<p>If you’ve got a long list of email addresses, manually sorting out business from personal emails can feel like finding a needle in a haystack.</p>
<p>But here’s the good news: Datablist’s <a href="/enrichments/free-email-validator-bulk">Free Email Validator</a> can do this for you in bulk, with just a few clicks.</p>
<p><strong>It’s a simple, fast way to identify whether an email is linked to a business domain or a personal email provider. For free!</strong></p>
<p>We’ve all seen personal email addresses like <code>john.doe@gmail.com</code> or <code>sarah@yahoo.com</code>. These are free, generic email providers, and people use them for everyday communication. Business emails, on the other hand, usually have a custom domain like <code>info@companyname.com</code> or <code>jane@startup.com</code>.</p>
<p>If you’re sending marketing campaigns or segmenting contacts, this distinction can help you tailor your approach. For example, business emails may require a more formal message than personal ones.</p>
<h2 id="user-content-how-to-identify-business-email-addresses-from-personal-ones-from-a-csv-file"><a href="#how-to-identify-business-email-addresses-from-personal-ones-from-a-csv-file" aria-hidden="true" tabindex="-1"><span></span></a>How to identify business email addresses from personal ones from a CSV file</h2>
<h3 id="user-content-step-1-import-your-email-list"><a href="#step-1-import-your-email-list" aria-hidden="true" tabindex="-1"><span></span></a>Step 1: Import Your Email List</h3>
<p>First, you’ll need to upload your email addresses to Datablist. You can either upload a CSV file or copy and paste the email list directly from a spreadsheet.</p>
<blockquote>
<p><strong>Note:</strong> The "Free Email Validator" enrichment is <strong>free</strong> and unlimited. You just need to create a free account.</p>
</blockquote>
<p>Create a new collection in Datablist, click on the "+" button, and select "Import CSV/Excel". <a href="/csv-editor">Datablist opens CSV files</a> and Excel files.</p>
<p><img src="/learn_images/marketing/business-or-personal/create-collection-cleaned.png#2598x1177" alt="Import Email List"></p>
<h3 id="user-content-step-2-run-the-free-email-validator-enrichment"><a href="#step-2-run-the-free-email-validator-enrichment" aria-hidden="true" tabindex="-1"><span></span></a>Step 2: Run the Free Email Validator Enrichment</h3>
<p>Once your email list is uploaded, use the "Free Email Validator"(/enrichments/free-email-validator-bulk) to know if each email address belongs to a personal email provider or a business domain.</p>
<p>Click on the "Enrich" button in the header.</p>
<p><img src="/learn_images/marketing/business-or-personal/enrich-free-email-validation.png#2627x1236" alt="Click Enrich"></p>
<p>Then select "<a href="/enrichments/free-email-validator-bulk">Free Email Validator</a>".</p>
<p><img src="/learn_images/marketing/business-or-personal/enrichment-free-email-validation.png#2235x1304" alt="Select Free Email Validator"></p>
<p>Choose the property containing the email addresses from your collection.</p>
<p><img src="/learn_images/marketing/business-or-personal/map-properties.png#2185x1339" alt="Map your email property"></p>
<p>Configure the output options to store the results. This will include whether the email is valid and the "Business Email" boolean information.</p>
<p><img src="/learn_images/marketing/business-or-personal/business-boolean-outputs.png#2877x1326" alt="Configure outputs"></p>
<h3 id="user-content-step-3-review-the-results"><a href="#step-3-review-the-results" aria-hidden="true" tabindex="-1"><span></span></a>Step 3: Review the Results</h3>
<p>Datablist processes the email list and returns the following:</p>
<ul>
<li><strong>Valid Email</strong> - Confirms whether the email address is valid based on its syntax and MX records.</li>
<li><strong>Error Status</strong> - The reason why the email address is invalid. Empty if valid.</li>
<li><strong>Business Email</strong> - Return True if the domain is not from a generic email provider (gmail, yahoo, etc.)</li>
</ul>
<h2 id="user-content-examples-of-business-email-analysis"><a href="#examples-of-business-email-analysis" aria-hidden="true" tabindex="-1"><span></span></a>Examples of Business Email analysis</h2>
<p>Here are some examples:</p>
<ul>
<li>john.doe@gmail.com will be tagged as a personal email</li>
<li>info@companyname.com will be marked as a business email</li>
<li>random@disposable.com will be marked as invalid with an error message in the Error Status. The <code>Business Email</code> property will be marked as <code>False</code>.</li>
</ul>
<h2 id="user-content-faq"><a href="#faq" aria-hidden="true" tabindex="-1"><span></span></a>FAQ</h2>
<h3 id="user-content-why-should-you-care-about-checking-if-an-email-belongs-to-a-company"><a href="#why-should-you-care-about-checking-if-an-email-belongs-to-a-company" aria-hidden="true" tabindex="-1"><span></span></a>Why should you care about checking if an email belongs to a company?</h3>
<p>Understanding whether an email is personal or business can help you target your messages more effectively. For example, a personalized approach might be better for personal email users, while business addresses may require a more formal tone.</p>
<h3 id="user-content-is-datablists-free-email-validator-really-free"><a href="#is-datablists-free-email-validator-really-free" aria-hidden="true" tabindex="-1"><span></span></a>Is Datablist’s Free Email Validator really free?</h3>
<p>Yes! The Free Email Validator is available to all Datablist users without any cost. You can upload as many email addresses as you need and run the validator as often as necessary.</p>
<h3 id="user-content-how-does-datablist-determine-if-an-email-is-personal-or-business"><a href="#how-does-datablist-determine-if-an-email-is-personal-or-business" aria-hidden="true" tabindex="-1"><span></span></a>How does Datablist determine if an email is personal or business?</h3>
<p>Datablist uses MX records to check the email’s provider. MX records reveal the mail servers associated with the email domain, which allows Datablist to identify whether the email is handled by a personal provider (like Gmail or Yahoo) or a custom domain typically used for business purposes.</p>
<h3 id="user-content-can-i-use-datablist-for-large-email-lists"><a href="#can-i-use-datablist-for-large-email-lists" aria-hidden="true" tabindex="-1"><span></span></a>Can I use Datablist for large email lists?</h3>
<p>Absolutely! Datablist is designed for bulk processing. Whether you have a few dozen or thousands of email addresses in a <a href="/csv-editor">CSV file</a>, Datablist can handle the list efficiently, providing results quickly.</p>
<h3 id="user-content-what-other-information-does-the-free-email-validator-provide"><a href="#what-other-information-does-the-free-email-validator-provide" aria-hidden="true" tabindex="-1"><span></span></a>What other information does the Free Email Validator provide?</h3>
<p>In addition to identifying whether an email is personal or business, the validator checks for the email’s validity. This includes flagging invalid addresses and identifying disposable or temporary email services.</p>
<h3 id="user-content-what-file-formats-can-i-upload-for-validation"><a href="#what-file-formats-can-i-upload-for-validation" aria-hidden="true" tabindex="-1"><span></span></a>What file formats can I upload for validation?</h3>
<p>You can upload email lists in CSV or Excel format. Just drag and drop your file into Datablist, and the platform will automatically process the data.</p>
<h3 id="user-content-can-datablist-help-me-remove-fake-or-temporary-emails"><a href="#can-datablist-help-me-remove-fake-or-temporary-emails" aria-hidden="true" tabindex="-1"><span></span></a>Can Datablist help me remove fake or temporary emails?</h3>
<p>Yes! Datablist’s <a href="/enrichments/free-email-validator-bulk">Free Email Validator</a> flags emails from disposable services like @mailinator.com or @10minutemail.com. This helps you clean up your list and avoid contacting temporary or fake addresses.</p>
<h3 id="user-content-how-long-does-it-take-to-validate-a-large-list-of-emails"><a href="#how-long-does-it-take-to-validate-a-large-list-of-emails" aria-hidden="true" tabindex="-1"><span></span></a>How long does it take to validate a large list of emails?</h3>
<p>Processing time depends on the size of your list, but Datablist is optimized for fast, bulk validation. For most lists, you’ll have results within minutes.</p>



