North Star · A Clear Bridge Trade product

Find the smallest credible move.

North Star turns scattered market signals into ranked opportunities you can inspect. Every recommendation exposes its sources, method, confidence, and evidence.

No first-party data requiredEvidence linkedU.S. market focus

Executive diagnosis

Category opportunity map

High confidence

1

Retailers

10–20

Competitors

Up to 5K

Signals

Highest-confidence whitespace

Solve the decision friction competitors leave unexplained.

rank_score0.82
SRC-0418SRC-0420marketplace_scan · review_nlp

Demand

Volume, trend, seasonality

Customer

Needs, objections, language

Competition

Price, assortment, positioning

Strategy

Priorities, risks, next tests

Method

A complete research workflow, not a generic dashboard.

Each conclusion carries evidence, confidence, risk, and a smallest credible next action.

01

Frame the decision

Define the market, customer hypothesis, goals, constraints, and competitor seeds.

02

Build the evidence base

Collect cross-retailer products and reviews, search demand, public conversation, and optional customer data.

03

Choose the next move

Rank whitespace, diagnose brand fit, and turn the strongest evidence into a practical strategy.

Sample deliverables

Download client-ready examples generated from seeded synthetic data.

These polished samples show how North Star adapts the final deliverable as the available input data gets stronger. Each example is synthetic and available in native English and Simplified Chinese.

Synthetic sample

Kitchen Storage

Kitchen Storage Zero-Data Strategy Brief

A sample North Star deliverable for a seller entering the U.S. kitchen storage market with no owned sales, review, or search-performance data.

Input level
Zero first-party data
Source mix
Public market signals
Evidence
1,840 rows · 5 sources · 78% confidence
Method
marketplace_scan + review_nlp + community_language
Synthetic sample

Beauty & Personal Care

Beauty & Personal Care BYO Positioning Brief

A sample final deliverable for a brand that contributes a seeded D2C export and wants sharper U.S. positioning before scaling paid traffic.

Input level
Bring-your-own upload
Source mix
Seeded upload plus public proof
Evidence
620 rows · 4 sources · 82% confidence
Method
seeded_upload + review_nlp + objection_clustering
Synthetic sample

Pet Supplies

Pet Supplies SQP Search Diagnostic

A sample North Star deliverable showing how seeded SQP-style query data can turn search-performance rows into a practical merchandising and content decision.

Input level
Amazon SQP search-performance data
Source mix
Seeded SQP query rows
Evidence
128 rows · 3 sources · 85% confidence
Method
sqp_query_diagnostics + share_gap + evidence_support