It is currently difficult to rely heavily on data protection perspective such as email openings or website visits, as this cannot always be tracked.
How can lead scoring with HubSpot really work?
First of all, you shouldn’t get lost in technical functions, but ask yourself what it’s all about when you get to the point.
What do you want to know? Actually, it’s about this:
- Is the company afghanistan phone number data interesting for us?
- Is the contact/lead interesting for us?
- Is the contact/lead currently interested and open to our offer?
That’s what it’s all about, right? So what do we need for that?
First of all, it’s important that in the B2B area data protection perspective you look at companies (accounts) and contacts (people) separately in relation to explicit factors. As a rule, a mix of automatically generated data with manual the path must be clearly defined. enrichment/evaluation/classification works best here. However, it’s usually difficult to really get all of this data together.
It is useful to know , for example, the following explicit data :
Pursue
- industry
- number of employees
- Sales volume
- Location
- if necessary, other data relevant to you
contact (person)
- title, first name, last name
- E-mail address (in B2B, an e-mail data protection perspective with company domain is essential!)
- persona
- Function in the company/job title
- role in the buying process
- phone
- if necessary, other data relevant to you
As mentioned above, you can try to request this betting email list explicit data (in multiple stages) via forms. However, this requires a lot of content or conversion data protection perspective options (“gated content”) and you only receive the data bit by bit and only when a contact converts multiple times. For this, the contact would have to download different content and fill out 3-4 (different) fields each time.
A new lead who has “only” requested a single white paper download so far is then probably only represented with simple contact details. However, this constellation is actually the norm.