If you want a quick read on whether a team uses its data, listen for the excuses. I have heard every one of these, and I have used a few myself.
The question underneath all of them is simple: are you being productive, or just very busy?
- “Traffic is up.” Up to what? Traffic that never turns into a conversation is a vanity number.
- “We hit our lead goal.” Leads by volume, or leads that become customers and stay?
- “No budget until sales close more.” Sales will close more when marketing can show which leads are worth chasing.
- “Nobody has time to pull the data.” A weekly hour with one clean report beats a quarterly scramble.
- “The web person is slammed.” Then stop asking for ten reports and ask for the three that matter.
- “More content will win.” More of what works will win. More of everything is just noise.
- “The dashboard covers it.” A dashboard shows what happened. It rarely says what to do next.
- “Sales knows which leads are good.” Sales has strong opinions. Treat them as hypotheses and test them.
- “Cost per lead looks fine.” Cost per lead says nothing about the value of the customer on the other end.
- “The board is happy.” Today. Boards like forward-looking answers, and you cannot give one without the numbers.
What to do instead
Track leads and customers by value and retention, not just volume. Connect the data from first click to invoice using common keys. Test a few channels early, then cut the ones that do not pay. And when your gut and the numbers disagree, run the test.
The 2027 mentality
Most of the old excuse list is about effort: nobody has time to pull, join and read the data. That is exactly the work AI is good at now. Going into 2027, the question is no longer “can we afford an analyst?” It is “what would we change this week if we could ask our own data a plain question and get a straight answer?” Start there. Keep a human in the loop, and keep the receipts.