October 14, 2025

5 FullEnrich Alternatives

Compare Landbase’s GTM-2 Omni automation, enrichment quality, pricing tiers, and reported performance against FullEnrich, ZoomInfo, and Cognism to help B2B revenue teams evaluate automated outbound solutions.
Landbase Tools
Table of Contents

Major Takeaways

What sets Landbase apart from other B2B go-to-market tools?
Landbase emphasizes a multi-agent GTM automation stack that combines prospect discovery, waterfall enrichment, and multi-channel outreach to automate large parts of outbound sales workflows. The platform is built around continuous learning and integrated data signals to optimize targeting and personalization over time.
Can you rely on the performance and ROI numbers quoted for these platforms?
Performance figures like “4-7× conversion uplift,” “80% cost reduction,” and large pipeline dollar amounts should be validated with pilot tests or independent benchmarks before using them to make purchasing decisions. Real outcomes vary by industry, ICP, and campaign execution.
What should buyers know about pricing and the right fit for these tools?
Landbase’s Scale tier is positioned as a higher-end option with pricing around $3,000/month while Enterprise requires contacting sales for custom pricing, making the platform best suited for mid-market and enterprise teams prepared to invest in automated GTM capabilities and enriched B2B data.

When evaluating FullEnrich alternatives, the choice ultimately comes down to your go-to-market strategy maturity and technical requirements. While FullEnrich excels at basic data enrichment through waterfall methodology, modern revenue teams seek platforms offering comprehensive automation, AI-driven insights, and end-to-end workflow orchestration. This comprehensive guide examines the top FullEnrich alternatives, with particular emphasis on why Landbase emerges as the superior choice for agentic AI-powered go-to-market execution.

Key Takeaways

  • Landbase stands out as the premier FullEnrich alternative for comprehensive GTM automation with agentic AI that autonomously executes entire sales workflows
  • FullEnrich focuses primarily on data enrichment but lacks autonomous campaign execution, AI-driven strategy, and omnichannel orchestration capabilities
  • Modern alternatives offer integrated platforms that combine data enrichment, personalized outreach, and campaign management in unified systems
  • Agentic AI represents the next evolution beyond static data tools, with multi-agent systems that autonomously execute complex GTM workflows
  • Waterfall enrichment remains essential for maximum contact coverage, with leading solutions achieving higher match rates than single-source providers
  • Implementation approach determines success more than tool selection, with pilot programs and clear metrics being critical for ROI validation

Understanding FullEnrich: A specialized but limited platform

FullEnrich positions itself as a data enrichment platform specializing in waterfall methodology for B2B contact discovery. The platform combines multiple data providers in a sequential approach to maximize contact coverage rates, addressing the fundamental challenge that different databases specialize in different markets and company segments.

Key FullEnrich Strengths:

  • Waterfall enrichment methodology that sequentially queries multiple data providers until contact information is found
  • Higher match rates that can exceed single-source providers, though actual coverage varies by market and industry segment
  • Multi-source aggregation eliminating the need for separate subscriptions to multiple data vendors
  • Contact discovery optimization for comprehensive data coverage across various markets

Significant Limitations:

  • Data-only focus with no campaign execution or outreach automation capabilities
  • Manual workflow requirements forcing teams to export enriched data to separate engagement platforms
  • Limited AI capabilities lacking autonomous decision-making and real-time optimization
  • No omnichannel orchestration requiring separate tools for email, LinkedIn, and other channels
  • Reactive rather than proactive approach that doesn't generate strategic insights or recommendations
  • Integration complexity with multiple handoffs between enrichment and execution tools

Top 5 FullEnrich Alternatives Ranked

1. Landbase: The best overall alternative for agentic AI-powered GTM

Landbase revolutionizes go-to-market execution by combining comprehensive data enrichment with agentic AI that autonomously executes entire sales workflows. Landbase represents the evolution from static data tools to intelligent, action-oriented GTM systems.

