Business Insight Skill Factory
Six AI skill packs that output professional-grade business decisions
voc.market believes: We don't build software for humans — we build skills for AI. Six vertical skill packs — Product Selection, IP Planning, Content Operations, New Product Prediction, Competitor Analysis, Product Revitalization — each backed by methodology × data × AI triple coupling. AI calls the skill pack and outputs professional decisions directly.
Six Vertical Skill Packs
Each Skill Pack = Methodology × Data × AI
Every time you ask a business question, AI calls the corresponding skill pack, internally completes multi-dimensional data cross-referencing and expert-level analytical reasoning, and directly outputs actionable professional decisions.
Product Selection
For: New product development, category expansion
Logic: Category lifecycle × competitor price band density × consumer demand gap matrix
Output: Product feasibility report (market size, competitive landscape, pricing advice, differentiation direction)
IP Business Planning
For: Brand IP building, founder IP, personal brand 0→1
Logic: Persona positioning quadrants × content tension model × fan persona matching
Output: IP business plan (persona positioning, content matrix, growth path, monetization model)
Content Operations
For: Social media content strategy, omnichannel seeding
Logic: Platform algorithm preferences × viral content factor library × consumption path
Output: Content ops plan (topic calendar, viral scripts, KOL matrix, ad strategy)
New Product Prediction
For: New product positioning, launch strategy, risk assessment
Logic: Digital user twin simulation × category trend extrapolation × competitor response model
Output: Launch strategy report (target audience, pricing, channel mix, risk alerts)
Competitor Analysis
For: Competitive strategy, differentiated positioning
Logic: Omnichannel sales × content strategy × user reviews 360° benchmarking
Output: Competitor analysis report (market share, SWOT matrix, attackable weaknesses, defense strategy)
Product Revitalization
For: Mature product second growth curve, brand refresh
Logic: Consumer perception shift × category evolution trends × differentiation carve-out
Output: Revitalization plan (new positioning, new audience, new selling points, new communication strategy)
Why Skill Packs Output Professional Decisions
Methodology × Data × AI Triple Coupling
Behind each skill pack lies the deep coupling of three structured systems. This is not simple data aggregation — it's the chemical reaction of business methodology, real-time omnichannel data, and AI reasoning.
Category Theory Framework
Positioning theory, category lifecycle, Porter's Five Forces, differentiated competition model, content tension model — battle-tested methodologies from top brands
Omnichannel Real-time Data
15+ platform data access, multi-dimensional real-time cross-referencing of e-commerce sales + social content + user reviews + KOL data + search trends
AI Reasoning & Generation
10K+ digital user twin engine, predictive demand algorithms, natural behavior simulation, full-funnel insight calibration
Consulting firms have methodology but lack data. Data tools have data but lack methodology. General AI has reasoning but lacks structured domain knowledge. We have all three.
A New Way of Working
No software to learn — get answers directly
❌ Traditional SaaS Workflow
✨ Skill Pack Workflow
Skill Pack Underlying Capabilities
Product Selection Skill: category lifecycle × price band analysis × demand gap matrix → feasibility report
IP Planning Skill: persona positioning quadrants × content tension model × fan persona matching → IP business plan
Content Operations Skill: platform algorithm preferences × viral factor library × consumption path → content ops plan
New Product Prediction Skill: digital user twin simulation × trend extrapolation × competitor response model → launch strategy
Competitor Analysis + Product Revitalization: 360° benchmarking + perception shift analysis → competitive strategy & revitalization plan
Data Partner Ecosystem
12 Premium Data Partners
VOC.market invests ~¥5M annually in our data partner ecosystem, integrating all premium data suppliers. No need to procure from each platform individually — access on demand through one platform.
Feigua Data
Full Douyin content and influencer data, real-time trend tracking
Qiangua Data
Full Xiaohongshu notes, seeding trends, influencer discovery and evaluation
Newrank
Full WeChat ecosystem content data and distribution analytics
Sentiment Monitor
Cross-platform brand volume monitoring, sentiment alerts, competitive reputation comparison
E-commerce Listening
Multi-platform review aggregation, pain point identification, sentiment analysis
Chanmama
Full-category Douyin transaction data, KOL sales analytics, trending product prediction
Moojing Insight
All-platform SKU-level competitive data across Tmall, JD, Douyin, Pinduoduo
Ocean Engine Cloud
Consumer search behavior across Ocean Engine, category trends, audience profiling
Overseas Data Service
Amazon, TikTok Shop, Shopee, Lazada cross-border and global social media data
Live Commerce Analytics
Real-time livestream monitoring, influencer matching, campaign attribution
Guandata
Enterprise BI platform with multi-source data integration, ETL, and unified analytics
FanRuan FineBI
Enterprise BI visualization, self-service analytics, multi-dimensional dashboards, smart alerts
All data partners above are integrated through VOC.market. We continuously expand the partner ecosystem to ensure your omnichannel data visibility. All data sources follow compliant collection strategies.
FAQ
Traditional SaaS is software for humans — you learn the tool, configure parameters, analyze data yourself, and write reports. A skill pack is for AI — you tell AI what you need, AI calls the skill pack (containing methodology + data + reasoning), and directly outputs professional business decisions. No software to learn, just get answers.
Product Selection: Input industry/category, AI outputs a feasibility report (market size, competitive landscape, pricing advice, differentiation direction). IP Planning: Input personal/brand background, AI outputs an IP business plan (persona positioning, content matrix, growth path, monetization model). Content Operations: Input platform/goal, AI outputs an omnichannel content operations plan (topic calendar, viral scripts, KOL matrix, ad strategy). New Product Prediction: Input product concept, AI outputs a launch strategy report (target audience, pricing strategy, channel mix, risk alerts). Competitor Analysis: Input competitor name, AI outputs a 360° competitor analysis report (market share, SWOT matrix, attackable weaknesses, defense strategy). Product Revitalization: Input product status, AI outputs a revitalization plan (new positioning, new audience, new selling points, new communication strategy).
Compare: achieving equivalent capability traditionally requires purchasing multiple data tools like Chanmama + Feigua + Moojing + Ocean Engine (¥0.8-1.5M/year), plus hiring data analysts (¥200-400K/year each). Our skill pack bundles all this, starting at just ¥299 with usage-based billing. And it's been validated across 10+ offline workshops, where 90%+ of attendees recognized the value and purchased on the spot.
We've built omnichannel data access covering 15+ platforms: domestic e-commerce (Douyin/Tmall/JD/PDD/Xiaohongshu), domestic social media, cross-border e-commerce (Amazon/TikTok Shop/Instagram/Shopee/Lazada). All data is collected from public channels in strict compliance with data security regulations.
Start with a free trial to experience basic VOC insight features. Upgrade to the skill pack subscription (starting at ¥299, usage-based billing) to unlock all six skill packs. Need auto-operations (content generation + auto-publishing + private domain tools)? Upgrade to the Growth Suite (starting at ¥699, usage-based billing). Enterprise customers can contact us for custom solutions.
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