How to Build a Target List of Companies Using Your Competitor's Product

If you sell B2B software, the fastest pipeline you can build is made of companies already paying your competitor. They have budget allocated. They have validated that the problem is real. They know the category. Your job is no longer to convince anyone that a solution is worth buying — it's to show them why switching makes sense. That is a fundamentally shorter sales conversation.

Why target companies already using a competitor?

Targeting companies already using a competitor product is the highest-intent segment in your total addressable market. Every other prospect you reach requires education: what the problem is, why software solves it, why now. A company already running your competitor's tool has completed that entire journey. They are, by definition, an active buyer of the category.

The practical effect on pipeline is significant. McKinsey's B2B sales research consistently shows that contextually relevant outreach — where the message matches the prospect's known situation — produces 5–8x higher ROI than generic campaigns. Competitor-targeting is contextual relevance at its most direct: you know exactly what they use, which means you know exactly what to say.

There is also a timing element that is easy to miss. Companies don't use tools forever. Contracts renew annually. New heads of sales and RevOps join and audit the stack. Pricing changes. Products stagnate. A company that was a satisfied competitor customer 18 months ago may be actively looking for alternatives right now — and you will only know that if you're monitoring the right signals.

"The reps who consistently over-perform their quota aren't working harder — they're working a better list. Competitor users are the best list you can build because the qualification work is already done."

— VP of Sales, 60-person SaaS company, Stealery customer

How do you find companies using your competitors?

There are four proven methods for building a competitor user list, each with different coverage, cost, and accuracy. The best lists use two or more sources combined.

1. Job postings — the highest-signal free source

Job postings are the most underused data source in B2B prospecting. When a company posts a role that says "experience with Salesforce required" or "must have used Intercom," they have publicly confirmed they are an active user of that product. This data is free, refreshed daily, and covers companies from Series A startups to Fortune 500 enterprises.

The search logic is straightforward: query LinkedIn Jobs, Indeed, or a job data API for postings that mention your competitor's product name. Filter by job title (operations, sales, marketing, engineering — depending on who buys your product) and by company size. Export the company names and domains. You now have a list of confirmed users, not guessed users.

Job postings also carry an implicit urgency signal. A company hiring for a role that requires your competitor's tool is actively growing that function — they are scaling a workflow your product could own. That is a switching trigger, not just a targeting criterion.

2. Technographic data providers

Tools like BuiltWith, Datanyze, and Similartech crawl websites for JavaScript tags, tracking pixels, and infrastructure signals that reveal which software a company has installed. For web-based tools — analytics, CRM embeds, chat widgets, marketing automation — this coverage is excellent. For back-office or sales tools that leave no web footprint, it's limited.

Technographic data is most reliable for marketing technology. If your competitor is a CRM or a product embedded on customer-facing pages, technographic data will give you strong coverage. If your competitor is an internal tool, job postings will outperform it.

3. G2, Capterra, and software review platforms

Every reviewer on G2 who leaves a review of your competitor has self-identified as a user. The reviewer profile typically includes their company name, job title, and company size. This data is public, paginated, and scrapeable — or accessible via G2's buyer intent data product for enterprise teams.

Review platform data is particularly useful for identifying the buying persona. You can see not just which companies use the competitor, but which job titles left the reviews — meaning you know who evaluated and purchased the tool. That is the person you want to reach.

4. LinkedIn and social signals

LinkedIn Sales Navigator allows filtering by "technology used" in some cases, and always allows filtering by keywords in member profiles and company pages. Searching for the competitor's product name in company page descriptions or employee skill endorsements surfaces a subset of users. Coverage is partial, but the signal quality is high because it is user-generated.

If you want to do this at scale without building custom scrapers or stitching together four different data sources manually, a tool like Stealery handles the aggregation automatically — you type in a competitor name and get a filtered list of companies confirmed to be using it, with company size, location, and hiring activity already attached. What would take a full afternoon of manual research runs in about 30 seconds.

How do you filter and prioritise the list before outreach?

A raw competitor user list is not a prospect list. Before a single email goes out, you need to filter down to the accounts most likely to switch within the next 90 days. There are three filters that reliably separate high-intent from low-intent accounts.

