Cognism vs Kaspr: Which Should You Use for B2B Lead Generation? (2026)

Cormac Repman
2 days ago
6 min read

Cognism vs Kaspr: The Quick Answer

Both tools solve different versions of the same problem: finding verified B2B contact data. Cognism is the heavyweight for accuracy and breadth of firmographic data; Kaspr is the lightweight for fast LinkedIn scraping. Neither gets you to revenue alone—both require you to hire and manage your own outbound team to actually close meetings.

What Does Cognism Do?

Cognism is a B2B contact database built on proprietary data collection. They verify phone numbers through direct outreach to companies, compile datasets of decision-makers across industries, and layer in deep firmographic data (company size, revenue, technology stack, recent funding). You search their platform, filter by title, company attributes, or intent signals, and export lists.

The strength is reliability. Cognism's phone numbers have high deliverability because they're verified through active research, not scraped. Their data gets updated quarterly in many segments. For enterprise-level deals where a wrong number wastes a sales rep's time and hurts your outbound metrics, this matters.

The weakness is scope and cost. Cognism covers B2B contact data comprehensively but is geographically strongest in North America and Europe. International data, especially outside tier-1 regions, thins out fast. And the price point—which we'll cover below—assumes you're running this at scale or have a material budget for lead sourcing.

What Does Kaspr Do?

Kaspr is a Chrome extension and standalone platform for LinkedIn data extraction. You search LinkedIn, run Kaspr in the background, and it captures profile data (name, title, company, email, phone) from public LinkedIn profiles and company pages. Export that data, load it into your CRM, and you've got a working list in minutes.

The strength is speed and cost. Kaspr has virtually no artificial lag. You see someone, Kaspr captures them, done. The tool is priced for volume and speed, not accuracy. If you do 50 searches a month and want quick lists for weekly campaigns, Kaspr gets you there.

The weakness is verification and coverage. Email and phone data extracted from LinkedIn profiles is often incomplete, outdated, or not phone-verified. LinkedIn's terms of service shift year to year, and bulk extraction tools live in gray zones. Most critically: if someone didn't fill out their phone number on LinkedIn, Kaspr can't extract it. You end up with a list where half the records are missing email or phone, forcing you to pay for enrichment or skip prospects entirely.

Pricing Compared

How much does Cognism cost?

Cognism charges on a per-credit model within a SaaS subscription tier. You commit to a monthly plan (typically $500-$2,500 depending on team size and feature set), which gives you access to the platform and a credit allowance per month. Each contact record costs 1-2 credits; deeper data (like call recordings on select B2B profiles) costs more. Heavy users can negotiate annual contracts. There's no free trial; onboarding is sales-assisted.

The effective cost-per-lead lands around $1-$3 per contact for most teams once you factor in monthly platform costs and credit consumption. For a team running 100 outreach sequences per month, you're looking at $1,500-$4,000/month in data spend alone.

How much does Kaspr cost?

Kaspr operates on freemium tiers and affordable paid plans. A free tier gives you 10-20 extractions per month. Paid plans start around $40-$120/month for small teams (50-500 extractions/month) and scale up. The cost-per-lead is dramatically lower on a per-record basis—roughly $0.10-$0.40 per contact—because you're extracting from public data, not accessing proprietary databases.

The catch: once you export a Kaspr list, you often need enrichment to fill gaps. A phone number might not exist on LinkedIn; an email might be generic. Enrichment costs (Clearbit, RocketReach, Apollo) add another $0.50-$1.50 per record, bringing your true cost closer to Cognism territory if you need high-completeness data.

