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NPS Revenue Correlation: Impact of NPS on Revenue Expansion

On this episode of the ProfitWell Report, we look at the impact of Net Promoter Score on retention using data from two thousand companies and over ten thousand subscription consumers.

This episode might reference ProfitWell and ProfitWell Recur, which following the acquisition by Paddle is now Paddle Studios. Some information may be out of date.

Originally published: July 25th, 2018

Customer satisfaction isn’t everything, but it’s hard to imagine a successful business that doesn’t take customer sentiment into strong consideration. That being said, the cult following around customer satisfaction utilizing Net Promoter Score or NPS is admirable, but as we’ll see in the data, NPS is not infallible.

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NPS Doesn't Predict Retention Accurately 

As to not bury the lede, NPS, as an aggregate measure of customer satisfaction, is not a strong indicator of retention. I know that's going to be shocking to the NPS acolytes out there, but when we look at the data, you'll notice that those companies who have an NPS score in the lower quartile or in the midspread of their industry have essentially the same retention with mild acceptable variations here and there.

NPS Does Not Accurately Predict Retention

We broke out the striations of NPS across the spectrum and consistently the only indicator of any strong correlation in one direction or another is if your NPS was in the upper quartile of your industry. You then tended to have 5 to 10% higher retention on an absolute basis.

 

NPS And Churn Rarely Correlate

Note that this trend is also consistent when you look at gross churn rate, where upper quartile NPS companies have noticeably lower churn, but median and bad NPS companies are essentially the same.

NPS Doesn't Correlate to Churn

NPS Correlates With Expansion Revenue

Things get interesting though when looking at expansion revenue, where as a company has higher NPS there is a stronger correlation to having more expansion revenue with lower quartile NPS companies seeing a median of 9% monthly revenue coming from expansion, the midspread seeing 14% and the upper quartile 24%.

NPS Correlates With Expansion Revenue

So what does this mean for NPS?

Well, it means that in aggregate NPS is very much a reactionary metric that lacks enough sensitivity to be useful as a measure of momentum. If you have high NPS, it’s great, but there’s likely a lot of lurking variables that contribute to your retention that NPS is simply measuring. This also means that if you have above average NPS it doesn’t necessarily mean you’re better off than a company with bad NPS, which is unsettling for our industries obsession with such an insensitive metric. 

NPS is still useful, but likely only as a framework for identifying those customers on an individual basis who are raising their hands in frustration and as a blunt metric that when looked at in aggregate or on a segmented basis you want going up over time. Put another way, collect NPS, but your actual financial and retention metrics are an order of magnitude more important.

That's all for this week. Want to learn more? Check out our latest episode on MultiProduct vs. Single Product Strategies and subscribe to the show to get new episodes.

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You've got the questions,

and we have the data.

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This is the ProfitWell Report.

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Hey, Patrick.

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What's the relationship

between NPS and retention?

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Customer satisfaction

isn't everything,

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but it's hard to imagine

a successful business that

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doesn't take customer sentiment

into strong consideration.

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That being said, the cult following

around customer satisfaction utilizing

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Net Promoter Score

or NPS is admirable,

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but as we'll see in the

data, NPS is not infallible.

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To answer Chirag's question,

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we looked at the data from two

thousand companies and over ten

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thousand subscription consumers.

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As to not bury the lead,

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NPS as an aggregate measure

of customer satisfaction is not a

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strong indicator of retention.

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I know that's gonna be shocking

to some of the NPS acolytes out

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there, but when we

look at the data,

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you'll notice that those

companies who have an NPS score

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in the lower quartile or in the

mid spread of their industry

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have essentially the same retention

with mild variations here and there.

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We broke out the striations

of NPS across the spectrum and

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consistently the only indicator

of any strong correlation in

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one direction or another is

if your NPS was in the upper

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quartile of your industry.

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You then tended to have five

to ten percent higher retention on

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an absolute basis.

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Note that this trend is also

consistent when you look at

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gross churn rate where upper

quartile NPS companies have

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noticeably lower churn, but

median and bad NPS companies

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are essentially the same.

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Things get interesting though

when looking at expansion revenue.

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Whereas a company, if

you have higher NPS,

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there's a stronger correlation

to more expansion revenue where

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lower quartile NPS companies

are seeing a median of nine

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percent monthly expansion where

mid spread see fourteen percent

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and upper quartile

see twenty four.

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So what does this mean then?

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Well, it means

that in aggregate,

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NPS is very much a reactionary

metric that lacks enough

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sensitivity to be useful

as a measure of momentum.

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If you have high

NPS, it's great,

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but there's probably a lot

of lurking variables that

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contribute to your

high retention.

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This also means that if

you have above average NPS,

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it doesn't necessarily mean

that you're better off than

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those who have bad NPS

which is unsettling given our industry's

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obsession with such

an insensitive metric.

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NPS is still useful just

likely only as a framework for

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identifying those customers on an

an individual basis who are

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having problems and raising

their hands and frustration.

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And a blunt metric that when

used in aggregate or on a

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segmented basis really means

that you wanna be moving up

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into the right with

this metric over time.

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Put another way, collect NPS,

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but your actual financial and

retention metrics are an order

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of magnitude more important.

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Well, that's all for now.

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If you have a question,

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shoot me an email or video to

p c at profit well dot com.

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And let's also thank Shirod

from Datorama for sparking this

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research by clicking the link below to

share and give him a good shout out.

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We'll see you next

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week.

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This week's episode is

brought to you by Later.

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Visually plan and schedule

Instagram posts. Later dot com.