I. Account Infrastructure: Building a High-Conversion IP Model

• Market capacity screening: Check category notes/interaction totals through Qiangua data, choose vertical tracks with monthly interactions >2 million

• Monetization capacity assessment: Beauty/skincare CPE (cost per engagement) can reach 0.3-0.8 yuan, home decor CPM (cost per thousand impressions) about 15-25 yuan

• Competition intensity measurement: Tracks where top influencers' followers account for <30% present opportunity windows

II. Content Engine: Building a Hit Production Line

• Demand dimension: Using 5118 demand mapping to mine long-tail keywords (e.g., "oily acne-prone skin care" extending to 12 specific scenarios)

• Scenario dimension: Building user all-weather content touchpoints (morning skincare routine → commuting makeup → evening repair)

• Trending dimension: Establishing industry trending calendar (beauty industry cherry blossom season March-April, whitening peak season September)

• Pain point type: Frontload user identity labels ("Attention night owls! This essence saved my sagging face")

• Data type: Visualize effect promises ("28-day test | Hope for enlarged pores")

• Mystery type: Create cognitive conflict ("The blackhead removal truth beauty salons won't tell you")

• Skincare tutorial type: Problem presentation → Wrong demonstration → Ingredient analysis → Correct technique → Before/after comparison

• Product sharing type: Usage scenario → Ingredient breakdown → Horizontal evaluation → Suitable audience → Purchase guide

III. Traffic Breakthrough: Penetrating Platform Algorithms

• Cold start period (0-500 impressions): Engagement rate >8% enters next traffic pool

• Climbing period (500-5000 impressions): Completion rate >40% triggers popular recommendations

• Explosive period (5000+ impressions): Share rate >3% gains off-platform traffic boost

• Title: Core keywords + scenario words ("oily skin care" → "oily skin summer morning care")

• Main text: Plant 1 long-tail keyword per 100 words, detect prohibited words through Lingke word check

• Topics: Combine official topics (#SkinCare100Questions) + self-built brand topics (#IngredientLabExperiments)

IV. User Operations: Building a Private Domain Moat

• Pre-planted interactions: Set "multiple choice questions" at 18/36 seconds in notes ("Which of these two textures do you prefer?")

• Ladder replies: 1st level answers questions → 2nd level guides followers → 3rd level converts to private domain

• Creating viral comments: Use secondary accounts to post "class representative summary" comments to boost interaction weight

• New fans (following <7 days): Push beginner guides + viral content collections

• Active fans (interactions >3 times): Open fan-exclusive voting rights

• Core fans (purchase/conversion): Build VIP communities for product internal testing

V. Data-Driven: Establishing Iteration Flywheel

• Content health = engagement rate (likes/saves/comments) 0.6 + completion rate0.3 + share rate*0.1

• Fan quality value = 7-day revisit rate0.5 + note opening rate0.3 + conversion rate*0.2

• Use Huitun data for regular note quadrant analysis (prioritize replication of high-engagement, high-conversion content)

VI. Matrix Layout: Building Growth Moat

• Main account: Professional in-depth content builds authority

• Secondary accounts: ①Quick tip version ②Product unboxing account ③Regular user experience account

• Deploy "Dandelion Plan": Cultivate 100 regular user fans to become content nodes

VII. Monetization Loop: Designing Profit Ladder

• 1-50,000 fans: Accept brand exchanges (single post price = fans × 0.1)

• 50,000-100,000 fans: Open column courses (priced 198-398 yuan)

• 100,000+ fans: Develop co-branded products (profit margin controlled at 40-60%)

• Soft product placement structure: Pain point introduction → Life scenarios → Product exposure → Effect verification

• Hard ad conversion formula: 3-second product exposure + 7-second effect demonstration + 5-second promotion information

VIII. Risk Control: Establishing Compliance Moat

• Build four-level review system: AI initial screening → Manual review → Sensitive word database comparison → Historical violation record check (Lingke word check API integration for real-time detection)

• Establish emergency response SOP: Complete content removal within 2 hours of violation notice → Prepare appeal materials within 48 hours → Initiate secondary publication test within 72 hours

• Content isolation strategy between main and backup accounts: Core accounts only publish original content, matrix accounts handle trending topic testing

• Traffic allocation mechanism: Control daily note publication to 3-5 posts, avoid triggering platform anti-cheating mechanisms

IX. Long-Term Operations: Building Content Ecosystem

• Official event participation calendar: Produce exclusive content on monthly brand day (8th), category day (18th), creator day (28th)

• Influencer collaboration plan: Quarterly content co-creation with 3-5 cross-domain influencers (beauty × home decor scenario pairing)

• Fan co-creation system: Establish "content partner" program, select 10 quality UGC contents monthly for traffic support