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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

  1. Go to Analytics

  2. Click the AI button in the top right corner (available on all analytics screens)

  3. Type your question or select a suggested prompt

  4. 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:

  1. Retrieves current data

  2. Compares to the previous period

  3. Checks for unusual patterns

  4. 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:

Setting
Options
How it affects AI

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:

Level
Meaning

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

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