If you’ve got a long list of email addresses, manually sorting out business from personal emails can feel like finding a needle in a haystack. 

But here’s the good news: Datablist’s [Free Email Validator](/enrichments/free-email-validator-bulk) can do this for you in bulk, with just a few clicks.

**It’s a simple, fast way to identify whether an email is linked to a business domain or a personal email provider. For free!**

We’ve all seen personal email addresses like `john.doe@gmail.com` or `sarah@yahoo.com`. These are free, generic email providers, and people use them for everyday communication. Business emails, on the other hand, usually have a custom domain like `info@companyname.com` or `jane@startup.com`.

If you’re sending marketing campaigns or segmenting contacts, this distinction can help you tailor your approach. For example, business emails may require a more formal message than personal ones.

## How to identify business email addresses from personal ones from a CSV file

### Step 1: Import Your Email List

First, you’ll need to upload your email addresses to Datablist. You can either upload a CSV file or copy and paste the email list directly from a spreadsheet.

> **Note:** The "Free Email Validator" enrichment is **free** and unlimited. You just need to create a free account.

<aside class="text-center mb-5">
    <div class="mb-2">
        <a href="https://app.datablist.com/" className="btn btn-primary btn-large" target="_blank">
            Open Datablist
        </a>
    </div>
    <span class="orange-text">You need a free Datablist account</span>
</aside>

Create a new collection in Datablist, click on the "+" button, and select "Import CSV/Excel". [Datablist opens CSV files](/csv-editor) and Excel files.

