Professional analyzing dynamic pricing scenarios on a dashboard

Dynamic Pricing

Price every product for maximum margin with AI

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

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Dynamic Pricing optimal price recommendation with conservative and aggressive range and intelligence score

Give leadership an optimal price they can defend — before you change the list.

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.

Conservative, optimal, and aggressive.

Every analysis returns a defensible price band — not a single number — so leadership can choose the move that matches risk appetite.

Scored on six pricing principles.

An intelligence score breaks down how the recommendation performs on value, cost, competition, elasticity, and more — auditable, not black-box.

Plain-language rationale.

Strategic notes explain why the optimal price wins — so approvers sign off on reasoning, not just a spreadsheet cell.

Profit and revenue optimization.

Dataset-driven elasticity and demand modeling finds the price that maximizes the outcome you care about — revenue, profit, or volume within guardrails.

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Dynamic Pricing competitive benchmark and revenue projection across candidate prices

Stay competitive without racing to the bottom.

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.

Benchmark against the market.

See where your recommended price sits relative to competitors before you publish — defend share without surrendering margin.

Revenue across candidate prices.

Project revenue and margin at each price point in the band so you know the trade-off before a single SKU changes.

Segment-level recommendations.

Segment elasticities surface where different customer groups respond to price — so national list price is not the only lever.

Simulate before you commit.

Review projected impact in the workspace, then apply only the prices your team approves — no surprise rollouts.

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Finance and leadership team reviewing pricing recommendations before rollout

Pick the right pricing method for the decision in front of you.

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.

Pricing strategies from your profile.

No dataset required — answer a short company profile and get strategy recommendations tailored to your business model.

Willingness to pay studies.

Van Westendorp and Gabor-Granger methods on survey data reveal acceptable price ranges and revenue-maximizing points for SaaS and packaged offers.

LTV-aware pricing.

Churn-aware lifetime value modeling connects price to retention — so short-term revenue gains do not erode long-term customer value.

Conjoint, experiments, and more.

Choice-based conjoint and MaxDiff quantify feature value; A/B and bandit price experiments validate moves before a full rollout.

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Recover margin across your catalog — one product at a time.

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.

Retail merchandising team reviewing pricing recommendations across a product catalog
Leadership team reviewing pricing impact before approving a rate change

Align finance, sales, and leadership on one pricing truth.

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

Everything you need to optimize prices, protect margin, and stay competitive

Profit & revenue optimization

Elasticity and demand modeling on your sales data — optimal price with projected impact.

Pricing strategies

Profile-based strategy recommendations when you need direction before a full dataset.

Willingness to pay

Van Westendorp and Gabor-Granger on survey data with packaging guidance.

LTV pricing

Churn-aware lifetime value so price decisions respect retention.

Segment elasticities

Different price sensitivity by customer segment — not one list price for everyone.

Conjoint & feature value

CBC and MaxDiff part-worth utilities and dollar WTP per feature for tier design.

Price experiments

A/B tests and multi-armed bandits to validate price moves on real traffic.

Explainable recommendations

Conservative, optimal, and aggressive bands with principle scores and rationale.

Price for profit — with recommendations your team can trust

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 plan
  • Profit optimization, WTP, LTV & conjoint
  • Explainable bands with revenue impact

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