| name | growth-marketing-ops |
| description | User Growth & Strategic Content Operations. Covers marketing funnel mapping, 3H content rhythm, anti-AI voice standards, and product data analysis (conversion/retention). |
Growth & Marketing Operations
This skill unifies the strategic and analytical efforts required to scale the StockWise user base. It combines domain-specific content strategies with data-driven analysis of user acquisition and retention.
1. Content Strategy & Marketing Funnel
To convert anonymous visitors into active PRO users, we map content to the user journey:
1.1 Funnel Mapping (3H Rhythm)
- Hero (TOFU): Attention-grabbing, high-concept pieces for social sharing (e.g., "The Math of Compounding").
- Hub (MOFU): Regularly scheduled deep-dives to build authority (e.g., "Master Series", Weekly Market Tactics).
- Hygiene (BOFU): Essential "How-To" guides and support artifacts that reduce friction.
1.2 Anti-AI Writing Standards
Our content must feel human, professional, and institutional.
- Tone: Ultra-minimalist, authoritative, and concise. Avoid "AI fluff" (excessive adjectives, filler conclusions).
- Silent Math: Use formatting constraints to prioritize logic and speed.
- One-to-Many: Every long-form article should be repurposable into Tweets, Posters, and App Alerts.
2. User Growth Analysis (Data-Driven)
We optimize the product by analyzing the behavior of the current user base via SQL.
2.1 Core Metrics & SQL Templates
While daily_growth_digest.py provides automated reporting, use the Turso CLI Wrapper for manual exploration (探索) of user behavior and conversion leaks:
node frontend/scripts/turso-cli.mjs query "SELECT user_id, registration_type, subscription_tier, referred_by FROM users WHERE created_at > datetime('now', '-7 days') ORDER BY created_at DESC"
node frontend/scripts/turso-cli.mjs query "SELECT symbol, count(*) as count FROM user_watchlist GROUP BY symbol ORDER BY count DESC LIMIT 10"
2.2 Standard Metrics
- Pro Conversion Rate:
SELECT count(*) filter (where subscription_tier = 'pro') * 1.0 / count(*) as conv_rate
FROM users;
- Stock Heatmaps (Watchlist Activity):
SELECT symbol, count(*) as frequency
FROM user_watchlist
GROUP BY symbol ORDER BY frequency DESC LIMIT 20;
- Retention Cohorts: Track how many users logged in within X days of signup.
2.2 Growth Experiments
When running A/B tests or landing page updates:
- Baseline: Establish clear success metrics before the rollout.
- Parity: Ensure bilingual parity for all marketing assets (CN/EN).
3. Daily Growth Pulse (Unified Intelligence)
We bridge external traffic (GA4/Clarity) with internal conversion (DB) to identify growth loops and friction points.
3.1 Running the Digest
To generate a 24h performance snapshot across all layers:
export DB_SOURCE=cloud; python3 backend/scripts/daily_growth_digest.py
Output: tmp/latest_growth_pulse.md (Includes conversions, top pages, and Detailed New User Intelligence).
3.2 Key Attribution Channels
- Search (GEO/SEO): High-intent users seeking prediction models.
- Social (Hero Content): Viral spikes from WeChat/X posts.
- Direct (Retention): Existing users returning for daily reports.
3.3 Behavioral Segmentation (Clarity/GA4 Tagging)
All frontend sessions are tagged for deep filtering:
user_id: Cross-correlate session behavior with specific account history.tier: Analyze how "Pro" behavior differs from "Free" (e.g., higher engagement time).
4. SEO & GEO Performance
Content is optimized not just for humans, but for AI Search (GEO) and standard Search Engines (SEO).
- Structured Data: Inject JSON-LD (Schema.org) into all article and FAQ pages.
- Keyword Integration: Naturally weave in high-intent keywords (Stock Prediction, Dividend Yield, AI Analysis).
🛠️ Growth Checklist
