Lead generation software, sorted by the job each tool actually does

This page is for founders, sales leaders and RevOps people choosing lead generation software for an outbound or mixed team. First write down three numbers: new contacts your team needs a month, how many need a phone number, and emails sent. Almost every price below turns on one of them.

How we compared

Blackpearl Group wrote this page, and one of the ten tools is its own (marked "we make it"). We set these rules before writing:

• Selection. Each tool appeared in the lead generation software lists among the top Google results on 26 October 2026 (several written by vendors that rank themselves first), or is a widely used option for one of the five jobs below.
• Facts. Every price, allowance and credit rule comes from the vendor's own pricing page or help docs, checked on 26 October 2026 and listed in the sources. "Quote only" means the vendor publishes no price. Prices are list prices before tax, in US dollars unless the vendor showed euros.
• No scores. We haven't run head-to-head tests, so there are no star ratings. The two-week test below is the one to run on your own market.
• Fairness. For each tool we say what it's best at and where it falls short.

The five jobs lead generation software does

The phrase covers tools that do very different work. Find your bottleneck first.

A sixth job sits across all five: deciding which accounts to work first and what to say. Intent data covers the timing (see intent data providers compared), and account research covers the message.

Prices and limits at a glance

Published plans from each vendor's pricing page, checked 26 October 2026. "Annual" is the monthly equivalent when billed annually.

What each price actually buys

Headline prices can't be compared until you convert them into the thing you need. Four meters show up in this market:

• Credits per contact (Apollo, Lusha, ZoomInfo, Hunter, Clay). The question is what one credit buys (see the table below). Clay's cost depends on the providers in your workflow: its docs put a LinkedIn profile and an email at 0.5 Data Credits each, and a fully enriched record at 6 to 20.
• Seats (Sales Navigator, HubSpot, Apollo). You pay for each person, whether or not they use their allowance.
• Activity (Leadfeeder counts companies identified a month; Instantly counts emails sent and contacts uploaded).
• Contract terms (ZoomInfo). Its license terms say the agreement "is not cancellable" during the term in your order form. ZoomInfo pricing explained covers how to read a quote.

Three rules change the bill more than the plan name does (Apollo's from its API documentation):

Worked example: six SDRs at a logistics software company

Illustrative example. The company, volumes, phone mix and Clay phone cost are invented. Prices are list prices published on 26 October 2026, before tax or discounts.

The team: Dockline (dockline.example) sells dock appointment scheduling software to third-party logistics warehouses with 50 to 500 staff. Six SDRs each need 150 new contacts a month (operations directors and warehouse managers) with a verified email, and 50 of each rep's contacts also need a mobile for call blocks. That's 900 contacts a month, 300 with mobiles, and about 3,600 emails a month from a four-step sequence (600 per rep, roughly 30 a working day).

Credits needed each month:

• Apollo: 900 emails × 1 + 300 mobiles × 8 = 900 + 2,400 = 3,300 credits
• Lusha: 900 × 1 + 300 × 5 = 900 + 1,500 = 2,400 credits
• Hunter: 900 emails found = 900 credits, and no mobiles
• Clay: 900 profiles × 0.5 + 900 emails × 0.5 = 900 Data Credits, plus 300 mobiles at an assumed 10 Data Credits each = 3,000, for 3,900 in total

Four stacks that cover it, billed monthly:

Per contact is the monthly cost divided by 900: for example, $390 ÷ 900 = $0.43. Billed annually, stack A falls to 6 × $49 = $294 a month, and Lusha Premium to $299.95.

What changes the answer:

• Every contact needs a mobile. Apollo then needs 900 × 9 = 8,100 credits, still inside 15,000. Lusha needs 900 × 6 = 5,400, beyond Premium's base 3,400; Lusha's own credit slider prices 5,400 credits on Premium at $587.40 a month. Stack C can't do it at all.
• More sending. Above 250 emails per rep a day, Apollo Basic's cap binds and Professional ($99 monthly, $79 annual) removes it.
• Fewer LinkedIn sellers. With two Sales Navigator licenses instead of six, stack C falls to $49 + (2 × $119.99) + $47 = $335.98.
• Build time. Someone must build and maintain the Clay table in stack D. At an illustrative 8 hours a month at $60 an hour, that's $480, more than the subscription.
• Accuracy. If one stack returns 10 percentage points more wrong records, that's 90 bad records a month. At three touches of four minutes each, 90 × 12 = 1,080 minutes, or 18 hours of rep time: about $810 a month at an illustrative $45 an hour. That's larger than any price gap above, which is why the test below matters more than the list price.

What Dockline should take from this: stack A is the cheapest single bill. Stack B earns its extra $106.80 a month only if Lusha's numbers connect better in Dockline's own test, stack C suits teams that genuinely sell on LinkedIn, and stack D pays off when someone will own the workflow.

Best fit and limits for each tool

Apollo. Best for: small and mid-sized outbound teams that want contact data, unlimited sequences on paid plans and a US dialer on one bill. Limits: phones are credit-hungry, every seat must be on the same plan, and Basic caps sends at 250 emails a day. Detail in Apollo pricing.

Lusha. Best for: reps who want quick email and phone reveals from a browser extension, with monthly rollover. Limits: its pricing page asks teams of more than five users to contact sales, and Data Waterfall starts on Pro. See Lusha pricing.

ZoomInfo. Best for: larger teams that want broad contact data, buyer intent (from Copilot Advanced) and marketing products under one contract. Limits: quote only, each export costs a credit, and the license can't be cancelled during its term.

Hunter. Best for: email-first prospecting from company domains, with unlimited users. Limits: no phone numbers.

LinkedIn Sales Navigator. Best for: reps whose buyers are active on LinkedIn: 50+ search filters, 50 InMails a month, job change alerts and CRM integrations. Limits: priced per license, and its plan page lists search, messaging and CRM sync, not email addresses or phone numbers to export.

Clay. Best for: ops-minded teams that combine many data providers and run AI research inside custom tables. Limits: someone must build the tables, and CRM sync needs Growth ($495 monthly). See Clay pricing.

Leadfeeder (Dealfront). Best for: teams with real website traffic that want to know which companies visit. Limits: the price rises with companies identified, and verified emails, phones and intent filters start on Activate (from €369 a month billed annually).

HubSpot Marketing Hub. Best for: capturing and nurturing inbound leads with forms, landing pages, email and live chat alongside your CRM. Limits: Professional starts at $800 a month plus a required one-time $3,000 onboarding fee, plans are sized by marketing contacts, and outbound lists still need a data source.

Instantly. Best for: high-volume cold email, with unlimited email accounts and warmup. Limits: plans cap emails and uploaded contacts, and lead data is a separate subscription ($47 a month for 1,500 credits).

Bebop (we make it). Best for: teams that want leads to arrive researched. You describe the companies you want in plain language and get verified contacts with intent signals, why each account fits, and a playbook for each: who to talk to, what's happening at the company, the angle to open with and objections to expect. Limits: it doesn't send sequences or dial, so you'll pair it with a sending tool. One plan: $149 a month with 5,000 credits.

Which lead generation software fits your situation

If more than one row fits, fix the earliest bottleneck first: sending software can't rescue a weak list. For the strategy behind the tools, see B2B lead generation.

Run a two-week test before you commit

1. Write one brief. Industry, size, region, the roles you sell to and a reason to buy now, in one paragraph. Use the same words in every tool.
2. Build a truth set. List 20 to 30 accounts you know well (customers and recent lost deals) with the buyer you'd want at each and contact details you know work.
3. Set pass marks before you look. For example: 80% of returned accounts fit the brief, 70% of your known buyers found, under 3% hard bounces.
4. Days 1 to 3: run the brief. Ask each tool for 100 accounts and two contacts at each. Note how long the list takes to build.
5. Days 4 to 6: score. Mark each account as a fit or not. Score each contact +1 (right person, current role, working email or number), 0 (plausible, can't confirm) or -1 (wrong person, departed, bounced, wrong number). GTM-Bench, Blackpearl Group's June 2026 benchmark of AI prospecting systems, scores sub-standard records -1 in the same way, and several general-purpose AI agents in it finished with negative net scores.
6. Days 7 to 12: send and call. Email 100 contacts from each tool in the same sequence and dial 30 numbers. Count bounces, replies and right-person connects.
7. Days 13 and 14: cost it. Cost per usable contact = monthly price at your volume ÷ contacts scoring +1. If stack A's 900 contacts score +1 at 80%: $390 ÷ 720 = $0.54. Add setup hours at your own rate.

Tool or stack tested:                 Dates:
Job it's meant to do: [contacts / LinkedIn / enrichment / inbound / sending]

PASS MARKS (set before testing)
Accounts that fit the brief: at least ___%
Known buyers found: at least ___%
Hard bounces: under ___%

RESULTS
Accounts returned: ___   Fit the brief: ___ (___%)
Contacts returned: ___
Scored +1: ___   Scored 0: ___   Scored -1: ___
Emails sent / bounced / replied: ___ / ___ / ___
Numbers dialed / right person: ___ / ___
Hours to build the first list: ___

COST
Monthly price at our volume: $___
Cost per usable contact: $___ ÷ ___ = $___
Setup and upkeep hours a month: ___

Decision and why:

What no lead generation software does for you

• Keep data fresh. People change jobs, and every database lags behind.
• Prove its own accuracy. Vendor accuracy rates are the vendor's own measurements. Your truth-set test is the figure that applies to you.
• Take on your compliance. The FTC says CAN-SPAM "makes no exception for business-to-business email": each message needs a valid postal address and an opt-out, and opt-outs must be honored within 10 business days. Hiring a vendor to send doesn't move the duty, because you "can't contract away your legal responsibility".
• Decide what to say. Tools find people; the reason to talk is still yours. See the account research guide.

Next step: if contact data is your bottleneck, compare the databases job by job in Apollo alternatives.