--- title: Lusha review description: B2B contact data with an agent-facing surface canonical: "https://10xgtm.ai/tool/lusha" type: review category: "Data enrichment & contact data" last-verified: 2026-09-15 pricing-verified: 2026-09-15 availability: active sources: 11 --- # Lusha review The mid-market contact-data tool that just repositioned as a B2B data and intelligence layer for GTM teams and AI agents, while quietly re-tiering its pricing upward. ## The take - **Great for:** BDR/SDR teams who want **fast verified emails inside a clean UI**, and GTM engineers wiring data into agent workflows via the API and the new Claude connection. - **The catch:** **Credit math buries the real cost.** Mobile reveals cost 10x email reveals, phone accuracy runs ~70-75% NA/EU per practitioner reviews, and "Inaccurate Data" is the #2 complaint cluster on G2 (469 mentions). - **Bottom line:** G2 4.3/5 (1,668) vs Apollo's 4.7/5 (9,825) tells the story. Good enough at the low end, outgunned at scale. ## Specs - **Starting price:** $0 free tier (40 credits/mo, 1 seat); paid from Starter $37.45/user/mo annual - **Free tier:** Yes, recurring 40 credits/mo, no credit card - **Pricing model:** Credit-based tiers plus a credit-volume slider; annual = 25% off - **Best for:** SMB/mid-market outbound teams, email-first motions - **Key integrations:** CRMs, API, CSV enrichment, and a direct Claude connection (Sept 2026) - **Watch out for:** 10-credit mobile reveals, credit burn, phone accuracy, annual lock-in for the discount ## What you're actually getting Lusha is a **credit meter with a pleasant UI on top**. The 2026 repositioning is explicit: the homepage says "B2B data and intelligence layer for GTM teams and AI agents," and the top banner advertises a direct Claude connection. Lusha is racing to be the data layer agents call, beyond the browser extension reps click. The pricing page runs a **credit-volume slider** (48k/72k/96k/120k+ credits per year) that recalculates bundle prices. What buyers miss: (1) the conversion table. 1 credit per email reveal, 10 per mobile reveal, 11 for both. So "7,200 credits/year" on Pro is 7,200 emails OR 720 mobiles. (2) Credits are granted upfront annually, so burn rate is a year-long budgeting problem. (3) The free tier's 40 credits/mo is a tasting menu, not a workflow. (4) Rolling monthly credits cap at 2x the monthly cap. Treat Lusha as **email-first contact data with an agent-facing surface**, and model the credit math before you commit. ## Where it earns its keep It earns its keep on **speed and UX for email-first prospecting**. G2's praise clusters run 1,587 mentions on ease of use and 1,349 on lead generation, the strongest positives. The free tier is genuinely useful for a 200-record fill-rate test against your ICP, which practitioners recommend before buying. The **API and the new Claude connection** give GTM engineers a data layer agents can call directly, which is the 2026 differentiator versus a pure browser-extension tool. TrustRadius sits at 8.4/10 across 361 reviews, a solid mid-market signal. For an SMB or mid-market outbound team running email-first motions, the clean onboarding and the free test tier get a rep to a verified email in seconds. ## Where it'll bite you **Mobile-heavy motions burn credits 10x faster.** Every mobile reveal costs 10 credits, so a dial-target team blows through Pro tier credits by Day 7, as operator-written blogs flag. Model 10 credits per dial-target before you buy. **Phone accuracy runs ~70-75% for NA/EU contacts** per practitioner reviews. Acceptable, not exceptional. Cognism's 98% phone-verified Diamond data costs $25k+/yr for a reason, and the gap shows up on cold calls. **Capterra sits at 4.0/5 across 398 reviews**, notably below G2's 4.3. The ops-critical crowd is cooler on it. And the 2026 repricing means any blog-quoted price from before mid-2026 is wrong: third-party blogs still quoting Pro ~$36/user/mo and Premium ~$59/user/mo are stale. "Inaccurate Data" is G2's #2 complaint cluster at 469 mentions, behind only "Missing Features" at 559. ## What it costs, really Sticker, live today, billed annually: **Free $0 (40 credits/mo), Starter $37.45/user/mo (4,800 credits/yr, 1 seat), Pro $52.45 (7,200 credits/yr, 2 seats), Premium $299.95 (40,800 credits/yr, 5 seats, Most Popular), Scale custom**. Annual = 25% off the monthly rate. Real mechanics: a 5-rep team doing 50 mixed reveals/rep/month needs ~2,750 credits/mo, or 33,000/yr. That is past Pro (7,200/yr) and into Premium (40,800/yr at $299.95/mo, roughly $60/seat at 5 seats). Mobile-heavy teams should model 10 credits per dial-target. The 25% annual discount is real but **locks the credit pool for a year**. Over-burning means top-ups at worse per-credit rates. Practitioner anchor: Apollo Professional ($79/user/mo) charges 8 credits per phone lookup with a much larger pool, so run the credit math against your actual reveal mix before committing. ## Reach for it / skip it - **Reach for it if:** Email-first SMB and mid-market outbound teams who want fast verified emails in a clean UI, a real free test tier, and an agent-facing data surface via API or the Claude connection. - **Skip it if:** Mobile numbers are your daily driver (run the 10-credit math against Cognism or Apollo first), or you need enterprise phone-accuracy guarantees. ## What real users said - "Phone data accuracy sits around 70-75% for NA/EU contacts. Acceptable, not exceptional." -- theautomationsguide.com, TheAutomationsGuide - "Every operator running Lusha for the first time misses [the 10-credit mobile rule] until they blow through Pro tier credits by Day 7." -- stackswap.ai, Stackswap - "Inaccurate Data (469 mentions) and Missing Features (559 mentions) are the two biggest negative themes on G2, ahead of any pricing complaint." -- G2 complaint clusters, G2 - "Reviewers position Lusha as fast and easy for contact lookup, with accuracy complaints concentrated in phone data." -- G2 AI synthesis, G2 --- Full review: https://10xgtm.ai/tool/lusha - 11 cited sources.