Such a table is faster and easier to edit than lead scoring in HubSpot itself. The key figures are also visible to the entire team and are therefore easier to share.
2. Calculate the contribution of each criterion to a conclusion
You can estimate the contribution or calculate it. This is how it works: Your analytics have told you how often individual criteria were met to make someone a customer. You convert the frequency of the criteria into a rating.
Tip: Make sure the interaction scores belgium number data are lower than the demographic scores. Just because someone has visited the blog a lot doesn’t necessarily mean they’re a good fit for your business.
A finished table could look very simplified like this:
Lead Scoring Table Example
In this example, 20 new customers were examined for criteria of good leads. In the “Number of customers” column, you can see how often each criterion applied to 20 customers. First, the contribution was converted into a percentage and then points were determined for scoring.
Setting up lead scoring in HubSpot
The setting itself is a bit hidden. First you need to go to the main settings > Properties > search for “HubSpot Score” > “Edit”. Then this window will open:
Lead Scoring HubSpot setting
You can then use “Add new set” to insert the hard-earned scores from the table.
Tip: Also add the “HubSpot Score” to the contacts’ timeline view so that it is clearly visible at a glance.
We use HubSpot Professional what is boost in telegram and why are they important and the first three criteria of the lead scoring shown in the table above look like this:
Lead Scoring HubSpot Positive and Negative Attributes Example
Working with the scoring
Scoring itself is not the goal, but a tool for lead qualification. Therefore, the last step is to use scoring for day-to-day lead qualification. After all, we want to find out in an efficient way which leads are worth starting sales activities with.
For example, you can create a list in HubSpot that dynamically stores all leads with a score of more than 30 and who have visited our b2c fax website at least once in the past 30 days. This list could look like this:
Lead Score 30 Example in HubSpot
Here again, the scale mentioned above (0 – 100 points) is important. This helps to create lists. These lists help to get a quick overview and also to see whether the settings are correct.
For example, your lists could look like this:
MQL list: 30 – 40 points
An additional list can also be created here with MQLs that have a particularly high priority (e.g. everything over 35 points)
SQL list: 60 – 70 points
Here, too, an additional list can be created with SQLs that have a particularly high priority (e.g. everything over 65 points)
‘Bad-Fit’ list: These leads do not need to be further processed by sales.
Important: If this list is too large, the scoring model should be refined again.
These lists are not only important for sales, but also for the marketing team: Based on these lists, the team can send appropriate emails, trigger workflows and also set up SMART content (in the form of rich text modules, CTAs or forms).