Choosing between ZoomInfo and Lusha? We've broken down the key differences to help you decide which tool is right for your workflow.
Lusha
Lusha wins. 7.7/10 vs 5.9/10. Both tools sell B2B contact data. Only one lets you test that data before signing anything.
For solo founders and teams under 10: Lusha, free plan, no credit card, no sales call, cancel anytime
Lusha strongest at: LinkedIn Chrome Extension delivers verified direct dials in 30 seconds, 86% phone accuracy
ZoomInfo strongest at: Enterprise org chart depth and AI account intelligence for 10+ rep sales teams
Price gap: Lusha starts free, ZoomInfo starts at $15,000/year with a signed annual contract
Start here: Sign up for Lusha free, install the Extension, check 10 LinkedIn profiles in your target market
Lusha's Chrome Extension compresses 15 minutes of contact research into 30 seconds per prospect. The 280M+ database hits 98% email deliverability and 86% phone accuracy. The credit pricing is one of the most transparent in the category: 1 credit per email, 10 per phone, shown before every reveal. The free plan gives you 70 credits a month with no credit card, and unused credits roll over.
ZoomInfo's data is deeper for a specific use case: cold-calling large enterprise accounts where you need verified direct dials across complex org structures at scale. That advantage is real. But it's packaged with a $15,000/year annual contract, a sales call before you see anything, and a 60 to 90 day written cancellation window. Miss that window and you're locked in for another full year automatically. For a solo founder whose revenue fluctuates and who needs to be able to cut costs in a slow quarter, that structure creates more risk than the data quality advantage can offset.
Test Lusha's free plan on your target market first. If the database coverage holds up, the ZoomInfo contract math is very hard to justify.
The primary use case is outbound sales prospecting. A sales rep defines their ideal customer profile, uses ZoomInfo's filters to build a targeted list of companies and contacts, exports verified contact data, and reaches out. The platform reduces the time spent manually researching leads and increases the accuracy of contact information relative to manual list-building.
A second use case is account-based marketing (ABM). Marketing teams use ZoomInfo's intent data to identify companies that are actively researching products in their category — companies that are "in-market" — and serve them targeted ads or trigger outreach campaigns before a competitor does.
A third use case is revenue operations and data hygiene. Operations teams use ZoomInfo to enrich CRM records in real time, keeping contact data accurate as people change jobs, titles, and companies.
The newest use case is AI-driven sales execution. ZoomInfo Copilot, launched in 2024, is an AI sales agent that surfaces buying signals, generates outreach messaging, and provides deal context automatically, reducing manual research time per account.
The most common use case is finding direct contact information for B2B prospects before reaching out. A founder or sales rep identifies a target person on LinkedIn, opens the Lusha Chrome Extension, and sees their verified business email and direct phone number without leaving the page. One click sends that contact to the CRM. What used to take 15 minutes of searching takes 30 seconds.
The second use case is bulk prospecting. In the Workspace, you filter the 280M+ contact database by job title, seniority, company size, industry, location, and technology stack, then export a list of verified contacts with emails and phone numbers already attached. No manual research required.
The third use case is CRM enrichment. Lusha's enrichment feature auto-fills missing or outdated contact and company data in Salesforce or HubSpot, and keeps those records current as contacts change jobs, get promoted, or move to new companies. The official data page confirms data is refreshed daily.
The fourth use case, increasingly relevant in 2026, is signal-based outreach timing. Lusha's Buying Signals feature tracks job changes, hiring surges, funding rounds, revenue milestones, and intent signals. When a target account shows a growth signal, Lusha surfaces it so you can reach out at the right moment rather than cold-contacting a company with no active buying trigger.
The deepest and most verified B2B contact database available. Direct dial accuracy, email verification, and org chart completeness are market-leading. Coverage strongest for US-based tech, financial services, and professional services. Thinner in non-US markets and niche industries.
Identifies companies actively researching category-relevant topics based on web behavior and content consumption signals. Available on Advanced and Elite plans only. The most meaningful differentiator from cheaper contact database alternatives for ABM and timed outbound programs.
AI sales agent that prioritizes accounts dynamically, generates talking points from company updates and intent signals, and automates CRM updates. Genuinely capable. Requires Advanced or Elite plan. Full value requires Copilot Workspace configuration and a trained user.
GTM Studio builds workflows triggered by buying signals — job changes, funding rounds, technology installs, intent spikes. GTM Workspace coordinates cross-functional GTM activity. Both launched in 2025 and still maturing, but represent meaningful automation for revenue operations teams.
Call recording, transcription, and analysis. Surfaces talk patterns, objection handling, and coaching opportunities from recorded calls. A full product requiring its own onboarding and configuration investment, not a lightweight feature.
Native integrations with Salesforce and HubSpot are robust. Real-time enrichment, lead routing, and field-level sync work reliably on configured setups. Setup requires someone who understands the CRM data model — non-trivial without a revenue operations resource.
Identifies companies behind anonymous website visits and surfaces them as prospects or triggers outreach workflows. Available on Advanced and Elite plans. Contact-level identification is not available at the standard tier.
Direct reveals on LinkedIn, Sales Navigator, and any B2B site, though each reveal spends credits
Lists built from a sentence and free data columns, but AI chat and export cost credits
Over 117M numbers, but accuracy is 85% by the company's figure and coverage varies by country
26 dated signals refreshed weekly, but signal enrichment spends credits
Search and enrichment inside chat on every plan, but it can't send messages
Broad endpoints, but strict limits on Free and Starter
Sequences through Gmail or Outlook, and plan availability isn't published in the readable text
