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This happens for most profiles , so we are used to handling these use cases.

For this reason we also use pattern finding techniques:

– name
– surname
– company website

2. Missing input data
The better the input data, the easier it will be to find the right pattern.

Let’s take the example of this user.

In this search there were many leads with missing websites and/or missing last names .

cleanshot 2022 08 26 at 083801 1nhur48

If the Evaboot file looks like this, the detection rate is probably low.

Before you launch Evaboot email discoverer on your list, make sure these elements are present:

Surnames
Corporate websites
If they aren’t, take the time to complete this phone number list information and then reload it into an email discovery program.

3. Your industry

Email finder does not perform well on non-digital sectors such as:

Health
Sport
Building
Personal open-source technology a security liability? services
sectors with a low email discovery rate
If you recognize your market in that list, then you bfb directory should focus on searching specialized databases instead of finding emails from Linkedin.

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