Stealery vs ZoomInfo: A Different Approach to B2B Sales Intelligence

ZoomInfo and Stealery are not competing for the same job. ZoomInfo is a contact database — it tells you who works at a company and how to reach them. Stealery is a competitor-intelligence layer — it tells you which companies are already paying for a product like yours, so every conversation you start has a built-in reason to exist. Comparing them head-to-head only makes sense if you're clear on which problem you're actually trying to solve.

What problem does each tool actually solve?

The fastest way to understand the difference is to look at the question each tool answers.

ZoomInfo answers: Who works at this company, what is their direct dial, and do they match my ICP filters? It is fundamentally a data enrichment and contact-discovery platform. You define a firmographic profile — company size, industry, geography, job title — and ZoomInfo surfaces matching contacts. The intelligence is about people.

Stealery answers: Which companies are actively using my competitor right now? The intelligence is about accounts, specifically accounts that have already validated the problem your product solves by paying someone else to solve it. You are not cold-calling into the dark — you are walking into a room where the budget has already been approved and the workflow already exists.

These are complementary data layers, not substitutes. The confusion arises because both appear in the "sales intelligence" category in software review sites, but their actual use cases sit at different points in the prospecting workflow.

How does ZoomInfo build its data, and what are the limits?

ZoomInfo aggregates contact and company data from a wide mix of sources: web crawls, third-party data providers, opt-in professional networks, and a contributor network of users who share their address books in exchange for credits. The result is one of the largest B2B contact databases available, with over 300 million professional profiles by their own reporting.

The practical limits are well-documented. Contact data decays fast — Salesloft research suggests B2B contact data decays at roughly 30% per year, meaning roughly one in three records in any static database is outdated within twelve months. Direct-dial accuracy is a recurring complaint in user reviews; many SDRs report meaningful portions of dials hitting wrong numbers or outdated extensions.

There is also a signal problem. ZoomInfo can tell you that a VP of Engineering at a 200-person SaaS company exists and here is their email. It cannot tell you whether that company is frustrated with their current devops tooling, actively evaluating alternatives, or mid-contract with no switching appetite at all. The contact data is rich; the purchase-intent signal is thin unless you layer on ZoomInfo's Intent product, which is priced separately and uses keyword-based modelling rather than confirmed product usage.

"The database is enormous and the integrations are solid. But we were spending as much time cleaning bad data as we were doing actual outreach. Accuracy at scale is a real problem when you're paying per seat at enterprise pricing."

— Head of Sales Development, 90-person SaaS company (via G2 review)

What is job posting intelligence and why does it matter for prospecting?

Job posting intelligence is the practice of mining public job listings to identify which tools, platforms, and vendors a company actively uses. When a company posts a role that requires experience with Salesforce, Okta, or Snowflake, they are publicly disclosing that this tool is embedded in their operations. It is not modelled. It is not inferred. It is a direct, public declaration.

This matters for prospecting for a specific reason: it is the cleanest confirmation of active tool usage available at scale. Unlike intent data — which measures content consumption and infers interest — job postings confirm an existing vendor relationship. The company is not researching the category; they are hiring to support the tool they already run.

The data is also uniquely fresh. Job boards are updated continuously, and most job listings turn over within 30–90 days. A search run today reflects the current vendor stack across millions of companies, not a database snapshot from last quarter.

Harvard Business Review has written on how job postings reveal organisational priorities and operational realities that don't appear in any official company communication — including which vendors a company has committed to at an infrastructure level. SDRs have been slow to systematically exploit this signal, which means the teams who do are still operating with a meaningful informational edge.

This is the signal Stealery is built on. You search a competitor — say, a specific project management tool or a security platform — and get a list of every company that has mentioned that product in a job posting, filtered by company size, location, and the recency and volume of those mentions. What would take an SDR an afternoon of manual LinkedIn and Indeed searches takes about 30 seconds.

How do the two approaches compare for cold outreach reply rates?

The most important metric in cold outreach is not open rate — it is reply rate, because replies are what become meetings. Generic list-based outreach — pulling a firmographic filter from a contact database and sending a templated sequence — typically produces reply rates of 2–4% in competitive B2B categories.

