
Dynamic Pricing
Analyze demand, costs, and competitor pricing to recommend the optimal price for each product — and quantify the revenue and margin impact before you commit.
Free forever · No credit card required · Paid plans from $23.99/month

Connect sales history, costs, and competitor signals first — then Dynamic Pricing returns conservative, optimal, and aggressive bands scored on six pricing principles, with plain-language rationale and projected profit and revenue impact.
Every analysis returns a defensible price band — not a single number — so leadership can choose the move that matches risk appetite.
An intelligence score breaks down how the recommendation performs on value, cost, competition, elasticity, and more — auditable, not black-box.
Strategic notes explain why the optimal price wins — so approvers sign off on reasoning, not just a spreadsheet cell.
Dataset-driven elasticity and demand modeling finds the price that maximizes the outcome you care about — revenue, profit, or volume within guardrails.

Matching competitors blindly trades away margin. Benchmark your recommendation, project revenue across candidate prices, and act on segment-level elasticities so you defend share profitably.
See where your recommended price sits relative to competitors before you publish — defend share without surrendering margin.
Project revenue and margin at each price point in the band so you know the trade-off before a single SKU changes.
Segment elasticities surface where different customer groups respond to price — so national list price is not the only lever.
Review projected impact in the workspace, then apply only the prices your team approves — no surprise rollouts.

Not every pricing question needs the same analysis. From profile-based strategies to Van Westendorp surveys, conjoint studies, and live price experiments — run the study that matches how you sell.
No dataset required — answer a short company profile and get strategy recommendations tailored to your business model.
Van Westendorp and Gabor-Granger methods on survey data reveal acceptable price ranges and revenue-maximizing points for SaaS and packaged offers.
Churn-aware lifetime value modeling connects price to retention — so short-term revenue gains do not erode long-term customer value.
Choice-based conjoint and MaxDiff quantify feature value; A/B and bandit price experiments validate moves before a full rollout.
Find SKUs that are underpriced or over-discounted, model the impact of a correction, and roll out changes your team has already simulated — whether you manage dozens of products or thousands.


When everyone sees the same optimal price, competitive context, and projected impact, approvals move faster and fewer margin leaks slip through in negotiation.
Full dynamic pricing toolkit
Elasticity and demand modeling on your sales data — optimal price with projected impact.
Profile-based strategy recommendations when you need direction before a full dataset.
Different price sensitivity by customer segment — not one list price for everyone.
Connect your data, model demand and elasticity, and review conservative, optimal, and aggressive prices with full rationale before anything goes live. Free to start — no credit card required.
Free forever · No credit card required
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