Filter 1: ICP fit — company size and industry

Every company on your list uses your competitor, but not every company is a good fit for your product. Apply your ICP criteria first: employee count range, revenue band, industry vertical. A competitor user outside your ICP is still a poor prospect — the conversation will break down at pricing, at feature gaps, or at implementation complexity.

This filter alone typically removes 40–60% of a raw list. That is not waste — that is focus. The remaining accounts are worth genuine effort.

Filter 2: Hiring signals — growth indicators

Companies actively hiring in the function your product serves are more likely to be evaluating their current stack. A company hiring three sales ops roles is auditing their sales technology. A company hiring a Head of Customer Success is building a function that may need new tooling. Hiring volume in the relevant department is the best leading indicator of an open evaluation window.

Gartner's B2B buying journey research shows that 77% of B2B buyers describe their most recent purchase as "very complex or difficult" — and that complexity is highest during periods of organisational growth. That is exactly when they are most open to switching vendors.

Filter 3: Recency — when was the signal captured?

A job posting from 14 months ago that mentioned your competitor's tool tells you that company used it over a year ago. The contract may have ended. The team may have changed. Prioritise signals from the last 90 days. Recency is not a soft preference — it is the difference between reaching a company in an evaluation window and reaching one that closed it months ago.

What should you say when you reach out to a competitor's customer?

The opening line of your email or LinkedIn message must acknowledge the specific tool they use. Not vaguely — by name. This is what separates competitor-targeted outreach from generic outreach, and it is the single variable most responsible for the reply rate difference.

The structure that works

A competitor-targeting cold email has three components, in this order:

1. The context line. Name the tool they use and why that makes you relevant. "I saw you're running [Competitor] for your sales team..." This signals that the email is not mass-blasted.
2. The one-line switch reason. One specific reason why companies in their situation move away from that tool. Not a feature list — one crisp observation. "Most teams at your stage move off [Competitor] when [specific friction point]."
3. The low-friction ask. A specific, narrow request. Not "would you like a demo" — "worth a 15-minute call to see if the switch makes sense for your setup?"

The email should be under 100 words. Every word above 100 reduces reply rate. The prospect does not need to understand your entire product in the first message — they need one reason to reply.

What not to say

Do not disparage the competitor directly. "[Competitor] is unreliable" or "[Competitor] has terrible support" reads as desperation and damages your credibility. Instead, acknowledge that the competitor is a reasonable choice for some teams, then explain specifically why you are a better fit for theirs. That framing is confident, not aggressive, and it leaves the prospect feeling respected rather than sold to.

How do you scale competitor targeting without losing personalisation?

The common failure mode is treating personalisation as manual work that cannot scale. That assumption is wrong. The personalisation in competitor-targeted outreach is structural, not individual — the same message template works across hundreds of accounts because the context ("you use [Competitor]") is already relevant to every single one of them.

Build templates around competitor-specific pain points

For each major competitor, write two or three email variants built around the most common reasons companies switch away from that product. These are not generic pain points — they are specific to that competitor's known weaknesses: pricing model, missing features, support quality, scalability limits.

If you have three competitors and three variants per competitor, you have nine templates. Each one is contextually relevant to every company on the corresponding list. That is scalable personalisation — not mail merge fields, but structural relevance.

Sequence design for competitor lists

Competitor-targeted sequences should be shorter than generic outbound sequences. Three to four touchpoints over two weeks is the standard. The reasoning: if the fit is there, the prospect will respond early. If they don't respond after four touches, they are either happy with the competitor or not evaluating right now. Either way, continuing to push is noise, not pipeline.

Keep follow-ups additive — each message should add one new piece of information or a different angle on the switch reason, not just re-send the original ask with "just bumping this up." Teams that use additive sequences on competitor lists report reply rates of 12–18%, compared to the industry average of 2–3% for generic outbound. The difference is entirely attributable to relevance compounding across touches, not volume.

Refresh the list every 30 days

Competitor user lists go stale fast. Companies get acquired. Contracts expire. New companies get funded and adopt your competitor's tool for the first time. A list built once and worked for six months is a list with diminishing returns. The teams seeing the best results from competitor targeting treat it as a living data asset — refreshed monthly, filtered for recency, and worked in rolling batches rather than a single campaign.