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Your pricing was set based on competitive benchmarks or internal convention, not measured buyer behavior. Optimal Pricing Playbooks model price sensitivity by segment and product, surface where you are under-charging, and quantify the revenue impact of targeted adjustments.
$6.8M annual revenue uplift identified across 3 under-priced product configurations. Enterprise segment shows near-zero elasticity up to 12% price increase. Mid-market win rate drops only 2% per 5% price increase. SMB discount depth averages 23%, but only 8% is justified by competitive pressure.
The Challenge
Pricing is set by matching competitors or applying standard markups. Neither approach reflects your actual buyer sensitivity, leaving revenue on the table for under-priced products and demand on the table for over-priced ones.
Sales teams discount to close deals, but the cumulative margin impact is rarely measured by segment or product. Over time, discount patterns establish a lower effective price that never gets corrected.
The data to model price elasticity already exists in your transaction history, but nobody connects deal size, win rate, discount depth, and segment characteristics into a unified pricing model.
How eyko Solves It
An Optimal Pricing Playbook connects to your CRM, billing, and transaction data. It models price elasticity by segment and product, identifies where current prices diverge from revenue-maximizing points, and simulates the impact of proposed adjustments before you implement them.
The Playbook identifies a $6.8M annual revenue uplift opportunity across your product portfolio. Three product configurations are priced 14-22% below measured willingness-to-pay in their target segments. The enterprise segment shows near-zero price elasticity up to a 12% increase.
| Metric | Current | Benchmark | Status |
|---|---|---|---|
| Primary indicator | Flagged | Target | Action needed |
| Secondary indicator | Monitoring | Within range | On track |
| Trend direction | Declining | Stable | Review required |
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FAQ
Everything you need to know about Price Optimization Analysis.
Optimal Pricing is an AI-powered analysis that models price sensitivity across your customer segments and product portfolio to identify the revenue-maximizing price point for each combination. It uses historical transaction data, win/loss outcomes, discount patterns, and competitive context to calculate elasticity curves. The output is a set of pricing recommendations with projected revenue and volume impact for each adjustment.
The Playbook connects to your CRM (Salesforce, HubSpot, Dynamics 365), billing system, and transaction history. It requires deal-level data including quoted price, final price, discount applied, win/loss outcome, segment, product configuration, and contract terms. At least 6 months of closed-won and closed-lost deals are needed to build reliable elasticity models.
The Playbook builds segment-specific demand curves by correlating price points with win rates across your historical deal data. It controls for non-price variables like deal size, competitive presence, and sales cycle length to isolate the true price effect. Each segment receives its own elasticity coefficient, allowing you to see exactly how much volume you gain or lose per percentage point of price change.
Yes. The Playbook includes a scenario modeling capability that projects the revenue, volume, and margin impact of any proposed price change by segment. You can test multiple scenarios, such as a 10% enterprise increase combined with a 5% SMB decrease, and compare projected outcomes before committing to a pricing change. Simulation results include confidence intervals based on the underlying data density.
Join the enterprises replacing weeks of manual analysis with a single prompt. See what eyko Playbooks can do with your data.
