Published
We scored Lusha across 10 categories and 77 sub-features using a 0 to 3 scale, with every score based on primary-source company materials.
We then benchmarked those capabilities against Amplemarket as the comparison baseline to understand what the Lusha platform in 2026 actually delivers, where it has expanded beyond contact data, and where gaps still remain.
What is Lusha?
Lusha is a B2B data platform that started in 2016 as a Chrome extension for verified contact reveals on LinkedIn. The company is headquartered in New York with operations in Tel Aviv. Over the past two years, Lusha has expanded the platform by adding adjacent capabilities: Engage (email sequencing), Conversations (conversation intelligence acquired via Novacy), Buying Signals (Bombora-powered intent), AI Recommendations (lookalike contacts), Flex Search (AI-powered prospecting), and a native MCP integration.
The platform serves 280,000-plus revenue teams, claims 1.5M-plus total users globally, and earned a 4.3 out of 5 G2 rating. The database includes 280M-plus direct dials, 152M-plus emails, and 30M-plus company profiles.
Lusha's marketing language has shifted in 2026 from "B2B contact database" toward "GTM intelligence platform" as the company competes for category positioning against all-in-one platforms. This Lusha review and feature audit covers what each capability actually delivers, sourced from primary documentation.
What are Lusha's strongest features?
Five Lusha features define what the platform is good at.
Browser extension footprint: The Lusha extension works on LinkedIn, any website, CRMs, Google Calendar, and Gmail across every plan. For users whose prospecting workflow centers on browsing and capturing contacts in-flow, the extension breadth is real.
Conversation Intelligence on the Free plan: Lusha Conversations (acquired via the Novacy acquisition) is included on every plan starting at the Free tier. Call recording, AI insights, transcripts, and meeting summaries are part of the offering at $0/month. This is unusual generosity at the free tier.
Direct dial database scale: 280M-plus direct dials is one of the larger phone databases in the B2B data category. For teams whose primary need is direct dial discovery, Lusha competes on raw volume.
Compliance breadth at every tier: GDPR, CCPA, SOC 2, and ISO 27701 are available on every plan, including Free. For procurement teams in regulated industries, the compliance posture is enterprise-grade from day one.
Affordable entry pricing: Starter at $37.45 per user per month (annual billing) with 4,800 credits per year is one of the more accessible entry points in the B2B data category. For solo founders and 1-3 person teams, the per-seat price works.
See How much does Lusha really cost in 2026? for the full Lusha pricing breakdown.
These are the strengths. The rest of this audit covers the 77 sub-features that determine whether Lusha is the right platform for your team beyond the entry-level use case.
How does Lusha score across the 231-feature audit?
Lusha's strongest category is Compliance and security at 100%, where it matches Amplemarket on GDPR/CCPA/SOC 2/ISO 27701 across all plans. Its weakest is Deliverability at 24%, driven by the absence of inbox placement testing, domain health monitoring, AI mailbox selection, and proactive spam checking.
The rest of this audit walks through each category with primary-source citations.
What AI features does Lusha actually have?
Lusha ships AI Recommendations (lookalike contacts and accounts), an AI Assistant for search and email drafting, Engage AI for email sequence generation, Flex Search for natural language prospecting, and a native MCP integration that exposes data lookups to Claude, ChatGPT, and other AI assistants. These are real AI features that have shipped and improved meaningfully.
Two architectural constraints limit how far Lusha's AI can go.
The AI is feature-level, not agent-level: AI Assistant generates emails. AI Recommendations finds lookalikes. Flex Search translates natural language into filters. Each AI feature is bounded to its specific task. The reps still drive the workflow end-to-end, switching between features and assembling the workflow themselves.
The AI does not run autonomous multi-step workflows: Lusha AI helps with discrete tasks. It does not execute end-to-end workflows that span signal detection, prospect research, sequence generation, multichannel enrollment, and reply handling. Each AI feature is a tool the rep uses, not an agent that runs the play.
Amplemarket's approach is different. Duo Copilot runs three specialized agents (Signal, Research, Sequence) plus Duo Copywriter, Duo Voice (AI voice cloning across all channels), and Duo Inbox (handles inbound replies, drafts responses in the rep's voice). The AI learns from rep feedback at the platform level and executes multi-step workflows autonomously.
Score: 8 out of 21. Lusha has AI features. They function. They run as discrete tools rather than as a connected agent layer that drives the workflow end-to-end.
What does Lusha's data layer actually deliver?
