Is the brand healthy — and what do we fix first?

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.

Why the old way fails

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.

The path

How the chain runs

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

Key numbers
10亿+netizens reachable by ad recruiting (97% of 18-45s)
24项sample-quality checks in the screening system
10,000+targeting tags, incl. 400M+ lower-tier users
6000+projects: 83 countries, 120 categories, 33 Fortune 500s
Field cases (anonymized)
A beauty group

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.

A skincare brand

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 beauty brand switching BHT vendors

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.

What you get

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.

Related solutionsU&A Usage & Attitude ResearchHow does the target audience know, buy and use the category?Persona Definition & SegmentationWho exactly is my consumer — and which segment first?

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