What We Have Learned from 1,500+ Projects

Ten observations that keep recurring in B2B market research and strategy

No two projects are identical. Industries, technologies, geographies and strategic questions differ too much for a standard formula. Yet across more than 1,500 projects, certain patterns recur again and again. The following observations are not universal laws. They are practical lessons that help structure B2B research more effectively and turn information into decisions.

Best Practices

1. The real question often sits behind the briefing

A request for market size may actually be a market-entry decision; a competitor analysis may be a positioning problem. Clarifying the decision behind the stated task is often the highest-leverage step at the beginning.

2. Market definition beats data volume

A beautifully sourced number is of little value if the market has been defined incorrectly. Industry, application, geography, customer size and technology boundaries should be explicit before research starts.

3. Internal market knowledge is valuable – but not neutral

Sales teams and product experts hold information no external source can replace. At the same time, their view is shaped by existing customers, past wins and losses and the company’s current position. Treat internal knowledge as strong evidence and as a source of hypotheses, not as the entire market picture.

4. Customers do not always do what they say

Stated preferences and actual purchasing behavior can differ. That is why interviews become more useful when they ask for concrete past decisions, trade-offs and examples rather than only future intentions.

5. Competitors are more than familiar brand names

Customers may compare a supplier with substitutes, internal solutions, local specialists or simply the option of delaying the investment. Competitive analysis should start from the customer’s choice set, not from the industry’s most visible logos.

6. Large markets are not automatically good markets

Size without accessibility, investment pressure, willingness to switch and strategic fit can be misleading. Smaller segments can be more attractive when the company has a credible right to win..

7. Good projects make uncertainty visible

Ranges, scenarios and assumptions are not weaknesses. They show where the evidence is strong and where management should remain cautious. False precision is more dangerous than transparent uncertainty.

8. One good interview can turn a hypothesis

A single conversation does not prove a market pattern. But it can reveal an overlooked mechanism that deserves immediate validation and changes what the team looks for next.

9. Recommendations have to fit the organization

The theoretically optimal strategy is not useful if the organization cannot execute it. Good recommendations consider capabilities, sales model, resources, timing and internal decision processes.

10. The value is created after the presentation

A project becomes valuable when insights change priorities, budgets, targeting, product decisions or commercial behavior. Delivery is a milestone; implementation is where research creates impact.