The AI review analysis is incredible! I discovered that 68% of my competitor's buyers were gift shoppers. I repositioned my listings for gifting—added "perfect gift for mom" in titles, offered gift wrapping, created gift guides. Sales increased 40% within a month.
🔍 Competitive Intelligence Tool
AI Etsy Shop Analyzer: Understand Buyers via Review Analysis
The only Etsy analytics tool that analyzes customer reviews with AI to reveal buyer demographics, sentiment scores, purchase motivations, and market gaps your competitors are missing.
Turn customer reviews into your competitive advantage. Our AI-powered Etsy shop analyzer goes beyond basic Etsy analytics to understand why customers buy. Analyze any shop's reviews to discover buyer demographics, sentiment scores (0-100), and market gaps competitors miss.
Unlike traditional Etsy spy tools that only show sales numbers, our AI review analysis reveals what customers love, what they complain about, and what they're desperately looking for but can't find. Perfect for product developers, Etsy market research, and competitive intelligence.
AI review sentiment analysisBuyer demographics insightsMarket gaps discoveryPurchase motivationsTop reviewed productsCustomer pain points
Analyze Your First Shop Free
3 free shop analyses • No credit card required
insightagent.app
+156%
Growth
💬
Review Sentiment
92% positive
👥
Buyer Profile
Gift buyers 68%
🎯
Market Gaps
3 opportunities
⭐
Top Reviewed
Top 10 listings
💬
AI Review Analysis
Buyers love: quality packaging, fast shipping. Gap found: customers asking for custom sizes not offered.
Beyond Basic Etsy Analytics: AI-Powered Review Sentiment Analysis
Most Etsy analytics tools show you what sells. We show you why it sells.
Our AI doesn't just count numbers—it reads every customer review to understand buyer psychology. You'll discover:
- Sentiment scores (0-100) for overall customer satisfaction
- What buyers love in their own words (extracted from positive reviews)
- Pain points & complaints your competitors haven't addressed
- Purchase motivations (why customers chose this product over alternatives)
- Market gaps - products customers want but can't find
- Buyer demographics - gift shoppers vs. personal use, loyalty signals
The Insight Agent Difference:
| Traditional Etsy Analytics | Insight Agent AI Analysis |
|---|---|
| Shows sales estimates | Shows why customers buy |
| Lists top products | Reveals customer motivations |
| Tracks revenue | Identifies emotional triggers |
| Reports metrics | Discovers market gaps |
| Generic insights | Customer-specific psychology |
This isn't just another Etsy competitor analysis tool—it's customer intelligence software that helps you understand the psychology behind successful shops.
How Our Etsy Shop Analyzer Works (3 Simple Steps)
Get deep competitive intelligence in three simple steps
1
Enter Shop URL or Name
Simply paste an Etsy shop URL or search by shop name. Our system instantly retrieves all publicly available data for comprehensive analysis. Works with any Etsy shop in any category—handmade, digital, vintage, print-on-demand, or supplies.
2
AI Analyzes Shop & Reviews
Our AI examines 50+ data points including all customer reviews (not just recent ones), sentiment patterns across products, buyer demographic signals (gift vs. personal language), purchase motivations mentioned in reviews, complaints and pain points, product ratings and review volume trends, and top-performing listings by customer engagement.
3
Discover Market Opportunities
Receive detailed reports showing sentiment score (0-100), what buyers love (positive themes extracted from reviews), areas for improvement (common complaints and pain points), market gaps (customer needs competitors aren't meeting), buyer profile (demographics, gift vs. personal buyers, loyalty signals), top reviewed products (best-sellers by customer engagement), and actionable insights (specific opportunities to capture their customers).
Complete Etsy Competitor Analysis: What You'll Discover
💬
AI Review Sentiment Analysis
Go beyond star ratings to understand true customer sentiment
Our AI analyzes the language customers use in reviews to calculate overall sentiment score (0-100), positive themes (what customers consistently praise), negative themes (what they complain about or request), emotional triggers (words that indicate strong feelings like love, disappointed, amazing), and comparison language (when customers mention competitors).
