Most guides about tech-stack signals stop at the easy part. They point you to a tool that tracks companies using Huntress, then leave the hard work of turning that list into a real B2B prospecting list up to you. That gap between raw data and a booked meeting is where most outbound campaigns quietly fall apart.
We’ll walk you through the whole process, start to finish. You will learn where the data on Huntress users comes from, how to filter a raw export down to companies with an actual sales team, and how to write outreach that gets a reply. Think of this as one complete workflow, not another list of tools for you to research on your own.
Key Takeaways
- Technographic data on Huntress users comes from job postings, public case studies, and website scans, not from Huntress itself. No single provider is complete, so you need to know where the gaps sit.
- A Huntress users list only becomes useful once you layer it with firmographic and org-chart filters. Tech-stack fit alone tells you nothing about whether a company has a sales team ready to buy from you.
- The right filtering and messaging turn buying intent signals into booked meetings. This guide shows you the exact steps to get there.
Chase Prospects Instead of Spreadsheets
Book a demo with Outbound Sales Pro and we’ll turn your ICP into booked meetings for your sales team to close.
What Is Huntress?
Huntress is a managed security platform built to catch the threats your other tools miss. It pairs proprietary endpoint detection technology with a 24/7 Security Operations Center staffed by real human analysts across the US, UK, and Australia. Instead of drowning your team in alerts, Huntress does the triage, investigates the threat, and hands you a clear next step.
Huntress was built for MSPs, IT departments, and security teams who need enterprise-grade protection without an enterprise-sized budget. Its capabilities span managed EDR, ransomware canaries, Microsoft Defender integration, and Microsoft 365 threat monitoring, all backed by analysts who validate every detection before it reaches you. The result is a security partner that finds threat actors fast, isolates infected hosts, and helps you shut attacks down before they become headlines.
Who Should Be Looking for a List of Companies Using Huntress
A list of companies using Huntress is not just for security vendors chasing a direct swap. Huntress usage is a filter that several go-to-market roles can use to sharpen their ideal customer profile (ICP) and find warmer outbound sales leads. Each role below reads the same signal a little differently, based on what they sell and who they need to reach.
MSP Sales and Business Development Leaders
MSPs that don’t yet offer Huntress, or that compete against MSPs who do, use this list to spot accounts already comfortable paying for managed security. These companies have already accepted the idea of outsourcing IT security, which shortens the education phase of the sales cycle. A well-built prospect list here saves BD teams from cold-pitching companies that still handle security in-house.
Cybersecurity and Compliance Vendors Selling Adjacent Tools
Vendors selling cyber insurance, SOC 2 tooling, or backup and disaster recovery don’t compete with Huntress, they complement it. A company running Huntress has already cleared budget and buy-in for security spend, which makes the adjacent pitch easier. Appointment setting for these vendors works best when the outreach names the existing tool instead of talking in vague security generalities.
Appointment-Setting and Outbound Agencies
Agencies running outbound on behalf of security or MSP-adjacent clients use Huntress data as one signal in a larger ICP filter. It gives SDRs a specific, credible reason to reach out instead of a generic “hope you’re doing well” opener. The stronger the match to the ideal customer profile, the higher the reply rate on every touch in the sequence.
Channel and Partner Managers at Security Vendors
Partner managers at companies that sell through MSPs use this list to find MSPs already running Huntress for their clients. That tells them which MSPs are security-forward and more likely to add a complementary tool to their stack. It also helps them decide which partners deserve co-marketing dollars first.
SDRs and Sales Development Teams Running Account-Based Outbound
SDR teams running account-based outbound need a tight list, not a big one. Filtering by Huntress usage narrows a broad target market down to accounts with a specific, provable reason for the call. That specificity is what turns a cold list into outbound sales leads worth the SDR’s time.
Why “Uses Huntress” Is a Meaningful Buying Signal (and for Whom)
When a company shows up as a Huntress user, it tells you something specific about its IT maturity. Huntress builds its business around small and mid-sized companies, typically in the 5 to 200 employee range, and delivers most of its protection through managed service providers rather than in-house security teams. That combination signals a company mature enough to pay for real endpoint protection, but not big enough to run its own security operations center.
That MSP relationship and existing security spend correlate with openness to adjacent categories. A company already paying an MSP for Huntress has cleared the “we need to spend money on security” conversation internally, which makes it a warmer prospect for cyber insurance, compliance tooling, backup and disaster recovery, IT staffing, and MSP-adjacent software. Firmographic data on company size and industry only gets stronger when a real technology signal like this one backs it up.
Treat Huntress usage as a proxy for buyer readiness rather than a guarantee of fit. Some companies running Huntress will have no appetite for another vendor conversation, and some will already be evaluating a switch, which opens the door to competitive displacement selling. The signal earns you a warmer opening line, not an automatic yes, which is the same reason timing matters so much when you look at when cybersecurity buyers actually buy.
