Financial services · Billboard campaign
Four concepts. Same winner, same order.
JaredIQ and a recruited human panel named the same winner and ranked all four billboard concepts the same way.
How we know it works, and how you’ll know.
JaredIQ shows you how confident it is in every result, and tells you when a call is too close to name a winner.
Case studies
What it got right.
Each test is reported the same way: what we compared, and what held up.
[Category] · [Asset type]
[Headline for case study 2]
[One or two plain sentences on what was tested and what held up.]
[Category] · [Asset type]
[Headline for case study 3]
[One or two plain sentences on what was tested and what held up.]
The confidence ladder
JaredIQ will refuse to declare a winner.
Every verdict lands on one of four rungs, based on panel agreement and the margin between options.
Declared · Measured
Strong agreement and a clear margin. Direction and size are both quotable.
Declared · Provisional
The direction is usable. The exact point spread is not.
Too close to call
The options are separated by less than this method can resolve. No winner is named.
Tie · Low agreement
Something led, but it led a divided panel. Reported as split, not a win.
What JaredIQ does not do
Every synthetic-research vendor will tell you what their tool can do. We’ll also tell you what it can’t, because you’re going to find out either way.
It does not predict sales lift or market share
No synthetic panel can. It predicts how a panel of your target consumers would react to your creative.
It doesn’t predict how shoppers move through a real store
Panelists react to the renders or designs as shown.
It doesn’t tell you what “X% of your customers” chose
Percentages are panel lean. Winners and rank order are validated; magnitudes are presented as ranges.
It doesn’t replace your research vendor
It’s the screener. Iterate and improve your creative, and escalate close calls to a live human panel.
FAQ
The questions we hear most.
Does JaredIQ replace research with real people?
No. It’s the screener. Use it to narrow options and improve your creative, then escalate close calls to a live human panel.
How accurate is it?
We don’t lead with a single accuracy number. Every verdict shows its confidence rung, consistency rate, and position effect, and a close call is reported as close. Our case studies show where it matched human panels.
How is this different from asking a chatbot?
Panelists are built, not prompted: each starts from a real segment and Census data, with values and personality aligned. Every study is run more than once with the order changed, and answers that don’t hold up are left out of the verdict.
Are the respondents real people?
No. They’re modeled consumers, and we say so plainly. You can open any panelist, read who they are, and see exactly what they were asked.
Is the panel big enough?
Panel size depends on your plan. Reports show head counts with confidence intervals, so you can judge the result for yourself.
What happens to our creative and results?
They stay in your engagement. Nothing trains models or crosses between clients.
Enterprise · Getting started with confidence
Enterprise engagements start by proving it on your own history.
First
We schedule a demo for your team and scope an Enterprise engagement.
Then
We scope the Calibration Sprint together: 10–15 past creative decisions with known outcomes and success criteria.
Then
We scope an annual plan, crediting the Calibration Sprint to the total.