There is no one-size-fits-all approach to lead scoring : each company has to design its own matrix bas on its objectives and particularities. The problem is that if we don’t have concrete examples to base ourselves on, it is sometimes difficult to know where to start.
But don’t worry!
So that you don’t have to reinvent the wheel, I’ve compil 5 examples of lead scoring from different companies. Let’s take a look at them!
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In this video we explain what lead scoring is and how you can use it in your Inbound Marketing strategy to get more qualifi leads.
5 lead scoring examples explain
1) Lead scoring example: Lead Pilot
Lead Pilot is an inbound marketing tool for financial Europe Cell Phone Number List advisors that comes with its own built-in lead scoring solution.
The way it works is very simple: each lead is assign a score between 1 and 100 that changes in real time. The higher the score, the more qualifi the lead is.
lead-score
The algorithm takes into account the contact’s interactions with your content, actions, elaps time, and other factors. Lead Pilot uses an artificial intelligence program to design it, but users can also modify it by assigning a star rating to each lead.
For example, let’s say we have a financial products website and a user performs the following actions:
lead-scoring-model
Download an ebook and leave us your details: +5 points Perform a site search: +2 points Visit the pricing page on the website: +20 points
In this case, the lead would have a total score of 40 points.
2) Lead scoring example: Juan Merodio
The lead scoring matrix propos by Merodio on its website is bas on two different scores: the PAIN score and the FIT score.
The PAIN score measures the intensity of the problem that the client is facing and that our company Iceland Mobile Phone Numbers List solve (paint point). Here we assign a score from 0 (this issue is not a problem for him) to 10 (it is a very serious problem for him and he wants to solve it as soon as possible).
The FIT
Score measures to what extent a user fits with our buyer persona or ideal client. For example, if they have the financial and material resources to hire our solution and implement it effectively.
the lead score is obtain by adding both scores (PAIN and FIT).
Bas on the score obtain, we can classify the lead into different categories (cold, warm, hot…) or bas on whether it is qualifi for marketing ( MQL ) or sales (SQL).
