Rocket summary

Did you know that the most loyal customers to a brand can generate up to eight times more revenue than their personal purchases alone?

The more loyal a customer, the more they pitch your brand to others. These are your apostle consumers and they’re worth more than anything else. So, while these dedicated consumers will return time and again to buy your products, they’ll also spread the word about your company.

When a company is faced with impending failure, management often looks back to past decisions that produced previous successes. But as a rocket company, to go backward you first have to learn what your customers want now.

It’s crucial to constantly take stock of what your core customers need. If your business starts to slow down, it might be time to rethink your brand’s demand spaces, a category that helps you determine the unique needs of your customers and the different moments or spaces in which they occur.

Have you ever considered the sensory impression that consumers get when engaging with your brand?

Well, if the answer is anything remotely ugly or unappealing, it’s time to reconsider your brand’s aesthetics. After all, rocket companies know that brands need to appeal to every sense.

Your employees are the first people your customers interact with, so be sure to have only the best people on your team. Remember, every new hire is meaningful because new employees are the future of your brand.

In the same way that good wine doesn’t start with bad grapes, passionate employees need to come prepared with the right attitude on day one.

Did you know that 83 percent of Americans say they would rather give up fast food than go without internet access? It’s true, and it’s because the internet offers consumers instant gratification at the mere click of a mouse.

As a result, your brand needs to pay serious attention to its internet presence. The digital world has paved new avenues for understanding and connecting with its customers, and it’s imperative to take advantage of the rise of big data analysis.