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Cleanlist: AI-driven GTM platform for clean, enriched, verified leads boosting sales efficiency.
Cleanlist is a modern data operating system built for go-to-market (GTM) teams that want to scale outbound, inbound, ABM, and lifecycle campaigns on clean, verified, and actionable data. Positioned as “The GTM Playbook Engine built on clean data,” the platform enables companies to upload leads, enrich them with verified emails and phone numbers, score them against their ideal customer profile (ICP), and sync everything directly into their CRM and outbound tools—ready to execute in minutes.
At its core, Cleanlist combines multi-provider waterfall enrichment with AI-powered automation. Instead of relying on a single data vendor, the platform cascades across 15+ premium providers to maximize coverage and accuracy. This waterfall logic ensures users only pay for matched results while achieving up to 95% email coverage and an 85% phone find rate. Every record passes through triple email verification—including catch-all detection—so sales teams can confidently launch campaigns without worrying about bounce rates or data decay.
Cleanlist is trusted by over 500 companies, including well-known brands such as Canva, Shopify, and Uber. These organizations rely on Growth-Led Outbound strategies powered by accurate contact data and streamlined execution.
The platform supports multiple lead acquisition workflows. Teams can bulk extract prospects from LinkedIn Sales Navigator saved lists, upload CSV files, use a Chrome extension to scrape profiles, or run people searches directly inside the interface. Once extracted, leads automatically flow through enrichment, verification, normalization, and scoring. Missing fields—such as email, phone, title, or LinkedIn URL—are completed in seconds, transforming incomplete records into 100% enriched profiles.
Beyond enrichment, Cleanlist provides pre-built, executable GTM playbooks. Instead of building complex workflows from scratch, teams can deploy proven motions—outbound sales, ABM campaigns, event follow-ups, inbound qualification, and CRM cleanup—with a single click. Each playbook includes extraction, enrichment, ICP scoring, and real-time synchronization with downstream tools. This eliminates the need for a dedicated GTM engineer and dramatically reduces time-to-launch.
AI-powered Smart Agents further enhance the platform. Users can normalize messy job titles, categorize industries, parse names, format phone numbers, and even conduct AI-led research across public databases. Intent signals—such as job changes or website visits—trigger instant actions, allowing sales and marketing teams to engage prospects at the right moment with relevant messaging.
Cleanlist integrates natively with 15+ tools across CRM, sales engagement, and marketing categories. These include platforms like HubSpot, Pipedrive, Salesloft, and ActiveCampaign. With one-click setup and real-time synchronization, enriched contacts move seamlessly into existing stacks—no manual exports or data silos required. For custom environments, REST APIs and webhooks are also available.
Unlike workflow builders such as Clay or enrichment-first tools like Apollo, Cleanlist combines pre-built playbooks, multi-provider enrichment, orchestration, and execution in one unified system. The result is a fully operational GTM engine rather than a collection of disconnected tools.
Pricing is simple and credit-based: one email equals one credit, and one phone number equals ten credits. Plans range from a free tier with 30 monthly credits to enterprise packages offering 10,000 credits, dedicated onboarding, and priority support. There are no hidden fees, and users can get started in minutes without a credit card.
Ultimately, Cleanlist empowers modern sales, RevOps, and marketing teams to clean, verify, enrich, score, and activate their data with up to 98% accuracy. By transforming fragmented prospect information into structured, enriched, and deployable records, Cleanlist helps organizations double qualified meetings, increase reply rates, and eliminate CRM decay—turning raw data into predictable revenue growth.