Overview

What is NPS?

NPS is an acronym for Net Promoter Score. It is a customer loyalty and satisfaction measurement that asks customers how likely they are to recommend your product or service to others on a scale of 0 to 10.

Aggregating NPS scores helps businesses gauge customer satisfaction and improve service, customer support, delivery, etc., to increase customer loyalty.

CleverTap's Net Promoter Score (NPS) dashboard provides a detailed view of the overall NPS feedback received from your customers. To view the NPS dashboard, navigate to Dashboard > Boards > NPS.

NPS Board

The NPS board represents the following data points:

• Overall NPS score
• Total responses received from the customers

The overall NPS score is calculated as the difference between the percentages of Promoters and Detractors (NPS = % of Promoters - % of Detractors).

At a high level, the NPS feedback for a question is categorized into three buckets - Detractors, Passive, and Promoters.

On a scale of 0-10 :

• A Detractor is anybody who gives a score between 0-6.
• Passive is anybody who gives a score of 7 or 8.
• Promoter is anybody who gives a score of 9 or 10.

Let us understand this with an example. For a standard NPS question, "How likely are you to recommend us on a scale from 0 to 10?” If 70% of respondents are Promoters and 10% are Detractors, then you have an NPS of 60.

You can filter the data by campaigns or using the date filter.

Refer to the following image for a better understanding.

The NPS board also provides:

• Bar charts representing data for respective NPS buckets of Detractors, Passives, and Promoters.
• NPS Score Trend over a specific period (daily, weekly, monthly).
• NPS Buckets Trend for Detractors, Passives, and Promoters over a specific period (daily, weekly, monthly).
• A bar graph view of the Ratings Distribution for the selected duration

Additionally, you can view the trend chart for Total Responses Received on a daily, weekly, and monthly basis.

To understand event-related information in detail, refer to user ratings.