Where to Actually Get a List of Companies Using Huntress
You can’t find one source that publishes a complete list of companies using Huntress, so most teams pull from a mix of dedicated technographic tools and full sales intelligence tools that bundle tech-stack data in with contacts and firmographics. If you also work with other buying signals, our comparison of intent data providers is a useful companion to the table below. Treat every number as an estimate, since coverage shifts as providers update their crawlers and datasets.
|
Provider |
Approx. Companies Tracked |
Data Fields Included |
Access Model |
|
Not publicly disclosed; strongest for developer-tool and technical buyers |
Tech stack, GitHub and job-posting signals, firmographics |
Platform subscription |
|
|
Job-posting based detection across 32,000+ technologies |
Tech stack, hiring signals, company size, location |
Self-serve; free tier plus paid plans from $59/mo; API and bulk export |
|
|
2 million+ companies; 45,000+ enterprise apps |
Tech stack, buyer intent, decision-maker contacts, 100+ data fields |
Subscription/membership |
|
|
BuiltWith |
414 million+ domains; 113,000+ web technologies |
Web and ecommerce tech stack, employee count, traffic rank |
Self-serve subscription, roughly $295-$995/mo; API |
|
ZoomInfo |
Tech stack, contacts, firmographics, intent data |
Platform subscription |
|
|
Cognism |
EMEA-focused; compliance-checked contact and tech data |
Tech stack, verified mobile numbers, firmographics |
Platform subscription |
|
Tech stack combined with contact and firmographic data |
Tech stack, verified contacts, firmographics |
Self-serve; free tier plus paid plans |
|
|
HG Insights |
Enterprise install base; Fortune 5000 focus |
Tech spend, contract renewal timing, firmographics |
Platform subscription |
None of these sources are exhaustive on their own for a niche MSP tool like Huntress. Cross-referencing two or three of them, then verifying with the checklist later in this guide, gives you a far more reliable list than trusting one provider alone.
Filtering the List to Match This Exact ICP
This section builds on the general approach in our guide to prospect list building, applied specifically to a Huntress technographic export.
1. Start With Firmographic Filters: Company Size and Revenue
Begin by applying firmographic filters for employee count and revenue band. Since Huntress itself targets companies with 5 to 200 employees, most technographic exports will already skew toward this range, but you should still confirm it directly. Cutting out companies far outside this band removes a large share of poor-fit accounts before you spend any time on manual research.
2. Confirm a Dedicated Sales Team Exists
Next, check whether each remaining company has a dedicated sales function at all. This step matters because the offer only works if a company has in-house reps ready to take a handoff, which rules out most retail businesses and founder-led shops with no formal sales team. Look at the company’s LinkedIn page and website team page for titles like sales manager, account executive, or VP of sales.
3. Cross-Reference Job Titles via LinkedIn or Job Postings
Search LinkedIn or a job board for open or recent postings for sales manager, SDR, or account executive roles at each remaining company. An active sales-hiring pattern is a strong sign the company is growing its sales team and not just keeping one person on staff. This step is what separates generic tech stack targeting from a list built around your exact ideal customer profile.
4. Rank and Tier the Remaining Accounts
Once you’ve filtered down to companies with the right size and a real sales team, rank what’s left into tiers based on fit. Tier 1 accounts might be companies actively hiring multiple sales roles, while Tier 2 accounts have a stable but smaller team. This tiering tells your outreach team which accounts deserve a phone call first and which can start with email.
Worked example: Say you start with a technographic export of 500 companies using Huntress. Filtering for the 5 to 200 employee range might cut that to roughly 300 companies, since some Huntress accounts sit outside that band. Confirming a dedicated sales function typically removes another 60 percent, leaving around 120 companies, and cross-referencing job postings narrows it further to a working list of 60 to 80 tightly qualified accounts. In most runs of this workflow, only about 12 to 16 percent of the original export survives every filter, which is exactly the point: a smaller, sharper list outperforms a bigger, messier one.
Filtering a List by Hand Is Doable, but Scaling It Every Month Is a Full-Time Job
Book a demo with Outbound Sales Pro and let our team handle the sourcing, filtering, and outreach so your reps just show up to the meeting.
Sample Outbound Messaging That References Huntress as the Personalization Hook
Naming the specific tool a company uses works better than a vague line about investing in security. It shows the prospect you did real research instead of running a mail-merge, and it turns a raw list built on buying intent signals into real appointment setting wins. Try using the templates below when connecting with a Huntress user.
Cold Email Opener
Subject: quick question about your security stack
Hi [First Name], I noticed your team runs Huntress for endpoint protection, which tells me security is already a priority for your company. I work with sales and marketing leaders at similar-sized companies to help them [protect customer trust during the sales process / speed up deal cycles with security-conscious buyers]. Worth a quick 15-minute call this week?
