AI SDR

Leadfeeder (Dealfront)

by Dealfront

★4.5

472 reviews

Website visitor identification platform that reveals companies visiting your site and provides contact data for follow-up

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📌Key Takeaways

1Leadfeeder (Dealfront) is a ai sdr AI agent by Dealfront, founded in 2012.
2Website visitor identification platform that reveals companies visiting your site and provides contact data for follow-up
3Top strengths: Real-Time Visitor Identification: Leadfeeder's real-time visitor identification technology captures and processes website visitor data the moment someone lands on your site, matching I...; Decision-Maker Contact Discovery: Once a company is identified, Leadfeeder automatically surfaces the key decision-makers within that organization who are most likely involved in purch....
4Rated 4.5/5 based on 472 reviews.

Overview

Leadfeeder, now part of the Dealfront platform, is a sophisticated B2B lead generation and website visitor identification solution that transforms anonymous website traffic into actionable sales intelligence. At its core, Leadfeeder solves one of the most persistent challenges in B2B marketing: the fact that approximately 98% of website visitors leave without filling out a form or identifying themselves. By leveraging advanced IP tracking technology and matching visitor data against a comprehensive database of over 500 million companies, Leadfeeder reveals which organizations are actively researching your products and services. The platform goes far beyond simple company identification. Leadfeeder enriches each identified visitor with comprehensive firmographic data including company size, industry classification, annual revenue, geographic location, and technology stack. More importantly, it maps these company visits to specific decision-makers within the organization, providing sales teams with verified contact information including email addresses, phone numbers, LinkedIn profiles, and job titles. This enables sales representatives to reach out to the right person at the right time with highly personalized messaging based on the specific pages and content the prospect engaged with. Leadfeeder's behavioral analytics engine tracks visitor engagement patterns including page views, time spent on site, repeat visits, and specific content interactions. This data feeds into a sophisticated lead scoring system that identifies high-intent prospects based on behaviors associated with buying readiness—such as visiting pricing pages, viewing case studies, or returning multiple times within a short period. Sales teams receive real-time notifications when high-value prospects visit, enabling immediate follow-up while interest is at its peak. The platform integrates seamlessly with major CRM systems including Salesforce, HubSpot, Pipedrive, and Microsoft Dynamics, automatically creating leads and syncing engagement data to maintain a complete picture of prospect interactions. For marketing teams, Leadfeeder provides invaluable insights into which campaigns and content are attracting the most qualified visitors, enabling data-driven optimization of marketing spend. Whether you're a B2B SaaS company looking to accelerate pipeline growth, a professional services firm seeking to identify potential clients, or an enterprise organization wanting to maximize the ROI of your digital marketing investments, Leadfeeder provides the visibility and intelligence needed to convert website visitors into revenue-generating customers.

🎯 Key Differentiator

AI-Extracted

Anonymous Website Visitor Identification with Company and Decision-Maker Mapping

Leadfeeder's core differentiator is its ability to identify anonymous website visitors at the company level and map them to specific decision-makers and their roles within the organization. Unlike competitors that only track company visits without providing actionable contact information, Leadfeeder provides enriched contact data including job titles, verified email addresses, phone numbers, and LinkedIn profiles, along with buying intent signals derived from visitor behavior. This capability is powered by their integration with over 500 business databases and their proprietary AI matching engine that correlates visitor behavior patterns to company profiles with industry-leading accuracy. According to customer testimonials, this enables sales teams to reach out to the right person at the right time with personalized messaging, resulting in 3-5x higher response rates compared to cold outreach. The platform's unique combination of visitor identification, contact enrichment, and behavioral intent scoring creates a comprehensive solution that competitors struggle to match.

This differentiator was AI-extracted from competitive research.

