Sales Velocity Pricing: Why Speed of Sales Is the Wrong Signal for Your Price
Sales velocity pricing raises prices when products sell fast and cuts them when sales slow. Why that misreads demand, and what to measure instead: profit per visitor.
Short answer: sales velocity pricing raises a price when a product sells faster than usual and lowers it when sales slow. It is simple, but it misreads demand, because sales speed mostly reflects traffic, not how shoppers respond to price. A better signal is profit per visitor measured at several prices at the same time.
How Sales Velocity Pricing Works
The app sets a baseline for how many units a product sells per day. Selling above the baseline triggers a price increase. Selling below it triggers a cut. Everyone sees the same price at any moment, and the price follows the sales rate up and down.
Where It Goes Wrong
It reads traffic as demand
Say an ad campaign doubles traffic to a product. The share of visitors who buy stays at 3%, so shoppers are no more willing to pay than before, but units per day double. The rule raises the price anyway. When the campaign ends, sales fall below the baseline and the rule cuts the price below where it started. Nothing about your shoppers changed; only the traffic did.
It never sees the other price
With one price for everyone, you only ever observe what happened at that price. You never learn what the same shoppers would have done at a higher or lower one, so every adjustment is a guess.
It ignores cost
Selling faster is not the goal. A cheap price can sell quickly and earn less. A rule built on units per day has no idea what each unit is worth to you.
Stockouts and seasons confuse it
A stockout looks like a demand collapse. A seasonal peak looks like a trend. Each one pushes the price in the wrong direction unless someone steps in.
Why Competitor Tracking Is Not the Fix
The usual alternative is matching competitors. If you sell your own products, there often is no competitor price to match, and matching the lowest price is a race to the bottom. Your best price depends on your shoppers, not someone else's.
What to Measure Instead
Run several prices at the same time on the same live traffic. A busy week lifts every price equally, and so does a slow week, so the difference between prices is the shoppers' real response to price. Then compare prices on profit per visitor: the share who buy multiplied by the profit on each sale.
That is how Rylo works. It keeps up to five prices live inside the min and max you set, keeps the one with the highest profit per visitor against your original price, and moves to a new set when demand moves. Each shopper keeps the first price they saw through checkout.
Which Products Benefit Most
- Products with steady traffic, so each price gets enough visitors to compare
- Products with healthy margins and room to move in both directions
- Your own brand or unique products, where you have pricing power
Products that sell once a month or are locked by MAP agreements are poor fits. In Rylo, products without enough traffic simply stay at your price.