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Data Warehouse | Google Business Profile
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Settings
Automation | Google Ads
Insight | Google Ads
Automation | Google Ads
Insight | Google Ads
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Insight | Google Analytics
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Insight | Google Business Profile
Data Warehouse | Google Business Profile
Automation | Google Business Profile
Insight | Google Business Profile
Automation | Google Business Profile
Insight | Google Business Profile
Automation | Google Business Profile
Insight | Google Business Profile
Data Warehouse | Google Business Profile
Automation | Google Business Profile
Insight | Google Business Profile
Automation | Google Business Profile
Insight | Google Business Profile
Data Warehouse
Data Warehouse | Google Search Console
Budget Tracking | Google Sheets
KPI Management | Google Sheets
Data Warehouse | Google Data Studio
Comments
Local Listings
Data Warehouse | Google Data Studio
Data Warehouse | Google Data Studio
Data Warehouse | Google Data Studio
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Insights
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KPI Management
Insights
Integrations | Webhook
KPI Management
KPI Management
KPI Management
KPI Management
KPI Management
KPI Management
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Data Warehouse | BigQuery
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Automation | Microsoft Ads
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Data Warehouse
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Clients
Data Warehouse | Google Data Studio
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Reviews
Reviews
Automation | Website
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Automation | Google Search Console
Insight | Google Search Console
Automation | Google Search Console
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Integrations | Slack
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Settings
Extension | Explorer
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Integrations | Google Data Studio
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Anomaly Detection
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Data Warehouse
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Integrations | Webhook
Integrations | Webhook
Integrations | Webhook
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Integrations | Webhook
Integrations | Webhook
Integrations | Webhook
Integrations | Webhook
Integrations | Webhook
Integrations | Webhook
Integrations | Webhook
Integrations | Webhook
Integrations | Webhook
Integrations | Webhook
Integrations | Webhook
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Budget Tracking
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Data Warehouse | Google Data Studio
Data Warehouse
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Data Warehouse
Data Warehouse
Data Warehouse
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Data Warehouse | Google Data Studio
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Settings
Settings
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Data Warehouse | Google Business Profile
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Settings
Automation | Google Ads
Insight | Google Ads
Automation | Google Ads
Insight | Google Ads
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Insight | Google Analytics
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Automation | Google Business Profile
Insight | Google Business Profile
Data Warehouse | Google Business Profile
Automation | Google Business Profile
Insight | Google Business Profile
Automation | Google Business Profile
Insight | Google Business Profile
Automation | Google Business Profile
Insight | Google Business Profile
Data Warehouse | Google Business Profile
Automation | Google Business Profile
Insight | Google Business Profile
Automation | Google Business Profile
Insight | Google Business Profile
Data Warehouse
Data Warehouse | Google Search Console
Budget Tracking | Google Sheets
KPI Management | Google Sheets
Data Warehouse | Google Data Studio
Comments
Local Listings
Data Warehouse | Google Data Studio
Data Warehouse | Google Data Studio
Data Warehouse | Google Data Studio
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Insights
KPI Management
KPI Management
Insights
Integrations | Webhook
KPI Management
KPI Management
KPI Management
KPI Management
KPI Management
KPI Management
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Data Warehouse | BigQuery
Data Warehouse | BigQuery
Integrations | Google Data Studio
Settings
Automation | Microsoft Ads
Insight | Microsoft Ads
Automation | Website
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Data Warehouse
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Clients
Data Warehouse | Google Data Studio
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Reviews
Reviews
Reviews
Automation | Website
Insight | Website
Automation | Website
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Automation | Google Search Console
Insight | Google Search Console
Automation | Google Search Console
Insight | Google Search Console
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Extension | Explorer
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Clients
Integrations | Google Data Studio
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Comments
Frequently Asked Questions
A rolling average, also known as a moving average, is a metric used to forecast time series data by taking an average over a period of time to remove short term fluctuations.
It's calculated by averaging values over a specific period of time. The period average “rolls” or “moves” because each day the period changes to remove the oldest value and add the newest value.
The default time period used is 30 Days. This however can be changed to up to 60 days.
When tracking a calculated metric in a Google Ads KPI, the moving average is used for forecasting the KPI to the end of the period (week or month). The daily value utilizes a Machine Learning prediction so that you can better understand daily performance, whilst the rolling average provides you an indication of performance in the future because the metric is measured as an average over time.
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