Data & intelligence
Insights
Anomalies, causes and opportunities surfaced before anyone thinks to go looking for them.
- Anomaly detection
- Probable cause
- Daily digest
The problem
What usually goes wrong
The patterns we see most often before teams move onto AASEO.
Problems found too late
A drop is spotted in the monthly report, six weeks after it started.
Dashboards nobody opens
Everything is available and therefore nothing gets noticed.
Alerts without explanation
A red arrow with no cause attached generates panic, not action.
Too many alerts
Every threshold fires, so the team mutes the channel.
Opportunities never surface
Nobody has time to hunt for the wins hiding in the data.
Wrong person notified
Alerts go to a shared inbox instead of the person who owns the page.
Outcomes
What changes
Speed
6 days
earlier problem detection
Versus monthly review cycles
Signal
1
digest per person per day
Filtered to what they own
Quality
72%
of alerts include a cause
Diagnosed automatically
Workflow
Slack
and Teams delivery
Where the team already is
The approach
How we get there
-
01
Learn the baseline
Seasonality-adjusted expectations per segment, so normal variance stays quiet.
-
02
Diagnose automatically
When something breaks the baseline, correlate it against crawl, index and competitor data.
-
03
Route to the owner
The alert reaches the person responsible for that page group, with the fix attached.
FAQ
Common questions
How do you avoid alert fatigue?
Get started
Let's talk about Insights
Thirty minutes with a strategist who has run this exact motion before.
- Live walkthrough of your domain
- 30 minutes, no slide deck
- Named strategist included