Here is our 6-step approach:
If you already have a list of companies, or you already have criteria for grading, you can choose only the steps you need. Here are each of them in more details specifically:
Here are few companies examples:
Therefore, we start with creation of list of potential companies. Based on the proposed demographics, we can build up a list of companies as a result. These list are usually generated from LinkedIn, Yellow Pages, Data.com and in addition other alike portals where we have premium accounts.
From here on, as the list comes from web generators, in most of the cases it needs to be cleaned. Under those circumstances, this step is vital to remove all the non-existing and non-relevant companies from the list avoiding additional effort in engaging them.
Consequently, the service envisions a person, manually going over each company and accordingly checks if the website still exists, if the company exists, and if exists whether it satisfies the initial pre-agreed criteria.
For instance, here are few examples of criteria:
In effect, once the criteria are being defined, we will manually go over each company and grade it based on the criteria.
In the final analysis, we start with finding Company’s decision maker and their e-mail address. Altogether, companies that scored above a predefined threshold in Step 5, will be in the final list of companies. For these companies we will find their decision maker and his personal e-mail address. In fact, we have several tools and control mechanisms for this, which guarantees only valid e-mails.
To demonstrate, the final output will be an Excel file that will contain the following columns:
|Grading||Company||Website||Name Surname||Position||E-mail address|
|98||Company XYZ||www.xyz.com||John Smith||CEOemail@example.com|
Also it can have any other additional column like person LinkedIn profile, or Company LinkedIn profile, or physical address, etc.