Overview
Huginn’s AI-powered Data Analyst helps you quickly uncover insights from your ecommerce data using natural language questions. Instead of navigating dashboards or building reports, you can simply ask Huginn questions and get immediate answers.
Whether you want to understand product trends, customer behavior, campaign performance, or how personalization impacts revenue, Huginn can help you analyze your data in seconds.
To help you get started, we’ve compiled example questions you can ask across the different data sources available in Huginn:
Product Catalog
Orders
Segmentation & Insights
Recommendations
Onsite Content Personalization
Search
Category Merchandising (Universal)
Dynamic Bundles
Personalized Emails
Cross-Source Questions
🛍 Product Catalog
Use these questions to analyze product performance, inventory trends, and merchandising opportunities.
Example questions
What are the top 10 best-selling products this month?
Which products generated the most revenue in the last 30 days?
Are there any out-of-stock products with high demand?
Which products have seen the fastest sales growth this quarter?
Which products have the highest add-to-cart rate but low purchases?
Which products have not generated any sales in the last 60 days?
Based on the days left of inventory, which products are likely to go out of stock next month but have high engagement?
🧾 Orders
Use these questions to explore revenue trends, order behavior, and purchasing patterns.
Example questions
What was the total revenue last Black Friday?
How many orders were placed in the last 30 days?
How has the average order value changed over the past 6 months?
What is the average order value this month?
How many repeat orders do we get per month?
Which day of the week generates the most orders?
What are the top-selling products by order volume?
How has revenue changed compared to the same period last year?
Which products most frequently appear in the same order?
👥 Segmentation & Insights
Ask questions about customer behavior, lifecycle stages, and how different segments perform.
Example questions
Which segment contributes the most to revenue?
How has the size of the "at-risk" customer segment changed over time?
What’s the average time between first and second purchase?
Which segments have the highest repeat purchase rate?
How do conversion rates compare between first-time buyers and returning customers?
Which segments have the highest share of abandoned carts?
Which customer segment generates the highest average order value?
What percentage of revenue comes from the top customer segments?
👗 Recommendations
Understand how product recommendations influence engagement, conversions, and revenue.
Example questions
How much revenue is attributed to product recommendations?
What are the most-clicked recommended products?
Which recommendation types perform best on product detail pages?
Do recommendations increase average order value?
What percentage of orders include a recommended product?
Which recommendation placements generate the most revenue?
Which recommended products have the highest conversion rate?
What is the click-through rate of recommendations on the homepage?
Which products appear most frequently in recommendation slots in the last 30 days?
How has recommendation-driven revenue changed over time?
🎯 Onsite Content Personalization
Analyze the impact of personalized banners, content blocks, and campaigns on engagement and conversions.
Example questions
What’s the conversion rate for users who saw personalized content?
Which OCP campaigns had the highest click-through rate?
What’s the revenue impact of the current OCP campaigns?
Which segments respond best to onsite content personalization?
Which personalized content blocks generate the most clicks?
How much revenue was influenced by onsite content personalization in the last 30 days?
What is the average conversion rate for OCP campaigns?
Which campaigns have the highest engagement rate?
🔎 Search
Analyze how site search influences engagement, product discovery, and conversions.
Example questions
How is search performing this week?
What are the top converting search terms?
Which search queries have high traffic but low conversion?
What are the biggest opportunities to improve search performance?
Show me the total sales attributed to search in the last 30 days.
What are the top queries in the last 30 days ranked by no-results count?
Which search queries generate the most revenue?
What is the conversion rate for users who use search versus those who don’t?
Which products are most frequently purchased after a search?
How has search-driven revenue changed over the past 3 months?
🧩 Category Merchandising (Universal)
Analyze how category merchandising strategies impact product visibility and sales.
Example questions
Which category generated the most revenue this week?
Are any categories underperforming?
Which categories generated the most clicks in the last 30 days?
Which categories benefit the most from merchandising rules?
What is the conversion rate for products promoted through merchandising rules?
Which categories generated the most product views?
How has revenue influenced by category merchandising changed over time?
👠 Dynamic Bundles
Analyze how dynamic bundles drive cross-selling and increase order value.
Example questions
How are dynamic bundles performing this month?
Which dynamic bundle generated the most revenue?
Which products generated the most revenue through bundles in the last 7 days?
What percentage of orders include a bundle?
Which bundles have the highest conversion rate?
What is the average order value for orders containing bundles?
Which products are most frequently purchased through bundles?
Which bundles generated the most engagement?
How much revenue was generated through bundles in the last 30 days?
How has bundle performance changed compared to last month?
📧 Personalized Emails
Analyze the performance of personalized email content and product recommendations.
Example questions
How much revenue did email widgets influence last week?
Which email campaign had the highest click-through rate?
Which products generate the most revenue from email widgets?
What is the average conversion rate for personalized emails?
Which email widgets generate the most clicks?
How much revenue was influenced by email personalization in the last 30 days?
Which email campaigns generated the most orders?
What is the average order value for orders driven by email widgets?
Which products are most frequently purchased after clicking an email widget?
How has email-driven revenue changed over the past 3 months?
🔀 Cross-Source Questions
These questions combine insights across multiple data sources, helping you understand how products, segments, campaigns, and personalization strategies interact.
Example questions
What are the top-selling products driven by recommendations in the last 30 days?
Which customer segments generate the most revenue from recommendations?
Which segments respond best to product recommendations?
Which segments generate the most orders influenced by recommendations in the last 30 days?
What are the top-selling product categories for the “loyal customers” segment in the last 30 days?
Which products are most frequently purchased after being recommended?
How does search performance differ between customer segments?
Which products perform best when promoted through both recommendations and merchandising rules?
Which customer segments generate the most revenue through personalized content?
What are the top-selling products among users who interact with onsite personalization?
💬 Need Help?
Just start typing your question into Ask Huginn. You can ask broad or specific questions—Huginn will analyze your data and return relevant insights.