Every marketing decision that matters rests on one question: what does the buyer actually think? Not what we assume they think, not what the last deal taught us, but what a representative set of them would say if you could put the question directly to them. That is what primary research delivers and nothing else does. Secondary data tells you what already happened. Primary research tells you why, and what will happen next.
The problem is that primary research is brutally hard to run well, and it gets exponentially harder the higher up the org chart you go. Surveying consumers is one thing. Getting a statistically meaningful panel of VPs of Construction, project executives, and technology decision-makers at mid-market and enterprise builders is another entirely. These people don't answer cold surveys. They screen their calls. Their time is measured in billable exposure, and a thirty-minute interview can cost more in scheduling friction and incentives than most research budgets absorb comfortably. Recruiters charge premium rates precisely because senior B2B respondents are scarce, guarded, and expensive to reach. A single well-run executive interview can take weeks to book. A panel of a hundred can take a quarter and a five-figure budget, and by the time the findings land, the market question that prompted them has often moved.
So teams do the rational thing and cut corners. They interview three customers and call it a pattern. They lean on the loudest voice in the last sales call. They substitute the opinion of whoever is in the room for the judgment of the market. Every one of those shortcuts introduces the exact bias that primary research exists to remove.
The Synthetic Buyer Lab is built to break that tradeoff. It models a panel of 1,000 construction decision-makers — spanning roles, seniority, company size, region, technology posture, and buying priorities — grounded in the real structure of the market rather than invented from thin air. Each modeled buyer carries a coherent profile: what they care about, what they're skeptical of, what would move them, and what would make them walk. And because the panel is modeled, you can do the thing that is nearly impossible with live executive research: query it instantly, at scale, as many times as you need.
You can run a survey across all thousand and see how sentiment splits by segment in seconds. You can filter to the exact buyer you're trying to win — say, technology-forward project executives at large commercial GCs — and interview that cohort live, iterating your questions in real time the way you would in a great discovery call, without the weeks of recruiting. You can pressure-test a message, a positioning angle, or an objection-handling approach against a representative cross-section before a single dollar of campaign spend goes out the door. It turns research from a slow, gated, expensive event into a fast, repeatable input you can actually build a marketing program around.
A necessary note on what this is and isn't. These are modeled respondents, not real individuals, and the Lab is a directional instrument, not a substitute for the moment when you do need to put a real executive in the room. What it does is let you get the thinking right first — sharpen the hypotheses, kill the weak ideas, and arrive at live research with far better questions. Used that way, a modeled panel doesn't replace primary research. It makes the primary research you do run dramatically more valuable, because you stop spending your scarcest, most expensive respondents on questions you could have answered before you ever picked up the phone.
This is a working demonstration built for Buildots' North American field marketing. Explore the full panel below.