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Last verified: January 27, 2026

Key Features

Real-Time Visitor Identification

Leadfeeder's real-time visitor identification technology captures and processes website visitor data the moment someone lands on your site, matching IP addresses against a proprietary database of over 500 million companies worldwide. The system goes beyond simple IP lookup by employing multiple data sources and machine learning algorithms to achieve higher match rates than competitors. When a visitor arrives, Leadfeeder instantly identifies the company, enriches the record with firmographic data, and alerts your sales team through customizable notifications. This enables immediate follow-up while the prospect's interest is at its peak, dramatically improving response rates and conversion potential. Convert anonymous website traffic into identified sales opportunities within seconds of a prospect visiting your site.

Decision-Maker Contact Discovery

Once a company is identified, Leadfeeder automatically surfaces the key decision-makers within that organization who are most likely involved in purchasing decisions. The platform cross-references company data against databases of over 500 million professionals to identify individuals by job title, department, and seniority level. For each decision-maker, Leadfeeder provides verified contact information including business email addresses, direct phone numbers, and LinkedIn profile URLs. The AI-powered relevance ranking ensures sales teams focus on the most appropriate contacts based on your typical buyer persona and the specific pages the company visited. Skip the research phase and immediately connect with the right stakeholders at companies showing interest in your solutions.

Behavioral Intent Scoring

Leadfeeder's behavioral intent scoring engine analyzes visitor engagement patterns to identify prospects demonstrating genuine buying intent versus casual browsers. The system tracks granular behaviors including specific pages viewed, time spent on high-value content like pricing and case studies, scroll depth, repeat visit frequency, and engagement velocity. Machine learning models trained on conversion data assign weighted scores to different behaviors, creating a comprehensive lead score that prioritizes the hottest prospects. Sales teams can configure custom scoring rules based on their unique sales cycle and buyer journey, ensuring the scoring reflects their specific definition of a qualified lead. Focus sales efforts on prospects most likely to convert by identifying high-intent behaviors that signal buying readiness.

Native CRM Integrations

Leadfeeder offers deep, native integrations with major CRM platforms including Salesforce, HubSpot, Pipedrive, Microsoft Dynamics, and Zoho CRM. These integrations go beyond simple data export by automatically creating new leads or updating existing records in real-time, syncing visitor engagement data as activities on contact timelines, and enabling bi-directional data flow. Custom field mapping allows organizations to store Leadfeeder data in their preferred CRM structure, while automation rules can trigger workflows based on visitor behavior. The integrations maintain data consistency across systems and eliminate manual data entry, ensuring sales teams always have the latest visitor intelligence at their fingertips. Seamlessly incorporate website visitor intelligence into existing sales workflows without disrupting established processes.

Custom Lead Filtering and Segmentation

Leadfeeder provides powerful filtering and segmentation capabilities that enable sales and marketing teams to organize identified visitors based on any combination of firmographic and behavioral criteria. Users can create dynamic lead lists filtered by company size, industry, geographic location, technology stack, engagement level, specific pages visited, and dozens of other attributes. These segments update automatically as new visitor data arrives, ensuring lists always reflect the latest activity. Segmented lists can be exported for use in email campaigns, assigned to specific sales representatives based on territory rules, or used to trigger automated workflows in connected marketing automation platforms. Organize and prioritize leads efficiently by creating targeted segments that align with your ideal customer profile and sales territories.

Pros & Cons

Pros

+Real-Time Visitor Identification: Leadfeeder's real-time visitor identification technology captures and processes website visitor data the moment someone lands on your site, matching I...
+Decision-Maker Contact Discovery: Once a company is identified, Leadfeeder automatically surfaces the key decision-makers within that organization who are most likely involved in purch...
+Behavioral Intent Scoring: Leadfeeder's behavioral intent scoring engine analyzes visitor engagement patterns to identify prospects demonstrating genuine buying intent versus ca...
+Native CRM Integrations: Leadfeeder offers deep, native integrations with major CRM platforms including Salesforce, HubSpot, Pipedrive, Microsoft Dynamics, and Zoho CRM. These...
+Custom Lead Filtering and Segmentation: Leadfeeder provides powerful filtering and segmentation capabilities that enable sales and marketing teams to organize identified visitors based on an...

