Sales Data Driven Engines

Stop guessing your prices. Start proving them.

Pricemaster uses real sales data to test, optimise, and lock in the price your customers will actually pay.

Built for brands managing growing catalogues, margin pressure, and pricing decisions that cannot rely on direct market comparison.

Own-brand pricing engine visual
The Challenge

Most own-brand pricing falls into one of two traps.

01

No real benchmark

There is no obvious like-for-like competitor, so pricing decisions are often based on instinct rather than evidence.

02

Margin gets left behind

Many brands play it safe, keep prices too low, and never find out what customers are actually willing to pay.

03

Risky increases hurt sales

Big manual price jumps can reduce conversion without making it obvious where the limit really is.

How Sales Rules Work

Pricemaster turns pricing into a controlled learning process.

Instead of copying competitors, Sales Rules analyse how products sell, test small changes safely, and decide automatically whether a better price should stay or roll back.

Step 1

Establish a baseline

Measure current sales frequency, revenue, and margin before any test begins.

Step 2

Make a small change

Adjust price in controlled increments rather than risky jumps.

Step 3

Measure the response

Monitor sales consistency, revenue impact, and whether overall profit improves.

Step 4

Decide automatically

Keep the new price if demand holds up. Revert it if performance falls beyond the allowed range.

Sales Velocity

Every product is grouped by how quickly it sells.

This matters because fast-moving products can be tested with confidence much sooner, while slower products need a longer observation window.

High Demand

Fast movers

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Best for proven winners where demand is already resilient.

Eligible now
165 Fast
Balanced Demand

Average movers

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Useful for products with enough volume to test but less downside than top sellers.

Eligible now
179 Average
Lower Demand

Slow movers

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Good for cautious experimentation on slower movers and long-tail products.

Eligible now
210 Slow
Zero Sales

Non-movers

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Targets products with no qualifying sales in the current lookback window.

Eligible now
5673 Non_Mover
Rule Setup

Launch rules around sales velocity, then refine by segment.

Use the same segmentation power as Market Rules, but grouped by sales behaviour. Target products by brand, category, tag, dynamic tag, or velocity group, then launch a controlled testing rule.

  • Selected products matched automatically by your rule conditions
  • Set a price change step, such as 1%, and a test duration, such as 3 days
  • Enable Smart Step so fast movers start with a smaller first move while the rule learns
  • Capture settings when the rule starts for consistent automated testing
Safety Controls

Guardrails keep automation commercially safe.

Sales Rules are designed to improve pricing without putting performance at risk. Every rule can be bounded before it ever goes live.

  • Minimum Margin Guard protects products from falling into an unprofitable position
  • Global Price Limit caps the total change from the original price while the rule is active
  • Revenue Protection Mode rolls back a step if revenue falls beyond the allowed threshold in the observation window
  • Automatic rollback removes underperforming moves without manual intervention
The result is simple: testing stays active, but your downside stays controlled.

Why it works

Traditional pricing is static. Sales Rules make pricing continuous, measured, and data-led.

What it learns

Every test builds a better view of price sensitivity, customer demand, and true product value.

What you gain

Stronger margins, less manual effort, and a pricing engine that improves instead of standing still.

Ready To Stop Guessing?

Use sales data to find the price your products should really be selling at.

Sales Rules give own-brand operators a way to discover better price points, increase margins safely, and let automation handle the heavy lifting. Combined with Market Rules, Pricemaster gives you competitive positioning where benchmarks exist and profit optimisation where they do not.

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