NPS - Without the Survey

Nov 12, 2021

NPS is an essential indicator of your customers' loyalty, easy-to-understand and widely accepted across different industries. However, getting NPS survey responses is hard, let alone turning survey results into an actionable plan. Stylo introduces no-survey NPS. Familiar score, re-imagined for modern teams.

"I have 10,000 users but only got 300 10 months!"
—SVP of Customer Success & Support at pre-IPO startup

Realistically, NPS completion rate varies from 3% to 50%. And even with the highest rate possible, not all the responses you get are usable, as some customers tend to complete a numerical score and skip an open question.

The common time frame for relational NPS is quarterly or annual surveys. Send them too often, and you will annoy your customers. But with such an amount of data, it's almost impossible to understand what drives your customers' decisions and see the trend before it's too late.

After the survey campaign is over, it is time to categorize and analyze the data. Sometimes it takes a dedicated full-time effort focused only on going through the surveys, tagging and analyzing them.

What if your customers already told you what they think?
And all you need is just the right tool to uncover this message in unstructured data.

By analyzing customer interactions, like support tickets, recorded calls, and emails, Stylo can calculate NPS for every single customer with 100% completion rate.

We compared NPS collected via the traditional survey with the NPS generated by Stylo AI from customers' messages.



  • 4,000 surveys

  • 300 responses

  • 8% completion

  • 2 weeks of survey collection

  • Manual categorization


  • 0 surveys

  • Unlimited input from customers' messages

  • 100% completion

  • 5 minutes to setup

  • Automated categorization

Collecting data and calculating accurate scores is only the first step. Even with the key-drivers analysis, traditional NPS does not provide you with deep insights into the context. Stylo's scores are tied back to the actual customers' messages, so it is easy to find out how any given feature or even your team members' performance impacts your customers' experience.