Lead Scoring Models Facilitating Sales Effectiveness

The business world  is so technologically oriented that today’s enterprises depend on this to understand consumer behavior, predict sales and  create sales and marketing campaigns. Further with the wide use of the internet and the World Wide Web, enterprises have also taken the global route with their footprints on the web. These developments in technology  has paved way for the enterprises to consider e-commerce  marketing as a major revenue generation method.

However to generate revenues it is first required to have an equally large customer base which is based on the leads generated. The pre-technology era saw the organizations setting apart funds from their exchequer for trade shows and other lead  generation techniques. Various marketing automation solutions available today act as catalysts for  the lead generation process.  The present day organizations with their web presence through e-commerce websites, social media campaigns , search engine optimization tools  and other  online lead generation activities like webinars  engage and attract leads to the website. Further to streamline the marketing processes and to make campaigns more effective enterprises make use of lead scoring models.

Lead scoring helps enterprises in prioritizing customers according to their sales closure potentials. In case of B2B marketing, each customer is assigned a score based on their company profile size and location, purchasing pattern, products and services researched upon social media sites and discussions forums participated in.


Lead scoring  in case of B2C marketing enables the enterprises to assign a quantitative value to website visits based on the individual’s  profile,  demographic information and website behavioral activities. The value assigned is determined by the marketing departments  on the basis of the profile  interested in.

This process also helps to sort the leads identify changes in behavioral patterns thus enabling the marketing enterprise to work on leads which ensures closure of sales. Lead scoring model is thus considered a primary  tool in the implementation process of marketing automation solutions. With accuracy in lead scoring being all about buyers, demographics and buyer behavior the leading service providers is dependent on  both explicit and implicit information.

The use of  right  lead scoring models will help enterprises to  prioritize leads, identify warm leads, increase sales chances and sales productivity. Data thus collected forms the part of  explicit and implicit scoring creating a matrix model. Further when these leads are qualified, prioritized and given scores facilitates the sales teams of an enterprise to focus on the leads with the highest scores  leading to dramatic improvement in sales effectiveness.

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