What are Marketing Anomalies?
Morphio’s automatic anomaly detection helps track your data across different channels, metrics, and sources on a daily basis. Morphio’s machine learning is based on a predictive model, normalized historical data, trends and a few other parameters. When a significant difference is detected from the predicted normal value, Morphio will notify you via Slack, email and in-platform.
How is an Anomaly defined?
Morphio’s algorithm crunches metrics from multiple integrated platforms. The data is analyzed alongside ‘the same day’ from the previous three months and one year prior. The baseline for each channel and metric is calculated using a deep neural network model that considers many factors to predict benchmarks that are specific to your website.
What does your Anomaly card mean?
- Metric (Avg Time On Site, Sessions, Goal Completions, etc.)
- Channel (Paid Social, Organic, etc.)
- Anomaly level:
a. Level 1 is a slight change
b. Level 2 is a more severe change
c. Level 3 is an extreme change
- Actual values
- The expected range of the values for this date, channel, and metric
- Related Goals, Prediction of the goal most likely to be affected.
a. Dark and light green anomaly cards represent positive changes in your data
b. Red and orange colours represent negative changes in your data
What channels and metrics are being tracked?
The below shows the metrics, dimensions, and channels that Morphio tracks for anomalies:
- Multichannel anomalies:
Source: Google Analytics
Dimensions: All Users, Organic, Paid Search, Paid Social, Display
Metrics: Sessions, Goal Completions, Transactions, Conversion Rate, Avg Session Duration and Bounce Rate
- Campaign anomalies:
Source: Google Ads, Facebook Ads, Microsoft Advertising, LinkedIn Ads
Metrics: CTR, Clicks, Impressions, Conversions, Spend and CPL