Wiza vs Lusha in 2026: Which Tool Is Right for Your Team?

Wiza wins on simplicity and price for small teams; Lusha wins on phone data and enterprise security.

But every comparison you've read treats them as interchangeable and buries the actual cost math so you can't tell which one fits your team size or budget without a spreadsheet and a sales call.

This article flips that. We've calculated the true annual cost of scaling each tool at 1,000, 5,000, and 10,000 monthly searches, mapped their integration footprints, and anchored every verdict to a specific use case: SMB sales teams, multi-client agencies, and enterprise procurement.

You'll get an honest pick not a feature list that hedges both ways.

Wiza vs Lusha: What's the Core Difference?

Wiza is a LinkedIn-scrape tool; Lusha is a proprietary B2B database.

That single architectural difference drives every tradeoff in accuracy, phone coverage, and pricing covered below.

How Each Tool Sources Contact Data

Wiza scrapes LinkedIn Sales Navigator directly through a Chrome extension. You run a search in Sales Navigator, hit the extension, and pull names, emails, and titles in seconds.

Lusha works differently: Lusha built its own proprietary B2B database. Instead of scraping in real-time, Lusha enriches pre-built records and serves results based on company data and historical signals LinkedIn doesn't expose.

It's a fundamental split. Wiza shows you who's on LinkedIn right now that matches your criteria.

Lusha shows you pre-assembled records sometimes with phone numbers and company intel LinkedIn keeps hidden.

For more context on how different platforms source and enrich data, see our guide to B2B data providers.

Feature & Pricing Snapshot Table

Both have browser extensions and CSV export. The real tradeoff: Wiza gives you fresh snapshots; Lusha gives you breadth.

How Does Data Accuracy & Freshness Compare Between Wiza and Lusha?

Wiza delivers more consistent email accuracy (8–15% bounce); Lusha offers broader coverage but higher variability, especially on large batches. Both tools degrade at the same rate as B2B data decays.

Email Accuracy: What Users Actually Report

Both Wiza and Lusha claim high email match rates. But when you read the G2 and Capterra reviews, the picture gets messier.

Wiza users report bounce rates between 8–15%. Lusha users cite similar ranges, though some hit 20% on bigger batches.

The difference matters because B2B data decays significantly over time—neither tool's single refresh cycle catches that natural decay. If you export quarterly or semi-annually, you'll see the drift compound.

Both tools live or die by your search criteria and target company size. Garbage in, garbage out.

Phone Number Coverage: Wiza vs Lusha

Phone enrichment matters because very few LinkedIn members expose a phone number on their profile. Both tools pull phone data from third-party B2B sources—not LinkedIn itself.

Wiza reports phone match rates between 40–60% depending on seniority and geography. Lusha's comparable, though some users see stronger depth in specific verticals (tech and SaaS especially).

Neither Wiza nor Lusha guarantees phone number accuracy at the same level they do email

Phone data decays faster as roles and direct lines change.

Treat phone enrichment as a secondary enhancement, not your primary export goal.

Data Validation Mechanisms Side-by-Side

Wiza performs real-time verification on exported emails. Unverified addresses get flagged in a dedicated column, so you can filter before outreach and cut bounce risk.

Lusha validates in batch after enrichment. Unverified contacts don't get the same clean separation.

A confidence score is a numeric certainty rating Lusha attaches to each enriched data field, indicating how likely that value is accurate based on source agreement and recency. Lusha assigns this to each field, letting you sort by certainty—but the presentation isn't as uniform as Wiza's.

For guidance on maximizing data quality downstream, see our resource on email deliverability.

Intent Data & Buyer Signals: Where Lusha Pulls Ahead

Lusha markets intent signals as a differentiator—tracking company-level buying behavior, tech stack changes, and hiring patterns that indicate sales readiness. Wiza doesn't offer intent enrichment; it delivers what's visible on LinkedIn at the moment you export.

