Top 10 Lead Scoring Agencies for Marketing Agencies (2025)

Based on available information, HubSpot provides an all-in-one inbound marketing platform that includes built-in lead scoring features as part of its marketing hub. The company focuses on helping businesses attract, engage, and delight customers through content marketing, SEO, and email automation, with lead scoring integrated to prioritize prospects based on predefined criteria like page views and form submissions. HubSpot serves a wide range of businesses, including marketing agencies, by offering tools that align sales and marketing teams. HubSpot's lead scoring is rule-based and can incorporate behavioral data, allowing users to assign points to actions such as email opens or website interactions. It integrates with their CRM to track lead progression, making it suitable for agencies managing client campaigns. Limited public information is available on advanced customizations beyond their standard platform. The platform emphasizes ease of use for non-technical users, with dashboards for monitoring lead scores and workflows for nurturing.

Based on available information, Marketo, now part of Adobe Experience Cloud, offers marketing automation software with advanced lead scoring capabilities designed for B2B marketing. The platform uses machine learning to predict lead quality based on engagement, demographics, and firmographics, helping marketing teams score and prioritize leads across campaigns. It serves enterprises and agencies handling complex, multi-touch attribution scenarios. Marketo's lead scoring model allows for both explicit and implicit scoring rules, integrating with Adobe's ecosystem for personalized content delivery. Agencies can use it to manage lead databases and automate scoring updates in real-time. Service details beyond core automation are not extensively disclosed in public sources. The focus is on revenue-focused marketing, with tools for lead lifecycle management and reporting on scoring effectiveness.

Based on available information, Pardot is Salesforce's B2B marketing automation platform featuring lead scoring to qualify prospects based on actions and profile data. It helps marketing agencies align with sales teams by scoring leads on engagement levels, such as email interactions and website visits, within the Salesforce ecosystem. Pardot targets businesses needing CRM-integrated solutions for lead management. The lead scoring functionality supports custom rules and predictive models through Einstein AI, enabling agencies to forecast lead potential. It includes tools for list segmentation and ROI tracking tied to scores. Limited details on bespoke customizations are available publicly. Pardot emphasizes seamless Salesforce integration for end-to-end lead nurturing and qualification.

Based on available information, MadKudu specializes in AI-powered lead scoring for sales and marketing teams, using machine learning to score leads based on historical conversion data and behavioral signals. The platform is designed for B2B companies, including marketing agencies, to improve pipeline efficiency by identifying high-quality prospects early. It focuses on reducing manual review time through automated predictions. MadKudu integrates with CRMs like Salesforce and HubSpot to enrich and score leads in real-time, providing scores that predict deal closure probability. Agencies can use it for client campaign optimization. Public information on specific service models is limited. The approach prioritizes data-driven insights over rule-based systems, with dashboards for score analysis.

Based on available information, 6sense provides account-based marketing orchestration with predictive lead and account scoring using AI to analyze buyer intent signals and firmographics. It serves marketing agencies and B2B teams by uncovering hidden buying signals across the revenue cycle. The platform focuses on account prioritization for targeted campaigns. 6sense's scoring model uses big data to rank accounts and leads by purchase readiness, integrating with sales tools for orchestration. Agencies benefit from its emphasis on ABM strategies. Detailed service customizations are not publicly detailed. It offers real-time intent data and predictive analytics to enhance lead quality.

Based on available information, Leadspace offers AI-driven B2B customer data platforms with lead scoring to match and qualify prospects using graph-based matching and predictive analytics. It helps marketing agencies build accurate buyer profiles and score leads based on fit and intent. The platform targets data-intensive B2B environments. Leadspace integrates with marketing tools to automate scoring and enrichment, focusing on reducing bad leads through data hygiene. Public details on agency-specific services are limited. It emphasizes unified customer views for better lead prioritization and personalization.

Based on available information, ZoomInfo provides B2B intelligence with lead scoring capabilities through its salesOS platform, using contact and company data to score leads on intent and fit. It serves marketing agencies by enabling targeted outreach and campaign personalization. The focus is on comprehensive data for revenue teams. ZoomInfo's scoring leverages intent signals and firmographics, integrating with CRMs for lead routing. Agencies use it for prospecting and enrichment. Specific scoring customizations are not detailed publicly. The platform includes tools for scooping and alerting on high-potential leads.

Based on available information, Infer, acquired by Pegasystems, delivers predictive lead scoring using AI to analyze millions of data points for B2B lead qualification. It helps marketing teams score leads based on conversion likelihood, serving agencies with data-heavy campaigns. The platform emphasizes accuracy in predicting buyer behavior. Infer integrates with marketing automation tools to apply scores in workflows, focusing on reducing sales cycle times. Limited current public information is available post-acquisition. It provides actionable insights through scoring models trained on historical data.

Based on available information, Dun & Bradstreet, through its acquisition of Lattice Engines, offers predictive analytics and lead scoring for B2B risk and opportunity assessment. It uses data networks to score leads and accounts based on financial health and market signals, aiding marketing agencies in qualified targeting. The platform focuses on enterprise data solutions. The scoring integrates with CRM systems for lead prioritization, emphasizing data-driven decisions. Public details on marketing-specific applications are limited. It provides global business intelligence for enhanced lead quality.