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The way business data changes over time can be complex. Our system uses machine learning to understand the patterns in your data and provides insights when anomalies are found.
When there are seasonal patterns in your data whether hourly, daily or monthly receive alerts of spikes or drops outside these regular patterns.
Seasonal pattern examples: sales & traffic might fluctuate up and down.
For positive or negative trends in your data receive alerts for spike & drops outside the regular trend pattern.
Trend pattern examples: signups might be gradually increasing.
When there is a standard flat pattern in your data and a spike or dip occurs you will receive an alert.
Outliers examples: bounce rate might always be stable.
Live Status
Get an instant snapshot into the health of your organization.
A single dashboard to monitor multiple websites and teams.
Metric breakdowns indicate where action is needed.
Root Cause Analysis
Save time digging around in your data, get a deeper analysis into what could be the possible contributing factors causing the anomaly.
Weverton Timoteo
CTO at SourceLevel
Anna Pogrebniak
Marketing at AddSearch
We use standard SSL encryption. We do not store your data
Work with our team to get set up perfectly
All you need is a Google Analytics account
Business insights for your team