Lusha, ZoomInfo and Cognism: where each falls short for BD

If you're searching for lusha competitors, the two names that keep coming up are ZoomInfo and Cognism. All three are credit-based contact databases: you search a title or company and get a matched profile with contact details attached. This article compares them on Australia and New Zealand coverage, mobile number accuracy, how email verification actually works, what happens to unused credits, and the bigger problem none of them solve, knowing which company needs a call today.

Two different complaints hide behind the search for lusha competitors

Most people typing lusha competitors into Google are annoyed about one of two different things, and each needs a different fix.

The first is coverage. You search a hiring manager in Wellington or Wagga Wagga and get nothing, or a title two years out of date. That's a database problem, fixed by testing a different database against the same list.

The second is different. The tool found a name and a number, but it can't tell you the company posted a job ad three hours ago, or reposted the role twice after the first hire fell through. That's not a data quality issue. None of these tools were built to watch job boards, so switching between them won't fix it.

What Lusha, ZoomInfo and Cognism are actually built to do

Strip the branding away and lusha competitors do the same job Lusha does: you search a company or title, and the tool returns people matched against a stored database of employment records, name, title, company, and whatever contact details are attached.

Lusha built its name on a browser extension that surfaces a contact card on a LinkedIn profile. ZoomInfo is the largest of the three, with org charts, technographics and intent data aimed mostly at enterprise sales teams. Cognism leans on its own verification layer and leads with mobile coverage for outbound teams in Europe and the US.

Each holds a snapshot of who works where, refreshed on its own schedule, not yours.

Coverage in Australia and New Zealand is where the gap shows up first

All three vendors are built where their customer base is thickest: the US and UK. Data partnerships and update frequency follow the money, and ANZ is a smaller slice of their revenue than it is of your call list.

The result: search a site manager in regional Queensland or a payroll officer in Hamilton and the hit rate drops against the same title in Chicago or Manchester. A vendor's published country count or total contact figure says nothing about depth in your patch.

The only test that means anything is your own. Pull twenty companies from your current call list and run them through each trial before you pay for anything. Count how many return a current, correctly titled contact, not just a name.

Mobile numbers: real, guessed, or inferred from a pattern

A mobile number in any of these databases is either confirmed against carrier data, or inferred, built from a naming pattern or copied from an old public profile and never rechecked. The listing itself won't tell you which.

You find out by dialling it.

Before committing a credit budget to any vendor, pull ten mobile numbers across different seniority levels and call them. A verified number connects or hits a named voicemail. A stale or guessed one is disconnected, belongs to someone else, or rings out with nothing. Run that test on Lusha, ZoomInfo and Cognism side by side and the real differences show up fast, not the ones in their marketing pages.

Verification method, and who eats the cost when an email bounces

Email verification usually runs three checks: syntax, does the address follow a valid format; domain, does the mail server exist and accept mail; and a mailbox ping, a soft check against the actual inbox with no visible email sent.

The mailbox ping is the check that matters, and the one vendors are vaguest about in public material. A syntax and domain pass alone can still look "verified" on a mailbox that closed six months ago.

Ask any vendor in writing, before you buy: if an email bounces after I've spent a credit, do I get it back, and what counts as proof? Some refund automatically inside a set window, some require you to report it, some don't refund at all. Get the answer before the invoice.

Credit models and what happens to the ones you don't use

Credit pricing across this category works the same basic way: a monthly allowance, with each contact reveal spending one or more credits. Where vendors differ is what happens to credits you don't use.

Some plans reset to zero each month. Some let unused credits roll over, usually capped at a multiple of the monthly allowance. Annual contracts sometimes lock in a larger upfront pool with no monthly top-up, which suits steady volume and penalises a quiet month.

These terms change between tiers and over time. Don't take rollover rules from a comparison article, including this one. Check the vendor's own current pricing page, and get it confirmed in writing if it isn't stated plainly.

The question none of these tools answer: who needs you this week

Lusha, ZoomInfo and Cognism answer "who works at this company." They don't answer "which company has a live need right now." Those are different questions, and recruitment BD runs on the second one.

A contact database has no field for a job ad posted this morning, no way to flag an ad that's been live three weeks with forty applicants and no placement, and no concept of a hiring manager actively screening versus one who filled the role last month and never updated their title. You can hold the most accurate record in the country on an operations manager and still call them about a vacancy that closed three weeks ago.

Buying a bigger database to fix a timing problem blames the data for a mismatch in category. See how Rectask finds the hiring manager for what a job-ad-based approach looks like instead.

When a contact database is still the right tool

None of this makes Lusha, ZoomInfo or Cognism the wrong buy for everyone. Doing outbound sales into a named list of target accounts is exactly the job a broad database is built for, because you're working a fixed list on your own schedule, not waiting for a trigger event.

The same goes for building a long-term database across every industry you might place into, not just the roles open right now. Keep a database like that updated and it still has value in six months, long after any particular job ad has closed. If your BD motion is account-based rather than ad-based, a broader database beats a tool that only surfaces live job ads.

What to check before you switch between lusha competitors

Before switching between lusha competitors or adding one on top of what you already pay for, separate the coverage decision from the timing decision. They need different evidence, and buying the wrong fix wastes a quarter of credits.

For coverage: run twenty real companies from your own patch through each trial, not a vendor-supplied sample list.

For mobile accuracy: dial ten numbers across different seniority levels and count how many connect.

For verification: get the bounce and refund policy in writing before you pay.

For credits: read the current pricing page for rollover and expiry terms, because they move.

Then ask the honest question underneath all of it: are you missing contacts, or missing timing. If it's timing, none of these three tools fix it, however accurate the database.

Common questions

Is there a genuinely free alternative to Lusha?

Not a free equivalent database. Browser-based lookup tools exist that show hiring signals on a live job ad at no cost, which solves a different job than a contact database does.

How is Cognism different from Lusha in practice?

Both are database tools with different sourcing and verification processes behind the scenes. As with any lusha competitors, the only reliable answer for your market is a trial run against your own target list, not a vendor comparison page.

Do unused credits roll over if I don't use them?

It varies by vendor and by plan tier, and changes over time. Confirm current rollover terms on the vendor's own pricing page before you sign, not from a review article.

Why do Lusha, ZoomInfo and Cognism all show thinner results in Australia and New Zealand than in the US?

Vendor coverage follows their customer base, and ANZ is a smaller market for all three than the US or UK. Rather than take that as a reason to rule any of them out, run the twenty-company test described above before you commit a budget to one.

If your gap is timing rather than contacts, that's worth testing directly. Rectask compared with Lusha, Apollo and ZoomInfo sets out the difference in more detail, the free Chrome extension for Seek shows the same hiring signals on any ad with no card needed, and pricing and enrichment credits is there when you want to see what a job-ad-based tool costs next to a contact database.