Skip to content
Join the Dynamic Pricing Community, our exclusive community of over 250 retail pricing experts.
7Learnings forecasts incremental lift before a promotion launches, so every discount you run is an informed decision.
Plan smarter promotions and protect your margins.
7Learnings uses machine learning models trained on your transaction history, price elasticity data, seasonality signals, and competitor pricing to forecast the incremental impact of any promotion before it runs. You can simulate different discount depths, timing windows, and product scopes, and see the forecasted effect on revenue, margin, and inventory for each scenario.
Know the incremental lift of every promotion before you commit to the discount.
7Learnings models cross-product and cross-category effects so you can see cannibalization risk at the SKU level before the promotion runs. This allows you to design campaigns that grow the category rather than simply shift demand within it. See how this works in practice for retailers and ecommerce businesses.
Stop running promotions that cannibalize the margin you are trying to protect.
Most retailers default to round-number discounts of 10%, 20%, 30%, because they are easy to plan and easy to communicate. However, round numbers are rarely the right number.
7Learnings calculates the right discount depth per product, per channel, per promotion period. That means you stop over-discounting products that would sell at a shallower offer, and stop under-discounting the products where a deeper deal would drive genuine incremental volume.
Move from flat discounts to differentiated, product-level promotion depth.
End-of-season markdowns are the most expensive promotions retailers run, and they are almost always avoidable.
7Learnings forecasts how pricing and promotional decisions affect inventory levels across the full product lifecycle. By using targeted promotions earlier in the season at the right depth, for the right products.
Hit sell-through and profit targets with planned promotions.
Do you have questions? We have the answers.
7Learnings uses machine learning models trained on your transaction history, price elasticity data, seasonality, and competitor signals to simulate the impact of any promotion before it runs. You can compare discount depths, timing windows, and product scopes, and see forecasted revenue, margin, and inventory outcomes for each scenario.
Yes. Our models forecast cross-product and cross-category effects so you can see how a promotion on one product affects demand for related products before the campaign launches. This allows you to design promotions that grow the category rather than simply shifting sales within it.
Promotion planning and price optimization share the same forecasting engine in 7Learnings. Every promotional decision is made with full visibility into its impact on your pricing strategy, and vice versa. There are no silos between pricing and promotions.
Yes. Rather than applying flat discounts, 7Learnings calculates the optimal discount depth for each product based on its price elasticity, inventory position, competitive context, and your business goal. The result is fewer over-discounted products and more promotions that drive genuine incremental volume.
7Learnings connects promotion planning, pricing, and performance marketing in a unified engine. When planning a promotion, you see the full impact on ad spend efficiency and margin — not just the revenue side. Learn more about performance marketing optimization →
Most retailers see measurable improvements in promotion performance and margin within the first weeks of full deployment. Full integration and ROI typically arrive within 3 to 4 months, with as little as 2 to 4 weeks of IT effort. Calculate your expected profit uplift →
No. Our solution is designed for fast onboarding and requires minimal IT involvement. Our implementation team handles the setup so your pricing and promotions team can focus on results, not integration work.
See how predictive promotion planning can protect your margins and grow the sales that actually count. Book a demo with one of our pricing experts and explore the platform together.
Join 7Learnings CEO Felix Hoffmann as he explains how to build a pricing strategy for inflation & high-cost environments.
If you use a cookie banner blocker, please disable it to fix this popup. Thank you.
