Five sales people on the team. All selling the same product. Ask them for the current price and you get five different answers.
None of them are wrong. Each has their own customers, their own conditions, their own experience. But there is no common anchor — no number the team can refer to when a new enquiry comes in.
That is exactly what the team average price is. And it is simpler than it sounds.
What the team average price is
The team average price is the mean of the actual selling prices your team has achieved — for a specific product, in a specific time period, in a specific quantity bracket.
Not list prices. Not planned values from the ERP. But what your team has actually achieved in the market. Calculated from real quotes and orders.
That sounds simple, but in practice hardly any team has this number to hand. The data exists — spread across quotes, invoices, emails, heads. But consolidated and current? Rarely.
Why experience alone is not enough
Experience in sales is irreplaceable. Anyone who has worked with the same customers and products for years develops a feel for prices that no system can deliver.
But experience has a blind spot: it is individual.
You know what you last quoted. But you don't know what your colleague quoted yesterday for the same product to a different customer. You don't know if the market has tightened in the last four weeks or if you're still using last quarter's prices.
In a small team of two or three people, you catch this through short channels — you ask each other. But as soon as the team grows, shifts overlap or someone is on holiday, this alignment is missing. And then what happens in most teams happens: same customer, same product, different prices.
That's not anyone's fault. It's a structural problem.
What the team average price changes
Imagine you open an enquiry in Outlook. Before you start calculating, you see: your team has sold this product over the last 30 days at an average of € 53.20, in the quantity bracket 50–100 units, based on 18 orders.
This number is not static. It updates with every quote and every order your team closes. When market prices rise, the average rises with them. When a colleague closes an order at a new price today, it flows into the context tomorrow. No manual effort, no maintaining lists — the data grows with your work.
You also see what you last offered this customer. And how the average price has developed compared to last month.
You still set the price yourself. No one dictates it. But you have a reference point — a number that comes from your team's real sales data. Not a directive, but context.
This changes three things:
First: you notice immediately when your price is significantly above or below the team. Perhaps there are good reasons — different conditions, different quantity, different customer. But you see it before the quote goes out. Not only in the quarterly report.
Second: new employees have a pricing foundation from day one. Instead of relying on experience for months, they see what the team actually achieves in the market. This shortens onboarding enormously.
Third: cover works. When you are on holiday and a colleague takes your enquiry, they do not quote blindly — they see the same data you would have seen.
What the team average price is not
It is not a directive. Not a minimum price, not a target price, not margin control. It replaces neither individual calculation nor price negotiation with the customer.
It is a mirror. It shows where the team stands. What you do with it is your decision.
Some sales managers wonder whether price transparency within the team creates problems — whether employees feel compared or whether customers find out. In practice, the opposite is true: teams that share their price data quote more consistently. Not because someone puts pressure on, but because shared context removes uncertainty.
How you get the team average price
The data is there. In your quotes, order confirmations, invoices. The problem was never the absence of data — but that it is scattered and nobody consolidates it.
At PipeGenius we calculate the team average price automatically from your sales data. Filtered by product, time period and quantity bracket. Visible directly in Outlook when you create a quote. Together with the customer history and the price trend.
This is part of what we call Price Intelligence: not an AI that tells you what to do. But your team's data — prepared, current, visible where you need it.