Here is our 6-step approach:
If you already have a target list of companies, or you already have your criteria for grading, you can choose only the steps you need. Here are each of them in more detail specifically:
Here are few examples of companies:
We start with the creation of a list of potential companies. Based on the proposed demographics, we can build up a list of companies as a result. The lists are usually generated from LinkedIn, Yellow Pages, Data.com and in addition from other similar 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 cleansed. Under these circumstances, this step is vital to remove all the non-existing and non-relevant companies from the list avoiding additional effort in engaging with them.
Consequently, the service requires a person, manually going over each company and accordingly checks if the website still exists, if the company exists and whether it satisfies the initial pre-agreed criteria.
For instance, here are few examples of criteria:
In effect, once the criteria are defined, we will manually go over each company and grade it based on the pre-determined criteria.
In the final analysis, we start with finding company decision makers and their e-mail addresses. Altogether, companies that scored above a pre-defined threshold in Step 5, will be on the final list of companies. Furthermore, for these companies we will find their decision maker and his e-mail address. In fact, we have several tools and control mechanisms for this, which guarantees only valid e-mails are found.
As an example, the final output will be an Excel file which will contain the following columns:
|Grading||Company||Website||Name Surname||Position||E-mail address|
|98||Company XYZ||www.xyz.com||John Smith||CEOfirstname.lastname@example.org|
Also it can have other additional columns such as personal LinkedIn profile, company LinkedIn profile or trading address etc.