Optimize your sales, focus on appropriate leads

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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.


What is lead scoring?

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.

How to have an efficient lead scoring?

You can focus on your data by analyzing your CRM, ERP, SRM or Website and create your own scoring. But the result can be ineffective and irrelevant in changing times.


For example, during this particular period, we can consider that there is a score before the pandemic and another one after. Your data will never be enough to constitute a good sample. What if you could add to your data set, your peers’ data and performance after COVID-19? It would certainly speed up your adaptation to new market conditions and help your business thrive.


Through a centralized platform, you have the opportunity to integrate your data from any source (CRM, ERP, SRM, website…) combined with external data, such as data from your peers, companies with similar characteristics and lead scoring needs.

Monitoring/Observing in real-time how leads are performing in your company as well as in other businesses can enrich your data set and help you contextualize and quickly adapt your business strategy to withstand the competition.

 

Ruben Rodrigues, Manager at Enlightenment.AI
Fabrice Blanc, Head of Group Strategic Alliances at OAKland Group

Oakland is a Swiss based company whose mission is to guide businesses through the complex challenges of data security, patrimony, valuation and capitalisation. 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.


EAI is a boutique Data Science and Artificial Intelligence consulting company.

If you’re interested in finding out more about our services and how they can transform your business, get in touch and we'd be happy to tell you more.

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Lead Scoring. Target relevant data

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