AI Analytics co-pilot
The AI Analytics Co-pilot is a built-in assistant that helps you understand your data and optimize your pages β without needing to be an analytics expert. It analyzes your real store data and provides specific, actionable recommendations.
How to start
Go to Analytics
Click the AI button in the top right corner (available on all analytics screens)
Type your question or select a suggested prompt
AI analyzes your data and responds in plain language
What AI can do
1. Explain your metrics
Ask about any metric and AI explains what it means, whether your numbers are good or bad, and what you can do about it.
Example questions:
"What is my bounce rate and is it good?"
"Why did my conversion rate drop this week?"
"Which page has the best engagement time?"
2. Analyze your data
AI answers questions using your actual store data β not generic advice.
Time comparisons: "How did this week compare to last week?"
Device analysis: "Do mobile visitors convert differently than desktop?"
Page comparisons: "Which of my product pages performs best?"
When you ask about any metric, AI automatically:
Retrieves current data
Compares to the previous period
Checks for unusual patterns
Provides insights and recommendations
3. Detect anomalies
AI proactively identifies unusual patterns in your data:
Sudden changes β a metric shifts more than 30% in less than 7 days
Pattern breaks β expected trends (like weekend traffic peaks) don't happen
Device-specific issues β mobile performs significantly worse than desktop
When an anomaly is detected, AI highlights it prominently in the response.
4. Recommend actions
AI provides concrete next steps based on your data:
"Mobile bounce rate is 72% β consider compressing images and simplifying your mobile layout"
"Email traffic converts 3x better than social β increase email marketing investment"
"Product page A converts at 8% while B converts at 2% β A uses larger product images and has reviews above the fold"
5. Customize AI for your store
Click the adjustment icon in the AI panel to tell AI about your business:
Main goals
Increase conversions, reduce bounce, grow traffic, increase AOV
AI prioritizes insights related to your goal
Business model
E-commerce, Dropshipping, Subscription, D2C, POD
AI tailors advice to your business type
Experience level
Beginner, Average, Expert
Beginners get simpler explanations; experts get denser insights
Your role
Business owner, Marketer, Developer, Agency
Insights framed by revenue impact vs campaign metrics
6. Confidence levels
AI always tells you how confident it is:
High
Clear pattern in your data, statistically significant
Medium
Suggestive trend, but limited data
Low
Hypothesis only β needs more data or testing to confirm
What AI cannot do
Access data outside your store β AI only sees your PageFly analytics data
Predict the future with certainty β AI gives estimates, not guarantees
Access customer personal information β AI sees totals and averages, never individual names, emails, or orders
Make changes to your store β AI only analyzes and recommends; you implement changes yourself
Work well with very little data β if your store has fewer than 50 sessions, insights may have low confidence
Tips for getting the most from AI
Be specific: "Why did my homepage bounce rate increase from 40% to 55% this week?" gets better answers than "Why is my bounce rate bad?"
Follow up: Ask "What should I do about this?" after AI identifies a problem
Set your context: Configure your goals and experience level so AI gives you relevant advice
Verify important insights: Cross-check AI recommendations with your own knowledge of recent changes (new campaigns, price changes, seasonal effects)
Use the thumbs up/down: Rating AI responses helps improve accuracy for all PageFly users
Last updated
Was this helpful?