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What is market intelligence, and where does public data fit in it?

Key takeaways

  • Market intelligence is what a business knows about its market, customers and competitors, gathered so it can decide where to launch, whom to target and what to spend.
  • The American Community Survey, free from the U.S. Census Bureau, has run nationwide every year since 2005 and covers more than 40 topics, including income, employment and housing.
  • Census Bureau estimates show the South grew by 6.0% between April 2020 and July 2025, nearly double the nation's 3.1%.

Market intelligence is what a business knows about the market it sells into: how big it is, who the customers are, what competitors are doing, and how all of that is changing. It is gathered so a team can make decisions with it, such as where to launch, whom to target and how much to spend.

Some of that knowledge has to be bought or researched. A good share of it is already published, free, by government statistical agencies. This post sets out how market intelligence relates to market research and consumer insights, and where public data fits.

What does market intelligence include?

It helps to split it into four areas:

  • The market. How many potential buyers there are, where they live, and whether that number is growing.
  • Customers. Who buys, what they need and how they decide.
  • Competitors. Who else sells to the same people, at what price and with what message. Watching competitors is one part of market intelligence, not the whole of it.
  • Conditions. Changes in the population, the economy or regulation that shift any of the above.

Is market intelligence the same as market research?

They overlap, but they are not the same thing. Cambium AI's guide to market research describes market research as the systematic collection, analysis and interpretation of information to reduce uncertainty before decisions such as launching a product or entering a market. A research project usually starts with a set question and ends with an answer.

Market intelligence is the wider, ongoing picture that those projects feed into. A survey testing three names for a new product is market research. Knowing, quarter after quarter, how big your market is and who is in it is market intelligence.

How is market intelligence different from consumer insights?

Consumer insights are narrower. They are findings about why people buy: the need behind a purchase, or the reason a group passes over an offer. They usually come from talking to people, through interviews, surveys and reviews.

Market intelligence holds those insights alongside the size and shape of the market. An insight tells you why a group acts as it does. Market intelligence also tells you how many people are in that group, and where they live.

Where does public data fit in market intelligence?

Public data covers the market side: everyone who could buy, not only the people who already have. If the term is new, what public data is covers the basics. Three free sources from the U.S. Census Bureau do much of the work.

  • Who lives where. The American Community Survey took over from the detailed long form of the once-a-decade census after 2000, and has run nationwide every year since 2005, after a decade of testing. It collects information from a sample of households across the 50 states, the District of Columbia and Puerto Rico, on more than 40 topics including education, employment, income, housing and transportation. The Bureau names businesses among the people it helps make decisions.
  • How a region is changing. The Population Estimates Program produces yearly estimates of the population for the nation, states, metro areas, counties, cities and towns. Its latest release, Vintage 2025, breaks county estimates down by age, sex, race and Hispanic origin.
  • How many businesses serve an area. County Business Patterns is an annual series covering establishments with paid employees, by industry and employment size, with their employment and payroll. Its tables are on data.census.gov from 2012 to the latest reference year.

Here is the kind of change this data picks up. The Census Bureau's Vintage 2025 population estimates, released on 25 June 2026, show the South grew by 6.0% between 1 April 2020 and 1 July 2025, nearly double the nation's 3.1% growth. It was the only one of the four census regions to grow in all five age groups the Bureau looked at. A regional plan built on 2020 figures would be built on a market that has since moved.

Cambium AI's guide to using public data before you spend on surveys suggests an order for this work: public data first for direction, then specific hypotheses, then surveys and interviews to test them.

How do you check a market intelligence claim before acting on it?

A figure in a report or a slide earns trust when you can trace it. Before a claim shapes a budget, ask four questions:

  1. What is the source? A source is something a colleague could open and read for themselves.
  2. When does it describe? Check for a newer release. The Census Bureau's 2025 American Community Survey 1-year estimates, for example, are now available.
  3. Where does it describe? A national figure does not describe one region, and a regional figure does not describe one county.
  4. Is the comparison like for like? The Census Bureau advises comparing its population estimates from year to year only within the same vintage, because each new release revises earlier years.

The same questions apply to audience profiles. Cambium AI's five checks for any persona walk through them in more detail, including margin of error.

What public data will not tell you

Public data describes populations and businesses. It does not describe a competitor's plans or a customer's reasons. It also arrives with a delay: the latest population estimates describe July 2025. Survey figures are estimates, and each comes with a margin of error. Use public data to size and locate a market, then talk to customers to learn why they buy.

Where Cambium AI fits in market intelligence

Public data covers the market side of market intelligence, but it arrives one table at a time: age in one, income in another, how people travel to work in a third. None of them shows how those facts combine for the same person. Cambium AI puts them back together. It builds synthetic populations from verified public data, so each synthetic person carries details that actually occur together in the real population. A marketing team can then ask who actually lives in a market, rather than working from averages or assumptions, and test an audience and a message against a model of the US population before committing spend. A campaign decision is safer when every figure under it can be traced to a source anyone can open. For teams planning a place rather than a campaign, Cambium AI also makes EIKOS, which shows how an area's residents are likely to spend an ordinary day. Book an EIKOS demo to see it for your area.

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