Cons

−Learning curve for advanced automation features - optimal configuration may require experimentation and iteration.
−Data accuracy varies by region - international markets may have less comprehensive or current contact information.
−AI-generated content requires human review to ensure accuracy and brand voice consistency.

Use Cases

Explore all AI SDR use cases →

AI SDR: Automated Outbound Prospecting→

Sales teams spend hours manually researching prospects, finding contact information, and crafting personalized outreach messages. This manual process limits the volume of outreach and reduces time available for high-value activities like closing deals.

Lead Qualification and Scoring→

Sales reps waste time chasing unqualified leads, resulting in low conversion rates and inefficient resource allocation. Manual lead scoring is inconsistent and doesn't adapt to changing buyer signals.

Frequently Asked Questions

Leadfeeder (Dealfront) offers: Real-Time Visitor Identification: Leadfeeder's real-time visitor identification technology captures and processes website visitor data. Decision-Maker Contact Discovery: Once a company is identified, Leadfeeder automatically surfaces the key decision-makers within that . Behavioral Intent Scoring: Leadfeeder's behavioral intent scoring engine analyzes visitor engagement patterns to identify prosp. Native CRM Integrations: Leadfeeder offers deep, native integrations with major CRM platforms including Salesforce, HubSpot, . Custom Lead Filtering and Segmentation: Leadfeeder provides powerful filtering and segmentation capabilities that enable sales and marketing.

1. Real-Time Visitor Identification: Leadfeeder's real-time visitor identification technology captures and processes website visitor data the moment someone lands on your site, matching I... 2. Decision-Maker Contact Discovery: Once a company is identified, Leadfeeder automatically surfaces the key decision-makers within that organization who are most likely involved in purch... 3. Behavioral Intent Scoring: Leadfeeder's behavioral intent scoring engine analyzes visitor engagement patterns to identify prospects demonstrating genuine buying intent versus ca...

1. Learning curve for advanced automation features - optimal configuration may require experimentation and iteration. 2. Data accuracy varies by region - international markets may have less comprehensive or current contact information. 3. AI-generated content requires human review to ensure accuracy and brand voice consistency.

Leadfeeder (Dealfront) was founded in 2012. The company has raised Merged with Echobot (Dealfront). This varies based on your specific requirements, industry, company size, and use case. For detailed information tailored to your situation, consult with the vendor or implementation partner who can provide guidance based on their experience with similar organizations. Most providers offer demos, trials, or consultations to help you evaluate fit before committing.

Leadfeeder (Dealfront) uses a freemium pricing model. This varies based on your specific requirements, industry, company size, and use case. For detailed information tailored to your situation, consult with the vendor or implementation partner who can provide guidance based on their experience with similar organizations. Most providers offer demos, trials, or consultations to help you evaluate fit before committing.

Common use cases for Leadfeeder (Dealfront) include: Website visitor identification, Company reveal technology. For example, Use Leadfeeder (Dealfront) for website visitor identification...

Anonymous Website Visitor Identification with Company and Decision-Maker Mapping. Leadfeeder's core differentiator is its ability to identify anonymous website visitors at the company level and map them to specific decision-makers and their roles within the organization. Unlike competitors that only track company visits without providing actionable contact information, Leadfeeder provides enriched contact data including job titles, verified email addresses, phone numbers, and LinkedIn profiles, along with buying intent signals derived from visitor behavior. This capability is powered by their integration with over 500 business databases and their proprietary AI matching engine that correlates visitor behavior patterns to company profiles with industry-leading accuracy. According to customer testimonials, this enables sales teams to reach out to the right person at the right time with personalized messaging, resulting in 3-5x higher response rates compared to cold outreach. The platform's unique combination of visitor identification, contact enrichment, and behavioral intent scoring creates a comprehensive solution that competitors struggle to match.