Deep Implicit Research.
The subconscious mind is the driving force of decision making. That's why we made it the center of our proprietary research approach.
Deep Implicit Research happens in three stages.
Deep Implicit Research is SUPRA's proprietary framework for measuring what consumers can't or won't say — a modern, evidence-based form of implicit and motivational research that accesses the System 1 layer driving roughly 95% of decisions. It merges qualitative neuroscience, quantitative implicit measurement, and Causal AI across three stages: Frame, Measure, Infer.
Understanding core aspects qualitatively.
Deep Implicit Download is our proprietary method to qualitatively reveal subconscious drivers of customer decision making.
Stated-preference qualitative methods (focus groups, traditional in-depth interviews) ask consumers to articulate what they cannot access. We use neuroscience-informed projective techniques to reveal what conscious questioning can't reach.
It helps us fill the (often vast) white spots of expert knowledge — the place where strategy meets the limits of stated preference.
Sizing the subconscious perceptions, associations, and opinions.
Implicit Association Testing (IAT) is used to quantify the subconscious — brand associations, touchpoint contacts, willingness to buy and to pay.
Reaction-time-based methodology measures cognitive associations that the conscious mind can't deliberately mask. The faster the response, the stronger the underlying association.
This is where stated preference gets replaced with measured behavior — at scale and in milliseconds.
Revealing invisible causal links between marketing actions and market outcomes.
SUPRA Causal AI finds the causal links between marketing actions, perceptions, and market outcomes — ultimately discovering causal subconscious mechanisms.
Facts can be measured. Cause-effect can not — it needs inference. Most marketing analytics confuses correlation with causation. Causal AI doesn't. It's the difference between describing the past and choosing the future.
The output isn't a survey result or a regression coefficient. It's a decision-grade map of what drives behavior in your category — and the levers you can pull.
About SUPRA
Why we built our consulting practice on causal AI and implicit measurement — and what we don't do.
Learn more →About Causal AI
What causal AI means for marketing — and why it's different from predictive AI, generative AI, and machine learning.
Read the guide →About AI.gency
Our execution department. From insight to in-market activation — performance-based engagements.
Meet the team →"Facts can be measured. Cause-effect cannot — it needs inference."
Where does your research strategy leak value?
An interactive 5-minute diagnose chat — for marketing leaders who want to test their current research setup against the say-do gap.
Deep Implicit Research — FAQ
What is Deep Implicit Research?
Deep Implicit Research is SUPRA's proprietary framework for measuring what consumers can't or won't say. It's a form of implicit and motivational research that accesses the subconscious System 1 layer driving roughly 95% of decisions, working in three stages — Frame, Measure, Infer — combining qualitative neuroscience, reaction-time-based implicit measurement, and Causal AI.
How is it different from focus groups and traditional qualitative research?
Focus groups ask consumers to articulate motivations they can't consciously access, so they capture the story people tell, not the driver of the behavior — the say-do gap. Deep Implicit Research uses neuroscience-informed projective techniques and reaction-time measurement to reveal subconscious associations directly, then Causal AI to infer what actually drives outcomes.
What is implicit measurement?
Implicit measurement quantifies subconscious associations by measuring reaction time rather than asking directly. In the Implicit Association Test (IAT), response speed reveals the strength of an association the conscious mind can't deliberately mask — how SUPRA measures brand associations and willingness to pay without relying on stated preference.
Is Deep Implicit Research the same as motivational research?
It's a modern, evidence-based form of motivational research. Classic motivational research sought the subconscious "why" through depth interviews; Deep Implicit Research pursues the same goal but replaces interpretation with measurement — implicit reaction-time testing at scale — and adds Causal AI to separate true drivers from correlation.
Three diagnostic angles. One AI-powered report.
The fastest way to test whether Deep Implicit Research is the right methodology for the decision you're facing. Tell us your brand and category — our AI applies Frank's frameworks and emails you a custom diagnostic in 5–10 minutes.
Customer Blind Spot Analysis
We reveal where your marketing misses what truly drives customer decisions — the gap between what you optimize and what consumers actually respond to.
AI for Marketing Diagnostics
An AI roadmap: where can AI improve your marketing effectiveness and efficiency — and where is it just expensive theater?
Growth Bottleneck Identification
We identify the single focus theme that will unlock maximal growth — the one decision that, if made right, changes the trajectory.