The Value Pricing Podcast cover image

The Value Pricing Podcast

Calculating a Pricing Formula Using Regression Analysis

Sep 30, 2022
34:25

You may have heard me say there is no magic formula for value pricing.

That’s true. There isn’t.

Value pricing is without a doubt the best way to price your services – but it takes time to implement, especially when you’re stuck up on using hourly rates. 

But, we CAN break it down into baby steps. 

And the first step towards value pricing is to give a fixed price up front.

Now for that… there IS a magic formula. 

It’s called Regression Analysis. 

It’s a way of using your current time-based pricing model to generate a fixed price upfront that will ensure you a profit every time.  

All you need is a spreadsheet.

Ready to get started?

The latest episode of the Value Pricing Podcast is now available: Calculating a Pricing Formula Using Regression Analysis 

In today’s episode you will learn: 

 

✅ Why value pricing is hard (but the best pricing method out there)

✅ How to systematically calculate a profitable fixed price every time

✅ How to systematically adjust your prices to cover scope 

✅ How to make the first step towards value pricing

 

Once you can confidently generate a fixed price up front, value pricing becomes FAR easier. Fixed pricing is not value pricing, but it’s the first step on the journey towards it. 

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode