Juan Merodio is a different type of lead scoring system than the ones we have seen before. In fact, it uses a matrix to determine the score of each potential client. In the matrix you will find two different types of scores:
The PAIN score – this represents how intense or large the problem is that the customer is facing. This is also known as the pain point. If a customer has only a mild problem that is not urgent, they will be given a low score, closer to 1. If the problem needs an immediate solution, they will get a higher score, closer to 10.
The FIT score – This score represents how close canada phone number customer feels or is to your business, based on the value and buyer persona you have created.
When these scores are plotted on a matrix, you can see whether a prospect is ready for the sale or not so interested.
Business2Community
Business2Community has a unique lead scoring system that is easy to use and designed for B2B companies. This system is based on a simple matrix. When plotting each lead on the matrix, you will only need to ask four questions (job title, department, company type, and company size). It compares the answers to your customer’s persona and based on the answers obtained, it will assign one of four scores to the lead. These include:
Best response received: 4 points
2nd best answer: 3 points
3rd best answer: 4 points
Negative response: negative points
You can then add up the answers to each question and get your overall score.
When trying to determine the right lead scoring, there are a few steps every business should take. First, you’ll need to examine your sales funnel. Then, you’ll need to design a custom lead scoring system and improve collaboration between your marketing and sales departments.
However, once all of this is done and working properly, you need to move on to predictive lead scoring. This type of system is powered by Artificial Intelligence (AI) and allows you to speed up and optimize the sales process . Predictive lead scoring aims to predict when a customer will conclude a purchase and whether they are a good fit for your brand from the initial steps.
You might already be doing all of this manually! If your marketing team is using historical data and customer personas to determine who they should put more effort into, they’re also predicting your lead scores. However, once you’ve started receiving a larger number of leads, AI can help you automate all of this and give you more accurate results.