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This way you will have a report that will determine the probability that your open contacts will close as customers within 90 days. But not only will it analyze them: the algorithm will also segment the contacts.
In your HubSpot account, click the Settings icon in the main navigation bar.
In the left sidebar menu, go to CRM > Properties .
Search or browse, in the “ Contact Information” section for “ Likelihood to close ” and “ Contact priority ” :
Likelihood to close: This is a score that represents, in percentages, what are the probabilities of closing a contact as a customer within the next 90 days based on the properties and behavior of the standard japan telephone number data contact. For example, contacts with a Likelihood to Close value of 22 have a 22% probability of closing as a customer in the next 90 days.
Contact priority : Contact categories based on Likelihood to close score , which can be used as CRM filters to segment the best and/or worst leads.
The Very High, High, Medium , and Low categories will each contain 25% of your contacts based on their likelihood to close score, with the Very High category applying to the top 25% of scores.
The Closed won category applies to contacts who have already converted, who have therefore “hit the mark” by becoming customers.
The range of scores in each category can change over time based on user behavior. If you have a newly opened HubSpot account, the estimates may not be completely accurate due to a lack of data. As the algorithm learns more about your contacts and customers, the estimates will become more and more refined.
Note: You need at least 100 contacts in your HubSpot account to see values for the “ Contact priority ” property . To set values for these properties, HubSpot analyzes:
Analytics information (e.g., web page visits, time of last visit, email interactions including clicks, opens and replies, and form fills).
Firmographic information provided by HubSpot Insights about company contacts.
Firmographic information about your business and your HubSpot account.
Interactions logged in your HubSpot CRM (e.g., tracked email clicks, booked meetings, etc.).
HubSpot uses the latest predictive machine learning algorithms known as “ black boxes ” to provide accurate predictions. With black boxes, data scientists analyze the model’s inputs and outputs, but it’s not known how the input is transformed into the output. These models have been shown to outperform white box models, but it’s not possible to determine how each individual input contributes to a contact’s score. Instead, the focus is on the model’s overall predictive performance. To learn how to use lead scoring to help you focus your efforts in the right direction, check out the HubSpot Academy lesson on Understanding HubSpot Lead Scoring .