Competitor-targeted outreach, where the opening line references the specific tool the prospect uses and why switching is worth a conversation, consistently produces reply rates of 12–18% in the teams we see using this motion at Stealery. The gap is not small. It is the difference between booking one meeting per 50 emails sent and booking one per 6–8.

The reason is mechanical, not magical. When you email someone and your first sentence demonstrates that you know they use a specific product — their current vendor — you have immediately separated yourself from the other 40 emails in their inbox that morning. You have context. You have a specific reason to be reaching out. The prospect does not have to do any work to understand why this might be relevant to them.

The context gap in database outreach

ZoomInfo-driven outreach is not bad outreach. For broad top-of-funnel campaigns, building awareness in a new segment, or covering a large ICP efficiently, a well-maintained contact database with accurate emails is exactly what you need. The problem is context. A list of 500 VPs of Engineering who fit your ICP gives you no information about their current vendor relationships, their switching appetite, or why now is the right moment to reach out.

The most effective SDRs layer both: they identify high-intent accounts using job posting signals, then use a contact database to find the right person at each account and get a verified email. The account list comes first. The contact lookup comes second.

When does ZoomInfo make sense for a sales team?

ZoomInfo makes the most sense when your primary constraint is contact data — not account selection. Specifically, it is the right investment when:

• You have a large, clearly-defined ICP and need to run volume outreach across hundreds or thousands of accounts simultaneously.
• Your product is horizontal — it sells into almost any company above a certain size — so competitor displacement is not your primary motion.
• You have an SDR team large enough to require a shared, standardised data source with CRM integration and admin controls.
• You need org chart data to navigate complex enterprise accounts with multiple stakeholders.
• You are running account-based marketing (ABM) where accurate contact data across many personas at the same account is essential.

At the enterprise level, ZoomInfo's integrations with Salesforce, HubSpot, Outreach, and Salesloft are genuinely strong. If you are running a high-volume, well-integrated sales operation and you have the budget, the platform earns its cost. The challenge is that the minimum contract commitment — typically $15,000–$25,000 per year at entry level — prices out the majority of early-stage teams before they have the volume to justify it.

When does Stealery make more sense than ZoomInfo?

Stealery is the right tool when competitor displacement is your primary sales motion — meaning you win most of your deals by pulling customers away from a named competitor rather than creating net-new budget or category awareness.

This applies to more teams than most people realise. If you sell in a category with 3–5 established players, every new customer you sign is almost certainly coming from one of them. You are not expanding the market; you are taking share. The fastest path to pipeline is not broader top-of-funnel — it is a precise list of the accounts already funding your competitor.

Stealery also makes sense when:

• You are an early-stage team or individual SDR who cannot justify a five-figure annual contract before you have proven the outreach motion.
• You want to run a focused, high-personalisation sequence rather than a high-volume spray-and-pray campaign.
• Your product has a short sales cycle and you need high-intent accounts, not just a large list.
• You are entering a new vertical and want to quickly identify which companies in that space are using your main competitor.

Can you use both tools together?

Yes, and for many teams this is the optimal setup. The workflow looks like this: use Stealery to build your account list — companies confirmed to be using a specific competitor, filtered by size and location — then use a contact database like ZoomInfo, Apollo, or Clay to find the right decision-maker at each account and get a verified email or direct dial.

This separates two distinct data problems that are often conflated. Which accounts should I target? is a different question from Who at this account should I contact? Conflating them — letting your contact database also decide your account prioritisation — is where most SDRs lose the context advantage. The database picks accounts based on firmographics. Stealery picks accounts based on confirmed competitor usage. These are very different selection criteria, and the latter produces a much tighter, higher-intent list to hand off to your contact lookup.

For teams at the earlier stages — sub-50 employees, no dedicated sales ops — starting with Stealery for account selection and pairing it with a lighter-weight contact tool like Apollo's free tier or Hunter.io is a practical and significantly cheaper approach than committing to ZoomInfo from day one. Prove the motion, measure reply rates, then upgrade the contact data layer once you have the volume to justify it.