Use case

Customer Journey Analytics

For brands who wanna analyze every interaction of the visitor / customer with the brand. Is not related ONLY to advertising, acquisition or revenues, but also how the different behaviors of the consumers impact the overall company business.

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They wanna analyze every interaction of the visitor/customer with the brand. Is not related ONLY to advertising, acquisition or revenues, but also how the different behaviors of the consumers impact the overall company business.


Is a next level of analytics maturity.

Most of the time include outbound marketing campaign (eMail, SMS, etc.) to acquired customers. The main goal is to keep them engaged with the brand (retention) with the goal to make recurring purchases.

So the brand wants to analyze how the outbound marketing campaign impact the business’ result.

Another example: they can put in correlation the requests of support to the customer’s behavior on the website traffic or a specific advertising campaign.


In order to do that we need two JOIN/MATCHING:

  1. From Advertising to “Internal Systems“ via UTM
  2. between “Internal Systems” via CustomerID/Email

Ingredients

Data schema is pre-defined
Dimensions & metrics are unified across all plaforms
Get a free dashboard in Google Data Studio.

They wanna analyze every interaction of the visitor/customer with the brand. Is not related ONLY to advertising, acquisition or revenues, but also how the different behaviors of the consumers impact the overall company business.


Is a next level of analytics maturity.

Most of the time include outbound marketing campaign (eMail, SMS, etc.) to acquired customers. The main goal is to keep them engaged with the brand (retention) with the goal to make recurring purchases.

So the brand wants to analyze how the outbound marketing campaign impact the business’ result.

Another example: they can put in correlation the requests of support to the customer’s behavior on the website traffic or a specific advertising campaign.


In order to do that we need two JOIN/MATCHING:

  1. From Advertising to “Internal Systems“ via UTM
  2. between “Internal Systems” via CustomerID/Email

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They wanna analyze every interaction of the visitor/customer with the brand. Is not related ONLY to advertising, acquisition or revenues, but also how the different behaviors of the consumers impact the overall company business.


Is a next level of analytics maturity.

Most of the time include outbound marketing campaign (eMail, SMS, etc.) to acquired customers. The main goal is to keep them engaged with the brand (retention) with the goal to make recurring purchases.

So the brand wants to analyze how the outbound marketing campaign impact the business’ result.

Another example: they can put in correlation the requests of support to the customer’s behavior on the website traffic or a specific advertising campaign.


In order to do that we need two JOIN/MATCHING:

  1. From Advertising to “Internal Systems“ via UTM
  2. between “Internal Systems” via CustomerID/Email

Data schema is pre-defined
Dimensions & metrics are unified across all plaforms
Get a free dashboard in Google Data Studio.
No items found.

Data schema is pre-defined
Dimensions & metrics are unified across all plaforms
Get a free dashboard in Google Data Studio.
No items found.

Data schema is pre-defined
Dimensions & metrics are unified across all plaforms
Get a free dashboard in Google Data Studio.
No items found.

Data schema is pre-defined
Dimensions & metrics are unified across all plaforms
Get a free dashboard in Google Data Studio.
No items found.

Data schema is pre-defined
Dimensions & metrics are unified across all plaforms
Get a free dashboard in Google Data Studio.
No items found.

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Scott H
President
Scott H
President

Improvado does a great job at allowing for the flexibility of variable output demands.

The entire team from start to finish has been great to work with and they address problems quickly and effectively.

Read the case study

Improvado does a great job of allowing for the flexibility of variable

They are willing to go the extra mile to attend to your query and help to the best they can.

Helping to connect to various advertising platform such as Google Ads, Facebook, DV360, Trade Desk.

They are a solution to connect to most advertising platform and provide a multitude of metrics from these platforms

Read the case study

Professional, responsive and willing to go the extra mile to help. They are a solution to connect to most advertising platforms and provide a multitude of metrics from these platforms