![Import Email List](/learn_images/marketing/business-or-personal/create-collection-cleaned.png#2598x1177)


### Step 2: Run the Free Email Validator Enrichment

Once your email list is uploaded, use the "Free Email Validator"(/enrichments/free-email-validator-bulk) to know if each email address belongs to a personal email provider or a business domain.

Click on the "Enrich" button in the header.

![Click Enrich](/learn_images/marketing/business-or-personal/enrich-free-email-validation.png#2627x1236)

Then select "[Free Email Validator](/enrichments/free-email-validator-bulk)".

![Select Free Email Validator](/learn_images/marketing/business-or-personal/enrichment-free-email-validation.png#2235x1304)

Choose the property containing the email addresses from your collection.

![Map your email property](/learn_images/marketing/business-or-personal/map-properties.png#2185x1339)


Configure the output options to store the results. This will include whether the email is valid and the "Business Email" boolean information.

![Configure outputs](/learn_images/marketing/business-or-personal/business-boolean-outputs.png#2877x1326)


### Step 3: Review the Results

Datablist processes the email list and returns the following:

- **Valid Email** - Confirms whether the email address is valid based on its syntax and MX records.
- **Error Status** - The reason why the email address is invalid. Empty if valid.
- **Business Email** - Return True if the domain is not from a generic email provider (gmail, yahoo, etc.)


## Examples of Business Email analysis

Here are some examples:

- john.doe@gmail.com will be tagged as a personal email
- info@companyname.com will be marked as a business email
- random@disposable.com will be marked as invalid with an error message in the Error Status. The `Business Email` property will be marked as `False`.



## FAQ


### Why should you care about checking if an email belongs to a company?
Understanding whether an email is personal or business can help you target your messages more effectively. For example, a personalized approach might be better for personal email users, while business addresses may require a more formal tone.


### Is Datablist’s Free Email Validator really free?
Yes! The Free Email Validator is available to all Datablist users without any cost. You can upload as many email addresses as you need and run the validator as often as necessary.

### How does Datablist determine if an email is personal or business?
Datablist uses MX records to check the email’s provider. MX records reveal the mail servers associated with the email domain, which allows Datablist to identify whether the email is handled by a personal provider (like Gmail or Yahoo) or a custom domain typically used for business purposes.

### Can I use Datablist for large email lists?
Absolutely! Datablist is designed for bulk processing. Whether you have a few dozen or thousands of email addresses in a [CSV file](/csv-editor), Datablist can handle the list efficiently, providing results quickly.

### What other information does the Free Email Validator provide?
In addition to identifying whether an email is personal or business, the validator checks for the email’s validity. This includes flagging invalid addresses and identifying disposable or temporary email services.

### What file formats can I upload for validation?
You can upload email lists in CSV or Excel format. Just drag and drop your file into Datablist, and the platform will automatically process the data.


### Can Datablist help me remove fake or temporary emails?
Yes! Datablist’s [Free Email Validator](/enrichments/free-email-validator-bulk) flags emails from disposable services like @mailinator.com or @10minutemail.com. This helps you clean up your list and avoid contacting temporary or fake addresses.

### How long does it take to validate a large list of emails?
Processing time depends on the size of your list, but Datablist is optimized for fast, bulk validation. For most lists, you’ll have results within minutes.

Determine if email addresses are business or from personal email provider

If you’ve got a long list of email addresses, manually sorting out business from personal emails can feel like finding a needle in a haystack. 
But here’s the good news: Datablist’s Free Email Validator can do this for you in bulk, with just a few clicks.
It’s a simple, fast way to identify whether an email is linked to a business domain or a personal email provider. For free!
We’ve all seen personal email addresses like john.doe@gmail.com or sarah@yahoo.com. These are free, generic email providers, and people use them for everyday communication. Business emails, on the other hand, usually have a custom domain like info@companyname.com or jane@startup.com.
If you’re sending marketing campaigns or segmenting contacts, this distinction can help you tailor your approach. For example, business emails may require a more formal message than personal ones.
How to identify business email addresses from personal ones from a CSV file
Step 1: Import Your Email List
First, you’ll need to upload your email addresses to Datablist. You can either upload a CSV file or copy and paste the email list directly from a spreadsheet.
Note: The &ampquot;Free Email Validator&ampquot; enrichment is free and unlimited. You just need to create a free account.

