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Research InsightsWhen the cost and time of a study collapse, clients don't just save money. They ask more questions. One team went from two studies a year to more than forty, on the same budget.
The number of combinations that matter is always larger than the traffic you have to test them. So you test what you can afford, not what matters. Research is how you escape the trap.
We fielded one 40-question study two ways at once: as a chat conversation and as traditional web forms. The toplines tied. Who finished did not — and two of our own claims didn't survive the test.
Break down the production cost of one custom study and the picture is stark: most of it is manual labor between tools, not methodology. Remove the relay and the economics change fast.
Run the numbers in the unit you already budget in. A full research program, message, creative, and live lift, costs under a dollar on the effective CPM.
Brand trackers are the single biggest line item in most research budgets. The economics of always-on monitoring make the traditional model hard to justify.
Researchers don't judge a platform on its AI demo. They judge it on whether they can ship the report at the end. Most AI-first tools lose them on the reporting step.
Most ad-effectiveness teams treat exposure history as something to join in after fieldwork. That's why their lift studies measure averages instead of dose, recency, and decay.
Dashboards show what happened. Insights explain why it matters and what to do about it. Most research teams have confused the two.
MaxDiff is one of the most powerful preference ranking methods in research. It used to require specialty software and a stats team. Now it doesn't.
