Sales teams are wasting time, effort and money on leads with low probabilities of success. The big challenge is to identify the relevant leads where to put attention. Data science combined with a good and actual data set can help you better understand that and build effective sales strategies.
Your leads do not have the same probability of becoming a customer. At first, it depends on many aspects such as demographic characteristics, decision-maker background, industry trends, company digitalization level, economic peculiarities, business and sales strategy, etc. The second point is whether this lead is in a position, at this point in time, to subscribe to your service, solution or product.
Each of these characteristics is a result of the aggregation of many data from several sources. With these data points, you can identify patterns built with the data collected from your previous leads.
Lead scoring is a process of assigning values to rank the potential of your leads. It helps you prioritize each lead based on their level of interest and deal closing probability. Knowing people who are most interested in your products or services gives you the opportunity to focus on them in the first place, saving effort, time, and money.
Oakland is a Swiss-based company whose mission is to guide businesses through the complex challenges of data security, patrimony, valuation and capitalization. Our ultimate aim is for you to use data in a manner that respects the highest standards of data protection, whilst also driving value for your business. Oakland maintains a significant GDPR practice and this coupled with our proven expertise in data management has seen many companies adopt our services in different parts of the world.