Lusha Alternatives in 2026: 6 Tools Compared (Free vs Paid)
Lusha is the simplest on-ramp for LinkedIn-based contact lookups. It is also not quite what the marketing materials suggest: phone numbers quietly went from 5 credits to 10 credits each in late 2025, real-world email coverage in many regions is around 10%, and the Trustpilot score of 1.4 is driven largely by people whose contact data Lusha holds without their knowledge or consent. If the data quality, pricing model, or privacy concerns brought you here, here are the six alternatives worth knowing in 2026.
Quick comparison
Six alternatives, prices in USD, sorted by practical fit for teams evaluating Lusha replacements.
| Tool | Pricing | Best for | Free tier |
|---|---|---|---|
| Lusha | Free (40 credits/mo); from $37/mo | Individual SDRs doing quick LinkedIn profile enrichment | Yes |
| OutX (recommended) | Free; from $99/mo | LinkedIn signal data on top of LinkedIn-native lookups | Yes |
| Apollo.io | Free; from $49/user/mo | Teams wanting data + sequencing with a larger database | Yes |
| ZoomInfo | From ~$15,000/yr | Enterprise teams needing the largest database at any price | Lite |
| Cognism | ~$22,500-$50,000/yr | EU teams needing verified phone data with GDPR compliance | No |
| Clay | Free; from $185/mo | RevOps teams building multi-source enrichment workflows | Yes |
| Hunter.io | Free; from $49/mo | Teams that primarily need email from company domains | Yes |
Why people look for Lusha alternatives
Lusha was a clean, simple choice for LinkedIn enrichment. The complaints that have accumulated in 2025-2026 are specific:
- Phone credit costs doubled. Lusha raised the credit cost for phone numbers from 5 to 10 credits each in late 2025. Users who built workflows around phone-heavy prospecting found costs doubled without a product improvement to justify it.
- Email coverage is low in many regions. Real-world hit rates hover around 10% in markets outside the US for many users. The database breadth (280M+ claimed contacts) does not translate to coverage in practice.
- Bulk enrichment is capped at 25 contacts per batch. This is genuinely impractical for teams processing large lead lists and forces repeated manual work.
- Privacy concerns. Lusha's community data model collects contact information from Chrome extension users' LinkedIn connections without explicit consent from those contacts. Multiple GDPR challenges have followed. For teams in regulated industries or with legal review of their data practices, this is a real concern.
- Customer support is slow. Multiple G2 reviews document multi-day response times on support tickets. Lusha's Trustpilot score (1.4/5) reflects this alongside the privacy complaints.
6 Lusha alternatives, in detail
1. OutX (the LinkedIn signal option)
Category: LinkedIn social listening + buying-signal engagement Pricing: Free; paid from $99/mo Best for: B2B teams whose buyers post on LinkedIn
Lusha tells you a prospect's email address. OutX tells you when a prospect is actively looking for what you sell.
The difference: a cold email to a contact Lusha found is an interruption. A reply to a prospect's LinkedIn post, "we are evaluating B2B data tools, what are people using?", is a welcome contribution to an ongoing conversation. OutX monitors LinkedIn and Reddit for those moments, scores them for fit with your offer, and drafts a contextual reply you can send from your real account in one click.
For teams that want to work smarter on LinkedIn rather than just build bigger cold lists, OutX adds the timing layer that no database provides. Pair it with any cheap database for the complete picture.
Try OutX free for 7 days (no credit card).
2. Apollo.io
Category: Sales intelligence and email sequencing Pricing: Free; from $49/user/mo Best for: Teams wanting Lusha-style data plus built-in email sequencing
Apollo is the most direct Lusha replacement for most teams. Larger database (210M+ contacts), better free tier (100 credits/mo vs Lusha's 40), and built-in email sequencing that Lusha does not offer. Credit model for emails is predictable (1 credit per email). For individual SDRs or small teams, Apollo's free tier vs Lusha's free tier is a clearer winner on value.
