In partnership with
Most marketing teams aren’t short on data. They’re drowning in it.
Campaign reports, CRM exports, web analytics, customer feedback, channel performance, sales data — all telling you something, but rarely in one neat place.
You can give all of that to AI and ask it to “analyse the data”. But you’ll probably get a polished summary of things you can already see.
The better job is to ask AI to find the decision hiding inside the data.
What should you change? Where should you spend more or less? What needs fixing? What deserves another test? And where is the evidence simply not strong enough to make a call yet?
That turns AI from a reporting tool into a decision-support tool.
Try this prompt:
You are a senior marketing analyst. I’m going to give you marketing data from one or more sources.
Your job is not simply to summarise what happened. Your job is to determine what decisions this data can help me make.
Analyse the data and:
1. Identify the strongest signals, patterns, anomalies, and contradictions. Separate what the data clearly shows from what you are inferring.
2. Turn the important findings into decisions. For each one, explain:
- The decision I need to make
- The evidence relevant to that decision
- What the evidence currently suggests
- How confident we can reasonably be
- What information is missing
- Whether I can act now or should gather more evidence first
3. Finish with a short decision brief containing:
- Decisions I can make now
- Decisions that need more evidence
- The 3 most useful next analyses, questions, or tests
Prioritise findings that could materially change marketing performance. Ignore interesting observations that do not affect a decision.
Here is my data:
[PASTE OR ATTACH YOUR DATA]
The goal isn’t to squeeze more insights out of your dashboards. It’s to turn the evidence you already have into better decisions.
Happy prompting!
Stop losing deals you should be winning.
Bad leads. Slow deals. Objections you didn't see coming.
That's not a sales problem. You're selling to the wrong people.
Most founders never stop to define exactly who their product is actually for. So they pitch everyone, convert few, and wonder why the funnel's broken.
HubSpot for Startups built a free tool that fixes the root cause in 2 minutes. Paste your URL, answer a few quick questions, and get a clear profile of your best-fit customer.
200+ Proven Ways to Make Money With AI in 2026
The next wave of millionaires will be people who figured out how to make AI work for them.
The window to get ahead is still open. But not for long.
Here are 200+ proven ways to make money with AI in 2026.
Sign up for Superhuman AI, the free daily newsletter read by 1M+ professionals, and get instant access to all 200+ ways to profit from AI this year.