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Advanced subscriptions have tools in place to adjust the performance and frequency of an NPS Survey. These tools help allow you to control how many people shoudl see the survey and how often users should see the survey a second time.
Go to the Property Manager and select the Property you would like to edit.
Towards the bottom of the Property Editor you will see a section entitled Performance Settings.
This is where you can control how many users see your NPS Survey and how often they should see it. Let's spend a few mins going over these settings.
This setting is a percent value from 0-100%. Decimal values are acceptable such as 0.01%. This represents the percentage of users on a daily basis that should be targeted.
As an example. If you receive 1,000 users a day to your website and you set a 1% rate, then you will most likely target approx 10 users per day. By contrast if you set a 5% rate, then you will most likely target approx 50 users per day.
The cooldown period is the number of days that must elapse before a user is allowed to see the survey for a second time. Although preferences may vary, for general survey feedback we often recommend a setting of around 90 days and at a minimum 30 days. Otherwise you may risk pestering your user base.
The values you use are totally up to you and your desired use of the product. Let's look at a couple example implementations as the setting smay vary greatly depending on need.
In this example you include the survey on your home page and want to gauge overall impression of the sites design and usefulness. You will be making changes over the next several months and want to see how the NPS Score changes as you make design changes.
For this implementation, your focus is on getting a slow daily trickle of NPS results (compared to a 3 day flood of results and then turning the surveyoff). For this implementation to work we would advise targeting a 90 day cooldown for users. The target percentage base should then be your total user base over a 90 period, divided by 90 days.
In this example it may be desired to have the survey prompted for every single user regardless of frequency so that they can rate their individual checkout experience.