Why it works: It names the specific tool, ties it to an outcome the sales manager actually owns, and asks for a small, low-friction next step.
Follow-up Email
Subject: re: your security stack
Hi [First Name], following up in case my last note got buried. Companies running Huntress like yours are often a good fit for [offer], since you’ve already cleared the internal conversation about paying for security. Happy to send over a two-minute overview if that’s easier than a call.
Why it works: This angle holds up well in competitive displacement selling situations too, where you’re proposing an adjacent tool rather than a straight swap.
Call Opener
“Hi [First Name], this is [Your Name] with [Company]. I’ll keep this short: I saw your team runs Huntress, which usually means you’re already thinking seriously about security and buyer trust. I’m calling because [offer] tends to be a natural next step for teams like yours, do you have two minutes?”
Why it works: Calls like this convert cold outbound sales leads into real conversations faster than a generic opener ever will.
A Full Worked Scenario: From Technographic List to Booked Meeting
Here’s how this entire workflow plays out in practice, using the same process Outbound Sales Pro runs for clients.
Step 1: Source the List
Start by pulling 500 companies using Huntress from a technographic source, following the providers covered earlier in this guide. This raw export is your starting point, not your prospect list, so treat it as inventory rather than something you’re ready to contact. The wider your source pool, the more accounts survive the filtering steps that come next.
Step 2: Filter to Your ICP
Apply the firmographic and org-chart filters covered earlier to narrow that group down to SMEs with sales teams of 20 or more people. That filtering pass typically leaves somewhere between 60 and 100 verified accounts from the original 500. This is the step most teams skip, and skipping it is why so many technographic lists never turn into meetings.
Step 3: Enrich Contacts
Next, you build the actual prospect list by enriching the survivors with verified contact details for the sales manager or marketing lead at each account. These are the buyers most likely to own the kind of offer this guide covers, not the IT admin tied to the Huntress purchase itself. A clean, verified contact at this stage is what makes every later touch land with a real person instead of a general inbox.
Step 4: Run a 3-Touch Outreach Sequence
From there, run a three-touch outbound sequence: an email that names Huntress directly, a LinkedIn connection request and message a few days later, and a phone call to close the loop. Each touch reinforces the same personalization hook instead of introducing a new angle. Spacing the touches a few days apart gives the prospect room to notice the pattern without feeling rushed.
Step 5: Hand Off the Booked Meeting
The goal of this kind of technographic prospecting is a qualified meeting rather than just a reply. Once a prospect agrees to a call and confirms real interest, that meeting gets handed off to the client’s in-house sales reps to run the actual sales conversation and close the deal. This is exactly how appointment setting is supposed to work: your list turns into meetings, and the client’s team turns those meetings into revenue, which is easier to track once you know your true cost per meeting.
Common Mistakes When Prospecting Off a Single Technographic Signal
Mistake 1: Treating Tech-Stack Fit as the Whole ICP
It’s tempting to treat “uses Huntress” as your entire ideal customer profile and skip every other filter. A retail chain or a founder-led shop can show up in the same technographic export as a growing SME with a real sales team, even though neither fits your buyer profile.
Fix: Always layer firmographic and org-chart filters on top of any tech stack targeting signal before you build outreach around it.
Mistake 2: Working From Stale Technographic Data
Technographic detection lags real-world adoption, sometimes by months, which means some companies on your list may have already dropped Huntress for a competitor. Pitching a company on a tool it no longer uses wastes the call and hurts your credibility with that prospect.
Fix: Spot-check a sample of your list against a secondary source, like a recent job posting or case study, before you launch a full campaign.
Mistake 3: Pitching an IT Admin Instead of a Sales Leader
Huntress itself is bought and managed by IT, which makes it easy to default to pitching an IT admin or CISO with your outreach. But if your offer is really owned by a sales or marketing leader, that IT contact isn’t the person who can say yes.
Fix: Instead of the person tied to the technographic signal, map the actual buyer for your specific offer before you build your contact list.
How Fresh and Accurate Is “Companies Using Huntress” Data, and How to Verify It
Technographic detection typically lags real-world adoption by weeks or months, since most providers rely on crawling job postings, public case studies, or website scans rather than a live feed from the vendor itself. Coverage also varies a lot: industry research on technographic data accuracy generally puts most providers around 70 to 85 percent accurate, with the strongest providers reaching into the low 90s when they combine automated detection with human verification. For a Huntress users list specifically, that means a meaningful share of any export could already be out of date.
Before you commit a full outreach budget to a new list, cross-check a sample against secondary signals. LinkedIn job postings that mention Huntress by name, MSP partner directories, and published case studies are all good ways to confirm a company is still an active user. This kind of spot-check catches most stale records before they cost you a wasted call, the same way you would want to confirm a signal before you check if a company had a data breach and pitch off it.
