Why I Use Clay AND Apollo For Cold Email Campaigns
If you’re serious about cold email, you’ve probably heard about both Clay and Apollo. But here’s the thing: using them together creates a lead generation powerhouse that’s far more effective than using either tool alone.
In this post, I’m going to break down exactly why I combine these two platforms for every cold email campaign I run, and how you can do the same to build cleaner, more targeted lists in less time.
Apollo’s Filtering Power: The Foundation of Targeted Lists
Let’s start with Apollo. The real magic here comes down to the filtering capabilities, especially once you’re on a paid plan. Sure, the free version gives you some basic filters, but the paid features are where things get interesting.
Funding Information That Actually Matters
Apollo gives you access to funding data including the type of funding, last funding date, and amount raised. Now, this might not be as comprehensive as starting with Crunchbase, Dealroom, or PitchBook, but having it built right into Apollo is incredibly convenient.
Compare this to Clay‘s “Find Company” search, which only offers extremely wide funding ranges. You can’t filter by funding type, and you can’t filter by date range. It’s basically useless for this purpose. Apollo wins here, hands down.
Headcount Growth Signals
Another powerful filter is headcount growth. You can set a specific growth range—minimum to maximum—over different time periods. Want to avoid companies that have shrunk in the last 12 months? Set minimum growth to 0% over a 12-month timeframe.
If you have a wide total addressable market, you could narrow it down to companies with at least 10% growth over the last 6, 12, or 24 months. This kind of granular filtering simply isn’t available in Clay, making Apollo essential for this type of targeting.
Founded Year: A Proxy for Company Culture
Here’s something many people overlook: the year a company was founded tells you a lot about how they operate. Companies that have been around for decades tend to have well-established processes and are generally more resistant to change—which is exactly what you’re asking them to do when you pitch your product or service.
Filtering for companies founded since 2010, for example, means you’re targeting organizations that are more open to trying new solutions. As a bonus, these newer companies are more likely to use Google Workspace rather than Microsoft, and Google Workspace is much easier to land in from a cold email deliverability standpoint.
The Recruitment Agency Gold Mine
One of my favorite use cases combines multiple filters to find companies in serious pain. Here’s an example for recruitment agencies:
Filter for companies with a maximum of one person in their HR department, but with at least three to five active job postings. What you’re left with are organizations hiring aggressively without dedicated recruiting resources. Their senior leadership is drowning in resumes, interviews, and candidate screening—they’re in serious pain and need help.
The fact that Apollo can instantly surface these companies is incredibly powerful. Clay can’t do this on its own.
Other Apollo Advantages
Beyond these standout features, Apollo offers several other useful filters:
- Custom company lists: Upload up to 9,000 domain names to target specific companies. Have 27,000 companies? Split them into three lists and run three searches.
- Precise headcount ranges: Clay only offers rigid ranges like 51-200 employees. Apollo lets you get super specific—like targeting only companies with 4-7 employees.
- Technology tracking: See what tools companies use without burning Clay credits on the BuiltWith integration. Search for specific technologies like Google Ads Pixel, Semrush, or Unbounce.
- Keyword search in company descriptions: Not just company names or generic keywords—you can search the actual company description for relevant terms.
Why Clay Is Essential for Data Quality
So if Apollo is so great, why do I need Clay?
Simple: Apollo’s data is messy. The filters help you narrow down to the right companies, but the actual contact data needs serious cleaning and enrichment.
The Email Waterfall
When I export a list from Apollo and import it into Clay, I run it through a custom email waterfall. Here’s how it works:
First, I validate any email addresses that came from Apollo. If they’re valid, great—we move forward. If not, or if no email was found, I use LeadMagic to find and validate email addresses. LeadMagic is fantastic because it tells you whether an email is valid or catch-all, identifies the MX provider (Google or Microsoft), and flags security email gateways like ProofPoint or Barracuda.
This lets me segment contacts intelligently. Valid Gmail addresses go into one campaign. Valid ProofPoint emails go into a separate campaign with dedicated mailboxes that I’m willing to risk burning, keeping my main sending infrastructure safe.
If LeadMagic doesn’t find a valid email, I use FindEmail as a backup. Then I validate those results through LeadMagic again, because FindEmail isn’t always accurate about validity and security gateways.
AI-Powered Job Title Qualification
Until tools like Clay came along, I was manually reviewing Google Sheets to delete irrelevant leads based on job titles. My team and I would spend hours doing this. It sucked.
Now, I use Clay’s AI filtering to qualify job titles at scale. I set up criteria like “must be manager level and above” and specify relevant job functions—marketing, growth, revenue, founders, C-level, etc. I also exclude keywords like “junior,” “assistant,” or “paralegal.”
For each new industry I target, I adapt the prompt using Claude or another LLM to customize it for HVAC companies, SaaS businesses, marketing agencies, or whatever vertical I’m working with. Then I run the qualification at scale—no manual work required.
Company Qualification
Beyond job titles, I also use Clay to qualify companies themselves. AI can review company descriptions and assess whether they’re actually a good fit for my service or product, filtering out businesses that don’t have a genuine need for what I’m offering.
Once you’ve built a solid Clay table with all these enrichments, it becomes a “set it and forget it” system. You can keep uploading Apollo exports into the same table, or create multiple versions customized for different market segments or industries.
The Best of Both Worlds
Here’s the bottom line: using Apollo alone gives you messy data. Using Clay alone gives you less accurate targeting. But when you combine them, you get:
- Apollo’s powerful filters to find the exact companies and contacts you want
- Clay’s enrichment capabilities to clean, validate, and qualify that data
- Email waterfalls that maximize your contact rate
- AI-powered qualification that scales infinitely
- Segmentation that protects your sending infrastructure
The result? Bigger, cleaner, more accurate lists in a fraction of the time it would take using any other method. For anyone serious about cold email, this combination is absolutely essential.
If you’re not already using Apollo and Clay together, I highly recommend giving it a try. The time savings and improved targeting are worth the investment many times over.
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