Illustrative case study · Private Equity
Customers who use the AI features would accept a bigger price rise.
A private equity investor weighing a tax compliance platform needed to know whether its new AI features had earned room for a bigger price rise at renewal. We interviewed 200 heads of tax who sign their software renewal and delivered the report in 16 days.
Illustrative example. The company, scenario, and all figures are fictional. They show UserCue’s method and deliverable format. They do not come from any client study.
The engagement
Illustrative scenariodays, with the report, the data file and a live readout.
Heads of tax who sign their company’s tax software renewal.
120 platform customers and 80 users of Peers A to C.
Renewal response at 2%, 4%, 6% and 8%, split by AI feature use.
A private equity investor
How much room the AI features give for a price rise at renewal
Pricing diligence, before close
AI-moderated interviews with a four-step price ladder
AI feature use, response to each increase, price fairness and peer scores
Mid-size and large companies in the US
Headline figures
of customers use at least one of the new AI features, and 65% know they exist
of AI users would renew without a vendor review, against 33% of other customers
of platform customers would open a vendor review at an 8% increase
The question
Have the new AI features earned a bigger price rise?
The platform had recently added two AI features: an assistant that reads tax notices and an automated review of returns before filing. The deal team wanted evidence from the people who sign the renewal, comparing customers who use the features with those who do not.
Who knows about the new AI features, and who uses them?
Which size of increase triggers a vendor review, for users and non-users?
How does today’s price compare with peers?
What we did
How the study ran, start to finish.
- 1Kickoff
A value plan built on price rises.
The deal team’s value plan rested on renewal price rises, and the platform had added two AI features. The study had to show who knows and uses them, which increase sends users and non-users to a vendor review and how today’s price compares with peers.
- 2Design
Users and peers, four price steps.
Only heads of tax who sign the renewal qualified: 120 platform customers and 80 users of Peers A to C. Each chose to renew, push back or open a vendor review at 2%, 4%, 6% and 8%, and satisfaction was scored as a control.
- 3Fielding
200 heads of tax, in their own words.
For a median 33 minutes by voice or text, quant and qual in one conversation, each AI user named the work the features took off their desk. The researcher read all 235 and removed 35 for contradictions or no renewal authority, leaving 200.
- 4Analysis
Feature use splits the base in two.
Crossing the ladder with AI feature use, in a logistic model that held satisfaction level, showed two groups with different break points. At an 8% increase, 72% of AI users would renew without a vendor review, against 33% of the rest.
- 5Readout
8% for AI users, onboarding for the rest.
In a live readout, the researcher took the deal team through a 28-page report and the full data file. The value plan now asks AI users for 8% at renewal and funds onboarding for the rest first.
What we found
Four findings from the report.
Most customers know the new AI features exist, and fewer than half use them. Those who use them tolerate a bigger rise: at an 8% increase, 72% would renew without a vendor review, against 33% of other customers, and the gap holds at equal satisfaction. Most customers call today’s price fair. The platform leads peers on filing accuracy and trails them on support response.
Most customers know the AI features, and fewer than half use them.
65% of customers know the new AI features exist, and 48% use at least one. The notice assistant leads at 43%, ahead of automated return review at 26%. Customers who know the features but have not tried them most often cite setup time.
Platform customers · n = 120A 4% rise passes, and 8% sends four in ten toward a review.
At a 2% increase, 91% of customers would renew without a vendor review, and 80% at 4%. That falls to 67% at 6% and 52% at 8%, where 40% would open a review and the rest would push back first.
Would renew without a vendor review · platform customers · n = 120At 8%, AI users are more than twice as likely to renew without a review.
At an 8% increase, 72% of the 57 AI users would renew without a vendor review, against 33% of the 63 who do not use the features. With satisfaction held level in a logistic model, AI use still roughly triples the odds of renewing at 8%.
Most call the price fair; filing accuracy leads peers and support trails.
60% of customers call the price fair for what it does, against 45% of peer users about their own vendor. Customers rate filing accuracy highest, 82% against 64% for peer users’ own vendors. Support response is the weak point, 43% against 65%.
Rated good or excellent · platform customers · n = 120“The notice assistant took the worst part of my month off my desk. I would pay more at renewal for that alone.”Head of tax · Illustrative quote
Illustrative quotes
Three themes behind the numbers.
“Every notice used to sit in someone’s inbox until they had time to read it. Now it is summarized and routed before I get in.”
“Eight percent for the same software we had last year goes straight to a vendor review. Show me what changed for us first.”
“I know the AI tools are in there. Nobody has shown us how to switch them on for our returns, so we carry on as before.”
What the investor did
Three moves made with the report.
Priced renewals by AI use.
The value plan sets an 8% increase at renewal for customers who use the AI features, 72% of whom would renew without a vendor review.
Funded onboarding for aware non-users.
The value plan funds a customer-success team to switch the notice assistant on for customers who know it but have not tried it, starting with mid-size companies, where use trails at 35%.
Set a support target ahead of the price rise.
Support response, rated good or excellent by 43% of customers against 65% for peer users’ own vendors, gets a response-time target before the first 8% renewal goes out.
Illustrative example. The company, scenario, and all figures are fictional. They show UserCue’s method and deliverable format. They do not come from any client study.
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