How to Find Competitor Customers Using Job Postings (Stealery Method)

Job postings are the most underused public database in B2B sales. Every time a company writes "experience with [Competitor]" in a job description, they are publicly confirming they use that product — and by extension, that they have budget, a defined use case, and a vendor relationship that could be replaced. The companies on your competitor's customer list are hiding in plain sight, and they update the list themselves every time they hire.

Why do job postings reveal competitor customers?

A job posting is a company's internal reality made public. When a company writes a job description, they list the tools their new hire will actually use on day one — not aspirational tools, not tools they're evaluating, but the software already running in their stack. That specificity is what makes job postings so valuable for competitive prospecting.

There are three tiers of signal strength in job posting intelligence. The strongest signal is a tool named in the job title itself — "Salesforce Administrator" or "HubSpot Marketing Manager" — which means the company has built an entire function around that product. The second tier is a tool named in the responsibilities section: "manage our Outreach sequences" or "own our Gong library." The third tier is a tool named in the requirements: "3+ years of experience with Marketo." All three confirm usage; they differ only in how central the tool is to the role.

What makes this particularly powerful for SDRs is timing. A company that is hiring for a role tied to a competitor product is in one of three situations: they are growing and the tool is working, they are scaling and the tool is becoming a bottleneck, or they are replacing someone who managed the tool and the transition creates a natural evaluation window. Each of those situations is an opening.

"The best time to call a prospect is when they're already thinking about the problem you solve. A job posting that names your competitor is proof they're thinking about it right now."

— Becc Holland, Founder & CEO, Flip the Script

How do you extract tech stack signals from a job description?

Most job descriptions contain at least three to five tool mentions if you know where to look. The challenge is that they are scattered across sections and written in inconsistent formats. Here is where to look and what to look for.

The requirements section

This is the most reliable source of confirmed usage. Phrases like "proficiency in," "experience with," "familiarity with," and "hands-on experience using" all indicate tools the company currently uses. If a company requires experience with a tool, they have it in-house — they need the new hire to use it from day one.

The responsibilities section

Responsibilities reveal operational context. "Manage our HubSpot CRM" tells you the tool is live, owned by this team, and central to their workflow. "Build reports in Tableau" tells you Tableau is already deployed. This is often where the most specific signals appear, because responsibilities are written from the perspective of actual work being done.

The tech stack callout

Some companies — particularly in engineering and RevOps roles — include an explicit "tools we use" or "our stack" section. These are high-signal lists. Every tool listed is confirmed. For competitive prospecting, scan this section first.

The job title itself

A title like "Salesforce Revenue Cloud Administrator" or "Zendesk Support Lead" removes all ambiguity. The company has built a named function around that product. These are your highest-confidence accounts.

According to Salesloft's B2B prospecting research, reps who personalise outreach to a prospect's confirmed tech stack see reply rates 3–5x higher than those sending generic sequences. The job posting is what makes that personalisation possible.

What is the difference between manual job posting research and automated prospecting?

Manual job posting research means opening LinkedIn Jobs, Indeed, or a company's careers page, searching for your competitor's name, and logging what you find in a spreadsheet. It works. It is also slow — a thorough manual search across one competitor might yield 50–100 accounts and take two to three hours. Across five competitors, that is a part-time job.

The practical ceiling of manual research is roughly one competitor per week if you are also running sequences, attending calls, and doing everything else an SDR does. That is enough to validate the method, but not enough to build a repeatable pipeline motion.

Automated prospecting tools solve the scale problem. Instead of searching job boards manually, you type in a competitor name and get a structured list of every company actively using it, sourced from public job postings across all major job boards simultaneously. The list is filterable by company size, location, industry, and recency — so you can narrow 500 raw matches to the 40 accounts that fit your ICP before a single email is written.

This is the workflow Stealery is built around: you search a competitor, apply filters for headcount and geography, and export a list ready for your outreach tool — without a spreadsheet in sight. What takes three hours manually takes about three minutes. The underlying data is the same public job posting intelligence; the difference is whether you are doing the extraction by hand or letting a tool do it.