Example Insight:
"Sentiment Score: 87/100. Customers love: "fast shipping" (mentioned 43 times), "beautiful packaging" (31 times), "exactly as described" (28 times). Gap: 15 customers asked for "custom sizes" but shop doesn't offer this option."
Key Benefits:
- Identify exactly what makes customers happy
- Spot patterns competitors haven't noticed
- Find opportunities hiding in plain sight
🎯
Market Gap Discovery
Find profitable opportunities competitors are missing
Every complaint is a business opportunity. Our AI identifies unmet customer needs mentioned in reviews, feature requests customers are asking for, pricing concerns (too expensive, would pay more for X), product variations customers want but don't exist, and service improvements that would increase satisfaction.
Example Insight:
"68% of customers mentioned buying for gifts, but competitor listings don't include gift wrapping options. This is a market gap you can exploit."
Key Benefits:
- Discover product ideas validated by real customer demand
- Find weak points in competitor offerings
- Create products that solve problems competitors ignore
⭐
Top Reviewed Products
Identify best-sellers through customer engagement, not guesswork
Review count is the most reliable proxy for sales on Etsy (unlike favorites or views which can be gamed). We rank products by review volume to show you genuine best-sellers based on customer feedback, rising stars with strong recent review growth, product validation (what customers actually buy), and customer satisfaction (high reviews + high ratings = winners).
Example Insight:
"Reviews don't lie—favorites can be inflated. See which products generate real sales and validate product ideas before investing."
Key Benefits:
- Identify proven winners to model
- Avoid products with few sales
- Understand what generates customer loyalty
👥
Buyer Demographics & Purchase Psychology
Understand who buys and why
Our AI analyzes review language to profile customers: gift buyers vs. personal use (detects phrases like "bought for my wife", "perfect gift"), repeat purchase signals ("buying again", "second time ordering"), customer loyalty indicators ("my favorite shop", "always perfect"), purchase motivations (quality, price, uniqueness, speed), and decision factors (what made them choose this over alternatives).
Example Insight:
"Buyer Profile: 68% gift shoppers (birthdays, holidays, weddings), 32% personal use. Primary motivation: unique designs not available elsewhere. Loyalty: 23% mention being repeat customers."
Key Benefits:
- Target the right customer personas
- Adjust marketing messaging (gift buyers vs. personal)
- Understand loyalty drivers
AI Review Sentiment Analysis: Read Customer Minds, Not Just Metrics
The only Etsy analytics tool with AI-powered review sentiment scoring.
How Our AI Works
Traditional Etsy tools show you:
- ⭐Star ratings (surface-level)
- 📊Sales estimates (often inaccurate)
- 🏷️Pricing data (easily visible)
Our AI review analysis reveals:
- 💭Customer emotions (love, frustration, delight)
- 🎯Purchase motivations (why they bought)
- 😞Pain points (what disappointed them)
- 💡Unmet needs (what they wish existed)
- 👥Buyer types (gift shoppers, collectors, professionals)
The Sentiment Scoring Process
Step 1: Review Collection
Our system retrieves all public reviews for the shop (not just recent reviews—we analyze the complete history for patterns).
