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Blog * Product updates * Company * Outreach * Growth * Sales Visit Hunter.io Outreach HOW TO FIND LOOKALIKE PROSPECTS WITH HUNTER Ziemek Bućko • Updated 19 April 2024 1. Find lookalikes using Discover 2. Step 1: Find a matching lead 3. Step 2: Use your prospect’s characteristics as search criteria 4. Step 3: Save your search 5. Why lookalike search with Discover is so powerful When looking for outreach prospects, we often use industry criteria to find companies that are active in an industry aligned with our ideal customer profile. But many companies are difficult to put in one category, and they fall between the cracks of rigid industry categories. Which means you won't find them looking for prospects in a specific vertical. Let's look at the following example: Using Hunter Discover, if you wanted to find companies that produce abrasives, you can look for companies in the "Abrasives and Nonmetallic Minerals Manufacturing" industry. But it's a fairly narrow category, with just 79 categories listed worldwide. However, that doesn't mean the Discover database only contains data about 79 companies that produce abrasives – just that there are 79 companies for which "Abrasives and Nonmetallic Minerals Manufacturing" was the best-fitting industry. To overcome this, you can try to find lookalike companies – find one company that's a match, and look for similar companies using filters other than the industry. Let's go back to my abrasives example. If, instead of using the industry filter, I searched using the keyword "abrasives," I'd find 796 companies. That's 10 times more. In this article, I’ll show you how you can use Hunter Discover to prospect for lookalike companies and find more prospects that would otherwise fall between the cracks. FIND LOOKALIKES USING DISCOVER Discover is our recently launched B2B database. It’s based on data collected by Hunter’s crawler, meaning it surfaces information about the websites we found on the open web. Because we analyze every website surfaced in Discover, we can also provide descriptions for each company, which aim to capture what they do in great detail. Here is how can use these descriptions to find lookalike companies: STEP 1: FIND A MATCHING LEAD First, choose a company that you want to reverse-engineer, and look it up on Discover using the Company name filter. If we have the given company in our database, we’ll surface it with at least basic information like the industry, location, and headcount. For most companies though, Discover also gives you AI-generated keywords which aim to describe what the company does based on its website. For more information, click on the company and inspect the side panel. You can also dive into the technologies used on the website if that’s a relevant element of your ideal customer profile (ICP); for example, you may realize that websites using CloudFlare are typically a relevant target. STEP 2: USE YOUR PROSPECT’S CHARACTERISTICS AS SEARCH CRITERIA The technologies or keywords associated with your prospect company can be used to find more similar companies. Simply choose some of these attributes and use them as filters for a Discover search. In the example above, I copied the essential keywords associated with OpenAI and found 3742 similar companies. STEP 3: SAVE YOUR SEARCH Finally, you can save your Discover search configuration. With your search configured, click on "Save" at the top of the filter configuration. Give your search a name, and you'll be able to instantly access it by clicking "Load" the next time you're using Discover! This helps you quickly access a list of companies aligned with your ICP in the future – both to reuse that list and to find new relevant companies as they meet your criteria. WHY LOOKALIKE SEARCH WITH DISCOVER IS SO POWERFUL Companies describe themselves using complex, customer-facing language. That's why two similar companies can often land in different industries when applying rigid criteria. But thanks to generative AI's ability to analyze text at scale, it's possible to find fairly universal keywords that describe businesses based on their websites. That's exactly how we're leveraging AI in Discover, and for most companies, we're able to display a set of relevant keywords you can use to ensure the company is a good target for your email campaign and to find other companies like it. We’re planning to make it even easier for you to create a lookalike audience in the future, but even now, it’s really easy, thanks to the keywords surfaced by our AI-enabled database. Was this article helpful? Helpful Could be better Is there anything specific you want to share? Send feedback Thank you for your feedback! It helps us improving our blog articles. Ziemek Bućko Content Manager and cold email evangelist at Hunter.io. RELATED POSTS Outreach, Product THREE COLD EMAIL USE CASES FOR JOB POSTING DATA Ziemek Bućko • 09 January 2024 Outreach HOW TO USE GOOGLE MAPS DATA IN EMAIL OUTREACH Ziemek Bućko • 29 April 2024 Outreach WHAT'S THE BEST WORD COUNT FOR COLD EMAILS Ziemek Bućko • 26 April 2024 ✕ Close Send cold emails with Hunter Generate new opportunities with our all-in-one outreach platform. Create a free account Everything you need to know about cold email outreach, sales, marketing, and growth. Hunter helps 4 million professionals reach out to the people that matter for their business. 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