NPS Analytics
Analyzing your NPS score
NPS responses are added to the Appcues NPS dashboard in real-time.
Score responses are then divided into three groups:
- Promoters (9-10)
- Neutrals (7-8)
- Detractors (0-6)
Your NPS score is calculated as the % of respondents who are Promoters — the % of respondents who are Detractors. That is, if you have 1,200 people respond to your NPS survey and 400 are promoter and 200 are detractors, your NPS score would be 17. [(400/1,200) - (200/1,200] *100
A Net Promoter Score can range from -100 (100% detractors) to 100 (100% promoters). Appcues calculates your NPS score automatically for responses over the trailing 30 days. If you want to calculate your score for a different timeframe or for longer than 30 days ago, you have two options:
- Send your NPS data to one of our integrations: If you have one of our integrations enabled, NPS scores will automatically send there where you can analyze them over longer timeframes.
- Export your NPS data to a CSV: Click on the "Export CSV" button and you'll be able to download a spreadsheet of all of your NPS responses.
The Appcues NPS dashboard will also show you detailed quantitative and qualitative feedback for the 50 most recent responses. If any user provides multiple NPS scores during the 30 day period (including if they update their score before submitting feedback), we use their most recent score in our calculation.
Exporting NPS Survey Data
You can export your NPS data by clicking the Export on the right side of the dashboard
Calculating NPS Score from the CSV Export
Your CSV export will contain all of the events for your users who viewed and took your NPS Survey. When you analyze your results to calculate your NPS Score, there are a few things to keep in mind for your calculations.
Surveys Shown versus Survey Response
The nps_survey_started
event indicates that the user was shown an NPS Survey, and does not necessarily indicate that they responded to it. For your calculations, you will want to use the nps_score
event to count up your total NPS respondents.
Users with Multiple Scores
Users may choose to update their score with the "Update Your Score" option, which takes them back to the score submission form. When users submit multiple scores, you will want to use their most recent score in your calculations for the total bucket counts for detractors and promoters.
Users Over Multiple Survey Cycles
If your CSV export spans a timeframe that is greater than your survey's cycle, you will want to count your users' scores for each survey cycle if they were given the survey multiple times. For example, if your survey is shown once every 30 days and your CSV export spans 90 days, there may be users who have taken the survey up to 3 times.
Their scores should be counted once per survey cycle in order to ensure that you are capturing the overall sentiment of users over that 90 day period.
NPS Events and Properties
Event Name | Event Description |
---|---|
nps_survey_started | A user has seen the NPS survey |
nps_score | A user submitted an NPS score. |
nps_feedback | A user submitted NPS feedback after selecting an NPS score. |
nps_ask_me_later_selected_at | A user selected the "Ask Me Later" button at the given timestamp property on an NPS survey that was shown to them |
nps_clicked_update_nps_score | A user that has already submitted an NPS score selected the "Update Score" option and potentially changed their NPS score. |
Default Properties
Property Name | Property Description |
---|---|
timestamp | the time at which this event occurred |
userId | the user that completed the event |
currentPageTitle | the title of the page the user was on when the event was completed |
currentPageUrl | the url of the page the user was on when the event was completed |
sessionPageviews | the number of pages the user visited in the session in which the event was completed |
Event Specific Properties
Event Name | Event Properties |
---|---|
nps_survey_started | default properties (see above) |
nps_score | score- the score that the user selected, default properties (see above) |
nps_feedback | feedback- the qualitative feedback the user provided, default properties (see above) |
nps_ask_me_later_selected_at | askMeLaterSelectedAt- the timestamp at which the user selected "Ask Me Later", default properties (see above) |
nps_clicked_update_nps_score | score- the new score that the user selected, default properties (see above) |