Wiza Alternatives: Match the Replacement to Your Reason for Leaving

Two published numbers sit behind most searches for a Wiza alternative: the 2,500 export credits per month that Wiza's help center applies to bulk lists on annual plans, and the 500 contact reveals per 24 hours it enforces on unlimited accounts. Those are different constraints with different fixes, and a replacement chosen without knowing which one bit you tends to reproduce the problem at a different price.

This page is a decision framework rather than a ranked list. Every vendor in this category publishes a coverage claim, none of those claims are comparable between lists, and a table of ten of them would be less useful than knowing which class of tool your actual reason points at. For what Wiza does, see our walkthrough. For its pricing and limits in detail, see our Wiza review.

Start with the reason, not the shortlist

Five reasons account for nearly every switch out of a LinkedIn export tool, and they resolve in four different directions.

Which of these is actually your problem

• ~Depends: You keep hitting a monthly bulk export ceiling
• ~Depends: You pay for rows that come back with no contactable address
• ~Depends: You do not have Sales Navigator, or you are sourcing outside LinkedIn
• ~Depends: You need programmatic access with pricing published before you commit
• ~Depends: Coverage is weak on your specific geography, seniority or company size

A monthly ceiling is a throughput problem, and swapping one extension for another moves the number without changing the shape. The fix is usually a stack rather than a tool.

Paying for rows rather than results is a meter problem. Export-credit models charge per person returned, and credit models that charge per address found do not. Match the meter to how sparse your lists are and this one disappears.

Working without Sales Navigator eliminates a whole class of replacement outright. The Sales Navigator export specialists are built on top of a LinkedIn search, and at least one states the dependency plainly: Evaboot's pricing page FAQ says "You need a Sales Navigator account to use Evaboot" and that it does not work on the free LinkedIn version or on LinkedIn Recruiter. If LinkedIn is not your source, you need a database, not an exporter.

Needing an API with published pricing narrows the field fast. Wiza's own API page directs visitors to "Book a call to discuss API pricing" rather than publishing a rate, which is common in this category and is worth checking before you build against anything.

Coverage on your segment is the one reason no article can answer for you, including this one. It is settled by a bake-off, covered below.

The three classes of replacement

Sales Navigator exportersClosest like for like

• Turn a LinkedIn search into structured rows fast
• Usually require a Sales Navigator seat
• Bounded by the same LinkedIn page limits as Wiza
• Credit models vary widely between per-row and per-result

General contact databasesSource independent

• Search without touching LinkedIn at all
• Published per-credit pricing is easy to compare
• Records are cached, so job changes are the failure mode
• Often bundle sending features you should not use

Assemble your own waterfallMost work, best economics at volume

• Source rows separately from resolving addresses
• Only pay each provider for rows the previous one missed
• Requires you to own verification and list hygiene
• Wins as row counts climb, loses on small lists

The third class is the one most switchers underrate, because it looks like more work and is mostly more configuration. A waterfall runs providers in sequence, stops at the first success, and pays each stage only for what the stage above it failed to resolve. The cost argument behind that ordering is set out in our waterfall enrichment guide. The stack we run is MillionVerifier brute-force, then Prospeo, then Findymail, with no fourth paid stage. Sourcing stays separate from sending in every case, which is the rule that stops a data vendor quietly becoming your mail server.

What we actually verified

Rather than publish ten rows of numbers we could not stand behind, here is what we retrieved from vendors' own pricing pages, with the caveats attached.

Evaboot's page is worth reading closely because its credit table makes the meter explicit in a way most competitors do not: it states that one lead with a verified email costs 2 credits, and translates 100 credits into "50 leads with verified emails OR 100 leads or accounts exported OR 100 emails found + verified OR 200 emails verified". It also states that unused credits roll over while the subscription is active, that it imposes its own daily export limit to keep users inside LinkedIn's limitations, and that it "doesn't use databases and only provides professional emails" because the data is extracted live.