Create a new collection in Datablist, click on the &ampquot;+&ampquot; button, and select &ampquot;Import CSV/Excel&ampquot;. Datablist opens CSV files and Excel files.
Import Email List
Step 2: Run the Free Email Validator Enrichment
Once your email list is uploaded, use the &ampquot;Free Email Validator&ampquot;(/enrichments/free-email-validator-bulk) to know if each email address belongs to a personal email provider or a business domain.
Click on the &ampquot;Enrich&ampquot; button in the header.
Click Enrich
Then select &ampquot;Free Email Validator&ampquot;.
Select Free Email Validator
Choose the property containing the email addresses from your collection.
Map your email property
Configure the output options to store the results. This will include whether the email is valid and the &ampquot;Business Email&ampquot; boolean information.
Configure outputs
Step 3: Review the Results
Datablist processes the email list and returns the following:
Valid Email - Confirms whether the email address is valid based on its syntax and MX records.
Error Status - The reason why the email address is invalid. Empty if valid.
Business Email - Return True if the domain is not from a generic email provider (gmail, yahoo, etc.)

Examples of Business Email analysis
Here are some examples:
john.doe@gmail.com will be tagged as a personal email
info@companyname.com will be marked as a business email
random@disposable.com will be marked as invalid with an error message in the Error Status. The Business Email property will be marked as False.

FAQ
Why should you care about checking if an email belongs to a company?
Understanding whether an email is personal or business can help you target your messages more effectively. For example, a personalized approach might be better for personal email users, while business addresses may require a more formal tone.
Is Datablist’s Free Email Validator really free?
Yes! The Free Email Validator is available to all Datablist users without any cost. You can upload as many email addresses as you need and run the validator as often as necessary.
How does Datablist determine if an email is personal or business?
Datablist uses MX records to check the email’s provider. MX records reveal the mail servers associated with the email domain, which allows Datablist to identify whether the email is handled by a personal provider (like Gmail or Yahoo) or a custom domain typically used for business purposes.
Can I use Datablist for large email lists?
Absolutely! Datablist is designed for bulk processing. Whether you have a few dozen or thousands of email addresses in a CSV file, Datablist can handle the list efficiently, providing results quickly.
What other information does the Free Email Validator provide?
In addition to identifying whether an email is personal or business, the validator checks for the email’s validity. This includes flagging invalid addresses and identifying disposable or temporary email services.
What file formats can I upload for validation?
You can upload email lists in CSV or Excel format. Just drag and drop your file into Datablist, and the platform will automatically process the data.
Can Datablist help me remove fake or temporary emails?
Yes! Datablist’s Free Email Validator flags emails from disposable services like @mailinator.com or @10minutemail.com. This helps you clean up your list and avoid contacting temporary or fake addresses.
How long does it take to validate a large list of emails?
Processing time depends on the size of your list, but Datablist is optimized for fast, bulk validation. For most lists, you’ll have results within minutes.


<p><strong>Lead Deduplication, or <a href="/features/duplicates-remover">lead deduping</a>, is the process of finding, and merging duplicate records to have a clean list of unique entries.</strong></p>
<p>A lead represents a person or a company. A duplicate lead is when there are multiple records for the same person or company.</p>
<p>Duplicate leads appear when you have several lead sources that pour into a single lead list. Examples of lead sources are lead magnets, webinars, newsletters, or manual entries.</p>
<p>👉 Check our <a href="/how-to/merge-duplicate-leads-without-losing-data">guide to remove duplicate leads from your list.</a></p>
<p>The main steps for lead deduplication typically include:</p>
<ol>
<li>
<p>Data Collection: Gather the leads from various sources, such as online forms, CRM systems, marketing automation platforms, and manual entry. The best format to extract data from all sources is the <a href="/learn/csv/csv-meaning">CSV format</a>. Use our <a href="/csv-editor">CSV Editor</a> to import and consolidate all your files.</p>
</li>
<li>
<p>Data Cleansing: Cleanse and standardize the leads by removing any irrelevant or incomplete entries, correcting formatting issues, and normalizing data fields to ensure consistency.</p>
</li>
<li>
<p>Define Duplicate Scoring Algorithm: This involves setting what constitutes a duplicate. For lead deduplication, you want to define your matching criteria on unique identifiers: email address, phone number, or contact name. For company leads the best identifier is the company website. Then, you can select how to compare values between leads. Do you want an exact match on names, or use fuzzy matching to match duplicate leads with slight changes.</p>
</li>
<li>
<p>Duplicate Identification: Run the deduplication algorithm on your leads. Duplicate groups are created with leads having a high similarity score.</p>
</li>
<li>
<p>Data Consolidation: Merge or update the duplicate records to create a single, consolidated, and accurate lead entry. This may involve merging contact details, activity history, and any associated information. <a href="/features/combine-csv-files">Data Consolidation</a> can be done automatically using rules or manually for conflicting leads.</p>
</li>
</ol>
<p>👉 Check our <a href="/how-to/merge-duplicate-leads-without-losing-data">free tool for lead deduplication.</a></p>
<p><img src="/learn_images/marketing/leads-deduplication/leads-deduplication.png#1078x1056" alt="Datablist Lead Deduplication Tool"></p>
<p>👉 Check our <a href="/how-to/merge-duplicate-leads-without-losing-data">free tool for lead deduplication.</a></p>



**Lead Deduplication, or [lead deduping](/features/duplicates-remover), is the process of finding, and merging duplicate records to have a clean list of unique entries.**

A lead represents a person or a company. A duplicate lead is when there are multiple records for the same person or company.

