Inventory list prices, tiers, add-ons, discounts, and exceptions, then trace how they are used in real deals. Look for misaligned fences, confusing bundles, and invisible value that customers currently enjoy for free. Identify policy loopholes that quietly erode margin. This audit should end with a short list of experiments that eliminate leakage, simplify choices, and create confident paths to higher-value packages without surprising loyal customers.
Your billing and CRM data already hint at willingness to pay. Examine quantity breaks, discount depth versus win rate, and feature usage before and after renewals. Plot price versus volume across segments to detect elastic and inelastic pockets. In one case, bundling a lightly used feature with a mission-critical capability lifted adoption and justified a higher effective price. Let the signals shape decisions, not assumptions or anecdotes.
Profiles like company size and industry are helpful, but value segmentation goes deeper. Group customers by jobs they hire your product to do, the stakes of failure, and measurable outcomes achieved. Two companies with identical headcount may perceive dramatically different value because downtime costs one far more. Build segments that reflect these stakes, then tailor packaging, messaging, and price fences so each group sees a fair path to more value.