If your ICP centers on companies showing active buying signals, Lusha's intent layer helps you prioritize outreach. If you're prospecting based on title, company size, and geography alone, Wiza's scrape is enough.

What Does Each Tool Actually Cost at Scale in 2026?

List prices hide the real math. When we add per-seat minimums, credit rollover policies, and overage rates, the true cost of scaling a data export program swings wildly between tools.

Wiza Pricing Tiers & Credit Logic

A credit-pool model means all seats on a plan draw from one shared monthly credit bucket rather than each seat getting its own isolated allowance—so high-volume users don't strand credits held by lighter users.

Wiza runs on this credit-pool model where our team shares a monthly allocation. Each plan tier grants fixed monthly credits, and unused credits roll over—a natural buffer against lumpy search volume.

When we burn through credits mid-month, we have two moves: pause exports until the next cycle or buy additional credits at the published overage rate. Small teams stay lean; growing teams scale without renegotiating.

Lusha Pricing Tiers & Credit Logic

Lusha charges per seat, minimum 5 seats even if we're a team of 3. Each seat gets monthly credits, but they don't roll over—anything unused expires at month-end.

This per-seat model locks in fixed costs regardless of whether everyone searches. A 3-person team pays for 5 seats.

A 10-person team pays 10× the per-seat rate plus overages.

Credit Caps & "Unlimited" Plan Limits

Wiza's "unlimited" tiers have hidden throttles. Some plans advertise unlimited exports but cap daily or weekly credit usage to prevent abuse, which means your team can still hit a wall mid-month if you spike usage.

Lusha's enterprise plans impose similar soft caps on daily enrichment volumes. Neither tool's "unlimited" label means unbounded usage—always confirm the throttle thresholds before signing.

True Cost of Scale: Annual Cost at 1K, 5K, and 10K Monthly Searches

Here's what a 5-seat team actually spends across three usage levels. Numbers include per-seat charges, overage rates at each tier, and credit rollover assumptions. These figures are illustrative estimates based on published pricing tiers and typical usage patterns—verify current rates directly with each vendor before budgeting.

At 1,000 and 5,000 monthly searches, Lusha's seat minimum and expired credits create a 2× multiplier. Scale to 10,000 searches per month and Wiza's overage rates climb, but they still sit below Lusha's seat-based floor—the gap narrows to +79%.

For teams bigger than 5 seats, Lusha's per-seat math compounds. A 10-person team at 5,000 monthly searches pays roughly $16,800 annually with Lusha versus $4,200 with Wiza—a 4× difference driven entirely by headcount, not usage.

The break-even hits when our monthly search volume justifies paying Wiza's overage rates instead of upgrading tiers. Even then, Wiza's credit rollover absorbs month-to-month swings, while Lusha leaves budget wasted each month.

How Do Wiza and Lusha Integrate With Your Existing Stack?

Wiza has native connectors for Salesforce, HubSpot, and Pipedrive; Lusha covers Salesforce and HubSpot natively but requires Zapier for Pipedrive and most outreach tools.

CRM & Outreach Integration Matrix

Wiza and Lusha both connect to the major CRMs and outreach platforms you're already using. The catch: native support varies wildly.

The table below shows what's direct API versus what requires Zapier or Make.

Here's the real difference: native integrations sync faster and stay in sync. Automation through Zapier or Make bridges gaps, but you're trading speed and maintenance overhead for flexibility.

Your CRM isn't listed? That's what Zapier and Make are for—they'll wire it together.

Just know what you're paying in latency.

Wiza: Is the Chrome Extension Worth Installing?

Wiza.co is the official domain for Wiza's Chrome extension and web app. The extension installs in seconds and lives in your browser toolbar, adding export buttons directly into LinkedIn Sales Navigator search results.

How the Wiza Chrome Extension Works

You run a search in Sales Navigator, and Wiza's extension adds an "Export" button at the top of your results page. Click it, and Wiza scrapes the visible profiles in real-time—pulling names, emails, job titles, and LinkedIn URLs into a downloadable CSV.

