Company Information

Growth or revenue creation can be fueled by two mediums: selling to a new customer or selling to an existing customer. We’ve written about using data and analytics when prospecting and selling to new customers, but how does it translate when selling to existing customers? Now, it’s time to cover customer analysis so you can determine real upselling opportunities. 

Upselling to customers has traditionally had an unpalatable nuance to it. The sole objective has been to get the customer to buy more. I can’t help but think of that car salesman who’s aggressively overselling that four-door executive saloon, packaged in full options when your only need is to get from place a to b.

Knowing your customer in and out by way of effective customer analysis is what separates a pleasant buying experience from an unpleasant one. You’ll understand what your customers need and how to alleviate their challenges and pains with the right solutions.

Let’s get to it without further ado. 👇

Entering a new, unknown market is like being the new kid at a new school. The possibilities are endless when it comes to making new friends, or in the business world - finding new customers. Still, getting that first great connection can be more challenging than expected.

“Data-driven” is a popular term in the business world these days and it makes sense why: data is the helping hand that decision-makers have been needing. Data helps you troubleshoot your organization, understand your performance, and make better business decisions. It can’t come as too much of a surprise then that data is also of huge benefit for salespeople! By using the right data, salespeople will know whom to contact, when to contact them, and why to contact them. Knowing these things is part of what makes data an invaluable resource for the modern salesperson.

You’ve probably heard the term ‘data’ before. You’ve also probably heard that this thing called ‘data’ can help you make better and more informed decisions, as well as improving your performance. But have you ever been told what exactly business data actually is? Or what different types of business data are? Or how to implement its use? But, before we even get to that stage, have you ever been told where to find this data?

Even if your answers to any of these questions were no, then there’s no need to worry! These are all questions that this article will help you find an answer to so that you can become confident on the topic, more data-driven in your work, and see an improvement in your performance.

Nobody likes ads. And yet, we’ve never seen—and created— as many ads as we do today. If nothing else, the internet gave us the omnipresence of targeted ads.

Technology made it possible to create ads so personal and hyper-targeted that we tend to believe our devices listen to us at all times. The truth is algorithms know us better than we know ourselves. They’ve learned from the websites we visit, the articles we read, the people we follow, the products we purchase. All that data combined drives the ads we see in our social feeds every day.

In business-to-business, a similar experience is not that simple. For starters, in B2B there isn’t a single individual buyer. What a person reads, sees, or does in your website and social channels is only one piece of the puzzle. Behind every employee, there’s a company with its own challenges, needs, and decision-making processes.

Looking to sell in Europe? Find a company list and reach out, right? Well, not exactly.

Information has become our most valuable commodity. Skimming the top five results of a Google search makes us feel like an expert in any field, with enough knowledge to make an informed decision about our purchases, our health, the books we need to read, our whole life, or simply, our next dinner menu. Similarly, informed decisions drive the already long and sophisticated B2B sales process.

Sell. More. Faster. That’s the ultimate goal of any sales organization. In practice, this means round-the-clock pressure for salespeople to hit their quota, close more deals, and increase revenue. Salespeople are no strangers to stress.

But if stress starts to escalate out of control, and sales targets seem as challenging as climbing an eight-thousander without supplemental oxygen, you need to re-examine your sales process and figure out the stages you can tweak to boost productivity.

Customers come in all shapes and sizes. The type of company data you look at and the methods you use to make sense of it should depend on the nature of your business and your ideal customer profile.

When you're about to set up a framework for your data usage, you should first ask yourself about the resources you allocate to acquiring one single customer. Are your sales and marketing resources allocated to dozens, hundreds or thousands of customers or prospects? Depending on the answer, you'll need different types of company data and data analytics methods to improve your total sales.

In this article, we’ll dig deeper into types of company data and analytics. We'll also look at why company data is valuable for sales professionals and go into the details of how you can access comprehensive, real-time company data most effectively.

Whether it’s to monitor marketing or to keep track of customers, technology in B2B sales these days cannot be escaped. The technologies that companies use leave digital footprints, so-called technographics, that can help you as a salesperson understand their identity or future direction.

The decisions companies make regarding technology can reveal useful account insights on prospects’ intentions, their priorities and the way they want to run their operations. Using technographic data in sales prospecting refers to salespeople’s attempts to better understand their prospects by analyzing their technology stacks.