Documentation Index

Fetch the complete documentation index at: https://docs.mapp.com/llms.txt

Use this file to discover all available pages before exploring further.

User Tracking

Prev Next

User tracking recognizes visitors across browsers and devices and lets you enrich them with attributes such as age, gender, or CRM data.

It allows, for example, the following analyses:

  • How many unique users were there?

  • How many end devices do the visitors use?

  • How many offline orders were made by visitors that I reached via campaigns?


Customer ID

The dimension Visitor Id is the basis for all user-related analyses. It contains the most specific ID for user recognition.

  • For recognizing (returning) users, a unique identifier is used — for example a customer number from your CRM or shop system, or a (hashed) email address. It is stored in the Custom Visitor Id (also called "Customer ID").

  • This login information is also used in the Visitor Id, so users can be identified across browsers and devices. Without login information, the Visitor Id is based on the cookie only.

  • Further information can be collected as categories (e.g. Age, Gender) for each user and imported for each Customer ID.

  • A list of all tracked Customer IDs is available in Visitors > Visitors - User Relationship Management > Custom Visitor Id.

  • The data quality improves, as users are not counted multiple times per browser or device.

Data privacy

When you use personal data as the Customer ID — for example an email address — transmit it only in encrypted or hashed form (SHA256 is recommended). Send personal user data only after the visitor has consented to tracking.

Setup: Activate "User Centric Tracking" in Mapp Q3 > Configuration > System Configuration > Data Collection to use the Customer ID for the visitor calculation.

Best practices:


User categories

Through User categories, you can save user-centric data. Numerous User categories are predefined and do not have to be configured manually.

Predefined categories

The following predefined categories exist:

User categories

Description

Data collection done via

User - Age

Specifies the current age of a visitor in 5-year increments. Calculated using the recorded date of birth.

Pixel, import, widget

User - City

The city from which a visitor comes.

Import

User - Country

The country from which a visitor comes.

Import

User Profile - Customer Discount Value

How much discount was included in the order?

Pixel, import

User - E-Mail Opt-in

Specifies whether a user has registered for a newsletter. The following are differentiated: unknown (default), yes, no.

Pixel, import

User - Email Receiver ID

Contains a unique ID of the newsletter recipient and thereby enables newsletter remarketing.

Pixel, import

User - Gender

Shows the gender of the visitor that was submitted.

Pixel, import, widget

User - Postal code

The postal code from which a visitor comes.

Import

Custom User categories

With custom User categories, individual user information can be tracked to a Customer ID or end-device visitor IDs.

An upload to end-device visitor IDs is only possible via datafeed.

Examples:

  • Creditworthiness

  • Number of offline orders

  • Lead status

Customer ID

Number of offline orders

Creditworthiness

168456

1

Green

168457

0

Green

168458

2

Red

Good to know:

  • The last value tracked for a Customer ID is shown.

  • Customer IDs without an assigned User category appear as -.

Analysis: Available in Visitors > User Categories (for the data type Text).

Setup & best practices: