Sales Intelligence: What It Is, How It Works, and 18 Tools You May Want to Try

60-Second Summary

Sales intelligence platforms are transforming B2B selling by centralizing real-time data, uncovering in-market accounts, and streamlining pipeline execution. The strongest solutions combine verified firmographics, contact data, technographics, and buyer intent with tight CRM integrations and AI scoring.

  • What it does: Unifies multi-source data (public records, third-party signals, first-party CRM and web analytics) into a single view of lead quality and buyer readiness.

  • Why it matters: Reps spend less time researching and more time in high-quality conversations.

  • Where to start: Shortlist tools with proven data accuracy, compliance, CRM sync, and customizable workflows.

  • Use cases: Prospecting, lead scoring, personalization, forecasting, and market positioning.

What is sales intelligence?

Sales intelligence is the practice of collecting, analyzing, and activating data about prospects, markets, and competitors to improve sales strategy and execution. It works alongside your CRM, enriching it with the context your team needs to find and win deals faster.

How does sales intelligence work?

Platforms ingest data from many sources, normalize it, and surface insights through filters, segments, and predictive models. Think of it like putting on the right pair of glasses—suddenly the right accounts, contacts, and moments to reach out come into focus.

Where does the data come from?

  • Public data & records: Websites, press releases, filings, social profiles.

  • Platform databases: Curated company/contact datasets, org charts, trade registers.

  • Web activity & tracking: Visitor identification, content downloads, ad interactions.

  • Third-party partnerships: Credit agencies, tech vendors, industry publishers.

  • Customer-driven (first-party) data: CRM updates, meeting notes, sales emails.

  • Other internal sources: Web analytics, marketing automation, social listening.

Common data types

  • Company data: size, industry, geo, revenue, structure, growth indicators.

  • Contact data: names, roles, verified emails/phones.

  • Technographics: products and stacks in use; change events.

  • Intent signals: research behavior that implies buying interest.

  • Trigger events: funding, hiring, expansions, leadership changes.

  • Behavioral data: engagement with your content and channels.

  • Deal intelligence: contracts, renewals, incumbent vendors.

  • Market data: trends, benchmarks, regulatory shifts.

Sales intelligence vs CRM: Understanding the differences



Aspect

CRM

Sales Intelligence

Primary purpose

Manage relationships and track deals

Discover new opportunities and enrich data

Data source

Mostly your team’s inputs

Aggregated external + first-party signals

When used

Daily execution across the cycle

Research, targeting, scoring, forecasting

Key benefit

Orchestrates the pipeline you have

Reveals and prioritizes the pipeline you want

Sales intelligence acts like a real-time circulatory system for your CRM—constantly refreshing records and pointing reps to the best next actions.

Why use a B2B sales intelligence platform?

  • Better leads: Focus on in-market accounts that match your ICP.

  • Automation: Save hours of manual research and enrichment.

  • Targeted messaging: Personalize by role, tech stack, and buying stage.

  • Competitive advantage: See which vendors prospects use and when they might switch.

  • Data-driven decisions: Improve territory plans, resource allocation, and forecasts.

Proshort POV: Proshort pairs call intelligence with deal and rep-readiness workflows—so insights don’t just enrich the CRM; they drive pre-meeting prep, objection handling, and follow-ups automatically for faster cycle times.

The best sales intelligence tools available in 2025

This list is for guidance only. All trademarks belong to their respective owners. Pricing and features can change—confirm on vendor sites before purchasing.

  1. Dealfront – Integrated suite including Leadfeeder for visitor identification; strong filtering, trigger alerts, and CRM integrations. GDPR-focused.
    Key benefits: company profiles, buyer intent from web visits, 100+ filters, trigger notifications.
    Pricing: Contact sales.

  2. Cognism – Global contact data with AI-assisted intent.
    Key benefits: large contact graph, AI intent, straightforward integrations.
    Considerations: cost and integration lift for smaller teams.
    Pricing: Custom.

  3. Apollo – Contact database + engagement (sequencing, email automation).
    Key benefits: large dataset, built-in outbound tools, CRM sync.
    Considerations: learning curve; variable accuracy.
    Pricing: Freemium; paid from ~$49/user/mo.

  4. ZoomInfo – Broad B2B data with advanced filters, intent, and CRM/partner integrations.
    Key benefits: scale, filtering, ecosystem.
    Considerations: expensive; accuracy varies by segment.
    Pricing: Custom.

