Use Intelligent Sales Data to Grow Sales

Share on facebook
Share on google
Share on twitter
Share on linkedin

In today’s world, data is a vital element of any successful sales team—but B2B businesses should be smart about the metrics they track. Keep in mind, the goal of collecting sales data is to grow sales. It’s easy to get carried away collecting too much information, which can overwhelm a sales team.

Overloading people with data can be just as useless as giving them none. Not only does it waste time, but it also shifts the focus to the data itself rather than what the data was supposed to enable—getting more business. 

It’s common for businesses to invest in collecting all the data they can, without a clear plan for harnessing that data to substantiate decisions. While claims of being “data-driven” may have increased in recent years, according to Gartner, the reality is that only 54% of marketing decisions are being driven by analytics. This means that a significant amount of valuable resources are currently being wasted on unnecessary data collection.

This problem is only accelerating during the era of COVID-19 as more of the sales process is conducted online. According to a study from McKinsey, today’s sales leaders consider digital channels to be twice as important as they once were. With more data generated by these online interactions, it may be tempting to collect more and more data.

On the other hand, the goal of intelligent sales data is to encourage a prospect to do business with a sales rep. To accomplish this, intelligent sales data focuses on collecting data that enables a sales rep to be more relevant and useful to a prospect. With the right amount of data from the right sources, companies can implement this strategy to grow sales.

Intelligent Sales Data in Practice

Today, sales can no longer be driven entirely by intuition and a vague sense of the customer’s needs. This might have worked in the past, but as nearly 90% of sales today are conducted online, data is more readily available than ever before. Businesses need to use this influx of data effectively to ensure that they reach the right buyers online.

Intelligent sales data focus on the target market and nothing else. To put this into practice, a successful data-driven sales team will track all prospect interactions to inform the sales process. With data on what works for their target market—in terms of where prospects originated, how sales reps reached out, what transpired, and why—sales teams can make better-informed decisions in the future.

Sales should only reach out to leads that fit certain criteria. By the time a new lead is sent to sales, it should have already accumulated a sufficient score as a result of significant marketing activity. It should also be the right kind of lead in terms of the role and persona. The role, level of activity, where the lead first originated, and how long it took to convert are all the pisces of information that lead into intelligent sales data. This is how intelligent sales data increases the effectiveness of the sales department—by targeting leads that are more likely to result in sales, the sales team can reduce the amount of time wasted on unproductive leads. 

Plus, as we have shown in the Four Quadrants Model of High Growth, existing customers have proven to be an excellent source of revenue. Intelligent sales data should incorporate patterns established by current customers, which helps drive revenues. 

With the right information from several tools—including marketing automation, sales automation, and accounting automation—intelligent data can transform the sales department and increase revenues. It is critica, however, to first determine what kind of information is needed, then build our systems to gather the necessary data, and then use reports and dashboards to inform what is working and what’s not.

SOMAmetrics is a revenue-focused marketing agency, delivering high-quality leads that close faster and at a higher rate. Our proven process identifies the best targets, defines the most compelling messaging, and runs highly targeted, digital campaigns—for about 35% of what it costs clients to do internally.

Let us know if you need any assistance in designing your intelligent sales data system.