5 Bulk Enrichment Methods Everyone Should Know About

People are building rockets to go to the moon and creating artificial intelligence that can reason, yet many are still stuck searching for data manually; this needs to change.

This article is for anyone who needs to enrich data in bulk to save hours (or days) of manual work.

When talking about data enrichment, we always start with the foundation. Basic information like company domains and LinkedIn profiles, which help us to find everything else. With these fundamentals, you can automatically build entire datasets without the manual grunt work.

Let's break down the bulk enrichment methods that give you the best for the least.

These Are The Topics I Covered

• Enrichment Method #1: Using Company Names to Find Domains
• Enrichment Method #2: Bulk LinkedIn Profile Identification
• Enrichment Method #3: Contextual Domain Search With AI
• Enrichment Method #4: Email Verification Through Waterfall Enrichment
• Enrichment Method #5: Custom Research With AI Agent

💡 Before We Start: Datablist Explained in 30sec

All these bulk enrichment methods are available on Datablist.com

Datablist is a data enrichment and automation platform that allows you to access 50+ data providers, 8 LLMs, 3 different AI agents, workflow automation features, and more.

You don't even need to code since Datablist has an easy-to-use spreadsheet interface.

Bulk Enrichment No.1: Find Company Domains from a List of Names

Finding a company's website is the first step in almost any sales or marketing workflow. It’s the key that unlocks everything else. But when you have a list of hundreds or thousands of company names, finding each domain one by one would result in a huge time investment.

What This Enrichment Does

The "Find Company Domains from a List of Names" enrichment takes a simple list of company names and automatically finds the correct, primary website domain for each one in bulk. You upload company names & it returns the domains.

A Quick Look at The Process

The workflow is straightforward, designed to get you from a list of names to a list of domains with minimal effort.

1. Upload Your List: Start with a CSV or Excel file containing a column of company names.
2. Run the Enrichment: Select the "Find Company Domain from Company Name" enrichment in Datablist.
3. Get a Clean List: The tool processes your list in bulk and adds a new column with the domains found.

Here’s a guide showing how to find domains using only a company name 👈🏽

Why It’s So Valuable

A company domain is a foundational piece of data. Once you have it, you can:

• Find prospects’ email addresses. Most email enrichment tools require a name and a domain to work effectively.
• Analyze a company's tech stack. Discover what software and tools a company uses on its website.
• Scrape the website for more information. Use the domain to gather details like company size, industry, or recent news.
• Qualify accounts. A professional website can tell you a lot about a company's legitimacy and scale.

Price

• Cost: Between 1 and 2,5 credits per company name lookup.
• Example: Enriching a list of 1,000 companies would cost 1,000 credits, or about $1.

Bulk Enrichment No.2: Find LinkedIn Profiles at Scale

Next to a domain, a LinkedIn profile is the most valuable piece of data for B2B outreach. It's the source for nearly all other professional data points about your prospect.

What This Enrichment Does

You provide a combination of a person's first name, last name, and a keyword like their company name or domain. The tool then searches for and returns the URL of their LinkedIn profile.

Why It’s So Valuable

In B2B sales and marketing, the LinkedIn profile is your source of truth. Without it, you miss out on critical opportunities.

To give you an example, here are two tasks that are nearly impossible to do without a LinkedIn profile:

• Find a direct-dial phone number. Phone-finding tools often use LinkedIn profiles as a primary source to locate mobile numbers.
• Filter leads based on demographics. A LinkedIn profile reveals details like career history, education, and connections that help you qualify prospects.

Price

• Cost: 2.5 Datablist credits per execution.
• Example: To look up 1,000 people, you would need a Datablist Starter subscription, which comes with 5,000 credits

Bulk Enrichment No.3: Find Domains with Contextual AI Search

What happens when your list of company names isn't perfect? Here are two scenarios many people face:

1. You have names like "Apollo" or "Pioneer" that could refer to thousands of businesses
2. You have complex legal entity names that don’t match the name the company uses in its marketing.

The domain finder will struggle in these cases. This is where Datablist’s AI agent comes in.

What This Enrichment Does

Instead of relying on a simple name-to-domain search, the **contextual domain search uses an AI agent to perform targeted research**. You can provide it with additional context, such as the company's location, industry, registration number, or any other additional data.

The AI agent then uses this context to find the correct website, just like a human researcher would, only much, much faster.

How The AI Agent Works for Domain Finding (Contextual Domain Search)

Datablist offers a pre-built template for this exact task; you don't have to be an AI expert.

1. Upload Your Data: Provide your list with company names and any contextual columns you have (e.g., Country, Industry).
2. Select the AI Template: Choose the "Find company website from its name" AI prompt template.
3. Map Your Columns: Tell the AI which columns contain the name and the contextual information.
4. Run the Agent: The AI performs a contextual search for each company and returns the most probable domain.

Here’s a guide showing how to find domains using an AI agent 👈🏽

Why It’s So Valuable

This method solves the accuracy problem for messy or ambiguous data.

• Handles Common Names: It can tell the difference between "United" the airline and "United" the local moving company based on context.
• Finds Regional Businesses: If you provide a city or state, the AI can pinpoint local businesses that would otherwise be lost in a global search.
• Increases Match Rate: For difficult lists, this method can significantly increase the number of correct domains you find, saving you from manual clean-up.

Price

• Cost: This enrichment is based on usage
• Example: If the AI Agent does 3 searches to find the domain, it might cost 5 credits. If it does 10 searches & checks 3 sites, it could be 15 credits or more. More work means more credits.

