Enriching and qualifying a list of contacts

Learn how founders can use Rows to qualify a list of potential leads for a startup and make the most of business development and sales effort.


As a founder, especially in the earliest phases of your company, you - and nobody else - is the right guy to get out of the building and lay the groundwork for your business' presence externally.

You may embark on lots of outreach activity via LinkedIn, networking among other founders, and showcasing your product during events and fairs. In many of these cases, you might find yourself in the need of enriching and qualifying people whom you met, but whose contact details are not always available and consistent (e.g. you know the full name and the company, but not the email).

In this short guide, we will go through everything you need to enrich and qualify a list of contacts, starting from fragmented information.

Here’s a sneak peek of what you will get:

Screenshot 2022-12-06 at 17.05.09

Let's start!

To understand how we’re going to build it, let’s go step by step.

To start, you need to enable the Hunter or Clearbit integrations. Both providers offer a powerful service to check and verify companies' domains and people's emails, helping us fill in the blanks in our list of contacts. For this purpose, we will use Hunter as a verification provider.

Click on the Connect button and follow the instructions. The Auth page will open: enter your credentials and authorize Rows to retrieve your data.

Now you are ready to build your report. Click on the Create spreadsheet button at the top of your dashboard.

Once you land on your spreadsheet, first of all, rename it: click on its title in the top left corner and type the new name. Use it also as a title for the first page, by pasting it on the page title. It'll be easier to find it later on.

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Let's imagine you are back from the Websummit, where you met a lot of people interested in your product and you now want to follow up with them via email.

Use columns A, B, and C to input respectively the First Name, Last Name, and the company of the people you met, as follows

Screenshot 2022-12-06 at 16.27.43

Column D will host our FIND_DOMAIN() function that retrieves the company domain to build the email address. Select cell D2 and type the following function in the formula bar, using the company name in C2 as an argument:


Then drag the formula for the whole length of the list, as follows:

Screenshot 2022-12-06 at 16.28.49

Column E will finally enclose the email address. To get them to type 'find' in the formula bar and select FIND_EMAIL_HUNTER():

Screenshot 2022-12-06 at 16.29.45

This function uses the domain, first name, and last name as arguments to find the email. Here you should use respectively cells D2, A2 and B2, as follows:


Then drag down the formula to obtain:

Screenshot 2022-12-06 at 16.36.11

Column D is now populated with {data} cells that contain data about the contact you input. To display the email address, click on the cell and then on "Inspect Data". A panel will open on the right end side displaying data in JSON format, including the email address:

Screenshot 2022-12-06 at 16.38.19

Click on the COPY button and then paste the value in cell F2. The formula here uses our PARSE() function to read and extract specific data points from the JSON.

Screenshot 2022-12-06 at 16.42.51

In some cases, like the one above, some emails are 'catch-all' and thus not retrievable.

Finally, before starting the reach out you may be interested in assessing a score (out of 100) associated with any email, that is the likelihood that the email is the right one.

Go back to the {data} cell in D2, click on Inspect data and copy the path of the "score" data point.

Screenshot 2022-12-06 at 16.49.59

Then paste it in cell G2, as follows:

Screenshot 2022-12-06 at 16.52.21

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