End-to-end analytics from Andata — evaluating marketing channels and traffic sources
Posted: Sat Feb 22, 2025 10:19 am
Marketers and advertisers often measure data and make decisions based on it. To do this, they use end-to-end analytics . With its help, you can:
see the user's entire journey from the first interaction with advertising content to target actions such as purchase, registration or subscription,
understand which marketing strategies generate the most revenue and where customers are being lost.
adjust advertising campaigns and optimize advertising costs.
In this article, we'll use practical examples to look at how to visualize netherlands mobile database data, use different attribution models, and apply cohort analysis.
Content
How Andata's end-to-end analytics works
What does analytics show in Andata
Visualization across all traffic sources
Marketing Analytics Template
Grouping and classification of channels
Cohort analysis and detailing
The "Digital User Passport" Technology and its Role in Analytics
Briefly about the main thing
How Andata's end-to-end analytics works
End-to-end analytics combines data from various sources, such as CRM, ERP, and BI systems that are not connected to the site, but where target actions also occur. This data helps to understand how users interact with an ad or brand at all stages of the campaign.
Here are the main events that are taken into account:
sales - information about purchases, average check, returns;
user behavior - pages visited, time on site, transitions;
Advertising channels - traffic sources, clicks, conversions.
All this is processed in the Andata cross-channel analytics system. For convenience, the data is presented in the form of graphs, charts and tables, which allows you to evaluate key indicators and identify trends and problem areas.
A conversion chart depending on the day of the week or a traffic distribution diagram by channels provide a visual representation of the internal processes of advertising campaigns. Let's take a payment event as an example.
see the user's entire journey from the first interaction with advertising content to target actions such as purchase, registration or subscription,
understand which marketing strategies generate the most revenue and where customers are being lost.
adjust advertising campaigns and optimize advertising costs.
In this article, we'll use practical examples to look at how to visualize netherlands mobile database data, use different attribution models, and apply cohort analysis.
Content
How Andata's end-to-end analytics works
What does analytics show in Andata
Visualization across all traffic sources
Marketing Analytics Template
Grouping and classification of channels
Cohort analysis and detailing
The "Digital User Passport" Technology and its Role in Analytics
Briefly about the main thing
How Andata's end-to-end analytics works
End-to-end analytics combines data from various sources, such as CRM, ERP, and BI systems that are not connected to the site, but where target actions also occur. This data helps to understand how users interact with an ad or brand at all stages of the campaign.
Here are the main events that are taken into account:
sales - information about purchases, average check, returns;
user behavior - pages visited, time on site, transitions;
Advertising channels - traffic sources, clicks, conversions.
All this is processed in the Andata cross-channel analytics system. For convenience, the data is presented in the form of graphs, charts and tables, which allows you to evaluate key indicators and identify trends and problem areas.
A conversion chart depending on the day of the week or a traffic distribution diagram by channels provide a visual representation of the internal processes of advertising campaigns. Let's take a payment event as an example.