Monitor your business 24x7.
Driven by our state of the art machine-learning engine. Be alerted about website, ad or e-commerce issues before they affect your business.
How alerts work
Choose metrics to monitor
What metrics matter to your business? Any metric you can see on Google Analytics & Google Ads you can choose to monitor. Custom segments & dimensions are also supported.
Set the thresholds yourself
When a metric goes outside the minimum & maximum threshold that is when an alert is triggered. You can manually set the thresholds.
Or let AI set the thresholds
Artificial Intelligence learns from the patterns in your data and can set the thresholds for you.
Round the clock monitoring
You can choose to have your data monitored 24 hours a day, 7 days a week.
Alerts sent to your team
When a metric goes outside of the thresholds an alert is triggered. This can be sent to your Slack channel, MS Teams channel, or email (coming soon).
Utilising state of the art machine learning
The way business data changes over time can be complex. Our system uses ML to understand the patterns in your data, and provides actionable insights to the communication tools your organization already uses.
Seasonal patterns
When there are seasonal patterns in your data whether hourly, daily or monthly receive alerts of spikes or drops outside these regular patterns.
Trend pattern examples: sales & traffic might be gradually increasing.
Trend patterns
For positive or negative trends in your data receive alerts for spike & drops outside the regular trend pattern.
Trend pattern examples: sales & traffic might be gradually increasing.
Outliers
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.
Seasonal patters
When there are seasonal patterns in your data whether hourly, daily or monthly receive alerts of spikes or drops outside these regular patterns.
Trend pattern examples: sales & traffic might be gradually increasing.
Trend patterns
For positive or negative trends in your data receive alerts for spike & drops outside the regular trend pattern.
Trend pattern examples: sales & traffic might be gradually increasing.
Outliers
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.
Business Health Dashboard
- 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.
Anomaly detected
Anomaly detected
With our root cause analysis system you can quickly pinpoint trouble spots
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Tailored for you
Monitor all the metrics that matter to your business
Everything that you can find on Google Analytics you can choose to monitor, this includes custom segments and dimensions.
General Site Metrics:
- Goal Completions
- Cross Browser Performance
- Goal Conversion Rate
- Events
- Sessions
- Page Load Speed
- Total Users
- New Users
- Sessions Per User
- Bounce Rate
- Average Session Duration
Ecommerce:
- Revenue
- Transactions
- Conversion Rate
- Total Purchased
- Transactions Per User
- Cart Ads
- Checkouts
- Refunds
- Avg Order Value
- Per Session Value
Google Ads:
- Ads
- Impressions
- Clicks
- Total Cost
- CPM
- Cost Per Click
- Click Through Rate
Alerts FAQ
Artificial intelligence is trained on your website’s past data. It recognises patterns within the data which it uses to set minimum & maximum thresholds. For example it might predict lower values in the evening when a website usually receives less traffic.
You can customize the thresholds by changing how sensitive they are.
There might be situations when your data goes outside the normal thresholds, but you don’t want to receive an alert. For example if sales on your ecommerce site change – you might want to know about a significant decrease but not an increase. You can change the alert settings to turn off alerts for the high threshold or for the low threshold. You can also choose to silence alerts at different times and days of the week.
You can choose to have your metrics checked every hour, or every day. After every hourly or daily cycle is completed we crunch the numbers and send you an alert if one is triggered. There can be a few seconds delay for small sites for this to happen. With larger sites (+500k visitors a month) Google Analytics can sometimes have a delay with when they update their data.
