Data Analysis

Kamay connects to multiple data sources to help you with competitor analysis, user research, ad intelligence, trend tracking, 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 (Voice of Customer)
• 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

Reddit

Data Types:

• Subreddit feeds and discussions
• Post details and comments
• Search results across communities

Typical Uses:

• Community sentiment analysis
• User pain point discovery
• Product feedback monitoring

Xiaohongshu (小红书)

Data Types:

• Note search results
• Note details and comments

Typical Uses:

• Chinese social commerce trend research
• User-generated content analysis
• Product review monitoring

Douyin (抖音)

Data Types:

• Video search results
• Video details and comments

Typical Uses:

• Chinese short video trend analysis
• Popular content research
• Audience engagement analysis

Google Ads

Data Types:

• Advertiser search
• Ad creative listings
• Ad details

Typical Uses:

• Competitor ad strategy research
• Ad creative inspiration
• Market spending insights

Meta Ads

Data Types:

• Ad search (with country filtering)
• Ad details

Typical Uses:

• Facebook/Instagram ad monitoring
• Competitor ad creative analysis
• Cross-platform ad comparison

Google Trends

Data Types:

• Search interest over time (with region filtering)

Typical Uses:

• Keyword trend tracking
• Seasonal demand analysis
• Market interest comparison

TrendCloud

Data Types:

• Top rankings
• Market trend data (with date range filtering)

Typical Uses:

• Category ranking monitoring
• Market trend analysis
• Competitive landscape overview

Web Search

Typical Uses:

• General market research
• Industry news and reports
• Supplementary information gathering

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

Search Reddit for user complaints about heated jackets

Check Google Trends for "heated jacket" search interest over the past year

Method 2: Use Agent Mode

1. In Agent mode (the default), simply ask your question
2. Kamay automatically connects to the right data source (Amazon, TikTok, Reddit, Google Ads, Meta Ads, Google Trends, etc.)
3. Configure parameters (such as region) if prompted
4. View the analysis results

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: Customer Review 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:

Check Google Trends for "heated jacket" interest over the past year,
and compare it with TrendCloud ranking data

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 Amazon product 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 content across platforms

You can ask:

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

Kamay will help you:

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

Case 6: Ad Intelligence

Need: Research competitor advertising strategies

You can ask:

Search Google Ads and Meta Ads for heated jacket advertisers,
show me their ad creatives and approaches

Kamay will help you:

• Find competitor ads
• Analyze ad creatives
• Summarize effective strategies

Case 7: Community Sentiment

Need: Understand what users are saying in online communities

You can ask:

Search Reddit and Xiaohongshu for discussions about heated jackets,
what are people recommending and complaining about?

Kamay will help you:

• Search relevant discussions
• Analyze sentiment and themes
• Identify opportunities and risks

Handling Data Query Failures

If the data query fails, Kamay will:

1. Clearly State the Problem

Sorry, Amazon data query failed
Reason: Data request timed out

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 publicly available data across all supported platforms.

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.