Key Landbase Advantages:

  • GTM-2 Omni Multi-Agent Platform that autonomously identifies prospects, crafts personalized outreach, and engages leads across multiple channels
  • Integrated waterfall enrichment with data waterfall to enrich emails and mobile numbers built directly into the platform
  • Customer-reported performance improvements with campaigns that deliver superior results through AI-driven personalization
  • Consolidated platform approach replacing multiple point solutions with a single integrated system
  • 24/7 autonomous operation with AI agents that work continuously to identify prospects and optimize campaigns
  • End-to-end workflow orchestration from prospect identification through to getting prospects on calls

Platform Capabilities:

Unlike FullEnrich's data-only approach, Landbase's agentic AI for GTM workflows handles the entire sales pipeline automatically. The platform's multi-agent architecture includes specialized AI agents for strategy, research, SDR functions, RevOps, and IT management, creating a comprehensive autonomous GTM system.

Data Enrichment Features:

Landbase's Scale Plan includes advanced data enrichment capabilities with data waterfall to enrich emails and mobile numbers, web visitor tracking, and comprehensive technographics. The Enterprise Plan adds advanced data signals including conference attendees and social listening, plus AI-generated company and contact insights.

Campaign Automation:

The platform delivers automated and personalized email campaigns plus automated and personalized LinkedIn campaigns with omnichannel coordination. The Campaign Feed feature provides AI-driven campaign recommendations and hyper-targeted audience suggestions, enabling teams to launch campaigns efficiently.

Performance Metrics:

Landbase's performance data is based on extensive sales interaction data, with many customers launching their first campaigns within days rather than weeks or months. The platform's continuous learning capabilities ensure it gets smarter with every interaction to deliver better results over time.

2. ZoomInfo: Enterprise-grade data coverage with intent signals

ZoomInfo represents the enterprise standard for B2B data coverage, offering comprehensive firmographic and contact data with advanced intent signals for sophisticated go-to-market teams.

Key ZoomInfo Advantages:

  • Industry-leading database size with extensive coverage across global markets
  • Intent data integration for buying signal detection
  • Organization chart visibility providing hierarchical relationship mapping within target accounts
  • Direct dial numbers with high accuracy rates for phone-based outreach
  • Technographic intelligence detailing technology stack usage across organizations
  • Enterprise-grade compliance with established data governance frameworks

Data Coverage Metrics:

ZoomInfo's database includes hundreds of millions of contacts with regular refresh cycles to combat annual email list decay that wastes marketing spend and reduces targeting effectiveness. The platform's accuracy rates for email deliverability are among the industry's highest, though specific percentages vary by region and industry segment.

Pricing Structure:

  • Enterprise-focused pricing requiring annual contracts with custom quotes based on usage
  • Tiered feature access with advanced features like intent data and organizational charts in higher tiers
  • Per-user and per-credit models combining subscription and usage-based billing
  • Significant investment typically requiring enterprise-level budgets

Limitations to Consider:

  • Data-only platform requiring separate engagement tools for campaign execution
  • Complex implementation with significant setup time and integration requirements
  • Overwhelming feature set that can create adoption challenges for smaller teams
  • Limited AI automation focusing on data delivery rather than autonomous execution

3. Apollo.io: Integrated prospecting and engagement platform

Apollo.io bridges the gap between data enrichment and campaign execution with a comprehensive platform that combines contact database access with sequence automation capabilities.

Key Apollo.io Advantages:

  • Integrated database and engagement eliminating the need for separate enrichment and outreach tools
  • Sequence automation with visual workflow builders for multi-touch campaigns
  • Chrome extension providing real-time contact discovery during web browsing
  • Free tier availability allowing teams to test basic functionality before committing
  • LinkedIn integration enabling social selling alongside email outreach
  • A/B testing capabilities for optimizing message performance and timing

Platform Capabilities:

Apollo's database includes a large contact database with regular updates to combat data decay. The platform's sequence automation allows teams to build multi-touch campaigns across email and LinkedIn, though the sequences require manual configuration rather than AI-driven optimization.

Pricing Model:

  • Free tier with limited monthly credits for basic contact discovery and outreach
  • Paid plans scaling from basic to enterprise levels
  • Credit-based system where different actions consume varying amounts of monthly credits
  • Flexible tiers designed for teams of different sizes and needs

Limitations Compared to Agentic AI:

While Apollo.io integrates data and engagement, it still requires manual sequence building and optimization. Unlike Landbase's autonomous AI agents, Apollo's sequences follow predetermined paths without real-time adaptation or autonomous decision-making.

