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Discount audit Analytics

Some of your discounts
bought nothing

Discount codes redeemed by customers who were going to buy anyway are pure margin transfer. This finds them in your own order export and puts a monthly dollar figure on each pattern.

Open the sample store

14-day trial · no card · No SQL required

Every Discount audit KPI, computed automatically

Upload your data once. ProfitFalcon's AI analyst engine computes the full discount audit metric suite, no formulas, no SQL, no analyst required.

  • Discount spend

    Σ discount amount across orders

  • Effective discount rate

    total discount / gross revenue

  • Margin after discount

    (revenue − COGS − discount) / revenue

  • Discount on repeat buyers

    discount spend on orders from customers with prior orders

  • Recoverable monthly margin

    discount spend on patterns with no lift in order rate

COMPUTED OUTPUT
Sample store
Net revenue · 180 days$5.20MΣ gross_amount − refunds · 24,623 orders
Gross margin53.8%(rev − cogs) / rev
Repeat order rate23.4%repeat orders / orders
Formula
Σ gross_amount over 24,623 orders = $5.20M
df["gross_amount"].sum()→ $5.20M
SOURCE cascade_orders.csvORDERS 24,623FROM YOUR EXPORT

Stop spending your week in Excel

ProfitFalcon handles the repetitive analysis so you can focus on decisions.

  • Codes get created for a campaign and never turned off
  • Repeat customers use a welcome discount meant for acquisition
  • Stacked promotions push some orders below cost without anyone noticing
  • No way to tell which discounts drove orders and which just cost margin

Ask ProfitFalcon anything

Just type, no SQL, no formulas. Ask ProfitFalcon anything about your store:

Three steps to discount audit insights

  1. Upload your data

    Upload your export: CSV, Excel or PDF, up to 250MB per file.

  2. AI does the analysis

    ProfitFalcon computes every relevant KPI, flags risks, and generates the charts.

  3. Get shareable insights

    Download PDFs, share dashboards, embed charts, set alerts. Built for execs and teams.

14 days free, then from $29/mo.

Growth $29/mo (1 store) · Scale $129/mo (3 stores) · Agency $249/mo (unlimited stores, Recommendations included). Recommendations on Growth or Scale: +$29/mo. Flat price. Annual = 2 months free.

  • Growth

    One store

    $29/mo

    • 1 store
    • Contribution margin + discount leak
    • Profit per SKU & order
    • Update with each export
    • Ask anything about your data

  • Scale

    Growing store

    $129/mo

    • Up to 3 stores
    • Everything in Growth
    • No order caps
    • Recommendation feed with measured outcomes
    • Per-SKU screener + stock forecast
    • Recommendations add-on, +$29/mo

  • Agency

    Operators running several brands

    $249/mo

    • Unlimited stores
    • Everything in Scale
    • Recommendations included
    • Client-profit view
    • White-label PDF export
    • Priority support

See full pricing →

Discount audit analytics. FAQ

Can it prove a discount caused an order?

No, and it won't claim to. Causal lift needs a holdout test. What it does is surface the patterns where discount spend went to demand that shows no associated change in order rate, quantify them, and label the figure as modeled from your export rather than guaranteed.

Is the recoverable figure a promise?

It's a projection, and it's labeled that way on screen. If you act on a recommendation, the outcome is later re-measured against your own newer export, and only outcomes measured that way count toward the product's track record. Figures you type in yourself are shown but never counted.

What columns does it need?

An order-level export with a discount column. Revenue and order id are required; customer id enables the repeat-buyer split, and cost data enables the below-cost check.

How much does it cost?

14-day free trial, no card. Then $29 / $129 / $249 a month, flat (Growth, Scale, Agency), whatever your order volume. Annual billing = 2 months free.