McKinsey's B2B sales research found that companies using data-driven prospecting methods — including hiring signals and intent data — outperform peers on pipeline generation by 2x or more. Job posting intelligence is one of the most accessible forms of that data, because it requires no proprietary data access and no third-party data agreements.

How do you qualify a competitor customer list before reaching out?

A raw list of companies using your competitor is not a prospect list — it is a starting point. Before any email goes out, you need to apply three qualification filters. Skipping this step is the most common reason job-posting-based outreach underperforms.

Filter 1: Company size fit

Your competitor's customer base almost certainly spans a wider size range than your ICP. If you sell to 50–500 person companies, remove the enterprise accounts (they have procurement processes that make competitive displacement a 12-month project) and the 5-person shops (they likely have a different budget reality). Apply your actual ICP size range before anything else.

Filter 2: Role signal fit

A company that posted a job for a "Salesforce Administrator" three years ago is a cold signal. A company that posted it two weeks ago is a hot one. Recency matters. Prioritise accounts where the job posting is less than 60 days old — this is when vendor conversations are most likely to be open.

Filter 3: Growth signal fit

A company hiring for multiple roles simultaneously is in a growth phase — which means budgets are moving and decisions are being made. Cross-reference your job-posting list against LinkedIn headcount growth data. Accounts that have grown 20%+ in the last 12 months are disproportionately likely to be re-evaluating their stack. These should be your first-call accounts.

After applying these three filters, a list of 200 raw accounts typically compresses to 40–60 high-fit prospects. That is a manageable, prioritised pipeline — not a spray-and-pray blast.

What should your cold email say to a competitor's customer?

The email to a competitor's confirmed customer is structurally different from a standard cold email, because you are not trying to create awareness of a problem. They already have the problem — they are already paying someone to solve it. Your only job is to make a compelling case for why your solution is worth a 30-minute conversation.

The opening line

Reference the specific tool they use, and name where you saw it. "Saw that you're hiring a [Competitor] Admin" is a credible, non-creepy opener because it names a public data source and implies you did real research. Do not pretend you found it some other way — the job posting context is a feature, not something to hide.

The pivot

One sentence that positions your product relative to their current tool without attacking it. "We work with a lot of teams migrating off [Competitor] who hit the same wall around [specific limitation]." This identifies the pain without requiring them to agree their current vendor is bad — they can self-select into the conversation.

The ask

A specific, low-commitment CTA. Not "Would you be open to learning more?" — that is a nothing ask. "Worth a 20-minute call to compare how we handle [specific use case]?" is specific and time-bounded. They know exactly what they are agreeing to.

Keep the whole email under 100 words. Competitor-targeted emails work because of the relevance of the signal, not the persuasiveness of the copy. Longer emails dilute the signal.

What mistakes do SDRs make when prospecting from job postings?

Job posting intelligence is highly effective when used correctly and nearly useless when it is not. These are the four failure modes that consistently show up.

Using stale postings

A job posting from eight months ago tells you a company used a tool eight months ago. It says nothing about whether they still use it, whether the role was filled, or whether the tool was part of a project that ended. Set a hard cutoff: only work postings from the last 90 days, with priority on the last 30.

Skipping ICP qualification

Sending the same email to a 12-person startup and a 2,000-person enterprise because both mentioned the same competitor tool is a category error. The conversation, the buyer, the decision process, and the competitive dynamics are completely different. Qualify for size and segment before sequencing.

Mentioning the job posting too explicitly

"I saw your job posting for a Salesforce Admin on LinkedIn" is fine. "I've been monitoring your job postings" is not. One signals relevant research; the other signals surveillance. Keep the reference casual and singular.

Treating the signal as a guarantee

A job posting that names your competitor confirms usage — it does not confirm dissatisfaction, budget availability, or timing. The signal earns you a better opening line and higher reply rate. It does not guarantee a deal. Use it to get the conversation started, then qualify in the call.