Little Red Book Operations Guide:AI Intelligent Product Selection × Three-Circle Positioning Method

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Post

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Published

date

Feb 5, 2024

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LRB0016

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Little Red Book, AI Intelligent, Product Selection, ChatGPT

AI Intelligent Product Selection × Three-Circle Positioning Method: Complete Guide to Mining Little Red Book Blue Ocean Opportunities

I. Data-Driven Product Selection Fundamental Logic

Demand Triangle Model Validation Method:

Real demand validation: 5118 long-tail keyword daily average searches >500

Competition intensity assessment: Huitun data notes/search volume <0.3

Commercial value calculation: CPE (cost per engagement) <1 yuan

Tool matrix configuration plan:

Demand insight layer: 5118+ChatGPT

Competition analysis layer: Qiangua+Chanxiaohong

Data verification layer: Huitun+Kaogujia

II. AI Blue Ocean Mining Four-Step Method (With Practical Path)

STEP 1: Demand Fission Enter core keyword "oily acne-prone skin care" in 5118, generate demand map, then use GPT instruction: "Based on the following skincare demand scenarios, expand 20 subdivided demand terms, including product forms, usage scenarios, special effects" Filter results to obtain: overnight rescue mask, military training anti-acne patches, mask-skin repair essence and 12 other long-tail keywords

STEP 2: Competition Scanning Import long-tail keywords into Qiangua data, screening criteria:

Notes growth in last 30 days <100 posts

Viral content rate >15%

Product-selling notes proportion <40%

STEP 3: Supply Analysis Chanmama product selection must simultaneously meet:

Little Red Book stores <50

Douyin sales >10,000+

Return rate <8%

STEP 4: Monetization Testing Prioritize categories with CPE <1 yuan, build testing model:

Test Dimension	Execution Standard	Elimination Threshold
Click cost	<3 yuan/time	≥5 yuan
Add-to-cart rate	≥8%	≤5%
First order cycle	Within 48 hours	>72 hours

III. Three-Circle Positioning Practical Case

Men's Grooming Track Breakthrough Example

Demand Circle Breakthrough 5118 mining "male grooming" derivative words: boyfriend shaving care kit, men's intimate area refreshing wipes, men's hair volumizing powder

Supply Circle Positioning Chanmama filtered low-competition products:

Little Red Book selling merchants: 27

Douyin 90-day sales: 83,000 units

Price range vacuum area: 68-88 yuan

Monetization Circle Verification Combined product strategy:

Front-end product: men's intimate care wipes (CPE 0.7 yuan)

Profit product: three-in-one grooming kit (profit margin 62%)

Strategic product: men's fragrance antiperspirant (repurchase rate 41%)

In-depth Operation Techniques

Content grafting technique: Embed male care products into "girlfriend gift list" scenarios

Visual desensitization method: Use scene images instead of product close-ups (such as bathroom shelf photography)

Copy reconstruction formula: "Oil control and odor elimination" → "Instant freshness after exercise" "Sterilization care" → "More peace of mind during intimate moments"

IV. Blue Ocean Product Life Cycle Management

0-1 Cold Start Period

Note matrix layout: 1 educational content + 3 scenario embeddings + 1 product breakdown

Seed user cultivation: Package card setup with "scenario demand survey" cash rebate

1-10 Explosive Period

Viral content element transplantation: Extract cover structure/music/tags from high-engagement notes

Three-tier influencer matrix:

Top tier (1%): Category KOL momentum building
Mid tier (15%): Cross-domain KOC circle breaking
Regular users (84%): Buyer reviews for volume

10-N Continuation Period

Establish category awareness: "Men's grooming calendar" topic operation

Extend product line: Expand from wipes to shower gel/shampoo/fragrance balm

Data monitoring dashboard:

Demand reduction warning: Search volume week-on-week decrease >20%

Red ocean competition warning: New stores >50/month

Profit protection mechanism: CPE continuously >1.2 yuan for 5 days triggers strategy adjustment

V. Risk Hedging Strategy

Dual Verification Mechanism

Internal verification: Use ChatGPT to generate 20 user interview questions

External verification: Chanmama competitor monitoring (new product launch speed/promotion rhythm)

Alternative Product Incubation Pool Establish "potential product seed bank," update data weekly:

Category	Demand Heat	Supply Gap	Monetization Index	Priority
Pet oral care	★★★★	87%	0.93	P0
Middle-aged/elderly walking shoes	★★★☆	79%	0.81	P1

Through AI product selection to excavate demand gaps, combined with three-circle positioning to build competitive barriers, new stores can achieve GMV breakthrough of 200,000 in 30 days in blue ocean categories. The key is maintaining data sensitivity - when influencer collaboration notes proportion exceeds 40% for a category, category iteration contingency plans should be activated.