Verification checklist:
- Pull a random sample of 20-30 accounts from your list before launching full outreach.
- Search each company’s name alongside “Huntress” on LinkedIn to look for recent job postings or employee mentions.
- Check MSP partner directories or case study pages to confirm the relationship is still active.
- Track your “confirmed active” rate, and pull from a second provider if it falls below 70 percent.
Repurposing the Same Workflow for Other Technographic Signals Beyond Huntress
The five-step process in this guide (source, filter, enrich, message, and hand off) works for any technographic signal beyond Huntress. If you’re trying to figure out how to find companies using a specific technology in a different category, swap out the tool name and the adjacent-offer logic still holds. The workflow scales because it’s built on filtering for fit first, not on any one data source.
Adjacent MSP and security platforms where this same workflow applies:
- ConnectWise (PSA/RMM platform common among the same MSP customer base)
- Datto (backup and disaster recovery, often paired with the same security-conscious buyers)
- NinjaOne (RMM platform used by similarly sized MSPs and their clients)
- SentinelOne (a step up in endpoint protection maturity worth tracking for upmarket plays)
Summary
“Companies using Huntress” is a useful signal, but it’s not a complete strategy on its own. It tells you a business has already cleared the internal conversation about paying for security, and that it likely works through an MSP rather than an in-house security team. On its own, though, that signal says nothing about whether the company has a sales team ready to take your call.
The filtering and messaging steps in this guide turn that raw signal into a real B2B prospecting list. Layering in firmographic filters, confirming a dedicated sales function, and writing outreach that names the tool directly are what separate a real pipeline from a spreadsheet nobody replies to. Verify your data before you scale, and the whole workflow holds up campaign after campaign.
Outbound Sales Pro runs this exact process for clients every day: sourcing the list, filtering it to the right ICP, enriching contacts, and running the outreach that turns outbound sales leads into booked meetings. If you’d rather hand this workflow to a team that already runs it day to day, see how it works for your pipeline. Book a demo with Outbound Sales Pro to get started.
FAQs About How to Find Companies Using Huntress
Technographic data is information about which software and technology tools a company actually uses, gathered from sources like job postings, website scans, and public case studies. Sales and marketing teams use it to spot companies that already run a specific tool, like Huntress, and target outreach around that fit. It works best when paired with firmographic data like company size and industry.
You can find companies that use a specific technology through dedicated technographic data providers, general sales intelligence tools with tech-stack filters, or manual research through job postings and case studies. Most teams combine two or three sources since no single provider tracks every company. Cross-checking your list against a secondary source before outreach cuts down on stale or inaccurate matches, as covered in the verification section above.
There’s no single best tool, since the right choice depends on what you’re targeting. BuiltWith and TheirStack are strong for detecting a company’s web and job-posting-based tech stack, while ZoomInfo, Cognism, Apollo.io, and HG Insights bundle technographic filters into broader sales intelligence platforms with contact data included.
Huntress does not publish a full public list of every company or MSP that uses its platform. You can find some Huntress users through its own MSP partner page, published case studies, and technographic data providers, but no single source is complete.
MSPs and resellers can join the Huntress partner program to get co-selling support, deal registration, dedicated sales and technical resources, and marketing materials through the Huntress Hub. This is a direct path to warm leads for MSPs already selling Huntress, separate from building your own prospecting list.
Most technographic data providers land somewhere between 70 and 85 percent accurate, with the strongest reaching the low 90s when they combine automated detection with human verification. Detection can also lag real-world adoption by weeks or months, so it’s worth spot-checking a sample of any list before you commit a full campaign to it.
Huntress itself targets companies with roughly 5 to 200 employees, so most of its user base is within that range. In that group, look specifically for companies with 20 or more people on the sales team, since that’s a strong sign a dedicated sales function exists to receive a handoff meeting.
No, Huntress does not sell a customer list directly. You’ll need to source that data through third-party technographic providers or sales intelligence tools, then verify it using the checklist covered earlier in this guide.
Layer Huntress usage with firmographic filters like employee count and revenue, then confirm a dedicated sales function through LinkedIn org charts or job postings. Combining a technology signal with company-fit and buyer-readiness signals is what turns a raw export into a list worth calling.
For a team doing this manually, expect several days to a week to source, filter, and verify a working list of 60 to 100 accounts. That timeline shortens significantly once you have a repeatable process, or if a team like Outbound Sales Pro runs the sourcing and filtering for you.
Chasing Every Signal Takes Time Your Sales Team Doesn’t Have
Our appointment setting service turns companies switching MSPs into meetings already on your reps’ calendars. Book a demo with Outbound Sales Pro now.