Step 2: Natural Language Processing (NLP)
Advanced AI analyzes:
- Sentiment polarity (positive, neutral, negative)
- Emotional intensity (mild vs. strong feelings)
- Topic extraction (what aspects they're discussing)
- Comparative language (mentions of alternatives)
Step 3: Pattern Recognition
The AI identifies:
- Recurring themes in positive reviews
- Common complaints across products
- Feature requests and suggestions
- Gaps between expectations and reality
Step 4: Actionable Insights
You receive:
- Overall sentiment score (0-100)
- Top positive themes with frequency counts
- Top negative themes and pain points
- Market gap opportunities customers are requesting
- Buyer demographic signals
Real-World Example
Competitor Shop: Handmade Jewelry
Sentiment Score: 82/100 (Very Positive)
Top Positive Themes:
• "Beautiful packaging" - mentioned 47 times
• "Fast shipping" - mentioned 43 times
• "Exactly as pictured" - mentioned 38 times
• "High quality materials" - mentioned 31 times
• "Perfect gift" - mentioned 28 times
Top Negative Themes:
• "Wish it came in more colors" - mentioned 12 times
• "Too small for my wrist" - mentioned 8 times
• "Would love matching earrings" - mentioned 7 times
Market Gaps Identified:
1. 68% of buyers mention gifts → Add gift wrapping option
2. 12 requests for more color options → Expand color palette
3. 7 requests for matching earrings → Create jewelry sets
Buyer Profile:
• 68% gift buyers (birthdays, anniversaries, holidays)
• 32% personal use
• 23% repeat customers
• Primary age group: 25-45 (based on language patterns)
Your Action Plan:
- ✅Create similar products with better packaging
- ✅Offer more color variations
- ✅Add gift wrapping as an option
- ✅Design matching jewelry sets
- ✅Target gift-givers in marketing
This level of insight is impossible with traditional analytics tools.
Buyer Demographics & Purchase Psychology: Know Your Customers
Understand who buys from successful shops and why they choose them.
Gift Buyer vs. Personal Use Analysis
Our AI detects language patterns that reveal purchase intent:
Gift Buyer Signals:
- • "Perfect gift for..."
- • "Bought for my [relationship]"
- • "Birthday/anniversary/holiday present"
- • "They loved it!"
- • "Great for [occasion]"
Personal Use Signals:
- • "Bought for myself"
- • "Exactly what I wanted"
- • "Love using this"
- • "Perfect for my [need]"
Why This Matters:
If 70% of a competitor's buyers are gift shoppers, you should:
- ✅Optimize listings for gifting keywords
- ✅Offer gift wrapping
- ✅Create gift guides
- ✅Emphasize presentation and packaging
- ✅Add "Perfect gift for..." in descriptions
Purchase Motivation Analysis
What drives customers to buy? Our AI identifies:
1. Quality-Driven Buyers
- "High quality", "well-made", "durable"
- Willing to pay premium prices
- Value craftsmanship over cost
2. Price-Sensitive Buyers
- "Great value", "affordable", "worth the price"
- Compare prices across shops
- Look for sales and discounts
3. Uniqueness Seekers
- "Can't find anywhere else", "unique design", "one-of-a-kind"
- Less price sensitive
- Value exclusivity
4. Convenience Buyers
- "Fast shipping", "arrived quickly", "easy purchase"
- Value time over cost
- Appreciate streamlined experience
5. Recommendation Followers
- "Saw on TikTok/Instagram", "friend recommended"
- Influenced by social proof
- Trust peer reviews
Customer Loyalty Signals
Identify shops with rabid fans:
- 🔁Repeat Purchase Indicators: "Bought again", "second/third time", "always order from"
- ⭐Brand Loyalty: "Favorite shop", "only place I buy", "never disappointed"
- 📣Advocacy: "Recommend to everyone", "told all my friends", "best seller on Etsy"
High loyalty = strong brand moat. If competitors have loyal customers, you need a different angle to compete.
Turn Etsy Market Research Into Profitable Insights
Stop guessing. Start using data-driven customer intelligence.