  5. LinkedIn Sales Navigator – Prospecting via LinkedIn graph with alerts and recommendations.
    Key benefits: network access, search filters, live updates.
    Considerations: LinkedIn-only data; premium tiers can add up.
    Pricing: From ~$99.99/user/mo.

  6. Lusha – Simple, verified contact data via extension, CRM, and API.
    Key benefits: ease of use, verified contacts, integrations.
    Considerations: paywalled advanced features.
    Pricing: Freemium; paid from ~$37.45/user/mo.

  7. HubSpot Sales Hub – CRM with sales intel features (email tracking, meetings, pipeline).
    Key benefits: all-in-one GTM suite, usability.
    Considerations: setup complexity; costs scale with users/features.
    Pricing: Free tier; paid from ~$20/user/mo.

  8. Uplead – Contact data with real-time email verification and CRM sync.
    Key benefits: accuracy, UX, integrations.
    Considerations: higher costs at volume.
    Pricing: From ~$99/mo (credit-based).

  9. Clearbit – Enrichment APIs to segment, route, and update records in real time.
    Key benefits: enrichment depth, developer-friendly.
    Considerations: requires existing data; premium for full features.
    Pricing: Custom.

  10. Datanyze – Technographic + firmographic data (useful for vertical targeting).
    Key benefits: tech-stack insights, social capture via extension.
    Considerations: narrower beyond technographics.
    Pricing: 90-day trial; paid from ~$39/mo (annual).

  11. 6sense – Predictive intent and account prioritization with broad integrations.
    Key benefits: AI models, ABM alignment, Persona mapping.
    Considerations: complex; enterprise pricing.
    Pricing: Custom.

  12. D&B Hoovers – Deep company data/analytics and CRM integrations.
    Key benefits: market depth, analytics.
    Considerations: cost; heavier for basic needs.
    Pricing: Custom.

  13. Bombora – Intent data cooperative for content consumption signals.
    Key benefits: high-quality intent, prioritization.
    Considerations: needs a companion data source/tooling.
    Pricing: Custom.

  14. Drift – Conversational engagement (chatbots/live chat) that syncs with CRM.
    Key benefits: real-time lead capture, qualification, support.
    Considerations: setup/time; advanced features cost more.
    Pricing: Custom.

  15. Crystal – Personality insights for communication style guidance.
    Key benefits: personalization playbooks, CRM add-ons.
    Considerations: personality-only; uncertainty without other context.
    Pricing: Free basic; paid from ~$49/mo.

  16. Lead411 – Verified contacts with real-time email verification.
    Key benefits: accuracy and filters; CRM integrations.
    Considerations: coverage varies by industry; higher costs for volume.
    Pricing: From ~$99/user/mo for 200 credits.

  17. Hunter.io – Email discovery and verification (finder, domain search, extension).
    Key benefits: fast discovery/verification; easy integrations.
    Considerations: email-only; costs at scale.
    Pricing: Freemium; paid from ~$49/mo (500 searches).

  18. Kaspr – Pull emails/phones from LinkedIn with CRM enrichment.
    Key benefits: LinkedIn-native workflow, quick enrichment.
    Considerations: limited sources; higher tiers for volume.
    Pricing: Free trial; paid from ~€49/user/mo.

How to choose the best sales intelligence software for your business

Use this checklist during demos/trials:

  1. Data accuracy & coverage – Verify sample accounts against your ICP and regions.

  2. Compliance – Confirm GDPR/CCPA/DPDPA stance, consent model, storage locations.

  3. CRM & GTM integrations – Test bi-directional sync, dedupe rules, field mappings.

  4. Real-time updates – Check freshness SLAs, trigger events, identity resolution.

  5. Customization – Filters, scoring, routing, dashboards, API access.

  6. Scalability & cost – Seat/data pricing, contract flexibility, roadmap alignment.

  7. Support & onboarding – Implementation help, training, success resources.

  8. Analytics & reporting – Pipeline lift, coverage, conversion impact.

  9. Lead scoring – ICP and intent rule flexibility, explainability of scores.

  10. Export options – CSV, API, warehouse connectors, reverse ETL compatibility.

Proshort add-on: Connect your sales intelligence to Proshort to turn insights into action—pre-meeting summaries, real-time objection guidance, and auto-generated follow-ups mapped to your deals.

Disclaimer

This comparison is intended for guidance only and based on information available at the time of writing. Features and pricing may change. All trademarks are property of their respective owners, and no endorsement is implied

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Shorten deal cycles. Increase win rates. Elevate performance.

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