Duplicate leads appear when you have several lead sources that pour into a single lead list. Examples of lead sources are lead magnets, webinars, newsletters, or manual entries.

👉 Check our [guide to remove duplicate leads from your list.](/how-to/merge-duplicate-leads-without-losing-data)

The main steps for lead deduplication typically include:

1. Data Collection: Gather the leads from various sources, such as online forms, CRM systems, marketing automation platforms, and manual entry. The best format to extract data from all sources is the [CSV format](/learn/csv/csv-meaning). Use our [CSV Editor](/csv-editor) to import and consolidate all your files.

1. Data Cleansing: Cleanse and standardize the leads by removing any irrelevant or incomplete entries, correcting formatting issues, and normalizing data fields to ensure consistency.

1. Define Duplicate Scoring Algorithm: This involves setting what constitutes a duplicate. For lead deduplication, you want to define your matching criteria on unique identifiers: email address, phone number, or contact name. For company leads the best identifier is the company website. Then, you can select how to compare values between leads. Do you want an exact match on names, or use fuzzy matching to match duplicate leads with slight changes. 

1. Duplicate Identification: Run the deduplication algorithm on your leads. Duplicate groups are created with leads having a high similarity score.

1. Data Consolidation: Merge or update the duplicate records to create a single, consolidated, and accurate lead entry. This may involve merging contact details, activity history, and any associated information. [Data Consolidation](/features/combine-csv-files) can be done automatically using rules or manually for conflicting leads.

👉 Check our [free tool for lead deduplication.](/how-to/merge-duplicate-leads-without-losing-data)

![Datablist Lead Deduplication Tool](/learn_images/marketing/leads-deduplication/leads-deduplication.png#1078x1056)

👉 Check our [free tool for lead deduplication.](/how-to/merge-duplicate-leads-without-losing-data)

When to dedupe leads?

Lead Deduplication, or lead deduping, is the process of finding, and merging duplicate records to have a clean list of unique entries.
A lead represents a person or a company. A duplicate lead is when there are multiple records for the same person or company.
Duplicate leads appear when you have several lead sources that pour into a single lead list. Examples of lead sources are lead magnets, webinars, newsletters, or manual entries.
👉 Check our guide to remove duplicate leads from your list.
The main steps for lead deduplication typically include:
Data Collection: Gather the leads from various sources, such as online forms, CRM systems, marketing automation platforms, and manual entry. The best format to extract data from all sources is the CSV format. Use our CSV Editor to import and consolidate all your files.

Data Cleansing: Cleanse and standardize the leads by removing any irrelevant or incomplete entries, correcting formatting issues, and normalizing data fields to ensure consistency.

Define Duplicate Scoring Algorithm: This involves setting what constitutes a duplicate. For lead deduplication, you want to define your matching criteria on unique identifiers: email address, phone number, or contact name. For company leads the best identifier is the company website. Then, you can select how to compare values between leads. Do you want an exact match on names, or use fuzzy matching to match duplicate leads with slight changes. 

Duplicate Identification: Run the deduplication algorithm on your leads. Duplicate groups are created with leads having a high similarity score.

Data Consolidation: Merge or update the duplicate records to create a single, consolidated, and accurate lead entry. This may involve merging contact details, activity history, and any associated information. Data Consolidation can be done automatically using rules or manually for conflicting leads.


👉 Check our free tool for lead deduplication.
Datablist Lead Deduplication Tool
👉 Check our free tool for lead deduplication.


