08/10/2023
🤔 Ever hear the saying, "Garbage in, garbage out?"
Basically, it means that bad input data leads to bad output data.
Customer exit surveys aren't immune to this phenomenon. While über effective at enabling businesses to listen to their customer base and learn why they churn, it’ll always be easy for customers to click the 1st or 2nd option of a multiple choice question.
Unfortunately, this can lead to skewed results…
Our favorite way to combat this?
𝘽𝙮 𝙞𝙣𝙩𝙧𝙤𝙙𝙪𝙘𝙞𝙣𝙜 𝙧𝙖𝙣𝙙𝙤𝙢𝙞𝙯𝙖𝙩𝙞𝙤𝙣.
In randomizing the order of the multiple choice options presented to customers, you’ll reduce bias and see an *immediate*improvement in the quality of your customer data.
This will enable you to:
→ save more customers at the point of cancellation
→ better segment your future winback campaigns
→ generate precise product insights at scale
Introduce randomization, and your customer exit surveys will paint an even clearer picture of your churn problem.
Garbage out, next-level business insights in.
P.S. We know of a retention platform that can automate this for you 😉