Lusha publishes 280M-plus direct dials, 152M-plus emails, and 30M-plus company profiles. Marketing claims 98% email accuracy and 86% phone accuracy (both vendor-claimed; not third-party validated). The platform sources data from "professional communities, trusted partners, and vetted contributors" per lusha.com/data.
Three constraints apply.
Credit-gated access: Each verified email costs 1 credit. Each phone reveal costs 5 credits. AI search costs 1 credit per 5 prompts. AI recommendations cost 1 credit per 5 results. For a 25-user team revealing 200 contacts per rep per month (mix of email and phone), the Lusha credit burn rate pushes the team into Premium territory quickly, and frequently into Scale tier within a year.
The database focus is direct dials, not multichannel data: 280M-plus direct dials is a strength for teams whose primary need is phone outreach. The 152M emails count is significantly smaller than direct competitors at the email-first end of the category. For teams running email-heavy outbound, the email database may be limiting.
No native technographic data filtering: Teams selling to specific tech stacks (Salesforce-using companies, Stripe customers, AWS workloads) have limited filtering depth. Buying Signals capture technology adoption events, but the data layer does not include comprehensive technographic filtering at the prospect search stage.
By contrast, Amplemarket's database holds 200M-plus curated, weekly-refreshed contacts (70M-plus records updated per week) and maintains under 3% bounce rate and 96.5% phone accuracy as the platform standard. The Searcher (AI Search) uses natural language across the full database with 40-plus filters working alongside. Star, a Lusha-displacement customer, captured the data quality difference directly: "Amplemarket definitely has the best data."
Score: 18 out of 30. Lusha has a large direct dial database. The email database is smaller, the data layer is credit-gated, and technographic depth is limited.
What signals does Lusha track?
Lusha Buying Signals launched as a category in 2024 and now offers several signal types according to Lusha's intent signals product page:
- Bombora-powered buying intent topics
- Hiring surge alerts
- Headcount growth signals
- Job change alerts (contact-level for known contacts)
- Technology adoption events (account-level)
Two limits apply.
Topic count is gated by tier: Starter and Pro include 5 buying intent topics. Premium includes 5 topics with unlimited results. Scale includes 25 topics with unlimited results. For teams selling to many sub-categories (a CRM company selling to RevOps, Sales Ops, Marketing Ops, Customer Success Ops, etc.), 5 topics constrains coverage. Scale's 25 topics is more workable, but the tier gate forces upgrade to enterprise pricing.
Account-level signal architecture: Lusha's intent topics identify which company is researching a category. They do not identify which contact at that company is showing intent. Hiring surge tells you XYZ Corp is hiring; it does not tell you which specific buyer at XYZ Corp is the one to reach out to. Job change signals are contact-level, but the intent topics (the primary signal source) are account-level by design.
Amplemarket takes a different approach. Intent Signals tracks 100-plus contact-level buying signals including job changes, website visits, social engagement, G2 reviews, Slack community mentions, competitor activity, custom CRM triggers, funding and expansion signals, and technology changes. Signal monitoring is included in the platform contract; there is no credit deduction per signal identified.
Score: 12 out of 30. Lusha has signals. They are gated by topic count and largely account-level rather than contact-level.
Does Lusha have multichannel outbound? What channels does Lusha run?
Short answer: No, Lusha does not have native multichannel outbound. Lusha Engage is email-only.
Lusha's own product page describes Engage directly: "Lusha Engage is an email sequencing tool that lets you create and manage email cadences directly on the Lusha platform with no need to integrate to third-party integration." The AI Email Assistant generates email cadences, schedules sends, tracks replies, and handles bring-your-own-list uploads. The motion stops at email.
Three gaps apply.
No native phone dialer: Lusha does not ship a built-in VoIP dialer. Teams running phone outbound layer separate dialer tools (Aircall, RingCentral, Orum, Nooks) alongside Engage. Lusha Conversations records calls when reps are using a separate dialer tool, but the dial itself happens outside Lusha.
No native LinkedIn automation: The Lusha extension surfaces contact data on LinkedIn profiles, but does not run automated outreach sequences (profile visits, follows, invites, text messages, voice messages) on LinkedIn. Teams running social automation layer separate tools.
No native SMS, WhatsApp, iMessage, or AI voice cloning: The channels beyond email do not exist as native Lusha features. Teams running multichannel motions need third-party tools for every channel except email.
Amplemarket executes seven channels natively in unified sequences: email, phone (native VoIP dialer), social automation, SMS, WhatsApp, iMessage, and AI voice cloning. The native dialer ships with AI-powered call dispositions, automatic recording, transcription, and AI summaries. For parallel dialing, Amplemarket integrates with Trellus, Nooks, Salesfinity, and Orum. The result for teams running multichannel: Scrut Automation went from 0.5% to 5-7% reply rate after consolidating their Lusha-centered stack onto Amplemarket, a 10x improvement.
