Stop wasting time on low-quality leads. Our AI Lead Scoring Agent revolutionizes how sales teams prioritize prospects with deep data intelligence, custom rules, behavioral analysis, and predictive modeling to automatically identify and rank leads based on their likelihood to convert.
Processing leads
Analyzing lead behavior and engagement patterns to identify high-conversion prospects...
This lead shows strong buying signals: visited pricing page 3x, opened 5 emails, works at target company size.
Lead Priority Distribution:
Our AI Lead Scoring Agent automates evaluating leads based on a combination of firmographic, demographic, behavioral, and intent-based data. Instead of wasting time on unqualified prospects, your sales reps receive a ranked, updated list of high-potential leads.
Monitors lead interactions across multiple touchpoints including emails, forms, website visits, and other engagement channels.
Collects and analyzes engagement signals to understand lead behavior patterns and buying intent indicators.
Uses predefined and adaptive scoring models to rank leads based on their likelihood to convert into customers.
Continuously updates lead scores in real-time as new data and interactions become available.
Triggers follow-ups and routes high-value leads to the right sales agents automatically based on scoring thresholds.
Routes qualified leads to appropriate sales representatives based on territory, deal size, and expertise areas.
Our AI Lead Scoring solution offers sophisticated capabilities that transform how sales teams identify and prioritize high-potential prospects.
Uses machine learning models to predict a lead's likelihood to convert based on past interactions, similar lead behaviors, industry benchmarks, and your historical CRM data. The AI adapts to your conversion patterns and improves accuracy over time.
Define your lead scoring parameters using our intuitive no-code UI or prompt-based configuration. Score leads based on industry, company size, email domain, actions taken, or any custom logic tailored to your Ideal Customer Profile (ICP).
Automatically updates lead scores when a new data point is received (e.g., a lead opens an email, books a meeting, or visits a pricing page). Triggers can be initiated via webhook, email tracking pixel, or CRM event.
Uses machine learning to identify historical patterns in your CRM and sales outcomes. If your highest-converting customers often come from healthcare companies with >200 employees and visit pricing pages 3+ times, the agent will recognize and prioritize similar profiles.
Once a lead is scored, our system can instantly trigger next steps: assign to a specific rep, notify via Slack, send CRM tasks, or push to marketing automation. Routing rules can be based on territory, deal size, lead score, or product interest.
Using Retrieval-Augmented Generation (RAG), the agent can pull external or internal context, such as competitor information, industry news, or historical customer case studies, to enhance its scoring logic and make it more context-aware.
Before scoring, the agent can enrich lead data via integrations with tools like Clearbit, ZoomInfo, or your internal database. Missing firmographic or demographic data is automatically filled in to create a complete picture of each lead.
The same lead might look more promising at different funnel stages. Our agent can update scores dynamically as a lead progresses, considering re-engagement, reply rates, or meeting bookings to adjust the score accordingly.
Define or edit lead scoring logic using simple prompts, such as "Prioritize leads from IT companies with more than 50 employees who opened at least 2 emails." RhinoAgents translates this into machine-executable logic.
RhinoAgents ensures smooth and scalable integrations with your existing tools through API connectivity, allowing you to control data formatting and workflows completely.
Our no-code builder allows for setup of all integrations with flexible API framework.
Our AI Lead Scoring solution offers unique advantages that set us apart in the sales automation space.
Unlike generic email tools, our agent is engineered for B2B sales dynamics, especially for SDRs and growth marketers targeting mid-market to enterprise clients.
Build and launch your own lead scoring agent in under 30 minutes—even if you're not a developer. Our intuitive interface makes complex scoring logic simple.
Unlike rigid platforms, our AI agents are prompt-driven and can be configured for your specific ICP, scoring criteria, and business goals.
Our job system tracks every scoring decision, data point, and action made by the agent for full visibility and compliance auditing.
Trained on millions of sales conversations, our agents are optimized for accurate lead qualification and conversion prediction, not just data processing.
We offer ready-to-use lead scoring templates tailored for common B2B scenarios. From SaaS lead qualification to enterprise sales pipelines, you can go live in minutes.
See how organizations are transforming their sales processes with our AI Lead Scoring Agent.
B2B Workflow Automation Software
A mid-stage software company offering B2B workflow automation tools was struggling with pipeline inefficiencies. Their sales team received hundreds of inbound leads weekly, but lacked a method to prioritize them effectively. By deploying the AI Lead Scoring Agent, they implemented custom scoring logic based on product page visits, email engagement, company size, and job role relevance.
"The AI Lead Scoring Agent transformed our sales efficiency. Our reps now focus only on leads with the highest conversion potential, and our demo booking rate has never been higher."
— Sarah Mitchell, VP Sales
High-Value Personal Goods
A global e-commerce platform specializing in high-value personal goods had many inquiries but poor conversion rates. Most leads were either browsing casually or price shopping. They activated the AI Lead Scoring Agent to score leads based on time spent on product pages, cart activity, abandoned checkouts, and return visit frequency. Leads were scored in real-time and automatically categorized into three tiers.
"Our sales team now spends time on leads that actually convert. The AI filtering out low-intent browsers has been a game-changer for our conversion rates and sales cycle efficiency."
— Marcus Rodriguez, Sales Director
Online Certification Courses
An online learning platform offering certification courses for working professionals was using outbound email campaigns but seeing low conversion rates and high unsubscribe rates. The marketing team integrated the AI Lead Scoring Agent to analyze email interaction patterns, course page visits, time-on-site, and prior engagement history. A lead had to score at least 65 to be eligible for follow-up by the sales counselors.
"The AI lead scoring helped us focus our counselors' time on genuinely interested prospects. Our enrollment rates improved significantly while reducing bounce and unsubscribe rates."
— Dr. Jennifer Liu, Marketing Director
Find answers to common questions about our AI Lead Scoring Agent.
Copy the prompt below to quickly set up your AI Lead Scoring assistant.
The AI-powered Lead Scoring Agent evaluates incoming leads from a CRM (e.g., Salesforce, HubSpot, or Zoho CRM) using a fetch lead data action. It analyzes lead attributes such as job title, company size, industry, and engagement behavior (e.g., email opens, website visits) using an action to analyze lead signals. Additional firmographic data is enriched via third-party APIs (e.g., Clearbit, Apollo) using a fetch enrichment data action.
The agent assigns a lead score using a generated lead score action based on predefined scoring rules or machine learning models. It logs the score and reasoning to the CRM using an update lead score action. If the score crosses a specific threshold, the agent triggers a notify sales team action via Slack or Microsoft Teams API.
The agent automatically triggers a tag lead priority action for high-score leads and optionally initiates a workflow trigger (e.g., assign to rep, move pipeline stage). If scoring shows reduced engagement over time, it uses a decay score action based on inactivity windows.
Prompt copied to clipboard! You can now paste it into your AI platform.
Let your sales team focus where it matters. Deploy our AI Lead Scoring Agent and experience smarter, faster, and more profitable sales engagement.