Traditional Etsy market research tools tell you:
- ❓What products exist
- ❓Estimated sales numbers
- ❓Keyword search volume
Insight Agent tells you:
- ✅Why customers buy those products (motivations)
- ✅What they love and hate (sentiment analysis)
- ✅What's missing from the market (gaps)
- ✅Who the buyers are (demographics)
1. Product Validation
Before creating a new product, analyze similar successful shops:
- What do customers love? → Make it even better
- What do they complain about? → Fix those issues
- What do they wish existed? → Create it
2. Niche Discovery
Find underserved niches by analyzing gaps:
- Customers requesting products that don't exist
- Complaints about current options (too expensive, poor quality, limited selection)
- Unmet needs in adjacent categories
3. Positioning Strategy
Understand how to differentiate:
- If competitors compete on price → compete on quality
- If competitors compete on speed → compete on customization
- If customers want uniqueness → emphasize handmade/custom
4. Marketing Messaging
Use customer language in your own listings:
- Copy phrases customers use to describe what they love
- Address pain points competitors ignore
- Speak to gift buyers vs. personal use (based on demographics)
5. Product Improvement
Analyze your own shop to improve:
- See what your customers love → do more of it
- Identify complaints → fix them before competitors do
- Compare your sentiment score to competitors
📊
Product Developers
Validate product ideas with real customer feedback
🎯
Market Gap Hunters
Discover unmet customer needs
🔍
Competitive Intelligence
Understand competitor strengths and weaknesses
💡
Data-Driven Sellers
Make decisions based on customer psychology
Real Sellers, Real Results: How Shop Analyzer Drives Growth
Success Stories from the Insight Agent Community
Reading through competitor reviews showed me exactly what their customers were complaining about—slow shipping times and flimsy packaging. I highlighted "2-day shipping" and "premium packaging" in my titles. Sales doubled in 6 weeks.
The market gap feature found that customers wanted custom sizing but competitors weren't offering it. I added custom size options to my vintage clothing and immediately started capturing buyers who couldn't find what they needed elsewhere. Now it's 30% of my revenue.
Insight Agent vs eRank
Customer Psychology Meets Keyword SEO
Should you use Insight Agent or eRank? Both—they're complementary tools.
What eRank Does Best
- Keyword search volume and competition analysis
- Listing optimization suggestions
- Tag and title recommendations
- Competitor keyword strategies
- Multi-shop comparison
What Insight Agent Does Best
- AI review sentiment analysis (0-100 scoring)
- Buyer demographics (gift vs. personal)
- Purchase motivations and pain points
- Market gap discovery from customer feedback
- Emotional intelligence, not just metrics
The Powerful Combination
Use eRank to find what to sell. Use Insight Agent to understand why it sells.
Example Workflow:
eRank discovers "personalized dog collar" has 5,000 monthly searches and medium competition. Insight Agent analyzes top shops selling dog collars and discovers customers love "durable materials" and "fast shipping" but complain about "limited size options" and "no matching leash". Action: Create personalized dog collar with eRank-optimized keywords, durable materials, fast shipping promise, extended size range, and matching leash option. Result: SEO-optimized product that solves real customer problems = higher conversion rates.
Insight Agent vs EverBee
Product Research vs Buyer Intelligence
EverBee finds trending products. Insight Agent tells you why they're trending.
What EverBee Does Best
- Product research (find trending items)
- Revenue estimates
- Competitor tracking
- Trend identification
- Chrome extension for quick analysis
What Insight Agent Does Best
- AI-powered review sentiment analysis
- Customer pain point identification
- Buyer demographic profiling
- Purchase motivation analysis
- Market gap discovery
The Powerful Combination
Use EverBee to find opportunities. Use Insight Agent to seize them better than competitors.
Example Workflow:
EverBee finds "custom pet portrait" is trending with $50K+ monthly revenue. Insight Agent analyzes top pet portrait shops and discovers customers love "looks just like my pet" and "fast turnaround" but complain about "expensive rush fees" and "can't include multiple pets in one portrait". Market gap: 72% mention buying for gifts but shops don't offer gift wrapping. Your advantage: Offer multi-pet portraits, include free rush processing, add gift wrapping option, market to gift-buyers. Result: You enter the same market but with a better product that solves problems competitors ignore.