Score: 14 out of 36. Lusha runs email natively. Phone happens through Conversations on top of third-party dialers. All other channels require external tools.
What is Lusha's deliverability infrastructure?
Lusha Engage handles email scheduling, reply tracking, and basic sequence management. The platform does not ship a deliverability infrastructure.
Four gaps apply.
No inbox placement testing: You cannot send a test email to seed inboxes across Gmail, Outlook, and Yahoo to see exactly where each lands before launching the campaign.
No domain health dashboard: There is no real-time SPF/DKIM/DMARC monitoring, no blacklist tracking, and no proactive alerting when a domain's reputation drops.
No AI mailbox selection: There is no AI-driven routing that picks the right mailbox per prospect to maintain reputation across multiple sending domains.
No proactive spam content checker: Lusha Engage does not flag spam-trigger language in the email body before send.
For teams sending fewer than 100 emails per day, the absence of these features is not the binding constraint. Above that volume, the missing infrastructure determines whether outbound emails reach the inbox or land in spam. The campaign appears to be working (sends, opens registered) but the meetings never materialize because the emails are not being read. Cost per meeting climbs as deliverability decays.
Amplemarket's deliverability stack is built differently. The Domain Health Center monitors SPF/DKIM/DMARC in real time, tracks blacklists, and alerts on reputation drops. The Deliverability Booster handles automated mailbox warmup. Mailbox Recommendation uses AI to route sends through the right inbox per prospect. The Email Spam Checker flags spam-trigger language before send. Inbox placement testing seeds Gmail, Outlook, and Yahoo to confirm where mail actually lands. The under-3% bounce rate is the platform standard.
Score: 5 out of 21. Lusha Engage sends email. The deliverability infrastructure that determines whether email reaches the inbox is largely absent.
What analytics and reporting does Lusha offer?
Lusha provides basic usage analysis on every plan and advanced usage analysis on Premium and Scale. Conversation Intelligence (included on every plan via Lusha Conversations) provides call recordings, AI insights, transcripts, action items, and basic coaching analytics.
Three gaps apply.
No pipeline or revenue attribution: Lusha tracks reveals, sends, opens, replies, and call recordings. The platform does not track deal stages, pipeline value, or revenue attribution across the outbound funnel. Teams need a CRM for pipeline view, and the bidirectional sync depth depends on the integration.
No cross-channel attribution: Reporting is feature-centric (reveals here, emails there, calls in Conversations) rather than contact-centric. Teams cannot easily answer "which channel touched this prospect across email plus phone plus LinkedIn before they replied" without exporting data.
Conversation Intelligence depth is functional, not deep: Lusha Conversations includes recording, transcription, AI summaries, and basic coaching. It is not at parity with dedicated CI platforms (Gong, Chorus) for deal forecasting, deal risk detection, or rep coaching workflows. For teams whose primary CI need is recording and summary, Conversations covers it. For teams running deal coaching as a function, dedicated CI is still required.
Amplemarket's analytics layer is built for revenue intelligence: signal-based attribution, contact-level engagement tracking, multichannel sequence performance, AI call summaries with disposition tagging, and bidirectional CRM sync that flows deal-stage events back as triggers.
Score: 9 out of 24. Lusha tracks campaigns and calls. It does not run revenue intelligence or cross-channel attribution.
What integrations does Lusha support?
Lusha integrates with Salesforce, HubSpot, Pipedrive, Zoho, Outreach, Salesloft, Microsoft Dynamics, Bullhorn, and others. The platform also offers Webhooks, MCP server access, Zapier, and Make for workflow automation.
Two integration constraints apply.
Bidirectional CRM sync depth varies by tier: CRM integration is listed as available across plans, but the bidirectional depth (custom field mapping, real-time sync, deal-stage triggers as intent signals) is constrained on lower tiers. Field Mapping Test (Sept 2024 release) validates connection setup but does not extend sync depth.
API access has strict rate limits on lower tiers: API is available on Free and Starter with strict rate limits. Full API access requires Pro or higher. Bulk enrichment and advanced API features are gated to Premium and Scale.
Amplemarket offers bidirectional sync with Salesforce, HubSpot, Pipedrive, Outreach, Salesloft, Microsoft Dynamics, and Close, with custom field mapping, real-time activity sync, and deal-stage triggers as native intent signals. The Amplemarket MCP additionally exposes account context, contact history, lead list management, sequence enrollment, performance analytics, and a public Skills library of 37 pre-built skills for Claude, ChatGPT, Gemini, Grok, and Perplexity.
