AI Insights
Explain GA4 changes in plain English.
When conversions dip or a segment spikes, AI Insights helps you understand what changed so you can write clearer client updates and make faster decisions — with explanations grounded in the data shown on your dashboard.
AI Insights is available as an optional add-on. You can use Fluxion dashboards without it.
Explainers
What changed?
Turn unexpected shifts into a readable story for stakeholders and clients.
Segments
Where did it happen?
Compare channels, page paths and devices to see what’s driving the change.
Reporting
Explain it clearly
Use the dashboard and explanations together to ship updates faster.
TL;DR
- Use AI Insights when numbers change and you need a clear explanation.
- Explanations are grounded in the dashboard data you’re viewing.
- You’ll get likely drivers plus a recommended next step in a consistent format.
How it works
AI Insights is designed to help you interpret reporting metrics and decide what to check next, not replace your analytics setup.
Step 1
Connect GA4
Fluxion reads your existing GA4 reporting data.
Step 2
Review the dashboard
See conversions, funnels and segments in a clean layout.
Step 3
Ask for an explanation
Use AI Insights when you need a grounded explanation and a recommended next step.
Example (what you’ll actually see)
This is an example of the kind of output AI Insights produces. In-app, the specifics (numbers, channels, page paths) come from the GA4 dashboard data you’re viewing.
Example insight
Example uses dummy numbers.
Created: Feb 3, 2026
Property: Example GA4 Property
Question: What changed since last period, and what should I do next?
Summary
- Total users decreased 32.5% (9,200 to 6,210).
- Sessions decreased 21.6% (12,400 to 9,720) while avg time per user increased 38.9%.
- Conversions dropped 40% (10 to 6), mainly from Referral.
What changed›
- Page views dropped 44.8% (41,800 to 23,100).
- Referral sessions fell 47% (115 to 61) and conversions from Referral fell 60% (5 to 2).
Why it happened›
- Referral was previously a high-converting channel; the drop explains most of the conversion decline.
- Direct traffic remained stable but did not convert, suggesting friction on key pages.
What to do next›
- Review the top Referral sources and check whether links/campaigns changed or stopped.
- Audit /checkout for errors and mobile UX friction (speed, form errors, payment failures).
Action panel›
Heading: Total users down 32.5% and conversions down 40%
Severity: High
Confidence: High
Time window: Last 30 days vs previous 30 days
Effort: 1-2 hours
Next step: Investigate the Referral channel drop and validate the top sources.
What data is missing›
- No campaign cost/spend data to correlate with acquisition changes.
- No funnel breakdown or error logs to pinpoint where drop-off increased.
Summary
- Total users decreased 32.5% (9,200 to 6,210).
- Sessions decreased 21.6% (12,400 to 9,720) while avg time per user increased 38.9%.
- Conversions dropped 40% (10 to 6), mainly from Referral.
What changed
- Page views dropped 44.8% (41,800 to 23,100).
- Referral sessions fell 47% (115 to 61) and conversions from Referral fell 60% (5 to 2).
Why it happened
- Referral was previously a high-converting channel; the drop explains most of the conversion decline.
- Direct traffic remained stable but did not convert, suggesting friction on key pages.
What to do next
- Review the top Referral sources and check whether links/campaigns changed or stopped.
- Audit /checkout for errors and mobile UX friction (speed, form errors, payment failures).
Action panel
Heading: Total users down 32.5% and conversions down 40%
Severity: High
Confidence: High
Time window: Last 30 days vs previous 30 days
Effort: 1-2 hours
Next step: Investigate the Referral channel drop and validate the top sources.
What data is missing
- No campaign cost/spend data to correlate with acquisition changes.
- No funnel breakdown or error logs to pinpoint where drop-off increased.
Note: AI Insights summarizes patterns in the dashboard data you’re viewing. It’s not a substitute for deeper investigation.
What you get
AI Insights is focused on reporting clarity: what changed, where it changed, and what to check next.
Plain-English summary
A concise explanation you can paste into client updates or internal reports.
Likely drivers
Highlights the channels, pages, devices, or segments most associated with the change.
Suggested next checks
Practical next steps so you know where to look in GA4 (or in your ads/site) to confirm the root cause.
Consistent format
Explanations follow a consistent structure so it’s faster to scan week over week.
How AI credits work
AI Insights uses credits so you’re only paying for AI when you use it.
See credit details›
Credits
Used per explanation
Each explanation typically uses one credit (usage can vary based on complexity).
Allowance
Depends on your add-on
Your plan/add-on determines how many credits you have available each month.
Tracking
Visible in-app
You can review usage so you’re never surprised by where credits go.
Privacy & access
Your GA4 data stays in Google Analytics. Fluxion reads reporting metrics to power dashboards and AI explanations.
See privacy details›
Owner-managed connection
For teams, the account owner manages the Google connection. Members only see properties they’re granted.
Disconnect any time
You can disconnect Google Analytics from settings at any time.
How AI uses your data
AI Insights uses the metrics and context you’re viewing in the dashboard to generate an explanation. If you want the full details, see the privacy policy.
Common questions
Short answers about what AI Insights does and how it fits into Fluxion.
What do I get from an AI Insight?›
A plain-English explanation of what changed, plus likely drivers (channels/page paths/devices/segments) and a recommended next step—based on the dashboard metrics you’re viewing.
How do AI credits work?›
AI Insights uses credits. Each explanation typically uses one credit. Your plan/add-on determines your monthly credit allowance and you can see usage inside the app.
Does AI Insights change my GA4 tracking?›
No. AI Insights reads GA4 reporting data and uses it to generate explanations. It doesn’t modify your GA4 setup or tags.
How does it work for teams?›
For teams, the account owner manages the Google connection. Members see the owner-managed connection and can only access the GA4 properties they’re granted.
Is AI Insights required to use Fluxion?›
No. The dashboard works on its own. AI Insights is there when you want explanations.