Fuel Your PLG and Outbound Motions With Verified Data
SaaS companies run multiple GTM motions simultaneously: PLG, outbound, ABM, partnerships. Cleanlist delivers the firmographic, technographic, and contact data each motion demands through a single credit-based platform.
SaaS companies need enrichment across multiple GTM motions: firmographics for ABM targeting, technographics for competitive displacement, verified emails for outbound, and ICP scoring for PLG qualification. Cleanlist consolidates all of this into one waterfall platform with 15+ data sources, 98% email accuracy, ICP scoring, and intelligent prospect search. Replace 3-5 point solutions with a single credit-based bill.
Why SaaS Companies Need Different Enrichment
Why SaaS GTM teams juggle too many tools for PLG and outbound data.
Multiple GTM Motions Need Different Data
PLG requires product signup enrichment for lead scoring. Outbound needs verified emails and direct dials. ABM demands firmographic and technographic data for account targeting. Most tools serve one motion well and the rest poorly.
ICP Targeting Requires Layered Data
SaaS companies need to combine company size, industry, technology stack, funding stage, and growth signals to identify ideal customers. Single-source databases provide some of these fields but rarely all of them for the same account.
Tool Sprawl Across the Data Stack
A typical SaaS GTM team juggles ZoomInfo for contacts, Clearbit for firmographics, BuiltWith for technographics, and Hunter for email verification. That is four vendors, four invoices, four integrations, and four data formats to reconcile.
Data Quality Directly Impacts CAC
Bad contact data cascades through the entire funnel. Bounced emails damage domain reputation. Wrong firmographics waste AE time on unqualified accounts. SaaS companies with 15%+ bounce rates see 2-3x higher cost per qualified meeting.
How Cleanlist Fits
How Cleanlist unifies PLG signup enrichment and outbound prospecting in one platform.
98% Email Accuracy
Every email goes through 15+ source waterfall enrichment followed by triple verification: syntax, domain, and mailbox check. SaaS outbound teams see bounce rates drop from 15%+ to under 2%, protecting domain reputation and improving deliverability.
AI Search for ICP Targeting
Describe your ideal customer in natural language and Cleanlist's AI finds matching companies and contacts. Target by tech stack, funding stage, employee count, and growth signals with no boolean query building required.
ICP Scoring on Every Contact
Automatically score enriched contacts against your ideal customer profile. Prioritize outreach to high-fit accounts and route PLG signups to sales based on firmographic match, not just engagement signals.
One Platform, One Credit Bill
Replace separate subscriptions for contact data, firmographics, technographics, and email verification. Cleanlist's waterfall delivers all of it in one enrichment credit. Fewer vendors, cleaner data stack, lower total cost.
Why teams like yours choose Cleanlist
Trusted by 1,500+ GTM teams including Datadog, Twilio, ServiceTitan, Reply.io, Upfluence.
“Our entire GTM team lives off Cleanlist now. We replaced 5+ tools, deals are 30% bigger, and reps are doing 50% more volume.”
Ruslan Valeev
Senior Director, Revenue Operations, Float
5+
Tools replaced
“Speed to lead is now minutes with perfect data quality. We doubled inbound deals and convert 30% better.”
Evan Santa
VP of Sales, Proposify
2x
Inbound deals
Waterfall enrichment from 15+ sources with triple verification delivers 98% email deliverability for SaaS outbound.
How Alternatives Compare
Comparing enrichment tools built for multi-motion SaaS go-to-market teams.
Apollo
Strength: All-in-one prospecting with built-in sequences; popular with SaaS startups
Limitation: Single-source database (73% email accuracy); per-seat pricing adds up as team scales
ZoomInfo
Strength: Largest B2B database with intent data and advanced ABM features
Limitation: $15K+/year minimum, annual contracts, per-seat pricing; overkill for sub-200 employee SaaS companies
Clearbit
Strength: Strong firmographic and technographic enrichment; built for SaaS PLG use cases
Limitation: Now Breeze Intelligence (HubSpot-only); single source; no phone numbers; limited to HubSpot ecosystem
Frequently Asked Questions
How does Cleanlist help with PLG lead scoring?
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When a user signs up for your product, Cleanlist enriches their profile with company size, industry, revenue, funding stage, and technology stack. Your sales team sees an ICP score on every signup and can prioritize outreach to accounts that match your ideal customer profile, turning product signups into qualified pipeline without manual research.
Can Cleanlist provide technographic data?
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Yes. Cleanlist's waterfall includes sources that track technology stacks. You can see what tools a company uses (CRM, marketing automation, analytics, cloud infrastructure), which is critical for competitive displacement campaigns and product integration targeting.
How does Cleanlist compare to Apollo for SaaS teams?
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Apollo is popular with SaaS startups for its all-in-one approach (data + sequences + CRM). But its single-source database averages 73% email accuracy, and per-seat pricing ($49-119/user/mo) gets expensive at 5+ reps. Cleanlist delivers 98% email accuracy from 15+ sources with no per-seat fees. Use Cleanlist for data and your preferred tool for sequences.
Does Cleanlist integrate with our existing SaaS stack?
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Cleanlist integrates with HubSpot, Salesforce, and Pipedrive natively. For other tools in your stack, use CSV export/import or our REST API. Most SaaS teams connect Cleanlist to their CRM and build enrichment into their lead-to-pipeline workflow within a day.
What SaaS companies use Cleanlist?
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Cleanlist serves SaaS companies from seed-stage to mid-market. Customers include PLG companies enriching product signups, outbound-heavy teams running multi-channel sequences, and RevOps teams maintaining CRM data hygiene. Our sweet spot is SaaS companies with sub-300 employees running both PLG and outbound motions.
Running PLG and outbound but enriching data in two separate tools?
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