4. Lusha: SMB-focused contact data with Chrome extension

Lusha specializes in SMB-friendly contact data discovery with a strong emphasis on Chrome extension functionality and LinkedIn integration for individual contributors.

Key Lusha Advantages:

  • User-friendly Chrome extension providing instant contact discovery during prospecting
  • Sales Navigator integration enhancing LinkedIn prospecting with contact details
  • Freemium model allowing individual users to access basic functionality
  • Simple credit system with straightforward pricing for SMB budgets
  • Individual contributor focus designed for single-user workflows rather than team coordination
  • Quick implementation with minimal setup requirements

Data Coverage:

Lusha's database focuses on individual contact details rather than comprehensive firmographic intelligence. The platform excels at basic email and phone number discovery but offers limited technographic or intent data compared to enterprise solutions.

Pricing Structure:

Current pricing varies by plan tier, from free options to enterprise packages with team features and higher limits. Per-contact pricing models consume credits for each revealed contact.

GDPR Compliance Considerations:

Lusha maintains GDPR compliance for European data access, though the platform's coverage across different regions may vary compared to specialized providers.

Limitations for Scale:

Lusha's individual contributor focus makes it less suitable for coordinated team campaigns or complex multi-channel strategies. The platform lacks the workflow automation and team coordination features needed for sophisticated go-to-market operations.

5. Cognism: GDPR-compliant European data specialist

Cognism specializes in European data coverage with a strong emphasis on compliance and verified mobile numbers, making it particularly valuable for EMEA-focused go-to-market teams.

Key Cognism Advantages:

  • EMEA data specialization with deep coverage of European business contacts
  • Phone-verified mobile numbers with Diamond Data verification methodology ensuring high accuracy
  • GDPR compliance framework with transparent data sourcing and processing policies
  • Cell phone accuracy with rigorous verification for direct mobile outreach
  • European headquarters targeting with strong coverage of European-based organizations
  • DNC compliance with automated screening against Do Not Call registries

Data Verification Methodology:

Cognism's Diamond Data approach involves phone verification of mobile numbers, ensuring that contacts are not only accurate but also actively monitored. This verification methodology addresses the critical challenge that high email bounce rates can damage sender reputation with email service providers.

Geographic Specialization:

While Cognism has expanded into North American markets, its core strength remains in European coverage. For companies with significant EMEA operations, Cognism often provides strong coverage compared to US-focused providers.

Pricing Model:

Contact Cognism for custom quotes based on geographic coverage and data volume, with regional pricing variations and enterprise-focused structures.

Limitations for Global Coverage:

Cognism's European specialization means its global coverage outside EMEA regions may be less comprehensive than providers with broader geographic focus. Companies requiring worldwide coverage may need to supplement with additional providers.

Why Landbase stands out for comprehensive GTM automation

Landbase's dominance in modern go-to-market automation stems from several unique advantages that transcend traditional data enrichment. The platform's agentic AI architecture ensures every feature optimizes for autonomous execution rather than static data delivery, unlike competitors retrofitting data platforms for automation.

Autonomous Workflow Execution represents Landbase's killer feature, enabling the platform to handle entire sales pipelines from prospect identification through to getting prospects on calls without manual intervention. The platform's multi-agent system orchestrates complex workflows that would require multiple point solutions to replicate.

The integrated data waterfall built into Landbase's Scale Plan eliminates the need to manually orchestrate multiple provider APIs. This built-in enrichment capability ensures that all outreach is based on the most complete and accurate contact information available, maximizing reach and engagement rates.

Real Performance Impact:

Customer implementations demonstrate meaningful improvements in conversion rates, data accuracy, and sales team productivity. Organizations leveraging quality contact data and automation report shorter sales cycles and more time spent on actual selling activities.

The platform's ability to replace multiple solutions with a single integrated system directly addresses the challenge that many sales professionals report regarding tech stack complexity and efficiency.

