Discounting Governance in 90 Days: The Diagnostic Checklist

Most discount policy documents are written once and never read again. Your 90-day diagnostic is not about rewriting policy. It is about finding the gap between the policy you think you have and the discounting behavior that is actually happening in your deals.

The True Bill

A discount audit at a $35M annual recurring revenue (ARR) B2B SaaS company revealed that the company's formal 12% average discount rate was accurate as a mean but deeply misleading as a management metric. The median was 9%. The top quartile by deal size averaged 24%. Enterprise deals, which represented 31% of ARR, were being discounted at more than twice the rate of mid-market deals. The P&L showed this as a minor blended rate. The actual business showed it as a systematic practice of underpricing your largest contracts.

Over three years, this had transferred roughly $2.8M in annual value from the company to its ten largest customers. None of those customers knew they were getting an unusual deal. They just knew what they paid.

Execution

Step 1: The Data Pull (Days 1 to 30)

• Pull all closed-won deals for the last four quarters
• Record list price, each named deduction type, and final contracted value for each deal
• Calculate discount rate per deal, per AE, per deal size band, and per segment
• Identify any deals where discount rate exceeded your stated policy maximum without a documented exception
• Flag any deals where multiple discount types were stacked without a combined cap

Step 2: The Process Audit (Days 31 to 60)

• Interview five AEs and ask them to walk you through their last deal that required a discount
• Ask each: what triggered the discount request, who approved it, and how long approval took
• Review your CRM for deals where the approval date in the deal record post-dates the contract signature date
• Count how many exceptions in the last quarter were approved by the same person
• Identify whether your deal desk has written criteria for approval or operates on relationship judgment

Step 3: The Correlation Check (Days 61 to 90)

• Map discount depth against 12-month net revenue retention by cohort
• Compare win rates for deals where you held price versus deals where you discounted
• Calculate average time to close for discounted versus non-discounted deals in the same size band
• Look for the discount threshold above which churn rates meaningfully increase
• Build a one-page summary that shows leadership: this is what our discounting is actually buying us

Where It Unravels

A SaaS company in the legal tech space ran this diagnostic after three consecutive quarters of improving bookings but declining net revenue retention. The correlation check in step three revealed that every customer cohort with an initial discount above 17% had a 12-month net revenue retention (NRR) of 81%. Cohorts with initial discounts below 10% ran at 104% NRR. The company was using discounts to close deals with buyers whose long-term value profile was materially worse.

Their pipeline team was optimizing for close rate. The 90-day diagnostic showed they should have been optimizing for initial discount rate as a proxy for customer quality. Changing the incentive structure took one quarter. NRR improved to 94% across new cohorts within six months.

Move This Week

Assign one person to run step one of this diagnostic now. The data pull requires CRM access and approximately 8 hours of analysis time for a business with under 200 deals per quarter. Do not wait for a full project brief. The data already exists. You just need someone to pull it.

Assess Your Commercial Health to benchmark your discount governance against similar-stage companies.

Related: How to Measure the ROI of Discounting Governance | Before You Scale: Discounting Governance Architecture