# TikTok shop analytics Human Guide

## What This Is For
Master data-driven selling on TikTok Shop. It gives the agent a clearer input/output frame for social content: what context to ask for, what decisions to make, and what usable artifact to return.

Use this as a human-readable version of the TikTok shop analytics agent skill. It is meant for marketers, operators, founders, and other non-coders who want the workflow without reading agent-specific implementation instructions.

## When To Use This
- Use this when you need a repeatable process for TikTok shop analytics.
- Use this when the task needs judgment, examples, constraints, or a clear output format rather than a one-off prompt.
- Use this when you want to hand an AI assistant enough context to produce a usable marketing artifact.

## When Not To Use This
- Do not use this when you only need a quick factual answer.
- Do not use this when the work depends on private data you cannot share with the assistant.
- Do not use this as a replacement for legal, compliance, financial, or medical review.

## What You Need Before Starting
- The goal or business outcome you want.
- The audience, customer segment, or market context.
- Any source material the assistant should respect, such as notes, briefs, examples, URLs, or brand guidance.
- Constraints such as tone, length, channel, deadline, region, or approval requirements.
- A clear definition of what a good final answer should look like.

## Step-By-Step Workflow
1. State the job clearly: "Use the TikTok shop analytics guide to help me with..."
2. Add context: audience, goal, offer, channel, source material, and constraints.
3. Ask the assistant to identify missing inputs before producing the final output.
4. Have the assistant follow the skill-specific guidance below.
5. Review the result against the final checklist and ask for revisions where needed.

## Skill-Specific Guidance
- Revenue and sales trend tracking
- Customer acquisition and retention metrics
- Average order value (AOV) analysis
- Conversion funnel optimization
- Video metrics analysis (views, engagement, shares)
- Content format performance comparison
- Hook effectiveness measurement
- Hashtag performance tracking
- Live stream performance metrics
- Audience engagement patterns
- Gross merchandise value (GMV) per live session
- Affiliate partner performance analysis

## Decision Points And Nuance
The original skill emphasizes: Installation, Usage Examples, Core Capabilities, Business Performance Analysis, Content Performance Intelligence, Live Selling Analytics, Creator & Affiliate Tracking, How It Works, Step 1: Data Collection & Analysis, Step 2: Performance Benchmarking.

Use these questions to steer the work:
- What is the intended audience or buyer?
- What source material must be preserved?
- What should the assistant optimize for: clarity, persuasion, accuracy, speed, creativity, or conversion?
- What examples represent the desired quality bar?
- What should the assistant avoid?

## Common Mistakes
- Starting without a clear audience or goal.
- Asking for a final artifact before sharing examples or constraints.
- Accepting a generic first draft without checking it against the intended use.

## Copy-And-Paste Prompt
```text
Use the TikTok shop analytics human guide.

My goal:
[Describe the business outcome]

Audience:
[Describe who this is for]

Context and source material:
[Paste notes, examples, links, or existing copy]

Constraints:
[Tone, length, channel, timeline, must-include items, must-avoid items]

Before producing the final output, ask me for any missing information that would materially improve the result.
```

## Final Checklist
- [ ] The output matches the original goal.
- [ ] The audience and context are reflected in the answer.
- [ ] Important constraints and source material were preserved.
- [ ] The assistant made the relevant decisions explicit.
- [ ] The final artifact is ready to use, review, or hand to the next person.

## Source
This guide was generated from the nexscope-ai/ecommerce-skills skill entry for `tiktok-shop-analytics`.

## Source Skill Notes
These notes preserve the nuance from the original skill. Use them as supporting reference when the workflow above feels too generic.

# TikTok Shop Analytics 📊

Master data-driven selling on TikTok Shop. Track performance, optimize content, and scale what works.

## Installation

```bash
npx skills add nexscope-ai/eCommerce-Skills --skill tiktok-shop-analytics -g
```

## Usage Examples

**Performance dashboard analysis:**
```
"Analyze my TikTok Shop performance last month - which products and videos drove the most sales?"
```

**Content optimization:**
```
"My TikTok videos get views but low conversions - help me identify the problem"
```

**Competitive benchmarking:**
```
"How does my TikTok Shop performance compare to others in my category?"
```

## Core Capabilities

### 1. Business Performance Analysis
- Revenue and sales trend tracking
- Customer acquisition and retention metrics
- Average order value (AOV) analysis
- Conversion funnel optimization

### 2. Content Performance Intelligence
- Video metrics analysis (views, engagement, shares)
- Content format performance comparison
- Hook effectiveness measurement
- Hashtag performance tracking

### 3. Live Selling Analytics
- Live stream performance metrics
- Audience engagement patterns
- Gross merchandise value (GMV) per live session
- Host performance evaluation

### 4. Creator & Affiliate Tracking
- Affiliate partner performance analysis
- Creator content ROI measurement
- Commission optimization insights
- Partnership scaling opportunities

## How It Works

### Step 1: Data Collection & Analysis
*Comprehensive performance data gathering*

Analyze key performance indicators:
- Extract sales data and revenue trends
- Review content performance metrics
- Evaluate customer behavior patterns
- Assess marketing channel effectiveness

### Step 2: Performance Benchmarking
*Competitive analysis and industry comparison*

Compare against benchmarks:
- Industry average performance metrics
- Competitive content analysis
- Best-performing content identification
- Growth opportunity assessment

### Step 3: Optimization Strategy Development
*Data-driven improvement recommendations*

Generate actionable insights:
- Identify top-performing content strategies
- Optimize underperforming product listings
- Recommend content creation priorities