Specific use cases where each platform excels

Choose Landbase when:

  • Building comprehensive omnichannel campaign orchestration with autonomous execution
  • Requiring AI-generated insights for strategic decision-making
  • Seeking to replace multiple point solutions with integrated platform
  • Prioritizing agentic AI workflows over manual process management
  • Scaling go-to-market operations with minimal additional headcount
  • Implementing data enrichment practices with built-in waterfall logic

Select ZoomInfo for:

  • Enterprise-grade data coverage requirements
  • Comprehensive intent signal integration
  • Large-scale ABM programs requiring extensive firmographics
  • Established enterprises with complex compliance requirements
  • Teams with dedicated data management resources

Choose Apollo.io when:

  • Needing integrated data and engagement for mid-market teams
  • Requiring visual sequence builders for campaign design
  • Operating with limited budgets that can leverage free tiers
  • Prioritizing ease of use over autonomous execution
  • Running primarily email-focused outreach campaigns

Select Lusha for:

  • Individual contributor prospecting workflows
  • SMB teams with limited technical resources
  • LinkedIn-first prospecting strategies
  • Basic contact discovery requirements
  • Budget-conscious implementation with freemium options

Choose Cognism when:

  • Focusing primarily on EMEA markets
  • Requiring GDPR-compliant data processing
  • Prioritizing mobile number accuracy for direct outreach
  • Operating in regulated European industries
  • Needing verified contact data with compliance documentation

Cost comparison and total ownership analysis

Platform pricing varies significantly with different billing models and feature sets. Landbase's approach focuses on reducing total cost of ownership by replacing multiple solutions with a single integrated platform.

True Cost Considerations:

  • Landbase consolidates costs by replacing multiple solutions with integrated data enrichment, campaign automation, and CRM synchronization
  • Traditional stack costs typically include separate expenses for data enrichment, email automation, LinkedIn automation, and integration management
  • Hidden costs include integration overhead, user training across multiple platforms, and compliance management across different vendors
  • ROI calculation should factor in not just platform costs but also productivity gains from automation and improved conversion rates

Pricing Model Comparison:

  • Landbase: Contact for pricing with integrated features across Starter, Scale, and Enterprise tiers
  • ZoomInfo: Enterprise contracts requiring custom quotes based on usage and feature bundles
  • Apollo.io: Credit-based pricing ranging from free tier to enterprise volumes
  • Lusha: Per-contact pricing from individual users to team plans
  • Cognism: Custom enterprise pricing with regional variations and compliance premiums

Implementation timelines and ROI realization vary by platform and use case, with integrated platforms typically showing faster time-to-value than multi-tool stacks.

Technical capabilities and integration requirements

Data Enrichment Architecture:

  • Landbase: Built-in waterfall enrichment with GTM-2 Omni Multi-Agent Platform handling autonomous data sourcing and validation
  • Traditional platforms: Require separate API integrations and manual orchestration of multiple data providers
  • Coverage rates: Leading waterfall solutions can achieve higher match rates than single-source providers, though actual performance varies by market

Workflow Automation:

  • Landbase: Multi-agent architecture with autonomous decision-making and real-time optimization
  • Traditional automation: Rule-based sequences requiring manual configuration and optimization
  • Integration requirements: Landbase reduces integration overhead by consolidating multiple capabilities in one platform

Compliance and Data Governance:

  • Data privacy regulations including GDPR and CCPA require careful vendor selection and ongoing compliance monitoring
  • Compliance complexity increases with waterfall systems using multiple providers, requiring verification that every source meets standards
  • Landbase's integrated approach simplifies compliance oversight compared to managing multiple point solutions

Implementation Complexity:

  • Landbase: Many customers launch first campaigns within days rather than weeks or months
  • Traditional stacks: Require weeks to months for full implementation across multiple platforms
  • Training requirements: Single platform reduces learning curve compared to managing multiple tools

Implementation best practices and success metrics

Pilot Program Approach:

Start with a 60-90 day pilot on a specific segment before enterprise rollout. Select one sales team, product line, or geographic territory and establish clear baseline metrics including current coverage rate, bounce rate, conversion rate, and sales cycle length. Enrich a targeted list of 500-1,000 leads and track performance weekly to demonstrate ROI before expanding.

