Illustrative case study · Private Equity
Customers who use the AI features would accept a bigger price rise.
A value plan built on renewal increases rested on one question: had a tax compliance platform’s new AI features earned room for a price rise? For the private equity investor weighing the platform, we interviewed 200 heads of tax. Delivered 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.
Four renewal increases, 2% to 8%, read 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 awareness and use, price tolerance, price perception, 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 all customers would open a vendor review at an 8% increase
The question
Have the new AI features earned a bigger price rise?
Two new AI features came with the platform: an assistant that reads tax notices and an automated review of returns before filing. The deal team needed 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
The renewal question.
Have the new AI features earned this platform room for a bigger price rise? The kickoff turned it into three questions: who knows and uses the features, which increase triggers a vendor review for users and non-users, and how today’s price compares with peers.
- 2Design
Users and peers, four price steps.
Heads of tax who sign the renewal qualified: 120 platform customers and 80 users of Peers A to C. A 2% to 8% price ladder offered renew, push back or vendor review, and a satisfaction score let the AI split be read like for like.
- 3Fielding
200 heads of tax, in their own words.
In median 33-minute interviews by voice or text, quant and qual in one conversation, AI users named the task the features took off their desk. The researcher read all 235 and removed 35 who contradicted themselves on their edition or lacked renewal authority, leaving 200.
- 4Analysis
Pricing power sits with AI users.
The researcher crossed the price ladder with AI feature use, holding satisfaction level, and found 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
AI users hold at an 8% increase.
The researcher presented a 28-page report on the price ladder, peer scorecard and AI use in a live readout, with the full data file. The value plan stages the increase: 8% at renewal for AI users, and an adoption push before the rest renew.
What we found
Four findings from the report.
Most customers know the new AI features exist, and fewer than half use them. AI users price the platform differently: at an 8% renewal increase, they are more than twice as likely as other customers to renew without a vendor review, and the gap holds at equal satisfaction. Most customers call today’s price fair, and the platform leads peers on filing accuracy.
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 = 120AI use, more than satisfaction, predicts who renews through 8%.
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, and filing accuracy leads peers.
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 argue for a bigger renewal on 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 prices renewals by use: 8% for customers on the AI features, and an adoption push for the rest before their renewal comes up.
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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