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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.