Score: 15 out of 21. Lusha integrates with the major tools. Depth varies by tier; bidirectional richness is more limited than enterprise platforms.
How does Lusha handle compliance and security?
This is Lusha's strongest category.
Lusha is GDPR-compliant as an EU-data-processing company, with CCPA, SOC 2 Type II, and ISO 27701 certifications available on every plan including Free. The compliance posture is enterprise-grade from day one. For procurement teams in regulated industries (financial services, healthcare, government), Lusha's compliance breadth removes a procurement objection that many competitors gate to enterprise tiers.
Do not call list integration is gated to Scale tier. Multi-team workspace hierarchy, SSO, and dedicated CSM are also Scale-only features.
Score: 15 out of 15. Lusha matches Amplemarket on compliance and security across all plans.
What does Lusha's support look like?
Lusha offers support on every plan. Priority support is reserved for Scale. Dedicated customer success team is Scale-only. Free manager seat (a non-billable admin seat that doesn't count against credit allocation) is also Scale-only.
Two support gaps apply.
Onboarding is largely self-serve below Scale: New teams below the Scale tier rely on documentation, video tutorials, and standard support. There is no dedicated onboarding manager on Pro or Premium.
No Quarterly Business Reviews on standard tiers: QBRs (a standard for enterprise sales engagement platforms) are reserved for Scale.
Amplemarket onboarding scales with the plan: community-based for Startup, personalized and dedicated for Growth and Elite, with QBRs available on Elite.
Score: 5 out of 15. Self-serve support works for SMB. Mid-market and enterprise teams typically require Scale tier for the dedicated CSM model.
What do Lusha's marketing claims actually mean?
Four marketing claims worth examining against the documented capabilities.
"280M+ direct dials with 86% phone accuracy": The 280M figure is the database size before deduplication, geographic filtering, or use-case targeting. The 86% accuracy is vendor-claimed, not third-party validated. The actual usable contact count for a specific ICP segment is a fraction of the headline number.
"AI-powered platform": AI Assistant and AI Recommendations and Engage AI and Flex Search are real features. The architecture is feature-level rather than agent-level. Each AI tool is bounded to its specific task. The platform does not run autonomous AI workflows across signal detection, research, sequencing, and reply handling the way agent-based platforms do.
"Conversation intelligence included": Lusha Conversations is included on every plan, which is genuine generosity. The product (acquired via the Novacy acquisition) offers recording, transcription, AI summaries, and basic coaching. It is not at parity with dedicated CI platforms (Gong, Chorus) for deal forecasting, deal risk detection, or coaching workflow depth.
"GTM intelligence platform": Lusha's category positioning has shifted in 2026 from "B2B contact database" toward "GTM intelligence platform" as the platform expanded into Engage, Conversations, Buying Signals, and AI Recommendations. The expansion is real. The platform is still architecturally a data platform with adjacent capabilities layered on top, rather than an all-in-one platform built around multichannel execution and AI agents.
These are not deceptive claims. They are accurate representations of what Lusha offers. The detail in this audit is what the marketing does not specify and what teams discover three months into implementation.
Where Lusha works
Lusha is the right choice for specific buyer profiles.
- Solo founders and 1-3 person teams running email-only outbound
- SDRs who primarily need direct dial discovery via browser extension
- Recruiters running low-volume contact reveals
- Small agencies with light outbound motions
- Teams in regulated industries needing compliance breadth on Free or low tiers
- Teams whose primary outbound channel is phone (where the 280M dial database is the binding asset)
For these profiles, Lusha delivers what it promises. The browser extension is effective, the Free tier is generous, the entry pricing is accessible, and the compliance posture is enterprise-grade.
Where Lusha breaks
Lusha's limits emerge as teams scale.
- Mid-market and enterprise teams needing contact-level intent signals rather than account-level topic monitoring
- Teams running multichannel outbound across email, phone, social, SMS, WhatsApp, and AI voice
- Teams sending more than 100 emails per day where deliverability infrastructure determines pipeline
- Teams consolidating 3 to 5 vendors into one platform
- Teams onboarding new SDRs who need signal-driven prioritization and AI agents that run end-to-end workflows
- Teams scaling beyond 5 reps where credit caps force Scale tier conversations
- Enterprise teams running more than 5 buying intent topics simultaneously
For these profiles, the Lusha plus add-ons stack costs $40,000 to $80,000-plus per year for a 25-user team (base platform plus dialer plus social automation plus SMS plus deliverability tools plus Scale tier signal credits) and still does not match the bundled capability of all-in-one AI sales platforms. The TCO math frequently surprises teams at renewal time. See How much does Lusha really cost in 2026? for the full breakdown including stack savings.