<p>Ever wondered which email providers are behind the email addresses in your contact list? Knowing this information can be incredibly useful, whether you’re segmenting business emails from personal ones or checking the reliability of email domains. <strong>One effective way to uncover this is by looking at the MX (Mail Exchange) records associated with the email domains.</strong></p>
<p>The good news? Datablist’s <a href="/enrichments/free-email-validator-bulk">Free Email Validator</a> enrichment can help you do this in just a few steps!</p>
<h2 id="user-content-what-are-mx-records"><a href="#what-are-mx-records" aria-hidden="true" tabindex="-1"><span></span></a>What Are MX Records?</h2>
<p>MX records are part of a domain's DNS (Domain Name System) settings. They tell email servers where to deliver emails sent to that domain. By querying the MX records, you can identify which email service (provider) is handling the email for a particular domain.</p>
<p>For example, when you send an email to <code>someone@gmail.com</code>, the MX records will show that <code>Google</code>’s servers manage the email. Similarly, business domains have their own mail servers or use third-party email providers like Outlook or G Suite.</p>
<h2 id="user-content-how-to-get-email-providers-using-mx-records"><a href="#how-to-get-email-providers-using-mx-records" aria-hidden="true" tabindex="-1"><span></span></a>How to Get Email Providers Using MX Records</h2>
<p>Getting the email provider through MX records might sound technical, but Datablist makes it simple. With the <a href="/enrichments/free-email-validator-bulk">Free Email Validator</a> enrichment, you can easily get the email provider from the MX records for all email addresses in your list.</p>
<h3 id="user-content-step-1-import-your-email-list"><a href="#step-1-import-your-email-list" aria-hidden="true" tabindex="-1"><span></span></a>Step 1: Import Your Email List</h3>
<p>First, you’ll need to upload your email addresses to Datablist. You can either upload a CSV file or copy and paste the email list directly from a spreadsheet.</p>
<blockquote>
<p><strong>Note:</strong> The "Free Email Validator" enrichment is <strong>free</strong> and unlimited. You just need to create a free account.</p>
</blockquote>
<p>Create a new collection in Datablist, click on the "+" button, and select "Import CSV/Excel". <a href="/csv-editor">Datablist opens CSV files</a> and Excel files.</p>
<p><img src="/learn_images/marketing/mx-providers/create-collection-cleaned.png#2598x1177" alt="Import Email List"></p>
<h3 id="user-content-step-2-run-the-free-email-validator-enrichment"><a href="#step-2-run-the-free-email-validator-enrichment" aria-hidden="true" tabindex="-1"><span></span></a>Step 2: Run the Free Email Validator Enrichment</h3>
<p>Once your email list is uploaded, use the Free Email Validator to check the email providers.</p>
<p>Click on the "Enrich" button in the header.</p>
<p><img src="/learn_images/marketing/mx-providers/enrich-free-email-validation.png#2627x1236" alt="Click Enrich"></p>
<p>Then select "<a href="/enrichments/free-email-validator-bulk">Free Email Validator</a>".</p>
<p><img src="/learn_images/marketing/mx-providers/enrichment-free-email-validation.png#2235x1304" alt="Select Free Email Validator"></p>
<p>Choose the property containing the email addresses from your collection.</p>
<p><img src="/learn_images/marketing/mx-providers/map-properties.png#2185x1339" alt="Map your email property"></p>
<p>Configure the output options to store the results. This will include whether the email is valid and the email provider information.</p>
<p><img src="/learn_images/marketing/mx-providers/mx-records-outputs.png#2881x1343" alt="Configure outputs"></p>
<h3 id="user-content-step-3-review-the-results"><a href="#step-3-review-the-results" aria-hidden="true" tabindex="-1"><span></span></a>Step 3: Review the Results</h3>
<p>Datablist processes the email list and return the following:</p>
<ul>
<li><strong>Valid Email</strong> - Confirms whether the email address is valid based on its syntax and MX records.</li>
<li><strong>Error Status</strong> - The reason why the email address is invalid. Empty if valid.</li>
<li><strong>MX Provider</strong> - Shows which provider manages the email domain (e.g., Gmail, Yahoo, Outlook, etc.).</li>
</ul>
<h2 id="user-content-examples-of-email-provider-identification"><a href="#examples-of-email-provider-identification" aria-hidden="true" tabindex="-1"><span></span></a>Examples of Email Provider Identification</h2>
<p>Let’s say you upload a list with these email addresses:</p>
<ul>
<li>john.doe@gmail.com</li>
<li>sales@company.com</li>
<li>contact@disposablemail.com</li>
</ul>
<p>After running the Free Email Validator, Datablist will show:</p>
<ul>
<li>Google as the provider for john.doe@gmail.com.</li>
<li>Custom/Business Provider for sales@company.com (e.g., might show Microsoft’s servers if they use Outlook).</li>
<li>Email invalid and an Error Status saying the email is disposable. For disposable domains, Datablist doesn't check the MX records.</li>
</ul>
<h2 id="user-content-list-of-mx-providers"><a href="#list-of-mx-providers" aria-hidden="true" tabindex="-1"><span></span></a>List of MX Providers</h2>
<p>The "Free Email Validator" enrichment returns the name of the email provider based on the MX Records.</p>
<p>Here is the list of built-in providers:</p>
<ul>
<li>google</li>
<li>microsoft</li>
<li>zoho</li>
<li>yahoo</li>
<li>safenames</li>
<li>ovh</li>
<li>amazon</li>
<li>gandi</li>
<li>ionos</li>
<li>mimecast</li>
<li>godaddy</li>
<li>yandex</li>
<li>apple</li>
<li>proofpoint</li>
<li>mailgun</li>
<li>protonmail</li>
<li>mail.ru</li>
<li>barracuda</li>
<li>namecheap</li>
</ul>
<blockquote>
<p><strong>Note:</strong> If the MX Records don't match one of those providers, the full MX Record is returned.</p>
</blockquote>
<h2 id="user-content-faq"><a href="#faq" aria-hidden="true" tabindex="-1"><span></span></a>FAQ</h2>
<h3 id="user-content-why-check-email-providers"><a href="#why-check-email-providers" aria-hidden="true" tabindex="-1"><span></span></a>Why Check Email Providers?</h3>
<p>There are several reasons you might want to know the email providers for the addresses in your list:</p>
<ul>
<li><strong>Segmentation</strong> - Separate business emails from generic email providers (like Gmail, Yahoo) to target them differently.</li>
<li><strong>Provider Reliability</strong> - Some providers are known for strong spam filtering, while others might be linked to higher bounce rates.</li>
<li><strong>Security</strong> - Identify disposable or suspicious email providers that might be linked to fake accounts.</li>
<li><strong>Campaign Optimization</strong> - Tailor your email marketing campaigns based on the provider’s deliverability and engagement trends.</li>
</ul>



