For a business to sustain in this competitive landscape, the sales and marketing teams must align with each other for ensuring better organizational growth in terms of efficiency, productivity and revenue. However, this is difficult said than done as the goals of sales and marketing teams are misaligned, which encourages them to prioritize their own goals over organizational profits. So, how to deal with this situation? The key lies in having a steady flow of qualified leads that the Sales team can close readily, and this can be made possible by having in place a robust lead scoring system for prioritization of leads.

How can Salesforce Einstein Powered Predictive Lead Scoring Turn the Tables for Your Business?

What is the Need for Lead Scoring? 

Though, the main priority for marketers is to generate constant flow of sales-ready leads, only a small percentage of the leads generated by the marketing team are considered closable. According to statistics gathered from recent industry research, around 40%-50% of all inbound sales leads aren’t followed up by the salespeople. And even if they do so, a lot of time had already passed by for leads to be converted to customers

Lead scoring, which is a key aspect of lead management helps marketers make the most of all the leads generated. By providing an objective way of sorting through all visitor interactions and ranking them basis their likelihood to buy the company’s products, lead scoring divulges details about the most sales-ready leads besides providing insight about how and which leads should be nurtured. By helping organizations rank their leads basis several behavioral and demographic factors, marketers can determine and focus on the most potential leads.  

Evolution of Lead Scoring Tools and Capabilities: 

Having information about which leads to follow up and which to ignore can be more of a speculation than science. Lead scoring provides sales and marketing experts a head start on the lead qualification process, which otherwise is time-consuming. Before the recent developments in technology, lead scoring was conducted manually and included making a detailed research on potential customers, recording their details on a database, and finally scoring them.  

Today, Marketers have access to tools and capabilities that can help them rank, manage and nurture leads, so that more leads carry a higher probability for positive sales results. Automated capabilities and processes provide powerful ways to handle lead scoring and nurturing to help get the most from every visit to the website.  

CRM assisted Lead Scoring: 

Since, the task of manual lead scoring was strenuous and time-consuming, CRM (customer relationship management) systems emerged as the savior by automating and simplifying processes. With a robust CRM in place, businesses were able to gather data regarding every single lead and scoring them basis the selected criteria. While integrating a robust CRM system like Salesforce improved the manual way of scoring leads, it still lacked the efficiency required to quickly score leads basis their quality with sales and marketing teams still spending a lot of time gathering details about leads.  

This paved way for another innovation i.e. marketing automation. While marketing automation is doing its bit by analyzing and processing a wide variety of data in an automated way, it doesn’t provide the efficacy to differentiate between visitors who are actually interested in making a purchase and those who are simply visiting the site without any intention of making a purchase. This has left space for a new player that offers a solution to all the lead scoring woes i.e. predictive lead scoring using artificial intelligence.  

Predictive Lead Scoring:  A Game Changer 

Powered by Machine learning and Artificial Intelligence, predictive lead scoring allows businesses to determine the criteria for defining a strong lead, creating models for lead scoring based on the specific needs of your company while adapting themselves in a changing market. The Einstein AI capability of Salesforce provides lead scoring an altogether new approach by streamlining a variety of tasks associated with it. Right from automatically collecting and analyzing CRM data for determining strong leads, creating finely tuned lead scoring models to gathering account insights, using Salesforce Einstein AI for lead scoring will augment the efficiency of sales and marketing teams by saving their time significantly. However, you must get in touch with a reliable Salesforce consulting company for any assistance regarding lead scoring including the creation of appropriate lead scoring formulae.  

The Bottom line: 

The value of figuring out sales-ready leads is inestimable. However, it isn’t easy to manually analyze humongous data to determine closable leads. A robust lead scoring system will help organizations to align their marketing and sales team while ensure better utilization of resources, improve rate of conversion, and condense sales cycle, which will ultimately translates to increased revenue. This will allow sales and marketing teams to close deals quickly while forge a strong relationship with their customers.

As a cloud-powered CRM, Salesforce has become preferred choice of businesses due to the wide array of features, functionalities and components offered by the platform. To make the most of this platform, it’s important to partner with a reliable and experienced Salesforce implementation partner.

About Author
Jaya Ghosh
Jaya is a content marketing professional with more than 10 years of experience into technical writing, creative content writing and digital content development. Her decade long experience lends her the ability to create content for multiple channels and across different technology verticals.
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