The extension doesn't require a separate login if you're already signed into Wiza's web app. Your monthly credit pool syncs automatically, so every export deducts credits in real-time.

Wiza Chrome Extension vs Lusha's On-Page Enrichment

Lusha's Chrome extension enriches individual LinkedIn profiles as you browse. Open a prospect's profile, and Lusha overlays email, phone, and company data directly on the page—no CSV export step required.

Wiza's extension targets bulk exports from search-result pages. If you're prospecting one profile at a time, Lusha's on-page enrichment is faster. If you're building multi-hundred-contact lists weekly, Wiza's batch export workflow wins.

Neither extension replaces a dedicated Sales Navigator CSV export tool. Both tools require you to stay inside LinkedIn's UI—you can't export saved lead lists or bulk-process searches offline. That's where a tool like Evaboot fits: it adds a native export button to Sales Navigator's saved lists, letting you pull cleaned CSVs in one click without browser tabs.

How Wiza and Lusha Compare to ZoomInfo and Apollo

Wiza and Lusha sit in a different pricing tier than ZoomInfo and Apollo. ZoomInfo and Apollo are enterprise platforms with proprietary databases, intent signals, and multi-channel sequencing built in. Wiza and Lusha are point solutions: Wiza scrapes LinkedIn; Lusha enriches contacts.

ZoomInfo vs Wiza vs Lusha: When to Use Each

ZoomInfo is the enterprise standard for deep company intelligence, intent data, and org charts. Annual contracts start at $15,000+ and scale to six figures. You get a self-contained prospecting and enrichment platform.

Apollo bundles a B2B database, email sequencer, and dialer in one tool. Pricing starts around $49/seat/month and scales with seat count and credits. It's the middle ground between Wiza's simplicity and ZoomInfo's enterprise depth.

Wiza is the lightweight LinkedIn-scrape tool. You pay per export or per credit pool, and you bring your own CRM and sequencer. It's cheaper than Apollo and far cheaper than ZoomInfo, but you're stitching together your own stack.

Lusha bridges Wiza's simplicity and Apollo's breadth. You get a proprietary database with phone enrichment and intent signals, but you still need a separate outreach tool. Pricing sits between Wiza and Apollo, with seat minimums and annual contracts at scale.

When to Skip All Four and Use a Sales Navigator Export Tool

If your workflow centers on Sales Navigator bulk lists, none of these tools solve your actual problem. Sales Navigator has no native CSV export—you can't download a saved lead list without a third-party tool.

Evaboot built an "Export" button directly into Sales Navigator so you can download cleaned lead lists in one click. Our per-export pricing and cleaning algorithm cut the manual work that slows bigger teams. No list management overhead. No back-and-forth cleanup.

Get started with Evaboot.

AI Use Cases Reshaping Wiza vs Lusha ROI in 2026

AI-driven waterfall enrichment and autonomous verification agents now change the cost math that drives tool selection.

AI Waterfall Enrichment: Chain Wiza and Lusha to Cut Costs

Unified waterfall APIs now expose per-provider fallback logic, letting teams cap Lusha's per-seat/credit spend by routing to Wiza first. You chain multiple providers (Wiza, Lusha, and others) via an API so a lead only consumes a Lusha credit if Wiza's cheaper pull misses the email or phone.

This directly attacks the cost-at-scale math this article foregrounds. Wiza handles the bulk; Lusha fills gaps and your annual spend drops by 30–50% compared to a Lusha-only contract.

AI Agents That Auto-Verify Contact Data Before Outreach

Autonomous verification agents can now re-validate enrichment exports continuously instead of relying on the vendor's single refresh cycle. An agent re-checks Wiza or Lusha exports against live signals (job change, email deliverability) and drops decayed rows before they hit the sequencer.

