.
- Scale what matters.
- What do we test next?
§ 04 · Our approach
How we approach it.
- 1
Ask the right questions
Who's buying? Why? Why not? Where do they drop off?
- 2
Connect the data
Bring the sources together so the numbers agree.
- 3
Make it readable
Dashboards and reports built for the people who decide.
- 4
Test and learn
Run experiments and keep what works.
§ 05 · What the work can include
What the work can include.
- Marketing analytics
- Dashboards
- Customer analytics
- Attribution
- Experimentation
- Reporting automation
- Competitive monitoring
- Growth intelligence
§ 06 · What you could get
What you could get.
- A measurement plan and tracking set-up
- Dashboards for the questions you actually ask
- Attribution and reporting
- An experimentation plan
- Regular reviews that end in decisions
§ 07 · How we judge it
How we judge whether it's working.
Whether the numbers are trusted and used: decisions made, experiments run and reporting time saved.
§ 08 · Related capabilities
Related capabilities.
- Unit #01-01The whole houseGrowth & StrategyFind out what's really holding growth back, and decide what to fix first.More on this
- Unit #01-05The back roomAI & AutomationTake away the work that shouldn't need a human, and keep people where they matter.More on this
- Unit #01-03The five-foot waySearch & DiscoveryBe found when people are looking, on search engines and AI assistants alike.More on this
§ 09 · Questions
Fair questions.
We already have Google Analytics. Isn't that enough?
It's a good start. The gap is usually connecting it to enquiries, sales and costs, so you can see what actually makes money.
Do you build dashboards?
Yes, for the questions you actually ask, and simple enough that people use them.
What is attribution?
Working out which marketing activity contributed to a sale. No model is perfect; we'll help you pick one that's honest about its limits.
§ 10 · Next step
Tell us what's holding you back.
- We listen before we prescribe.
- We'll tell you if the fix is simpler than you think.