AI Analytics co-pilot

Overview

AI Analytics Assistant is an integrated analytics co-pilot built directly into PageFly Analytics, helping you understand and optimize your store's performance without needing to be an analytics or e-commerce expert.

What makes it special: AI can analyze your data, detect anomalies, and provide specific recommendations based on your real data and personalized info, even before you ask.

How to start using

  1. Access Analytics page

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

  3. Chat with AI: Ask anything about your data

  4. Customize AI: Click adjustment icon β†’ declare goals/business model/experience level

AI panel trigger button in Analytics dashboard

What features are available?

1. Learning & Support

AI helps you understand analytics from the basics to the advanced:

  • Explains all metrics: Bounce rate, Conversion rate, Sessions, Gross sales, etc. – AI explains in plain language, avoiding technical jargon.

  • Feature guidance: How to read and navigate dashboards, how to monitor data by devices/countries, how to compare time periods, etc.

  • Technical troubleshooting: GA4 won't connect? Data discrepancies? AI walks you through step-by-step troubleshooting.

  • Analytics skill building: Instead of just giving answers, AI guides you on how to analyze data yourself so you can make informed decisions.


2. Contextual data analysis

AI answers specific questions based on your available store's data on your GA4:

  • Time-based comparisons: This week vs last week, this month vs last month, or custom date ranges, etc.

  • Segment analysis: Mobile vs desktop, traffic sources, new vs returning visitors, etc.

  • Page-level comparisons: Which pages convert best? Which needs improvement?

Key strength: When you ask about any metric, AI automatically:

  1. Retrieves current data

  2. Compares to the previous period

  3. Scans for anomalies

  4. Provides insights and action recommendations – all in a single response.


3. Automatic anomaly detection

AI proactively identifies issues or opportunities every time you query any metric. If an anomaly is detected, AI highlights it prominently in the response.

Some types of anomalies:

  • Sudden changes: Metrics change >30% in <7 days, traffic spike/drop >50%

  • Pattern breaks: Weekly trends disrupted, expected weekend peaks don't occur

  • Segment-specific issues: Mobile performs abnormally worse than desktop, specific traffic source conversion drops suddenly


4. Specific action recommendations

AI doesn't stop at identifying problems – it provides concrete next steps based on your data and customized knowledge base:

Some types of recommendations:

  • Quick wins: Mobile load time 4.8s β†’ Consider compressing images

  • Technical improvements: High bounce rate on slow pages β†’ Optimize assets

  • Business intelligence: Traffic source X converts 3x better β†’ Increase ad spend there


5. AI customization

You can customize how AI responds to match your store's specific context:

Customize AI modal

Information you can configure:

  • Main goals: Increase conversion rate, reduce bounce rate, increase traffic, increase AOV, etc.

  • Business model: E-commerce, Dropshipping, Subscription, POD, D2C, etc.

  • Experience level: Beginner, Average, Expert

  • Your role: Business owner, Marketer, Developer, Agency

Impacts:

  • Explanation depth: Beginners get every term explained, Experts receive denser insights

  • Insight priorities: If the goal is "Increase conversion rate", AI highlights CVR-related insights first

  • Presentation style: Business owners receive insights framed by revenue impact, Marketers by campaign performance


6. Confidence levels – Transparency about reliability

AI always clarifies the confidence level of insights:

  • High confidence: Statistical significance present, clear pattern

  • Medium confidence: Limited data, suggestive trend

  • Low confidence: Hypothesis only, needs testing

β†’ You know when to trust actions, when to proceed cautiously.


What AI can't do

  • Can't access data outside your connected GA4 account

  • Can't predict future performance with certainty

  • Can't access personally identifiable information about your customers

  • Can't override PageFly's or Shopify's policies

  • Can't directly modify your store: AI only analyzes and recommends - you have to implement changes yourself

  • Can't guarantee results: AI only gives suggestions without any commitments

  • Can't replace GA4 or Shopify analytics: AI analyzes data from these sources, doesn't collect data itself

  • Can't provide links/CTAs: AI won't redirect you outside PageFly or sell anything

  • Can't work well with insufficient data: If the sample size is too small, AI may answer with low confidence


More questions? Chat with AI directly in Analytics – it will explain almost everything! πŸš€

Last updated

Was this helpful?