Insight Agent vs Alura
Sales Metrics vs Emotional Intelligence
Alura tracks what sells. Insight Agent reveals why customers buy.
What Alura Does Best
- Shop performance metrics
- Best-selling product identification
- Pricing strategy analysis
- Shop policies review
- Broad feature set
What Insight Agent Does Best
- AI review sentiment analysis (unique to us)
- Customer pain point extraction
- Buyer demographic profiling
- Purchase motivation analysis
- Market gap discovery
The Powerful Combination
Example Workflow:
Alura shows: Shop makes ~$10K/month, best-seller is handmade candles ($25 each), average rating 4.8 stars, mid-range pricing. Insight Agent shows: Sentiment score 89/100 (very positive), customers love "strong scent", "long burn time", "beautiful packaging", customers wish for "more seasonal scents", "larger sizes", "subscription option", buyer profile 71% gift buyers, market gap: 14 customers asked for soy-free options (seller only offers soy). Your action: Create competing candles with strong scents + long burn time, beautiful packaging, seasonal scents, multiple size options, soy-free option, market as gift option.
AI
Review Analysis
Buyer
Demographics
Market
Gap Discovery
Top
Reviewed Products
Frequently Asked Questions About Our Etsy Shop Analyzer
Our AI analyzes all customer reviews from an Etsy shop to extract sentiment scores (0-100), buyer demographics, purchase motivations, and areas for improvement. You'll see what customers love, what they complain about, and market gaps you can exploit—all in their own words. Unlike simple star ratings, sentiment analysis understands the emotions behind reviews. A 5-star review saying "It's fine" scores lower than a 5-star review saying "Absolutely love this! Exceeded all expectations!"
Our AI uses natural language processing (NLP) to: (1) Read every review from the shop (not just recent ones), (2) Identify positive vs. negative sentiment, (3) Extract recurring themes and topics, (4) Detect buyer demographic signals (gift language, repeat purchases), (5) Identify pain points and feature requests, (6) Calculate an overall sentiment score (0-100). You receive a comprehensive report showing what customers love, what they want improved, and opportunities competitors are missing.
Our AI detects demographic signals from review language: gift buyers vs. personal use (detects phrases like "bought for my wife", "perfect gift"), repeat customers ("buying again", "third time ordering"), customer loyalty ("favorite shop", "always perfect"), age group patterns (based on language style and references), and purchase occasions (birthdays, holidays, weddings). This helps you understand who buys from successful shops so you can target the right audience.
Top Reviewed Products are listings ranked by review count—the most reliable indicator of sales volume on Etsy. Products with more reviews generally sell more (unlike favorites or views, which can be inflated). We show you which items generate the most customer engagement and satisfaction, helping you validate product ideas and identify proven winners.
Yes! You can provide custom instructions to guide the analysis. For example: "Focus on pricing feedback", "Analyze only reviews mentioning shipping", "Look for quality complaints", or "Identify what makes repeat customers loyal". The AI tailors its analysis to your specific research needs.
Shop data including reviews is refreshed in real-time when you run an analysis. You always get the latest customer feedback and sentiment analysis based on current reviews—not cached data from weeks ago.
Absolutely! Shop Analyzer is great for understanding your own customers. See what they love about your products, identify improvement opportunities, and benchmark your sentiment scores against competitors. Many sellers use it monthly to track how customer sentiment changes as they improve their products and service.
Yes! Review analysis works for shops in any Etsy category: handmade items (jewelry, clothing, art), digital products (printables, templates, graphics), vintage goods, print-on-demand, craft supplies, and more. Our AI adapts its analysis based on the shop's category and niche for relevant insights.
Free Plan: 3 shop analyses (test the feature). Essential Plan ($19/mo): 25 shop analyses per month. Empire Plan ($99/mo): Unlimited shop analyses. All plans include full AI review sentiment analysis, buyer demographics, and market gap discovery.