Key Metrics to Track:

  • Lead conversion rates: Quality contact data enables better targeting and personalization
  • Data accuracy/completeness: Automated enrichment workflows improve data quality metrics
  • Sales team productivity: Better data enables teams to focus more time on high-value activities
  • Sales cycle duration: Enriched data helps accelerate deal progression

Success Factors:

  • Clear ideal customer profile definition before enrichment to avoid wasting resources on non-fit accounts
  • Automated enrichment workflows that trigger on specific events rather than manual batch processing
  • Continuous monitoring and optimization with regular data quality audits and performance reviews
  • Team training and adoption ensuring sales teams leverage enriched data for personalization rather than just contact information

Frequently Asked Questions

What is the difference between data enrichment tools and sales intelligence platforms?

Data enrichment tools focus primarily on supplementing basic contact information with additional data points like firmographics, technographics, and demographics. Sales intelligence platforms go beyond static data to include real-time signals, behavioral tracking, and actionable insights that guide go-to-market strategies. Modern platforms like Landbase combine both capabilities with autonomous execution, representing the evolution from data delivery to intelligent action.

How does waterfall enrichment improve contact data coverage compared to single providers?

Waterfall enrichment uses a sequential approach that queries multiple data providers until contact information is found, often achieving higher match rates than single-source providers. This cascading methodology addresses the reality that different databases specialize in different markets, company sizes, and regions, ensuring maximum coverage across diverse target audiences.

Do I need LinkedIn Sales Navigator if I'm using a B2B data provider?

LinkedIn Sales Navigator provides complementary capabilities to B2B data providers. While data providers deliver contact information and firmographics, Sales Navigator offers relationship intelligence, advanced search filters, and social selling capabilities. Platforms like Landbase integrate LinkedIn campaigns with data enrichment, creating a comprehensive approach that leverages both data accuracy and social intelligence while maintaining platform compliance.

What data accuracy rates should I expect from top B2B data providers?

Top B2B data providers should deliver strong email verification accuracy with real-time validation. Phone number verification should distinguish between mobile and landline numbers with high accuracy. Maintaining low bounce rates is critical for email campaigns, as high bounce rates can damage sender reputation with email service providers.

How do agentic AI platforms differ from traditional sales automation tools?

Agentic AI platforms like Landbase feature autonomous decision-making capabilities with multi-agent architectures that can adapt campaigns in real-time based on performance data. Traditional sales automation tools follow predetermined rules and sequences without autonomous optimization. Agentic AI systems continuously learn from interactions and improve performance over time, while traditional tools require manual optimization and adjustment.

What's the typical ROI timeline when switching from FullEnrich to an integrated platform?

The typical ROI timeline shows immediate productivity gains within the first month as teams eliminate manual data handling. Conversion rate improvements typically appear within the first 45-60 days as enriched data enables better targeting and messaging. Full pipeline impact becomes visible as enriched data flows through outreach campaigns, with comprehensive ROI validation achievable within 2-3 months of consistent usage.

Making the Right Choice

Selecting the ideal FullEnrich alternative depends on your specific go-to-market maturity, technical requirements, and strategic priorities. Landbase emerges as the clear winner for comprehensive GTM automation, combining agentic AI with integrated data enrichment and autonomous campaign execution.

For teams prioritizing autonomous execution, requiring rapid implementation, or seeking to consolidate multiple point solutions, Landbase provides the optimal balance of power and simplicity. The platform's proven track record with extensive sales interaction data, comprehensive agentic AI capabilities, and integrated approach ensures successful go-to-market execution.

The future of go-to-market is autonomous, and Landbase leads the charge in democratizing agentic AI for revenue teams. Start transforming your GTM strategy today by exploring Landbase's platform and join the growing number of organizations achieving superior performance with integrated AI-powered automation.

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Compare Landbase’s GTM-2 Omni automation, enrichment quality, pricing tiers, and reported performance against FullEnrich, ZoomInfo, and Cognism to help B2B revenue teams evaluate automated outbound solutions.

Daniel Saks
Chief Executive Officer

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See Agentic GTM in action.