Feature and Capability Comparison

Cognism Strengths:

Phone-verified contact data with high answer rates

Deep firmographic filtering (revenue, growth rate, technology stack, funding stage)

International coverage (90+ countries)

Intent signals (like recent job changes or news mentions) in higher tiers

Compliance-ready (GDPR, TCPA considerations built in)

Native CRM integrations (Salesforce, HubSpot, Pipedrive)

Cognism Gaps:

Slower than Kaspr (you're querying a database, not scraping LinkedIn in real-time)

No built-in outbound execution (no email warm-up, no dialing, no campaign automation)

Higher price point locks out small teams or bootstrapped startups

Data quality varies by industry and geography

Kaspr Strengths:

Real-time extraction from LinkedIn (accounts and company pages)

Fast list building (minutes, not hours)

Cheap enough for testing and experimentation

Chrome extension UX is frictionless for sales reps

Good for account-based selling (target a company, pull the stakeholder map)

Free tier for individuals

Kaspr Gaps:

Incomplete data (missing emails/phones on 20-40% of records)

No verification layer (bounces are common)

LinkedIn rate limits and ToS changes have periodically throttled the tool

No firmographic context (you get profile data, not company revenue or funding)

Limited international coverage

No native CRM integrations; manual export or Zapier required

Requires enrichment to be production-ready, which adds cost and time

Which Should You Choose?

Choose Cognism if...

You're an established B2B SaaS company with a sales team of 5+, running outbound at scale, and your unit economics can absorb $3,000-$5,000/month in data costs. You need high-confidence contact data where you know the phone numbers are verified and the person's title is current.

You're selling complex products (enterprise software, financial services, insurance) where a wrong contact wastes a rep's time and damages your credibility. You need to filter by granular attributes (companies running specific tech stacks, recently funded, recently hired a CFO) to nail your ICP.

You operate internationally and need verified data in multiple countries and languages. You have compliance requirements around data sourcing and privacy.

Choose Kaspr if...

You're early-stage or bootstrapped, testing outbound for the first time, and want to validate demand without a six-figure data budget. You're comfortable with some data quality loss and plan to verify numbers manually or through enrichment.

You do account-based selling and want to quickly pull organizational charts from LinkedIn for a list of target companies. Your workflow is: find the company on LinkedIn, extract the team, enrich selectively, outreach.

Your sales team works independently and uses Chrome extensions as part of their daily flow. You value speed (turnaround hours, not days) over perfection.

You're in lighter-touch verticals (SMB SaaS, agencies, recruiting) where a bounced email or wrong number isn't a major sunk cost.

The Third Option Nobody Mentions

Here's the conversation that most teams don't have: both Cognism and Kaspr do the same job—give you a list. They don't make calls. They don't draft emails. They don't book meetings. After you get your data, you still have to hire an SDR team, train them, manage them, and monitor their outreach.

A small company using Kaspr to save money on data still spends $50,000-$100,000/year hiring a fractional SDR or junior closer to work those lists. A mid-market company using Cognism pays for premium data, then pays another $80,000-$150,000/year for a full-time SDR, plus COGS on email tools (Outreach, Salesloft) and dialer integrations. You're paying for two separate systems: the data, and the people to execute.

What if you could pay only for results instead?

Nurturance is built for B2B teams—especially fintech, insurtech, and SaaS—who want performance-based outbound without the overhead. We provide human SDRs who do real cold calling, backed by transparent call recordings and detailed dialing reports. You don't pay a retainer or a per-lead fee. You pay for qualified meetings actually booked on your calendar.

Our SDRs already have access to clean lead lists from multiple sources. We handle the data integration, the outreach execution, the discovery calls, and the booking. Your job is to close. No employee, no contractor churn, no software stack to manage.

For fintech and insurtech specifically—verticals where trust, credential, and real human conversation drive deals—Nurturance is built to replace the data-first approach entirely. You get outcomes, not databases.

The Bottom Line

Cognism wins on data quality and scale. If your team already has SDRs in seat and you just need a better data source, Cognism's verified numbers and firmographic depth are worth the premium.

Kaspr wins on cost and speed. If you're building your first outbound motion or testing demand on a budget, Kaspr plus a lightweight enrichment step gets you going.

But both assume you have the team and infrastructure to execute once you have the data. That's the hidden cost nobody talks about. If you don't have in-house outbound capacity—or you're tired of the hiring and management burden—Nurturance's pay-per-meeting model handles the execution while you focus on closing. No data subscription, no SDR payroll, no software stack. Just results.

Human SDRs, transparent metrics, and qualified meetings. That's the third option.