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Serial Entrepreneur and Go BIG
Founder Wil Schroter's Blog!
The Truth About Pricing
Author: Wil Schroter
Tuesday, September 30, 2008
Any Entrepreneur that’s ever tried to bring a new product to market has had to deal with one frustrating fact – no one knows what to charge for it! No matter how well you think you can predict the market or how much research you’ve done, until people start paying for your product you’re still just guessing.

Even then, when people are actually forking over their hard earned cash for your product, you still don’t know if you’ve optimized for the best possible price to generate the greatest number of sales.

Fortunately there are some simple strategies you can employ to quickly arrive at a happy medium and give yourself a little piece of mind.

The Binary Nature of Pricing

The first pass you’ll want to take at pricing is to eliminate all of the people that weren’t going to pay you to begin with.

What may shock you is that when it comes to a consumer’s perception of pricing, it’s not always the actual amount that scares people; it’s whether or not they have to pay at all. Pricing is more or less binary for consumers – they are either going to pay or they won’t – the actual price is incidental.

Having launched ten companies myself, all in different industries ranging from automotive to financial services to television casting, I’ve found that in each case you get a group of consumers that are willing to pay just about any reasonable price for the product, and a group of consumers that won’t ever pay a penny.

There’s something that goes off in a customer’s head when they have to pull out their wallet. Up until that point the value you were providing may have gone relatively un-noticed. But when the customer has to break out their credit card and start typing in those 16 magical numbers, they think twice about the value of your product.

Instead of developing your pricing to lure the group of people that just aren’t willing to pay for your product, focus on maximizing the yield of the customer who will pay for your product. It’s a lot easier to get someone to pay 10% more for your product than it is to reduce the price of your product and get more people to pay for it.

The “Freemium” Model

Next you’ll want to figure out how to separate the paying customers from the non-paying customers, without alienating either.

Leave it to the overzealous Internet nerds like me to invent a word like “Freemium” to explain a basic price gateway model. Freemium is a word used to describe giving a portion of your product away for free in order to attract interest, then charging the most passionate customers for premium benefits.

I’m not entirely sure, but I think this model was pioneered by Baskin Robbins every time they handed me a free sample of chocolate ice cream in order to convince me to buy an entire cone. These days the freemium model appears when I want to sample a song on iTunes but have to pay to download the whole song onto my iPod.

The beauty of the freemium model is that allows you to test two pricing strategies simultaneously. You get to see how many customers would be interested in your product for nothing at all to gauge the overall interest in your product. It then allows you to learn exactly what about your product people are most interested in paying money for.

Try every Possible Price

Once you’ve separated the paying customers from the non-paying customers, you still need to settle on the right price to charge them. There’s one simple answer here: try every possible price.

I’ll give you an example. At Swapalease.com, a site that allows people who want to get out of a car lease to connect with people who wanted to get into a car lease, we charged people to post their car leases on-line. The problem was, we didn’t know how much to charge them, so we tried every possible price.

Our early estimates figured we would probably get around $24.95 per posting on the site. We constantly tried new pricing strategies to figure out what would be the right price that consumers would accept.

Wouldn’t you know that after six months of testing we found out the number was over $100 per post!

The only thing that kept us from simply making four times as much per sale was our willingness to test the sensitivity of price. Had we gone with our gut instincts we would have vastly undervalued the product and left a whole lot of money on the table.

It Pays to Try Everything

The only thing you can rely on when picking the price of your product is having to change it – a lot.

If you can develop a system to test as many possible price points with as many consumers as possible, you can hopefully uncover that hidden gem that is your perfect price. Until then, keep trying something new. It’s the only surefire way to win.





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Comments About this story
One question, 

How, exactly, did you "try everything"? Did you show different prices to different people? Or did you start at $25 and slowly move the price up? (and deal with the howls of complaints from users)

Serious question... 
Posted by: Dave P 9/30/2008 at 3:38 PM

I have the same question as Dave P. How did you test pricing without setting an anchor price in people's heads and then having them scream when you raised it?

Dave
Posted by: Dave Sifry 9/30/2008 at 10:39 PM

At Swapalease we tried different offer combinations on our payment page including price ranges, price/offer packages, and free trials.  Pretty much every price and feature combination you could think of.  The point was that we needed to actually put those offers out there in order to understand what the market was truly ready for.  When we ran surveys we basically got "we want to pay nothing".  If we had gone off that feedback alone, we would have had a completely unrealistic idea of what the true price points would be.  Instead we settled on $99 because we found that when an ACTUAL customer (not a survey responder) went to post their vehicle, that was the price point that had the highest take rate.

In regard to HOW we did it, we simply posted the pricing on the payment page.  Prior to the payment page you only had to list your year/make/model to start your listing.  We then tracked the number of people who went to the FIRST page (year/make/model) versus the number of people who went to the payment page (where the offer was presented) and got a sense for what offers had the highest conversion.

If you put in your year/make/model the idea is that you have interest.  So theoretically the same person interested in listing their vehicle for free and the one listing for $500 are going to click to the next page.  If we had presented price on the first page we would not have known whether users were bailing on the price or their intent.

Posted by: Wil Schroter 10/1/2008 at 11:59 AM

So you kept slowly raising the price over time?
Posted by: Paul Fisch 10/1/2008 at 5:05 PM

Wil,

I just read this article posted through Bizjournal. I was surprised that you didn't mention primary research as a tool to figure out prices. I now read in your blog that you seem to have used "surveys." As a market researcher, I'm curious to know what type of questions/methodology did you use to research prices. Simple purchase intent questions are usually not the best way to figure out what people want to pay, particularly in complex purchase decisions such as buying a car. Have you ever tried Conjoint Analysis/Adaptive Conjoint Analysis?

Trying every price over time is an ineffective and expensive way to figure things out, if you take into account the lost revenue by potentially underpricing during the test period. Besides, this can also be damaging from a brand positioning perspective. A well designed choice-based conjoint analysis, in which target consumers select combinations of product attributes at given prices (which you can vary on the spot) can give you the answers you need in a matter of weeks. This technique is commonly preferred for pricing research. For complex purchase decision, a new technique, Adaptive Choice-based Conjoint, has emerged as a more realistic way to mimic the  purchase decision process. Results from this type of research can be used to simulate "what-if" scenarios that allow you to predict preference shares, revenue and profit at different price points.

Posted by: Michaela Mora 10/15/2008 at 4:22 PM

Did they slowly raise the price over time? In books I have read they recommend that it's better to raise your price all at once vs gradual.
Posted by: Jen C 10/16/2008 at 6:01 PM

Hey this is really a good post to read. For sure market research is important for any product. And for price rising it is quite important to know the exact value of the products and it should be including all other factors like cost of production and more.
Posted by: Jeff Turner 10/21/2008 at 2:21 PM

I just read this article posted Thanks
Posted by: newbietrick 1/3/2009 at 5:53 PM



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