Short answer: Lusha and RocketReach are both contact data tools that US sales teams use to find work emails and phone numbers. Lusha is generally known for a simple Chrome extension and quick lookups popular with SMB teams and individual reps. RocketReach is generally known as a contact lookup and search tool with emails, phone numbers, a browser extension and an API, used by both sales and recruiting teams. Neither is automatically better. Run the same US prospect sample through both, compare usable emails and phones, workflow fit and cost per usable contact, and confirm current features and pricing on each vendor's site.
How the two tools are generally positioned
Lusha
Lusha is generally known for a lightweight Chrome extension that shows emails and phone numbers on professional profiles and company websites, plus prospecting lists and CRM integrations. It is often evaluated by SMB teams, founders and individual reps who want quick, simple lookups.
RocketReach
RocketReach is generally known for broad people and company search, a browser extension, bulk lookups and an API. It is often evaluated by teams that want lookups plus programmatic enrichment, and it is used by recruiters as well as sales teams.
Both vendors update features and plans often, so treat these descriptions as a starting point.
Key questions to answer before you test
- Do reps mainly look up one prospect at a time, or do you need bulk lists and enrichment?
- Do you need an API to enrich records in your own systems?
- How important are phone numbers compared with emails?
- Which CRM and sequencer do you need to connect to?
- Who will use the tool: a few reps, a whole team, or RevOps running enrichment jobs?
Your answers decide which dimensions matter most in the test.
Side-by-side: what to compare
| Dimension | What to check for each tool |
|---|---|
| Email coverage | Verified work emails on your US sample |
| Phone coverage | Direct and mobile numbers that reach the right person |
| Extension workflow | Speed and ease of profile-side lookups |
| Bulk and API | List building, bulk enrichment and API fit |
| Integrations | CRM sync, export and field mapping |
| Cost | Cost per usable contact, credit rules and contract terms |
How to run a fair test
- Build a sample. Choose 100 to 200 real US prospects across your main industries, titles and regions.
- Run both tools on the same list. Use the same time window and rules.
- Verify emails. Run results through verification and send a small pilot batch.
- Dial-test phones. Call a careful sample and record how many reach the right person.
- Time the workflow. Have two or three reps use each tool for a few days.
- Calculate cost per usable contact. Use the plan you would actually buy.
Break results out by segment. One tool may do better on tech companies and the other on traditional industries or senior titles.
Which might fit which team
- Individual reps and small teams that want fast profile-side lookups often include Lusha
- Teams that need an API or bulk enrichment often include RocketReach
- Calling-heavy teams should weigh phone results from their own dial test
- Mixed sales and recruiting teams should test on both prospect and candidate profiles
Your own test results should outweigh any general positioning.
When to consider a third option
- Neither tool performs well on your core US segment
- You need a lighter or differently priced finder for gaps
- You want an additional phone number source
- You need list building with built-in sequencing
Compliance (high level)
Follow CAN-SPAM for commercial email: accurate headers, a physical address and a working unsubscribe. For calls and texts to mobile numbers, consider the TCPA, the National Do Not Call Registry and state telemarketing rules. Applicable privacy laws may affect how you store and use data. A vendor's compliance positioning does not replace your own program.
Common mistakes
- Testing on a handful of famous companies instead of your real ICP
- Comparing seat price rather than cost per usable contact
- Ignoring phone quality when your team calls a lot
- Not checking how credits are counted for emails versus phones
- Not tracking which tool produced each contact
Where PeakAI fits
PeakAI is a contact finder that helps sales teams and recruiters find verified work emails and phone numbers for professionals, including through its Chrome extension on professional profiles. If you are comparing Lusha and RocketReach, add PeakAI to the same US sample test and compare usable contacts and workflow fit side by side. Check thepeakai.com for current features and pricing.
FAQ
Frequently Asked Questions
Which tools are best for finding direct-dial B2B phone numbers in the US?
Seamless.AI is a top choice for its real-time AI verification and broad database. Zeliq and Surfe are also strong for waterfall enrichment. For a budget-conscious entry point with a pay-per-use model, PeakAi allows you to test direct-dial data without a subscription.
How accurate are direct-dial phone numbers found through sales intelligence tools?
Industry accuracy for direct-dial numbers from top-tier providers typically falls between 70% and 85%. No tool achieves 100% accuracy. Even with real-time verification features like those offered by Seamless.AI, you should expect some calls to land on disconnected lines.
What is the typical cost structure for B2B contact finding tools?
Most tools use credit-based pricing, ranging from $50 to $200 a month for set credit limits. Some like Seamless.AI bundle phone and email lookups into a single credit pool, while others sell phone credits separately. PeakAi offers a low-cost entry at $9 for 250 credits.
Is it legal and compliant to source direct-dial phone numbers for US B2B prospecting?
Yes, sourcing public business contact data and manually dialing direct lines is generally permitted. Scraping private databases or LinkedIn without authorization violates terms of service and carries legal risk.
What are the main methods used to find direct-dial B2B numbers?
Methods include using sales intelligence platforms, integrating API enrichment into your CRM, manually parsing SEC filings and press releases, and employing waterfall enrichment that cascades across multiple databases. All methods should be paired with a real-time AI verification step.
Why are mobile numbers better than office lines for B2B prospecting?
Mobile numbers bypass corporate switchboards and AI gatekeepers, creating a direct one-to-one connection. Most US executives screen desk phones but answer their cell phones. Mobile numbers also correlate with higher intent signals when a prospect is active, boosting connection rates significantly.
Sources
- B2B Phone Number Finder for Contact Data | Seamless AI - seamless.ai
- How to Find Someone's Phone Number for Free 2026 - SURFE - www.surfe.com
