Data Analysis

Kamay connects to multiple data sources to help you with competitor analysis, user research, and market insights.

Supported Data Sources

Amazon

Available Regions: United States

Data Types:

• Statistics Data: Sales, volume data for products, brands, categories
• Detail Data: Product details, user reviews

Typical Uses:

• Competitor analysis
• User review analysis (VOC)
• Category trend research
• Product monitoring

TikTok

Available Regions: United States, Philippines

Data Types:

• Popular video data
• User review data
• Engagement data

Typical Uses:

• Social media trend analysis
• Popular content learning
• User feedback analysis

Sif

Status: Under technical research

How to Use

Method 1: Ask Directly

No need to specify a data source, Kamay will automatically determine:

Analyze the competition for heated jackets on Amazon

See what characteristics popular videos for this type of product have on TikTok

Method 2: Select Skill

1. Select "Data Analysis" skill in the input box
2. Select data source (Amazon, TikTok, or unlimited)
3. Configure parameters (such as region)
4. Enter your request

Typical Use Cases

Case 1: Competitor Analysis

Need: Understand the competition in a category

You can ask:

Analyze the competition for heated jackets on Amazon,
show me the top 10 by price, sales, and ratings comparison

Kamay will help you:

• Query Amazon data
• Extract competitor information
• Generate comparison report

Case 2: VOC Analysis

Need: Understand real user feedback

You can ask:

See what Amazon users are dissatisfied with this type of product,
help me summarize the main pain points

Kamay will help you:

• Read user reviews
• Extract high-frequency keywords
• Summarize pain point list

Case 3: Category Trends

Need: Understand category development trends

You can ask:

What's the trend for heated jackets?
Any changes in search volume?

Kamay will help you:

• Analyze search volume trends
• Identify popular keywords
• Summarize seasonal characteristics

Case 4: Product Monitoring

Need: Monitor your or competitor's product performance

You can ask:

Check the performance of my ASIN B08XXX,
see recent sales ranking and review changes

Kamay will help you:

• Query product data
• Compare historical performance
• Analyze trend changes

Case 5: Social Content Learning

Need: Learn from popular TikTok content

You can ask:

Analyze popular videos for heated jackets on TikTok,
see what they have in common

Kamay will help you:

• Get popular video data
• Analyze content characteristics
• Summarize success factors

Handling Data Query Failures

If the data query fails, Kamay will:

1. Clearly State the Problem

Sorry, Amazon data query failed
Reason: API call timeout

2. Ask Whether to Continue

However, I can provide some creative suggestions based on industry experience and common market trends.
Would you like me to continue generating materials? Or retry the data query later?

3. Provide Fallback Strategy

• If some platforms succeed → Continue based on obtained data
• If all fail → Provide suggestions based on AI's general knowledge and project context

Next Steps

• Image Generation - Generate images based on data insights
• Video Generation - Generate videos based on data insights
• View Artifacts - View generated analysis reports

Frequently Asked Questions

Why did the query fail?

Possible reasons:

• Network issues
• API rate limiting
• Data source temporarily unavailable
• Insufficient permissions

You can retry later, or let AI continue working based on general knowledge.

Is the data up-to-date?

Kamay tries to get the latest available data. Specific data freshness depends on the data source.

Can I query any product?

You can query public product and content data on Amazon and TikTok.

Does data query require additional payment?

Depending on your subscription plan, data queries may have corresponding quota limits. You can view details in account settings.