Public Brand Score Index
Every brand on this index is scored using the Net Entropy Score framework, computed via the 10-component formula documented in Appendix A of the working paper. Public signals only. No proprietary data, no paid engagement, no surveys. Each Predicted NES value is auditable back to its component breakdown.
Predicted NES is computed via the formula NES = (M + T + C + R + V) minus (IC + TD + AC + RR + OD). Each of the 10 components is scored 0 to 20 against a tiered data ladder. Growth Energy components: Momentum, Trust, Cohort Renewal, Recovery Capacity, Validation. Entropy Load components: Identity Confusion, Trust Deficit, Audience Concentration, Regulatory Risk, Operational Dependency. Public signals only.
The Convergence Gap is computed as Predicted NES minus Measured NES (where Measured NES comes from direct customer-cohort surveys via the v4.0 instrument). Convergence holds when the absolute gap is at or below 10. Positive divergence (gap above +15) means public signals overstate the delivered customer experience; this is the operational risk signal. Negative divergence (gap below −15) means the brand is stronger than its public footprint suggests.
| Brand | Predicted NES | Zone | Scored | Category | Case study |
|---|---|---|---|---|---|
Athletic Brewing Non-Alcoholic Beer · USA | +36 ±5 | Healthy Constrained | May 2026 | Beverages | Pending |
Graza Food & Beverage · USA | +31 ±5 | Healthy Constrained | May 2026 | Food & Bev | Pending |
Thorne Supplements · USA | +31 ±8 | Healthy Constrained | May 2026 | Supplements | Pending |
AlayaCare Healthcare SaaS · Canada | +29 ±8 | Healthy Constrained | May 2026 | B2B SaaS | Pending |
Olipop Beverages · USA | +28 ±5 | Healthy Constrained | May 2026 | Beverages | Published |
Huel DTC Nutrition · UK | +24 ±7 | Healthy Constrained | May 2026 | DTC Nutrition | Pending |
Eyewa DTC Eyewear · UAE | +22 ±10 | Healthy Constrained | May 2026 | DTC Eyewear | Pending |
Walmart Retail · USA | +16 ±5 | Fragile Equilibrium | May 2026 | Retail | Published |
ClickUp Productivity SaaS · USA | +15 ±8 | Fragile Equilibrium | May 2026 | B2B SaaS | Pending |
Wellbeing Nutrition Supplements · India | +13 ±10 | Fragile Equilibrium | May 2026 | Supplements | Pending |
Alleanza Healthcare Healthcare Provider · UAE / USA | +3 ±12 | Fragile Equilibrium | May 2026 | Healthcare | Pending |
Kapiva Supplements · India | +3 ±10 | Fragile Equilibrium | May 2026 | Supplements | Pending |
HealthKart Health Platform · India | -5 ±10 | Structural Decay | May 2026 | Health Platform | Pending |
All values are Predicted NES, computed via the 10-component formula in Appendix A of the working paper. The ± band reflects analyst-spread on public-signal scoring. US and UK brands carry ±5 to ±8 confidence; India and MENA brands carry ±10 to ±12 because Tier-3 and Tier-4 data substitution is more frequent.
The 10-component formula.
Each of the 10 components is scored 0 to 20 against a tiered data ladder. Growth Energy components add to the score; Entropy Load components subtract. Range is bounded −100 to +100 by construction. Empirically observed range across the brands above: −5 to +36.
Growth Energy (GE) · +0 to +100
Entropy Load (EL) · +0 to +100 (subtracts)
The data tier ladder
Each component is scored against the highest tier of data available. Lower tiers carry wider analyst-spread.
| T1 | Primary first-party data (financial filings, internal cohort data, audited customer surveys). |
| T2 | Direct customer review aggregations, mainstream press density, third-party rating density. |
| T3 | Public-signal inference from secondary sources, industry reports, founder interviews. |
| T4 | Analyst-applied default in the absence of higher-tier sources. |
The framework acknowledges Predicted NES is exposed to subjectivity in public-signal interpretation. Different analysts applying the same toolkit to the same brand may produce scores that differ within a noticeable range. The ± band on every score reflects this analyst-spread, narrowed where Tier 1 or Tier 2 data is available and widened where Tier 3 or Tier 4 fallbacks dominate. For the gold-standard reading, the framework offers a Measured tier: a direct customer-cohort survey via the v4.0 NES instrument. The per-brand convergence gap is the central diagnostic it surfaces.
Four zones. One direction.
NES zones map the relationship between brand consistency and growth dynamics. Higher scores indicate lower entropy load, more consistent customer experience, and stronger compounding of brand equity over time.
| Strong Compounding | +50 to +100 | Experience is highly consistent. Brand equity and growth efficiency reinforce each other. LTV/CAC ratios are structurally supported by the experience layer. |
| Healthy Constrained | +20 to +50 | Consistency is solid but entropy load is limiting growth potential. Most scaling brands operate here. The gap between current and compounding is the diagnostic opportunity. |
| Fragile Equilibrium | 0 to +20 | Positive but precarious. A single execution failure (a new channel, a rapid SKU expansion, a mis-hire) can shift the brand into structural decay. Positive Divergence risk is highest here. |
| Structural Decay | Below 0 | Inconsistency is the dominant signal. Entropy is actively compounding against the brand. Churn, CAC inflation, and pricing power loss follow in sequence. |
Public signals only.
Important disclosures
This analysis is part of the NES Public Research Programme. It is based only on publicly available customer signals, including reviews, ratings, marketplace feedback, app-store data, public comments, and observable brand or operating signals where available. NES has not accessed internal company data unless explicitly stated. NES scores and interpretations are directional analytical readings, not statements of fact, investment advice, financial recommendations, legal conclusions, product-quality certifications, or claims regarding company performance. The analysis is intended for research, benchmarking, and discussion of customer-experience consistency patterns.
All diagnostics on this page are Predicted NES scores, computed via the 10-component formula in Appendix A of the NES Working Paper v1.0.1 (SSRN Abstract 6667158, April 2026, revised May 2026). Predicted NES is exposed to subjectivity in public-signal interpretation; different analysts applying the same toolkit to the same brand may produce scores that differ within a noticeable range. The ± band on each score reflects this analyst-spread. Scores are directional and reflect conditions at the time of analysis.
No brands listed on this page have entered into any paid, advisory, or consulting engagement with the author in connection with the diagnostic presented here, unless explicitly stated in the linked case study. Outreach letters were sent to some companies as part of the research process; the absence of a response does not constitute a confidential relationship, and the diagnostic data remains publishable as independent public research.
This page is not investment research and should not be relied upon for investment decisions. NES has not reviewed non-public financial, operational, legal, regulatory, or management information for any named brand. Where brands are public, IPO-bound, institutionally funded, or operate in regulated categories (healthcare, financial services, supplements, education), readings should be interpreted with additional caution and validated against internal data before acting upon them.
Brand names and references on this page are used for analytical identification and commentary only. NES is not affiliated with, endorsed by, sponsored by, or authorized by the companies analyzed unless explicitly stated. All brand names and logos are the property of their respective owners.
NES (Net Entropy Score) is a trademark filed in India under Class 35, Application 14178358, filed 28 April 2026. The NES working paper is available at SSRN (Abstract ID 6667158).
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