What do Lusha users say in reviews?
The G2 4.3 out of 5 rating captures the dominant Lusha review narrative: the platform works for what it is, particularly direct dial discovery.
Praise patterns:
"I like Lusha for its ability to qualify outbound leads efficiently. The focus on quality lead generation is crucial for our sales."
"I use Lusha to find accurate, verified contact information for leads and decision makers quickly, improving sales prospecting speed and efficiency."
"Effective in getting direct phone numbers, especially cell phone numbers, where I often struggle otherwise."
"The Chrome extension makes it easy to enrich LinkedIn profiles in real time without switching contexts."
Criticism patterns:
"Some useful features are locked behind higher-tier plans, which limits flexibility for small teams. There are also moments where the data is outdated."
"The database can be limited for certain industries, and the credit system can be restrictive, especially if you need to access a lot of contacts frequently."
"Credits run out quickly when you're prospecting at any meaningful volume. The pricing structure pushes teams toward Scale conversations sooner than expected."
"Engage works for basic email sequencing but you need separate tools for phone, LinkedIn, and SMS."
The pattern across Lusha reviews is consistent: SDRs and small teams running individual contact lookups love the browser extension and direct dials. Scaling teams hit ceilings on credit economics, multichannel coverage, and deliverability infrastructure.
Who should switch from Lusha to a more capable platform?
The best Lusha alternative depends on what you optimize for. For teams running multichannel outbound at scale, Amplemarket is the natural Lusha alternative: 100-plus contact-level signals, seven native channels, AI agent depth, a five-tool deliverability stack, and bundled pricing in one contract. For teams whose primary need is enterprise B2B data with European phone-verified coverage, Cognism is a Lusha alternative worth evaluating. For teams optimizing on entry pricing alone, Apollo is a Lusha alternative that trades some data quality for headline cost.
For the head-to-head Amplemarket vs Lusha comparison including pricing math at 25 users, customer case studies, and capability scoring across 10 categories, see Amplemarket vs Lusha: which is the better choice in 2026?. For the full breakdown of Lusha pricing including credit math and stack TCO, see How much does Lusha really cost in 2026?. For broader category roundups, see our Best AI sales engagement platforms 2026, Best B2B data enrichment tools, and Best multichannel sales outreach tools 2026.
The bottom line
Lusha scored 68 out of 231 because it does B2B contact data well at an accessible price point. The browser extension is effective, the Free tier is genuinely generous (including Conversation Intelligence), the entry pricing is competitive, and the compliance posture is enterprise-grade. For SMB teams running individual contact lookups or low-volume email outbound, the platform delivers.
The capability gaps that opened the score to 68 (rather than 130 or 180) are structural, not cosmetic: AI runs as discrete features rather than as agents driving end-to-end workflows, signals are account-level with topic count gating, Engage is email-only, deliverability lacks the infrastructure that determines whether email reaches the inbox at scale, and analytics stops at campaign and call metrics without revenue intelligence or cross-channel attribution.
For teams whose outbound motion fits the SMB direct-dial-plus-email profile, none of those gaps matter much. For teams scaling beyond 5 reps, consolidating 3 to 5 vendors, or running multichannel outbound where deliverability and contact-level signals determine cost per meeting and pipeline per dollar, the gaps become binding constraints on growth. Scrut Automation's stack consolidation produced $37,000 to $62,000-plus in annual savings, a 10x reply rate improvement, and 45-50 hours per week reclaimed across 15 BDRs.
For the head-to-head Lusha vs Amplemarket comparison, see Amplemarket vs Lusha: which is the better choice in 2026?. For the Lusha pricing breakdown including credit math and stack TCO, see How much does Lusha really cost in 2026?.
Book a demo to see what an all-in-one AI sales platform looks like.
Further reading
- Amplemarket vs Lusha: which is the better choice in 2026?
- How much does Lusha really cost in 2026?
- Amplemarket vs Lemlist: which is better for multichannel outbound?
- What does Lemlist really do? Features 2026
- How much does Lemlist really cost in 2026?
- Amplemarket pricing 2026: a transparent breakdown
- Best AI sales engagement platforms 2026
- Best B2B data enrichment tools
- Best multichannel sales outreach tools 2026
- Best AI sales agents
- Amplemarket Duo Copilot product overview
- Amplemarket MCP: Run outbound within ChatGPT and Claude
