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THE BUSINESS OF EXPERIENCE

The Q Branch journal for leaders of experience-led businesses.

Where Brand, People and Operations meet the customer.

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Market Research Tells You What Customers Say. Competitive Intelligence Shows What Rivals Are Doing

8 hours ago
2 min read

A customer says they want more flexibility. A competitor launches a flexible package. The leadership team sees two pieces of evidence pointing in the same direction and begins planning its own version. The conclusion may be sensible, but several important questions remain unanswered: what flexibility means, whether customers will pay for it and whether the competitor can deliver it profitably.

Market research and competitive intelligence answer different questions. Customer research can explore needs, experiences and choices. Competitive intelligence can examine observable offers, messages and market activity. Both require interpretation, and both can mislead when their limits are ignored.

The distinction in the headline is a useful starting point rather than a strict boundary. Market research can include observed behaviour, while competitor research can include what customers say about alternatives. The value lies in combining perspectives without treating one as a substitute for the other.

Use disagreement as a research lead

If customers say a feature matters but few buy it, investigate the circumstances. The price, conditions or wording may change its appeal. People may also find a proposition attractive in a conversation without prioritising it when making a real purchase.

If rivals invest in a feature customers rarely mention, do not assume the customers are wrong. The feature may serve an operational purpose, a different audience or a commercial model you cannot see. It may also be an unsuccessful experiment. Visible investment is evidence of a decision, not proof of wisdom.

A useful research meeting places these sources beside one another. What did customers say? What did they do? What are competitors offering? What can your operation deliver? Where do those accounts agree, and where do they create a question worth testing?

Consider a hypothetical spa membership. Interviews may reveal interest in regular visits, competitor research may reveal several subscription offers and your capacity data may show constrained weekends but available weekdays. The opportunity, if one exists, is shaped by all three. A generic membership copied from the market could miss the practical fit.

Build a small test around the unresolved question

Choose the assumption most capable of changing the decision. If demand is uncertain, test a realistic proposition with an appropriate audience. If delivery is uncertain, run a limited operational pilot. If contribution is uncertain, model the relevant costs and observe them during the test.

Keep the measures connected. Interest without purchases, purchases without contribution and contribution accompanied by service failures tell different stories. Do not select whichever metric makes the pilot look successful.

Record what the test did not establish. A small pilot can justify the next stage without proving a complete rollout case. Learning is useful when the organisation knows which decisions it supports and which still need evidence.

Q Spy can contribute the external view. Combine it with customer and operating evidence so the next move reflects the market your business actually serves, rather than the story leadership finds easiest to believe.

Illustrative stock photograph. Photo: https://kaboompics.com/ via Pexels. Image licence.

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