Depends on your plan: Free: 3 analyses total, Essential: 25 analyses per month, Empire: Unlimited analyses. Analyses reset monthly. You can analyze the same shop multiple times (useful for tracking sentiment changes over time).
Simply enter the shop's URL or name in our Shop Analyzer tool. We'll instantly retrieve publicly available data including reviews, ratings, product performance, and customer feedback—then analyze it with AI to show buyer sentiment, demographics, and market gaps. No special access needed—we analyze the same public information any Etsy visitor can see, but with powerful AI to extract insights.
Yes! Insight Agent offers 3 free shop analyses (no credit card required). This lets you test our AI review sentiment analysis, buyer demographics, and market gap discovery before committing to a paid plan. After your free analyses, Essential plan includes 25 analyses/month for $19, or Empire plan offers unlimited analyses for $99/month.
While exact sales numbers aren't publicly available, our Shop Analyzer provides strong sales indicators: review count (most reliable sales proxy—more reviews = more sales), top-reviewed products (best-sellers by customer engagement), review velocity (recent review growth indicates current sales trends), and customer feedback (reviews mentioning reorders, high demand, stock issues). Combined with tools like EverBee for revenue estimates, you can get a complete picture of competitor performance.
Yes! Analyze the same shop monthly to track: review growth (indicates sales velocity), sentiment score changes (improving or declining customer satisfaction), new product launches (review counts on recent listings), and customer feedback trends (emerging complaints or praise). This creates a "sentiment timeline" showing if competitors are improving, declining, or staying consistent.
Depends on your needs: For SEO/keywords: eRank (free plan), For product research: EverBee (limited free features), For customer psychology: Insight Agent (3 free analyses). We recommend using multiple tools: (1) eRank for keyword research, (2) EverBee for trending products, (3) Insight Agent for understanding why they sell. Our 3 free analyses let you test AI review sentiment analysis risk-free.
eRank focuses on SEO and keyword optimization—it shows you what keywords competitors rank for and helps you optimize listings for Etsy search. Insight Agent focuses on customer psychology—we show you why customers buy through AI review analysis, revealing sentiment, demographics, and pain points. Best approach: Use both. eRank optimizes for search engines, Insight Agent optimizes for human emotions. Together they're powerful.
Different tools for different questions: EverBee answers "What products are trending and how much revenue do they generate?" Insight Agent answers "Why are customers buying these products and what do they wish was different?" Use EverBee to find trending products. Use Insight Agent to analyze customer reviews and discover how to make them even better (or find gaps competitors miss).
Not "better"—different focus: Alura provides broad shop metrics: sales estimates, pricing strategies, shop policies. Insight Agent provides deep customer intelligence: AI sentiment analysis, buyer demographics, emotional triggers, market gaps. Alura tells you what's working. Insight Agent tells you why it's working and how to improve it. If you want sales numbers → Alura. If you want customer psychology → Insight Agent.
Absolutely! They're complementary tools: Marmalead/eRank: Keyword research, SEO optimization, listing grading. Insight Agent: Customer psychology, review analysis, market gaps. Workflow: (1) Use Marmalead/eRank to find high-potential keywords, (2) Use Insight Agent to analyze top-ranking shops for those keywords, (3) Discover what customers love and what gaps exist, (4) Create SEO-optimized listings that solve real customer problems. SEO gets you found. Customer intelligence gets you bought.
Yes! We only use publicly available data that any Etsy visitor can see—shop info, product listings, and customer reviews. We don't access private data, sales numbers, or any information that requires seller credentials. This is the same as manually reading competitor reviews, but automated with AI for faster, deeper insights. It's similar to how eRank, Alura, and EverBee operate—all compliant with Etsy's terms.
Discover What Buyers Really Want
Stop guessing what customers want. Analyze competitor reviews, find market gaps, and capture customers looking for what you offer.