Setting the right price is a pretty difficult task. All you can do is just set a random price. You can guess, or follow your greed and fall off the business.
Here is a good example:
In 2011, Netflix implemented a 60% price increase. As a result, 800,000 users cancelled their service. It was painful.
Nobody wants to repeat this mistake. But, who is insured against such errors? All you have to do is guess and take a risk like a real beast. Right?
Wrong.
You can avoid these errors. Here is how. You need to perform a price A/B testing on a small group of your audience. After that, knowing for sure what will happen after you change your pricing, you can announce a new price to your entire audience. The other pitfall here is that, without price A/B testing, you will never know whether your current price brings you the biggest revenue or not.
Here is an example:
Brian Harris from Videofruit planned to sell his product for $97, but decided to A/B test his pricing before the public launch. Here is how:
He continued to increase his price until he found which figure generated the greatest revenue. He ended up with the price: $1200, which is more than 12 times higher than his initial guess.
I love this story.