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Brand Tracking & Consumer Perception Analytics

A continuous measurement system for brand health, not isolated snapshots.

Track how customer perceptions evolve across brand trackers, awareness surveys, social exports, reviews, customer interviews, focus groups, and support interactions. Steeped AI identifies emerging associations, emotional themes, brand attributes, purchase drivers, and competitive positioning while automatically validating statistically meaningful changes over time.

Instead of isolated reporting snapshots, marketing teams gain a continuous measurement system for brand health. Every wave is comparable to the last, so a shift in how customers describe your brand is caught the moment it becomes real, backed by exact counts, citations, and university-grade significance testing you can take to the leadership team.

AI Report
Brand Health Shifts Across Quarters
This report tracks 6 quarters of brand tracker and social data, flagging which perception shifts are statistically real.
"Trustworthy" associations rose to 44% of mentions,1 up from 31% two quarters ago2 and strongest among urban millennials.3
"Overpriced" language recurs as a purchase barrier. It accounts for 27% of detractor comments,4 22% of churn mentions,5 and correlates with a 1.9x lower repurchase intent.6

AI Topic Mapping

Use Steeped AI's AI topic mapping to convert open-ended survey responses, reviews, and social posts into measurable brand attributes, emotional themes, and purchase drivers. Quantify how often each association appears so you track what customers actually feel, not just the words they use.

brand attributeemotional themepurchase driver

Statistical Significance Testing

Steeped AI's automated significance testing confirms which wave-over-wave shifts are real movement versus sampling noise. A university-grade, 3-part framework keeps every brand-health call defensible, so you act on a genuine change in perception, not a bump in one survey.

Real Shift Confirmedp < 0.01 ยท FDR corrected

Data Preparation

Use Steeped AI's data preparation to reconcile inconsistent wave labels, survey scales, and source tags across trackers, panels, and social exports. When every vendor formats its export differently, Steeped AI standardizes them first, so your trend lines compare like with like.

Wave labels "Q1 24", "2024 Q1" and "Wave 1" were unified
Rescaled a 1-7 tracker onto the 0-10 scale used elsewhere
Mapped source tags "IG", "Insta" and "Instagram" to one label
Removed column "raw_verbatim" because 79% of values were blank
Duplicate respondents across panels were merged into one
generating new dataset
NEW DATA

Customer Journey Mapping

Apply Steeped AI's journey mapping to connect awareness, consideration, preference, and purchase into one measurable brand journey. See where perception strengthens or breaks between stages, so you invest in the moments that actually move customers toward your brand.

drop -18%awarenesspurchaseRecall 61%

The insights are already in your data.

Ask your data anything. Get real findings ranked by impact, with AI reports your team can present and share on the spot.