Table of Contents
- Evolution of Lusha and Apollo
- Lusha vs Apollo: Which Tool Suits You?
- Lusha vs Apollo at a glance
- How we tested: 250 leads, one ICP, two tools
- Performance Test Between Lusha and Apollo.io With 250 Leads
- Campaign Process and Management
- Database
- AI-Powered Personalization & Smart Insights
- Deliverability Performance
- Apollo Pricing
- Lusha Pricing
- Lusha & Apollo.io Alternatives
- Which should you choose?
- Conclusion
- FAQs
- Related Reads
Deciding between Lusha vs Apollo?
Then you’re probably trying to find contacts that convert and build a strong pipeline without risking your sender reputation or wasting your reps’ time.
I get it.
I’ve been in sales for 5+ years, tested dozens of tools, and we’ve used Apollo for nearly 2 years to generate leads.
And that’s exactly when Lusha entered with a bold claim: Accurate GTM data.
That claim is either a true competitive edge… or just well-packaged marketing.
So we ran a clean test:
Same ICP, same targeting rules, same messaging, same volume, and we measured what your CFO and Head of Sales actually care about: Data quality, contact validity, bounce risk, and workflow ease.
Inside this breakdown, you’ll see:
- Best pick by use case
- Data accuracy (email/phone + role match)
- Deliverability signals (bounces, risk, list quality)
- Workflow speed & integrations
- Credit & pricing ROI
Let’s dive in.
Evolution of Lusha and Apollo
Lusha
Apollo
Lusha vs Apollo: Which Tool Suits You?
Category | Apollo.io | Lusha |
Best for | Teams running consistent, high-volume outbound | Small teams needing quick contact lookups |
Features | Large People + Company database, sequencing, AI prompts, deliverability suite, CRM integrations | Contact database, Chrome extension, basic sequencing, AI drafts |
Typical use case | Weekly campaigns, scaling SDR teams, full outbound engine | Ad-hoc prospecting, targeted lookups, light outreach |
Ease of use | Powerful but has a learning curve | Simple and straightforward |
Limitations | Data inconsistencies by region, deliverability needs monitoring | Email availability gaps, credit-heavy model, limited automation depth |
Pricing | $49/user/mo (billed annually) | $37.45/mo (billed annually) |
Rating | ⭐ 4.3 / 5 | ⭐ 3.8 / 5 |
That’s the difference. Let’s see their head-to-head test.
Lusha vs Apollo at a glance
Apollo.io | Lusha | Winner | |
Free plan | $0 to 75 credits/seat/month | $0 to 40 credits/month, 1 user | Apollo |
Entry paid plan | Basic – $49 (2,500 credits/mo) | Starter – $37.45 (400 credits/mo) | Depends, see below |
Mid tier | Professional – $79 (4,000 credits/mo) | Professional – $48.95 (600 credits/mo) | Apollo on credits |
Top published tier | Organization – $119, min 3 seats (6,000 credits/mo) | Premium – $259.95 (3,400 credits/mo) | Apollo |
Cost per credit (entry tier) | ~$0.020 | ~$0.094 | Apollo ~4.8× cheaper |
Email reveal | 1 credit | 1 credit | Tie |
Phone reveal | 8 credits | 5 credits | Lusha |
Stated database size | No figure is currently published on the site | 290M+ contacts, 26M+ companies | Lusha on transparency |
Built-in sequencing | Yes, unlimited from Basic up | Yes, via Engage (basic) | Apollo |
Built-in dialer | Yes – US dialer, 2 credits/min | No | Apollo |
Deal management / CRM | Yes | No | Apollo |
Deliverability suite + warm-up | Yes, from Basic | No | Apollo |
LinkedIn extension | Available | Available, core product | Lusha |
Our 250-lead bounce rate | 2.65% | 3.0% | Statistically tied |
Our 250-lead reply rate | 0.56% | 0.4% | Statistically tied |
Best for | Email-first teams at volume | Phone-first, surgical lookups | – |
How we tested: 250 leads, one ICP, two tools
What we did:
- Built one ICP definition and applied it identically in both platforms.
- Pulled 250 contacts from each tool, 500 total, no overlap deduplication between the two sets.
- Sent the same email copy, same number of steps, same sending windows, from comparable warmed domains.
- Measured opens, replies, and bounces over the same window.
What we controlled: copy, cadence, volume, ICP definition, sending window.
What we could not control: the two contact sets were different people. Both tools were pointed at the same ICP, but they returned different individuals, so some of the variance is the people, not the data quality. There is no clean way around this without buying the same contacts from both, which defeats the purpose.
Performance Test Between Lusha and Apollo.io With 250 Leads
We ran the same outbound campaign to 250 leads on both Lusha and Apollo to compare basic performance metrics.
Results: Apollo had a slightly higher open rate (51.6% vs 49%), a slightly higher reply rate (0.56% vs 0.4%), and a slightly lower bounce rate (2.65% vs 3%).
Verdict: A genuine tie
If deliverability were the deciding factor, you could flip a coin. It isn’t, so the real comparison is what the contacts actually cost, which is where these two tools stop resembling each other.
