KPIs: Capturing the Net Promoter Score (NPS)
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    KPIs: Capturing the Net Promoter Score (NPS)

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    Article summary

    This article shows you, how you activate and configure the Net Promoter Score plugin in Mapp Tag Integration. Furthermore, possible analyses in Mapp Intelligence are shown.


    Net Promoter Score (NPS)

    The Net Promoter Score (NPS) is a correlated key figure and is suitable for depicting the success of a company. Through a survey the NPS is determined, which can be displayed with Mapp Tag Integration.
    The share of promoters (supporters) and detractors (critics) is measured by asking a representative group of customers the following question: "How likely are you to recommend company/brand X to a friend or colleague?"
    Responses are measured on a scale from 0 (unlikely) to 10 (very likely). Customers are labeled as promoters if they have answered 9 or 10 and as detractors if they have answered 0 to 6. Customers who answered with 7 or 8 are said to be "indifferent".

    The score is calculated as a percentage by measuring the number of promoters and detractors. This value has a maximum of +100% and a minimum of -100%.


    Pre-configuration

    The following requirements must be met:

    • Mapp Tag Integration must be implemented.

    • At least 1 spare session parameter must be available.

    • At least 1 spare User category must be available.

    Configuration for the data collection

    The following categories and parameters are filled through the NPS plugin and are set up in this article:

    Configuration

    Name

    Description

    Session Parameter

    NPS Session

    (Mandatory) Tracks the submitted evaluation values (0-10) within a session.

    Qty NPS Session

    Automatically created upon saving the NPS Session, this indicates how many times this parameter has been submitted.

    NPS Session Feedback

    Tracks the free text input feedback in a session and is available as an analysis in Visitors > Session Parameters

    Qty NPS Session Feedback

    Automatically created upon saving the NPS Session Feedback, this indicates how many times this parameter has been submitted.

    User Categories

    NPS URM

    Tracks the last evaluation (0-10) of a user.

    NPS URM Feedback

    (Mandatory) Tracks the last feedback of a user.

    Configuration for later analyses

    Configuration

    Name

    Description

    Custom metric

    NPS Qty Promoters

    How often did we track the parameter “NPS Session” with a value >8

    NPS Qty Indifferent

    How often did we track the parameter “NPS Session” with a value =7 or 8

    NPS Qty Detractors

    How often did we track the parameter “NPS Session” with a value <7

    Custom formula

    NPS Session Average

    What’s the average rating over multiple users? Based on parameter “NPS Session”.

    Segments

    NPS Promoters

    All users who selected a value >8 in their last evaluation. Based on User Category “NPS URM”.

    NPS Indifferent

    All users who selected a value of 7 or 8 in their last evaluation. Based on User Category “NPS URM”.

    NPS Detractors

    All users who selected a value <7 in their last evaluation. Based on User Category “NPS URM”.


    Creating custom parameters

    NPS and NPS comments can be tracked through a session parameter. These can be analyzed later.

    • The creation of a parameter is done at Mapp Q3 > Configuration > Custom Parameters > Session Parameter > Create New Custom Parameter.

    • Select "Net Promoter Score" and "NPS Feedback" as "Preconfigured" and choose an appropriate title for both parameters.


    Creating a User category

    NPS and NPS comments (optional) can be tracked through a User category. They later can be shown for each user. Only the last evaluation can be analyzed.

    • The creation of a User category is done at Mapp Q3 > Configuration > Categories > User Categories > New Category.


    Metrics and formulas for the score calculation

    For the final score calculation and easier analysis, you should set up your own metric and formula in Mapp Intelligence.
    Creation through Custom Figures > Custom Formula.

    Creating custom metrics

    Custom metrics serve as components of the formula and additionally, it is also possible to add them to any analysis. The filtering happens through a session parameter.

    NPS Qty Promotors

    NPS Qty Indifferent

    NPS Qty Detractors

    Example: Custom metric on "Visits" basis

    Formula for the score calculation

    With help of the just created metrics you can now create the formula:

    The completed formula should if necessary be released for other logins in the user management. More information on the creation of custom formulas can be found in the training document Custom Figures.


    Creating segments based on the User category

    So that users can easily be analyzed and e.g. with the help of Mapp Marketing automation targeted, you should create segments based on the User category. Create your segments through Mapp Segment Manager > Create new segment.


    Mapp Tag Integration

    Adding the Net Promoter Score plugin to a container

    In Tag Integration, you can add the "Net Promoter Score" Plugin. Click on Tag Integration, choose a container, and click on Add Plugin:


    Configuration Basic

    Determine the categories in the basic settings as well as further detailed settings regarding the properties of the NPS survey.


    Configuration Element

    Determining the elements and their content to be shown.


    Configuration Design

    Configuring the visualization (design). This includes font size, background color, etc.


    Rules

    On which pages should the plugin be activated?


    Analysis in Mapp Intelligence

    What are the session parameters and URM categories for?

    • Session parameters are suitable for time-related analyses. Also, multiple evaluations of a user are visible.
      e.g. "How did the NPS behave within the last 12 months?"

    • URM categories solely show the last evaluation of a user
      e.g. "Which users belong to our promoters?"

    Calculation example

    On January 30 there were 4 evaluations:

    • Evaluation 1: NPS = 5

    • Evaluation 2: NPS = 8

    • Evaluation 3: NPS = 8

    • Evaluation 4: NPS = 7

    In an analysis you would see the following data:

    Evaluation per day based on the session parameter

    Filtering of analyses with segments based on URM categories

    Evaluation of the individual free text input


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