Bulk Enrichment No.4: Get Verified Emails with a Waterfall Method

Once you have a LinkedIn profile and a company domain, the next goal is usually finding a verified email address. But not all email providers are created equal. Some are great for tech companies in the US, while others excel at finding contacts in European manufacturing.

Relying on a single provider means you’re leaving a lot of data (money) on the table.

What This Enrichment Does

Waterfall enrichment solves this problem by chaining multiple data vendors together. It takes a prospect's name and company domain and queries the first data provider. If no email is found, it automatically moves to the second, then the third, and so on.

This process continues down the "waterfall" until the email is found or all sources have been checked.

The Waterfall Process Explained

Let's break down the steps happening behind the scenes.

1️⃣ Input: You provide a full name and a company domain.

2️⃣ First Attempt: The system checks vendor #1 for a verified email address.

3️⃣ Cascade Effect: If nothing is found, it automatically queries vendor #2, then #3.

4️⃣ Result: The process stops when a verified email is found or all providers have failed.

Why It’s So Valuable

The waterfall approach maximizes your chances of finding the right contact information without any extra effort on your part.

• Dramatically Increased Coverage: By checking multiple sources, you can find emails for hard-to-reach prospects that a single provider would miss.
• Pay-for-Performance Model: You only consume credits when a verified email is actually found. If no provider can find the data, you don't pay.
• Improved Data Quality: The system prioritizes verified emails, which reduces your bounce rate and protects your domain's reputation during outreach campaigns.

Price

• Cost: 25 Datablist Credits per email found
• Example: To find 1000 emails, you’d need a Datablist subscription + $20 credits top-up

📘 Pay Only For Success

The best part about waterfall enrichment is its fairness. If we don't find the data, you don't pay. This model ensures you get the maximum value for your investment, as you're only paying for successful outcomes.

Bulk Enrichment No.5: Custom Research with Datablist’s AI Agent

Sometimes, the data you need isn't available in any database. You might need to know if a company has a specific certification, if their website mentions a particular service, or if they are hiring for a certain role. In the past, this meant hours of manual research.

Nowadays, you can automate it by running Datablist’s AI Agent on your list

What This Enrichment Does

This data enrichment method uses the same AI Agent we used to run the contextual domain search, but instead of using a template, you give it custom instructions, i.e prompt.

Datablist’s AI agent can search, find, and extract information from anywhere on the internet. Think of it as a team of tireless research assistants who can read websites and answer specific questions for you at scale.

Why It’s So Valuable

Custom AI research opens the door to enriching your data with information that no standard tool can provide.

• Hyper-Personalization: Find unique talking points for sales outreach, like a recently published case study or a specific company value mentioned on their "About Us" page.
• Niche Lead Qualification: You can qualify leads based on very specific criteria. For example, you could check thousands of law firm websites to see which ones specialize in "intellectual property."
• Automate Tedious Tasks: Any research task that follows a repeatable pattern of visiting a website and looking for information can be automated.

Examples of Custom AI Research

The possibilities are nearly endless, but here are a few ideas to get you started:

• Recruiting Sales Team Example: Visit the careers page of each company on your list and extract titles of open positions that might not be listed anywhere else.
• Field Sales Team Example: Help your team prioritize prospects by discovering if companies have manufacturing sites in your target area by simply asking the AI, "Does this company have a manufacturing site in the Greater Denver area?"
• PR Agency Sales Team Example: Identify which CEOs haven't appeared on podcasts or received media coverage yet. This lets you focus your outreach on prospects who need your services most.

Price

• Cost: This enrichment is based on usage
• Example: For a custom research task checking if 1000 companies offer a specific service, you might pay 3000-10000 credits, depending on complexity

The Bottom Line: Stop Wasting Time

Manual data enrichment is holding you back. With the right tools, you can enrich data in bulk and get back to what you want to do.

Each of the five methods we've covered - from finding foundational domains to performing custom AI research - is designed to be executed in minutes with Datablist.

Key takeaway: automating your data enrichment is no longer a luxury; it's a must.

Frequently Asked Questions (FAQ) About Data Enrichment

Can ChatGPT Enrich Data?

Yes, ChatGPT can be used for certain data enrichment tasks. However, it's a conversational chatbot, not a specialized data tool. It can "hallucinate" or provide incorrect information. For bulk enrichment projects where accuracy and scale are critical, a dedicated tool like Datablist is a more reliable choice.

What Are the Enrichments With the Highest ROI?

The enrichments with the highest return on investment are almost always the foundational ones. Getting a company's domain, a prospect's email, and their LinkedIn profile unlocks the ability to run many other enrichments. They are the starting point for deep personalization and effective outreach, making them the highest ROI activities.

How Can I Find Someone’s LinkedIn Profile From Their Name and Company Name in Bulk?

The most effective way is to use a bulk LinkedIn profile finder tool like Datablist. You upload a list containing columns for first name, last name, and company name (or preferably, company domain). The tool processes the list and returns the corresponding LinkedIn profile URLs, saving you from searching for each person manually.

What Is “Waterfall Enrichment”?

Waterfall enrichment is a method of querying multiple data providers in a sequential order. If the first provider fails to find the requested data (like an email address), the system automatically tries the second provider, then the third, and so on. This cascading approach maximizes the chances of finding the data.

How Accurate Is AI-Powered Data Enrichment?

AI-powered enrichment, when guided by clear prompts and context, can be highly accurate—often more so than manual research for large datasets, as it eliminates human error. The key is providing the AI with enough context to make an informed decision.

Do I Need to Know How to Code to Use These Enrichment Methods?

No, not at all. Tools like Datablist are built to be no-code platforms. All the methods described in this article can be performed through a user-friendly spreadsheet interface. You can upload a file, choose an enrichment from a menu, and get your results without writing a single line of code.