Now let’s look at how the campaign was set up and managed.
Campaign Process and Management
Lusha’s Outreach Process
1) Open Engage
Once you get into Engage, Lusha pushes you straight into building a sequence.
2) Select a sequence
Lusha gives you three starting points: Templates, AI assistant, or Create from scratch.
From there, you can pick how you want to start.
I first started with the templates to see what they produce and how editable they are.
The template options were pretty decent, but needed many changes before drafting.
So, I skipped the AI and templates and wrote the email manually.
6) Load Contacts
Head to the Contacts tab and add people to the sequence. You can:
- Add from an existing list
- Import via CSV (up to 500 contacts per upload)
- Add directly from Prospecting (Search)
I chose the “Add from list” option as I already took 250 contacts.
Once added, contacts appear with their sequence status (scheduled, opened, etc.).
7) Preview Emails
Inside the Emails tab, you can preview each step per contact. It shows how the message renders with personalization applied, so you can quickly spot formatting issues or placeholders before launch.
8) Set the Schedule & Send Campaign
In the Schedule tab, choose your timezone and define sending days and time windows.
Once everything looks right, toggle the sequence live.
Now, let’s compare how Apollo.io does Outreach.
Apollo.io’s Outreach Process
1) Create the sequence
Start by naming it and setting your sending schedule to create the sequence.
2) Add steps (one by one)
You build the sequence step-by-step. Typical steps include:
- Manual emails
- Automated emails
- Tasks (calls, LinkedIn touches, reminders)
3) Write emails inside the editor
Draft emails right in the sequence. You can drop in variables (first name, company, etc.) and preview how it looks per contact.
4) Add contacts
You can load people into the sequence from:
- Apollo’s prospect search
- Saved lists
- CSV upload
- Automation (if you’re using Apollo’s outbound workflows)
Once added, contacts move through the steps automatically.
5) Activate & monitor performance
Once you hit Activate, Apollo takes over the send timing. You can monitor every contact as they move through the sequence: sent, opened, replied, bounced, stopped, and jump in anytime to pause or remove someone.
6) Handle replies & clean up automatically
Replies show up right inside the sequence, and Apollo updates statuses for you (like replied, interested, not interested, etc.). That way, people who’ve responded don’t keep getting nudged by the next steps.
Database
Lusha
Lusha’s database has good options for filtering. I set my ICP filters, and it surfaced 500+ contacts.
But once I started checking emails, a lot weren’t available.
And then, after tweaking filters, I got enough email-ready leads to use my 250 credits fully
Now, let’s look at Apollo.io’s database.
Apollo.io
Apollo has basically two searchable databases: People and Companies.
You stack filters on the left, and the result count updates instantly.
People: title/seniority, location, company size + industry, and email status (verified/unverified). Built for fast list building.
Companies: employee count, revenue, location, industry, plus tech stack/funding if you need it. Usual flow is filter accounts → pull the right people.
Compared to Lusha, I was able to build a usable, email-ready list much faster in Apollo.
The volume and visible contact data made it easier to move from filtering to actually launching outreach without constantly adjusting filters to find enough emails.
Let’s see how they performed in AI.
AI-Powered Personalization & Smart Insights
Lusha
Lusha includes an AI sequence generator inside Engage. You choose the goal (new prospects, demo request, recruiting, etc.), pick the tone, add context about your offer, and it generates a ready-to-use sequence.
In my test, the AI created a structured multi-step email flow with subject lines and personalization placeholders. It understands basic context and frames the pitch around your input.
That said, it still feels like a starting draft. The messaging is usable, but it requires manual refinement to make it sharper, more specific, and aligned with your actual voice before sending.
Apollo.io
Apollo’s has AI in three different places, and it’s pretty straightforward.
1) AI Content Center
You feed it your website URL, product name, pain points, and value prop. It uses that as context to draft outreach. You can preview the email instantly, even for a specific contact.
2) AI in Sequences (Prompt Mode)
Inside a sequence step, switch to Prompt mode.
Pick a model, write what you want the email to do, and Apollo generates it. You can preview it against a real contact before saving.
3) AI Models
You can choose a model (with or without web access), write the instruction, hit Save & Run, and Apollo fills that field across records.
Deliverability Performance
Lusha
Apollo.io
Apollo includes a Deliverability Suite to monitor sending health.
In the Domains tab, you can see:
- SPF, DKIM, DMARC authentication status
- Overall authentication coverage
- Average bounce rate
- Bounce rate by domain
You can also add domains/mailboxes for tracking.
Shortly, it’s a dashboard to monitor domain authentication and bounce performance tied to your sending setup.
Apollo Pricing
Plan | Annual (per seat/mo) | Monthly | Credits included |
Free | $0 | $0 | 75 credits/seat/month |
Basic | $49 | $69 | 2,500 credits/seat/month |
Professional | $79 | $99 | 4,000 credits/seat/month |
Organization | $119 (min 3 seats) | $149 | 6,000 credits/seat/month |
Apollo’s credit costs, from its own pricing page: email = 1 credit · phone number = 8 credits · data enrichment = 1 to 8 credits (up to 9 per record) · AI research = 1 credit per run · US dialer = 2 credits per minute. Annual billing saves 29% over monthly.
