Wouldn't it be great if every lead in your CRM was a perfect fit for your ideal customer profile? (Yeah, that's an impossible dream…)
But with lead scoring, you can monitor leads who aren't quite ready yet and reach out at the right time.
HubSpot's lead scoring field sounds fancy, but really it's a regular ol' calculation property. It will add or subtract points based on the attributes YOU define. In other words, you can assign positive point values to a contact based on good-fit attributes or behaviors. On the flip side, you can remove points based on bad-fit attributes or behaviors.
(Note: HubSpot does have "predictive lead scoring," but that's only available on Marketing Hub Enterprise aka the most expensive tier available. For this post, we're talking about the old-school manual way of scoring leads that's available in the more popular Pro-level tier.)
The best part about lead scoring? When a contact earns a certain number of points (again, as defined by you), you can use an automated workflow to notify a sales rep that they're ready for a conversation. That means you won't feel like you have to reach out to unqualified leads ASAP just because you'll forget about them later on…HubSpot will monitor their sales-readiness for you!
Think about what your current customers and opportunities have in common. If you're in marketing, talk to your sales and service team because they're on the front lines! Then start to group commonalities into these buckets:
It's just as important to recognize what makes a bad prospect and use these negative attributes to subtract lead scoring points:
The number of criteria you define is totally up to you. As are the point values you assign to each. There is no magic number (sorry!).
We've seen clients who have just a few criteria in their lead scoring formula and we've seen clients with over 100 attributes. (Though that must be hard to manage!)
We've seen clients who only assign scores in units of 10, but we've also seen others who use every possible whole number available. (No, decimals are not a thing.)
Whatever works for you is the right answer!