Ever wondered which email providers are behind the email addresses in your contact list? Knowing this information can be incredibly useful, whether you’re segmenting business emails from personal ones or checking the reliability of email domains. **One effective way to uncover this is by looking at the MX (Mail Exchange) records associated with the email domains.**

The good news? Datablist’s [Free Email Validator](/enrichments/free-email-validator-bulk) enrichment can help you do this in just a few steps!

## What Are MX Records?

MX records are part of a domain's DNS (Domain Name System) settings. They tell email servers where to deliver emails sent to that domain. By querying the MX records, you can identify which email service (provider) is handling the email for a particular domain.

For example, when you send an email to `someone@gmail.com`, the MX records will show that `Google`’s servers manage the email. Similarly, business domains have their own mail servers or use third-party email providers like Outlook or G Suite.

## How to Get Email Providers Using MX Records

Getting the email provider through MX records might sound technical, but Datablist makes it simple. With the [Free Email Validator](/enrichments/free-email-validator-bulk) enrichment, you can easily get the email provider from the MX records for all email addresses in your list.


### Step 1: Import Your Email List

First, you’ll need to upload your email addresses to Datablist. You can either upload a CSV file or copy and paste the email list directly from a spreadsheet.

> **Note:** The "Free Email Validator" enrichment is **free** and unlimited. You just need to create a free account.

<aside class="text-center mb-5">
    <div class="mb-2">
        <a href="https://app.datablist.com/" className="btn btn-primary btn-large" target="_blank">
            Open Datablist
        </a>
    </div>
    <span class="orange-text">You need a free Datablist account</span>
</aside>

Create a new collection in Datablist, click on the "+" button, and select "Import CSV/Excel". [Datablist opens CSV files](/csv-editor) and Excel files.

![Import Email List](/learn_images/marketing/mx-providers/create-collection-cleaned.png#2598x1177)


### Step 2: Run the Free Email Validator Enrichment

Once your email list is uploaded, use the Free Email Validator to check the email providers.

Click on the "Enrich" button in the header.

![Click Enrich](/learn_images/marketing/mx-providers/enrich-free-email-validation.png#2627x1236)

Then select "[Free Email Validator](/enrichments/free-email-validator-bulk)".

![Select Free Email Validator](/learn_images/marketing/mx-providers/enrichment-free-email-validation.png#2235x1304)

Choose the property containing the email addresses from your collection.

![Map your email property](/learn_images/marketing/mx-providers/map-properties.png#2185x1339)


Configure the output options to store the results. This will include whether the email is valid and the email provider information.

![Configure outputs](/learn_images/marketing/mx-providers/mx-records-outputs.png#2881x1343)


### Step 3: Review the Results

Datablist processes the email list and return the following:

- **Valid Email** - Confirms whether the email address is valid based on its syntax and MX records.
- **Error Status** - The reason why the email address is invalid. Empty if valid.
- **MX Provider** - Shows which provider manages the email domain (e.g., Gmail, Yahoo, Outlook, etc.).


## Examples of Email Provider Identification

Let’s say you upload a list with these email addresses:

- john.doe@gmail.com
- sales@company.com
- contact@disposablemail.com

After running the Free Email Validator, Datablist will show:

- Google as the provider for john.doe@gmail.com.
- Custom/Business Provider for sales@company.com (e.g., might show Microsoft’s servers if they use Outlook).
- Email invalid and an Error Status saying the email is disposable. For disposable domains, Datablist doesn't check the MX records.