Apollo’s pricing is mostly about limits, and not locked features.
What you’re really paying for:
- More credits (export + enrichment)
- Higher sending & sequencing capacity
- Larger record pulls
- Team controls (SSO, permissions, workflows)
In practice:
- Free → good for testing, not real outbound.
- Entry plans → light prospecting.
- Mid-tier → first plan that feels usable for consistent campaigns.
- Top tier → built for teams needing higher caps + admin control.
Like Lusha, the real cost depends on how much you prospect and send, but Apollo tends to scale better once you move past the free tier.
Lusha Pricing
Plan | Annual (per mo) | Monthly | Credits included | Annual total |
Free | $0 | $0 | 40 credits/month, 1 user | – |
Starter | $37.45 | $49.90 | 400 credits/month | $449.10 |
Professional | $48.95 | $69.90 | 600 credits/month | $587.16 |
Premium | $259.95 | $399.90 | 3,400 credits/month | $3,119.21 |
Scale | Custom | Custom | Custom | – |
Lusha’s credit costs, from its own pricing page: reveal verified email = 1 credit · reveal a phone number = 5 credits.
Lusha positions its pricing as flexible, but the real cost depends on how you use credits.
A few things to keep in mind:
- Credits are consumed per contact reveal (email or phone).
- Phone numbers typically cost more credits than emails.
- Lower-tier plans come with limited monthly credits, which can run out fast in outbound-heavy use cases.
- Advanced capabilities like API access, enrichment, and automation may require higher plans.
- Team usage is seat-based, so adding reps increases cost.
Your actual spend depends on how many contacts you unlock, what data you pull, and which features your workflow needs, so reviewing the credit structure carefully is key before committing.
Lusha & Apollo.io Alternatives
Tool | Best for | Why choose it instead of Lusha / Apollo.io | Limits/tradeoffs |
Saleshandy | Simple cold email sequences + tracking | If you already have leads and just need a clean, easy sequencing tool (often simpler than running outreach inside Apollo/Lusha) | No native lead database; personalization is basic; deliverability depends on your setup |
Lemlist | Highly personalized outbound (dynamic images/videos, creative personalization) | If personalization is your edge and you want outreach that feels less templated than what Lusha/Apollo generates | Not a prospect database; can be heavier to set up; scaling needs good infra |
Smartlead.ai | High-volume sending with multi-inbox rotation + automation | If you care about scaling outbound safely (many inboxes) more than having leads inside the tool | Not a data provider; you bring lists; learning curve around inbox setup/warmup |
Hunter.io | Finding + verifying emails fast (domain-based prospecting) | If you want a lightweight alternative to Lusha credits for email discovery/verification | Limited beyond email (phones/company insights are lighter); not a full outreach platform often paired with a sequencer |
Sparkle.io | Teams that want outbound run for them rather than be tooled | If the constraint is execution capacity rather than tool choice | Newer platform; smaller integration ecosystem than Apollo.io |
Which should you choose?
Choose Apollo if…
- Email is your primary outbound channel.
- You send at any consistent volume and the credit economics are roughly 5× better and that compounds monthly.
- You want sequencing, dialer, deliverability monitoring and deal management in one seat rather than four tools.
- You build lists from filters rather than from LinkedIn profiles.
- You are a growing SDR team that needs admin controls and shared workflows.
Choose Lusha if…
- Cold calling drives a meaningful share of your pipeline, and you sell into North America.
- Your prospecting genuinely starts on a LinkedIn profile.
- You need a small number of very accurate contacts rather than a large list.
- You want something a new rep can use correctly on day one. Lusha’s interface is simpler.
- Your volume is low enough that its credit allowances actually cover you.
Choose neither if…
- More than half of your ICP is outside North America and Western Europe. Test both free tiers against your real segment before spending.
- You have no email infrastructure. Neither tool fixes a cold domain; Apollo at least monitors one.
- You need someone to run outbound for you rather than sell you a tool to run it with.
Conclusion
At the end of the day, the Lusha vs Apollo decision is all about operational fit.
And from my testing, Apollo came out slightly stronger on usable data, and it was quicker to build an email-ready list and get campaigns moving with less back-and-forth filtering.
So, the difference lies in how you prospect, how aggressively you scale, and how much control you need over data and automation.
Choose the platform that supports your growth model.
FAQs
1. Is the data accurate enough on Lusha and Apollo for high-volume outbound?
Both tools provide large databases, but accuracy can vary by region and role. For high-volume sending, it’s wise to validate a sample before fully committing the budget.
2. How quickly can my team adopt Lusha and Apollo to see results?
Ease of onboarding matters. The best choice is the one your reps can start using confidently within days, not weeks.
3. Which Outreach tool is better for international prospecting (EMEA/APAC)?
Coverage varies by region. If global outreach is part of your strategy, review sample data quality from the outreach tool and target geography before scaling campaigns.
4. How well do Lusha and Apollo integrate with Salesforce or HubSpot?
Both integrate with Salesforce/HubSpot, but in general, Apollo gives more workflow/control, while Lusha is simpler but less configurable.
