Solutions/Pricing & promotions
Price and promote without destroying margin
A 10% discount can move 30% more units — and still lose money. DataGlass models every voucher, bundle, add-on deal, and campaign-day price against contribution margin, so you ship promotions that grow profit.
01/Problem
What sellers see
A voucher campaign runs, GMV jumps, and the marketing channel feels alive. Then end-of-month margin is down. The lift came from products that were already low-margin.
02/Detection
What DataGlass detects
Every promotion is reconciled against per-SKU margin so you can see real impact, not just GMV uplift.
- Vouchers that destroyed margin per redemption
- Bundles whose attach SKU is dragging margin below break-even
- Add-on deals where the discount could be smaller without losing the customer
- Campaign-day price points where current margin sits below break-even
03/Action
Recommended actions
Decisions you make BEFORE publishing the next promotion — not after the GMV has already shipped.
- 01
Project bundle deal margin
See the contribution margin of each bundle composition before publishing — including the attach SKU mix.
- 02
Tune voucher thresholds
Find the minimum discount that lifts conversion without destroying margin, per SKU.
- 03
Plan campaign-day prices
Set 11.11, 12.12, Pay Day, or live-event pricing on margin headroom, not platform suggestions.
- 04
Stop margin-safe promotions from going wrong
Catch voucher / platform-discount stacking before it pushes a SKU below break-even.
04/Platforms
Available on these platforms
05/Glossary
Concepts in this solution
Backed by research
The DataGlass research that grounds the recommendations on this page.
Research report · May 2026
Decision Intelligence for E-commerce: How Retailers Optimise Pricing, Forecasting, Inventory, Promotions & Personalization
Pricing, forecasting, inventory, promotions, and personalization — a deep technical survey of the techniques large retailers use, the variants that matter, and how to deploy them.
Read paper
Working paper · May 2026
Prediction and Risk Optimization Under Uncertainty: A Cross-Domain Meta-Review of Methods in Finance, Operations, Causal Inference, and E-Commerce Decision Intelligence
A structured meta-review (213 primary works, 254 references) arguing that mature decision systems across finance, operations, insurance, energy, healthcare, causal inference, and e-commerce share four primitives — calibrated probabilistic models, coherent risk-aware objectives, explicit operational constraint sets, and principled exploration. Eleven worked cases ground the framework, with the DataGlass marketplace ad-budget system as the connecting tissue.
Read paper
04/FAQ
Frequently asked
Yes. Every voucher and flash sale is reconciled against per-SKU contribution margin so you see whether it lifted profit, just lifted GMV, or destroyed margin.
Yes. The bundle-margin projector models contribution margin of each bundle composition before you publish, including the attach-SKU mix and the platform fee impact.
Not yet. DataGlass surfaces the recommended promotion structure and you publish via the platform native flow. Auto-publish is on the roadmap.