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A Cyber sale campaign, measured with no shortcuts.

You already saw the summary on the homepage: the report said +18%, the real net was +9.6%, and the grid we would have recommended reached +18.4%. Here's the full detail: how we measured it, and what we would have optimized.

Cyber sale · The measurement

Did your Cyber sale really go as well as the report says?

The Cyber sale report says +18%. But that number only looks at the promoted product's spike. We subtract what it costs — pull-forward and cannibalization — and leave the real number.

Standard report +18%Gross
Promotion counts it all as a gain

Counts the entire spike as incremental.

Revux measurement +9.6%Real net
Promotion incremental pull-forward

Real incremental, with pull-forward already deducted.

And what it took from other products

That promo didn't just sell: it took sales away from other SKUs in your portfolio. We detect that cannibalization and deduct it from the net.

Another product · cannibalized by the promo
Promotion cannibalization
+18% in the report. +9.6% for real.

That difference is margin you thought you had — and a standard report never showed it to you. Multiply it by every promo in the year.

// Illustrative figures, validated against real data in every deployment.

Cyber sale · The optimization

The same Cyber sale, played better.

That +9.6% net the Cyber sale actually delivered, against the grid we would have recommended for the same SKUs and budget.

As it ran · actual
+9.6%Net incremental
1.4xNet ROI
Mechanic2x1
Cannibalization−14.1%
With Revux · optimized 92% confidence
+18.4%Net incremental
2.8xNet ROI
MechanicDirect discount 15%
Cannibalization−7.2%
SKU price elasticity: −1.8

Calculated by our machine learning models over the SKU's history. Defines your optimal base price and how deep the promo should go.

+$23.9M

More margin with less promotional spend. A more efficient, better-targeted discount — and ROI nearly doubles.

// Illustrative figures, validated against real data in every deployment.

Want to see this with your own data?

We'll show you, on your last real campaign, how much margin was left on the table.