Four other vendors were checked and are deliberately absent from that table. Findymail's pricing page returned HTTP 403 to our fetch. PhantomBuster's returned a page too small to contain pricing. Prospeo's rendered no price into its HTML at all. Hunter's served our fetch in pounds sterling rather than dollars, which makes any figure we quoted misleading for a US reader. A price we could not retrieve from the source is a price we will not publish, and none of those four results says anything about whether the vendor is any good.

For general-database economics with figures we have already published and stand behind, our Apollo alternatives comparison covers the class in more depth than a single row here could.

What switching does not fix

One constraint travels with you regardless of which exporter you choose, and it catches people who assumed the ceiling was the vendor's.

LinkedIn's pagination sets the size of any single export. Wiza's help center states that a standard Sales Navigator people search exposes up to 100 pages, "which is normally 2,500 people", that Connections-of searches expose 40 pages or roughly 1,000, and that Recruiter and company searches use the same 40-page limit. It then says the quiet part directly: "Wiza can create a list only from the result pages that LinkedIn makes available. We cannot retrieve results beyond LinkedIn's limit."

Any tool reading the same result pages inherits the same ceiling. A competitor advertising bigger exports is either segmenting the search for you behind the scenes, which you can do yourself, or reading a database rather than a live search, which is a different product with different freshness characteristics. Neither is better by default, and knowing which one you are buying matters more than the headline number.

Settle coverage with a bake-off, not a listicle

Coverage varies by geography, seniority, company size and how recently people changed jobs, so no published percentage transfers to your list. The test that gives a real answer in an afternoon is set out in our guide to email finder tools, and three details decide whether yours is worth anything.

Use the same rows for every candidate. A list re-sampled between tests is a different list, and the difference will read as a coverage gap.

Run them on the same day. Contact data decays continuously, so a two-week gap between the incumbent and the challenger quietly favours whichever went second.

Score on cost per correct address, not hit rate. An address that is deliverable but belongs to somebody at a company the person left costs you a prospect, where a miss costs you a credit. That failure mode is invisible to verification, which is why it needs its own check against the profile you sourced the row from.

Run a paid trial on both sides before cancelling anything. Comparing a challenger's trial against an incumbent's remembered performance is not a comparison.

The scoring detail people skip is record matching: checking that the address a provider returned belongs to the person on the profile the row came from, rather than to a namesake or to the same person at a previous employer. Take fifty rows from each provider's output, open the source profile beside the returned domain, and count how many pairs you can positively justify. That number moves between providers far more than headline coverage does, and it is the one that decides whether a campaign lands with the people you targeted. Cached-database vendors and live-resolution vendors fail this differently, which is exactly why the check has to happen on your rows rather than in a review.

Moving without breaking anything

1. Step 1Overlap the two

   Keep the incumbent subscription live while the challenger runs its first full cycle.

2. Step 2Send from both

   Judge on rows that reached real inboxes, not on a resolved-count in a CSV.

3. Step 3Re-verify the backlog

   Anything sitting in a file for weeks gets verified again rather than trusted.

4. Step 4Export before cancelling

   Stored lists and credit balances rarely survive a downgrade.

Once the decision is made, the switch itself is mostly hygiene. Keep the incumbent live until the challenger has produced a full cycle of rows you have actually sent to, because a coverage difference that looks small on a sample is expensive at volume. Re-verify anything that has been sitting in a CSV for more than a few weeks rather than trusting the verdict the old tool attached to it. And export your historical rows before you cancel, because credit balances and stored lists rarely survive a downgrade. The wider checklist for changing tools without losing deliverability is in our cold email tool migration guide.

The short version

Diagnose the constraint before shortlisting. A monthly export ceiling points at a waterfall, a per-row meter on sparse lists points at a per-result meter, no Sales Navigator seat rules out the exporter class entirely, and an API requirement rules out anyone who will not publish a rate. Coverage is the only question left after that, and it is settled on your own rows in an afternoon rather than by anybody's comparison table. LinkedIn's page limits follow you to every exporter you try.

If you would rather see the whole motion running on your own ICP before committing to any of it, start a free campaign and we will build the list, the copy and the sending infrastructure around it.

Pricing and features verified as of August 2026. Verify current terms with the vendor before relying on them.