Overview
Huginn’s AI-powered Data Analyst helps you quickly uncover insights from your ecommerce data using natural language questions. Whether you want to understand product trends, customer behavior, campaign performance, or how personalization is impacting revenue—just ask.
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
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 have had the highest return rate in the last 90 days?
Are there any out-of-stock products with high demand?
What categories generate the most revenue?
🧾 Orders
Dig into order-level insights like revenue trends, conversion performance, and average order value.
Example questions:
What was the total revenue last Black Friday?
How has average order value changed over the past 6 months?
How many repeat orders do we get per month?
👥 Segmentation & Insights
Ask 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?
🤖 Recommendations
Understand how product recommendations are influencing user behavior and sales.
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?
Can you show me the top products most frequently appearing in recommendation slots in the last 30 days?
🎯 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?
🔀 Cross-Source Questions
These questions combine insights across multiple data sources—for example, how product performance relates to customer segments or how personalized content drives conversions.
Example questions:
What are the top-selling products driven by recommendations in the last 30 days?
Can you show me which colors or variants are most frequently purchased after being recommended in the last 30 days?
Which segments respond best to product recommendations?
Which segments generate the most orders influenced by recommendations in the last 30 days?
Can you show me the top-selling product categories for the ‘loyal customers’ segment in the last 30 days?
💬 Need Help?
Just start typing your question into Ask Huginn. You can be specific or broad—Huginn will guide you to the right insights.
Tip: Use filters (e.g. timeframe, customer segments, etc.) in your questions to get even more granular results.