## List of MX Providers

The "Free Email Validator" enrichment returns the name of the email provider based on the MX Records.

Here is the list of built-in providers:

- google
- microsoft
- zoho
- yahoo
- safenames
- ovh
- amazon
- gandi
- ionos
- mimecast
- godaddy
- yandex
- apple
- proofpoint
- mailgun
- protonmail
- mail.ru
- barracuda
- namecheap

> **Note:** If the MX Records don't match one of those providers, the full MX Record is returned.

## FAQ

### Why Check Email Providers?

There are several reasons you might want to know the email providers for the addresses in your list:

- **Segmentation** - Separate business emails from generic email providers (like Gmail, Yahoo) to target them differently.
- **Provider Reliability** - Some providers are known for strong spam filtering, while others might be linked to higher bounce rates.
- **Security** - Identify disposable or suspicious email providers that might be linked to fake accounts.
- **Campaign Optimization** - Tailor your email marketing campaigns based on the provider’s deliverability and engagement trends.





Get email providers for emails

Ever wondered which email providers are behind the email addresses in your contact list? Knowing this information can be incredibly useful, whether you’re segmenting business emails from personal ones or checking the reliability of email domains. One effective way to uncover this is by looking at the MX (Mail Exchange) records associated with the email domains.
The good news? Datablist’s Free Email Validator enrichment can help you do this in just a few steps!
What Are MX Records?
MX records are part of a domain&amp#39;s DNS (Domain Name System) settings. They tell email servers where to deliver emails sent to that domain. By querying the MX records, you can identify which email service (provider) is handling the email for a particular domain.
For example, when you send an email to someone@gmail.com, the MX records will show that Google’s servers manage the email. Similarly, business domains have their own mail servers or use third-party email providers like Outlook or G Suite.
How to Get Email Providers Using MX Records
Getting the email provider through MX records might sound technical, but Datablist makes it simple. With the Free Email Validator enrichment, you can easily get the email provider from the MX records for all email addresses in your list.
Step 1: Import Your Email List
First, you’ll need to upload your email addresses to Datablist. You can either upload a CSV file or copy and paste the email list directly from a spreadsheet.
Note: The &ampquot;Free Email Validator&ampquot; enrichment is free and unlimited. You just need to create a free account.

Create a new collection in Datablist, click on the &ampquot;+&ampquot; button, and select &ampquot;Import CSV/Excel&ampquot;. Datablist opens CSV files and Excel files.
Import Email List
Step 2: Run the Free Email Validator Enrichment
Once your email list is uploaded, use the Free Email Validator to check the email providers.
Click on the &ampquot;Enrich&ampquot; button in the header.
Click Enrich
Then select &ampquot;Free Email Validator&ampquot;.
Select Free Email Validator
Choose the property containing the email addresses from your collection.
Map your email property
Configure the output options to store the results. This will include whether the email is valid and the email provider information.
Configure outputs
Step 3: Review the Results
Datablist processes the email list and return the following:
Valid Email - Confirms whether the email address is valid based on its syntax and MX records.
Error Status - The reason why the email address is invalid. Empty if valid.
MX Provider - Shows which provider manages the email domain (e.g., Gmail, Yahoo, Outlook, etc.).

Examples of Email Provider Identification
Let’s say you upload a list with these email addresses:
john.doe@gmail.com
sales@company.com
contact@disposablemail.com

After running the Free Email Validator, Datablist will show:
Google as the provider for john.doe@gmail.com.
Custom/Business Provider for sales@company.com (e.g., might show Microsoft’s servers if they use Outlook).
Email invalid and an Error Status saying the email is disposable. For disposable domains, Datablist doesn&amp#39;t check the MX records.

List of MX Providers
The &ampquot;Free Email Validator&ampquot; enrichment returns the name of the email provider based on the MX Records.
Here is the list of built-in providers:
google
microsoft
zoho
yahoo
safenames
ovh
amazon
gandi
ionos
mimecast
godaddy
yandex
apple
proofpoint
mailgun
protonmail
mail.ru
barracuda
namecheap

Note: If the MX Records don&amp#39;t match one of those providers, the full MX Record is returned.

FAQ
Why Check Email Providers?
There are several reasons you might want to know the email providers for the addresses in your list:
Segmentation - Separate business emails from generic email providers (like Gmail, Yahoo) to target them differently.
Provider Reliability - Some providers are known for strong spam filtering, while others might be linked to higher bounce rates.
Security - Identify disposable or suspicious email providers that might be linked to fake accounts.
Campaign Optimization - Tailor your email marketing campaigns based on the provider’s deliverability and engagement trends.



Marketing

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What is lead deduplication?

How to get the email providers for a list of email addresses?

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