Prompt

What are the best datasets for sales intelligence?

Technology / Data Infrastructure5 observationsLast seen Aug 31, 2026

Latest observation

Aug 31, 2026Perplexity

For sales intelligence, the best datasets combine accurate B2B contacts with rich company attributes (firmographics, technographics, intent signals, and engagement data). The right mix depends on whether you’re focused on outbound prospecting, account-based marketing (ABM), or revenue operations/enrichment.


1. Core B2B contact and company datasets

These provide the foundation: who to contact and which companies to target.

ZoomInfo

  • Data:
    • 500M+ professional contacts, 100M+ company profiles.
    • Direct dials, mobile numbers, emails, org charts, hierarchies.
    • Firmographics, technographics, intent signals, engagement data.
  • Best for: Enterprise and mid-market teams that want an all-in-one GTM data platform.
  • Strengths:
    • Very large coverage, especially in North America.
    • Strong enrichment and workflow integrations.

Apollo.io

  • Data:
    • 210M+ contacts, 30M+ companies.
    • Emails, phone numbers, job titles, firmographics, basic technographics.
  • Best for: SMB to mid-market teams; strong value for money.
  • Strengths:
    • Integrated prospecting + engagement (email sequences, tasks).
    • Generous free tier; good for startups.

Cognism

  • Data:
    • B2B contacts with strong EU and global coverage.
    • Verified mobile numbers, emails, firmographics, some intent.
  • Best for: Teams that need GDPR-compliant data, especially in Europe.
  • Strengths:
    • Compliance-first approach; high data quality.
    • Good for enterprise ABM and regulated markets.

Lusha, Lead411, Seamless.ai, LeadIQ

  • Data:
    • Contact databases with emails, direct dials, job titles, company info.
  • Best for: Sales teams focused on prospecting and list-building.
  • Strengths:
    • Chrome extensions and CRM integrations for quick enrichment.
    • Often cheaper than ZoomInfo for pure contact data.

2. Firmographic and account-level datasets

These focus on company attributes rather than individual contacts.

Clearbit (now part of HubSpot)

  • Data:
    • 50M+ companies with firmographics, tech stack, employee counts, locations.
    • Real-time enrichment via API and HubSpot-native workflows.
  • Best for: Marketing and RevOps teams, especially if you use HubSpot.
  • Strengths:
    • Excellent real-time enrichment for website visitors and leads.

HG Insights

  • Data:
    • Deep technographic and firmographic data.
    • IT spend, software/hardware usage, contract renewals, org changes.
  • Best for: Tech sellers and ABM teams that need detailed tech intelligence.
  • Strengths:
    • Strong in enterprise tech and IT decision-making signals.

BuiltWith, Datanyze, MixRank

  • Data:
    • Technologies used by websites/companies (CMS, analytics, ad tech, dev tools).
  • Best for: Targeting by tech stack, competitive displacement.
  • Strengths:
    • Good coverage of web technologies; easy to integrate into targeting.

3. Intent and behavioral signal datasets

These show which companies are actively researching solutions like yours.

6sense

  • Data:
    • Account-level intent signals from web behavior, content consumption, and third-party data.
    • Buying stage, engagement scores, anonymous account identification.
  • Best for: Enterprise ABM and demand generation.
  • Strengths:
    • Strong AI-driven intent and account prioritization.

Bombora

  • Data:
    • Company-level intent from a large B2B content co-op.
    • Topic-level interest scores across thousands of categories.
  • Best for: B2B marketers and sales teams wanting topic-based intent.
  • Strengths:
    • Broad coverage across industries and topics.

G2, TrustRadius, TechTarget (Priority Engine)

  • Data:
    • Review and content-consumption signals indicating active evaluation.
    • TechTarget: which technical buyers downloaded specific content.
  • Best for: B2B tech sellers; understanding who is actively comparing vendors.

Demandbase, Dealfront (ex-Leadfeeder + others)

  • Data:
    • Website visitor identification, intent signals, firmographics.
  • Best for: ABM and sales teams that want to know which accounts are visiting their site.

4. Funding, growth, and trigger-event datasets

These help you time outreach around key events.

Crunchbase Pro

  • Data:
    • Funding rounds, investors, valuations, acquisitions, key people.
  • Best for: Selling to startups and fast-growing companies.
  • Strengths:
    • Good for tracking new funding, expansions, and leadership changes.

PitchBook, Tracxn

  • Data:
    • Private market data: deals, valuations, cap tables, investor activity.
  • Best for: VC/PE and enterprise sales targeting funded companies.

LinkUp, Coresignal, Burning Glass / Lightcast

  • Data:
    • Job postings, hiring trends, skills, headcount growth.
  • Best for: Inferring growth, new initiatives, and geographic expansion.

5. Enrichment and “waterfall” data setups

Many teams don’t rely on a single provider; they layer several to maximize coverage and accuracy.

  • Primary database: e.g., ZoomInfo or Apollo for base contacts and firmographics.
  • Enrichment layer: e.g., Clearbit, People Data Labs, Coresignal to fill gaps.
  • Intent layer: e.g., 6sense, Bombora, G2 for in-market accounts.
  • Technographics: e.g., HG Insights, BuiltWith for stack-based targeting.

“Waterfall” enrichment means querying multiple providers in sequence until you get a match, often pushing match rates above 80–85%.


How to choose

  • If you need the largest all-in-one B2B database:
    → ZoomInfo (enterprise), Apollo (SMB/mid-market).

  • If you’re EU-focused or compliance-sensitive:
    → Cognism, plus GDPR-friendly enrichment providers.

  • If you’re doing serious ABM with intent:
    → Combine 6sense or Bombora with a solid contact database.

  • If you sell based on tech stack:
    → Add HG Insights, BuiltWith, or Datanyze.

  • If you target startups and funded companies:
    → Add Crunchbase Pro or PitchBook.

If you tell me your ICP (industry, company size, region) and whether you’re more outbound-, ABM-, or enrichment-focused, I can suggest a minimal dataset stack and specific providers to start with.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (5 observations for this page). Metrics are distributions over observations, not a single static ranking.

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OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

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