3. ZoomInfo
Category: B2B contact data and GTM intelligence Pricing: Custom, from approximately $15,000/year Best for: Enterprise teams where Lusha's accuracy gaps are costing more than ZoomInfo's price
ZoomInfo is what teams graduate to when data accuracy becomes the constraint that costs more than the tool. Better curation, larger database (320M+), verified contacts. The trade-off is extreme: $15,000/year minimum, annual contracts, aggressive renewals. For any team where Lusha's accuracy is "good enough," ZoomInfo is not the answer.
4. Cognism
Category: B2B contact data, EU-focused Pricing: Custom, approximately $22,500-$50,000/year Best for: EU teams needing verified phone data with clean GDPR compliance
Cognism's Diamond Data addresses Lusha's two specific failure modes: phone number accuracy (87% connect rate vs Lusha's 60-65%) and GDPR compliance (numbers verified against 13 do-not-call lists). If those two issues drove you away from Lusha and budget is available, Cognism is the direct fix. If budget is the constraint, Apollo is the practical alternative.
5. Clay
Category: GTM data enrichment and workflow automation Pricing: Free; from $185/mo Best for: RevOps teams building multi-source enrichment workflows
Clay aggregates 150+ data providers including Lusha in waterfall sequences, getting higher combined hit rates than any single source. If Lusha's 10% email coverage in your market is the problem, Clay's waterfall approach across multiple providers can push coverage significantly higher. The trade-off is complexity: Clay requires meaningful setup investment and is not a quick Lusha swap for individual SDRs.
6. Hunter.io
Category: Email finding and verification Pricing: Free (25 searches/mo); from $49/mo Best for: Teams that primarily need email from company domains
Hunter is cheaper than Lusha and laser-focused on email from company domains. Domain search reveals all email patterns for a company and verifier checks deliverability. No phone data, no individual LinkedIn profile lookup. For teams doing targeted outreach where they know the company and just need the email pattern, Hunter is simpler and more accurate for that specific use case than Lusha.
Side-by-side: Apollo vs Lusha (the most common direct swap)
| Axis | Winner | Why |
|---|---|---|
| Free tier | Apollo | 100 credits/mo vs Lusha's 40. Plus sequencing included. |
| Database size | Lusha (claimed) | 280M claimed vs Apollo's 210M. Hit rates in practice vary. |
| Email accuracy | Tie | Both roughly 65-70% in most markets. Lusha lower in EU. |
| Phone data cost | Apollo | 8 credits per phone. Lusha is 10 credits. Both expensive vs email. |
| Built-in sequencing | Apollo | Lusha has no sequencing; Apollo's is included in all tiers. |
| GDPR compliance | Apollo | Lusha's community model has documented challenges. |
| LinkedIn buying intent signals | Neither (try OutX) | Both are databases. Neither surfaces real-time LinkedIn post signals. |
Where OutX fits in
Contact databases solve a list problem. OutX solves a timing problem.
If your SDR team is sitting on a large Lusha or Apollo list with reasonable accuracy but unremarkable reply rates, the issue is often timing, not data. Reaching the right person a week after they evaluated your category and chose a competitor is a loss. Reaching them the same day they posted asking for recommendations is a win.
OutX monitors LinkedIn and Reddit for those posts in real time, scoring them against your ICP and offer. When a match fires, you get a draft reply to send from your real account immediately.
For most B2B teams, the complete stack is: a cheap database (Apollo at $49/mo) plus OutX for timing ($99/mo). $148/mo total vs the alternatives that cost 10x more and still do not give you the signal layer.
Bottom line
- Solo SDR doing LinkedIn lookups: Apollo's free tier beats Lusha's free tier.
- Team needing data + sequencing in one tool: Apollo.
- EU-heavy team with phone-first outbound: Cognism.
- Team where accuracy is costing more than enterprise pricing: ZoomInfo.
- RevOps team building sophisticated enrichment: Clay.
- Email-from-domain use case only: Hunter.io.
- LinkedIn-first teams that want buying signals, not just contact data: OutX.
The wrong move is staying on Lusha after the phone credit doubling if you are phone-first. The right move is matching the tool to the actual use case.
