Tracking located weak purchase-to-usage and consideration-to-preference conversions for a short-term fix, while image-driver analysis set "premium quality" as the long-term brand path.
BHT Brand Health Tracking
Legacy BHT fails three ways: panelist data you can't trust, 100-metric questionnaires answered carelessly, and number dumps with no attribution. This BHT rebuilds the chain — real consumers, light modules, and diagnosis you can act on.
Panel-based BHT runs on professional respondents with chronic quality issues; hundred-metric questionnaires collect slowly and degrade as fatigue sets in; turnaround is too long to act on; and deliverables are static numbers — fragmented, unattributed.
How the chain runs
- 01
A "1+3 modules + AI" design covers brand health 360°: quarterly KPI core tracking, an annual brand-equity deep dive, campaign tracking on the marketing calendar, and an annual brand-assets evaluation — each module light enough to answer honestly.
- 02
Ad-based recruiting replaces panels: 45+ media partners reach 1B+ netizens with 10,000+ targeting tags (4B00M+ lower-tier users), interest-driven instead of incentive-baited, with 24 quality checks and A/B/C/D sample grading — plus a sample-diagnosis report for the brand.
- 03
ezTest questionnaires (19 question types, 17 logic types, voice-to-text) plus ezTalk 100-person sessions probe why perception is weak, with NLP word clouds in 5 seconds and opinion summaries in minutes.
- 04
Multiple models turn tracking into action: funnel and barrier diagnosis, brand-switching matrices, a BEI equity index (TOMA + consideration share + OAR), image-driver mapping, exposed-vs-unexposed uplift and media-overlap diagnosis.
- 05
ezData dashboards show fieldwork and metrics live with self-serve crosstabs that compound into a data asset; TrendAI adds social and commerce big data, refreshing the competitive set as the category moves.
A 5% competitor TOMA jump looked like a sampling artifact — until the data traced it to a rival launch and new ambassador, refocusing the brand on competitive response.
A parallel test against the incumbent panel matched on TOMA/UBA rankings — and where P1Y purchase rates diverged, Quick Decision's numbers tracked actual sales rankings closer. The brand switched.
A standing brand-health system: live dashboards, module-level diagnosis (funnel, image, campaign, equity) and AI trend reports — real consumers instead of panelists, attribution instead of number dumps, a compounding data asset instead of scattered decks.