AI Voice Agents Dialing Lusha-Sourced Phone Numbers at Scale

Production-grade outbound voice agents in 2026 turn phone-number breadth (Lusha's edge) into automated dial volume rather than manual rep calls. Teams now pair phone enrichment output directly with outbound voice-AI dialers, which changes the ROI calculus on Lusha's phone coverage premium.

If you're running a voice-first outbound motion, Lusha's 40–60% phone match rate becomes the gating factor for campaign volume. Wiza's email-first model doesn't unlock the same scale.

Which Tool Fits Your Use Case? Segmented Verdicts for 2026

Not every sales team has the same needs. A three-person startup, a multi-client agency, and a Fortune 500 procurement office all export LinkedIn data—but for different reasons, at different scales, and with different compliance requirements.

Below is what we've learned works for each.

Best for SMB Sales Teams (Under 10 Reps)

Small teams need speed and simplicity without enterprise contract overhead. You want a tool that installs in seconds, charges per export or per seat at a flat rate, and requires zero ops setup.

We built Evaboot's Chrome extension and credit model around this reality. A team of five reps can each export a weekly lead list without negotiating volume discounts or waiting for annual renewal.

The cleaning algorithm and "No Match Reasons" column mean fewer garbage leads end up in your CRM you spend less time manually weeding. For you, export frequency matters more than advanced admin controls.

Best for Agencies Running Multi-Client Campaigns

You juggle dozens of client lists, each with separate CRM accounts, compliance rules, and delivery deadlines. Your critical need is data isolation, every client export must stay in its own silo.

No rep from Client A ever sees Client B's leads.

Evaboot's export model handles this naturally. Each export is a discrete, time-stamped CSV file.

You assign export credits to specific team members, audit which lists went out and when, and deliver cleaned CSVs directly to clients without leaking metadata or exposing workflows.

For you, the ability to re-upload and refresh old LinkedIn URLs (URL enrichment) is huge.

Stale client lists get re-validated in bulk without running the search from scratch. For managing large-scale exports, see our guide on Sales Navigator exports.

Best for Enterprise & High-Volume Procurement

You export hundreds or thousands of leads monthly. You need SSO and role-based access controls.

You're bound by GDPR, CCPA, and internal data governance policies. You negotiate annual contracts, expect dedicated account support, and want SLAs for data handling.

At this scale, your export tool has to integrate with your identity and security infrastructure. Lusha's enterprise tier includes SSO, team admin dashboards, compliance audit logs, and the option to work directly with legal on data retention and deletion policies.

For you, total cost of ownership includes training, compliance review, and integration time—not just per-export fees. An annual contract with predictable per-seat or per-export volume pricing plus dedicated support justifies the spend.

Contract flexibility to negotiate data retention windows and export quotas also matters more than it does for smaller buyers.

Which Tool Should You Pick in 2026?

Choose Wiza if…

Choose Lusha if…

Our workflow is stripped down for Sales Navigator: build your search, hit export, get a cleaned CSV with first names, last names, company names, and job titles. Add our optional email finder to reach the ~30% of first-degree connections who don't expose email on-profile.

When your Sales Navigator searches pump out dozens of list exports per month, our per-export pricing and cleaning algorithm cut the manual work that slows bigger teams. No list management overhead.

No back-and-forth cleanup. Get started with Evaboot.

The choice comes down to your core workflow and team size. If you're a small team running LinkedIn-first prospecting with monthly exports under 5,000 searches, Wiza's simplicity and low per-export cost win.

If you need phone data, enterprise security, or predictable annual pricing for a larger team, Lusha's depth and compliance infrastructure justify the higher seat-based cost.

But if your team's workflow centres on Sales Navigator bulk lists, neither tool solves your actual problem, Sales Navigator has no native CSV export.

That's why Evaboot exists: a stripped-down export tool built directly into Sales Navigator that delivers cleaned lead lists in one click, with optional email enrichment.

When your team ships dozens of list exports monthly, per-export pricing and automated cleaning cut the manual work that slows bigger teams.

Get started with Evaboot.

Frequently asked questions