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Sales & CRM
Revenue.io
Revenue.io logo
Sales & CRM

Revenue.io

Revenue.io is an AI-powered revenue intelligence and execution platform designed to help sales and marketing teams generate, qualify, and convert leads more effectively. It combines conversation intelligence, sales engagement, and revenue operations into a unified system that integrates with major CRMs like Salesforce. The platform uses artificial intelligence to analyze sales calls, emails, and meetings, providing real-time guidance and insights to improve rep performance and forecast accuracy. It is primarily used by B2B sales organizations, from SMBs to enterprises, to increase pipeline velocity, enhance coaching, and drive predictable revenue growth. By automating data capture and providing actionable intelligence, Revenue.io aims to eliminate manual tasks and enable revenue teams to focus on high-value activities, ultimately aligning sales, marketing, and customer success around a single source of truth for revenue data.

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πŸ“Š At a Glance

Pricing
Paid
Reviews
No reviews
Traffic
β‰ˆ110K visits/month (public web traffic estimate, Similarweb, March 2025)
Engagement
0πŸ”₯
0πŸ‘οΈ
Categories
Sales & CRM
Sales & CRM

Key Features

Conversation Intelligence

AI automatically transcribes, analyzes, and scores sales calls and meetings, extracting key insights like competitor mentions, customer sentiment, and action items.

Revenue Intelligence Dashboard

A centralized dashboard that aggregates data from CRM, email, and calls to provide a holistic view of pipeline health, forecast accuracy, and team performance.

AI-Powered Sales Engagement

Automates multi-channel outreach sequences (email, call, social) and uses AI to recommend optimal contact times, message personalization, and follow-up actions.

Real-Time Deal Guidance

During live calls or when reviewing opportunities, the system surfaces AI-generated recommendations, warning flags, and next steps to help reps advance deals.

Automated Activity Capture & CRM Hygiene

All customer interactions (emails, calls, meetings) are automatically logged in the CRM with relevant details, ensuring complete and accurate activity records.

Coaching & Performance Management

Managers get AI-highlighted coaching moments from call recordings, performance trends, and personalized development plans for each sales rep.

Pricing

Starter / Sales Engagement

contact sales
  • βœ“Basic sales engagement: email sequencing, call logging, and activity tracking.
  • βœ“CRM integration (Salesforce) for automatic data sync.
  • βœ“Basic analytics and reporting dashboards.
  • βœ“Typically includes a set number of user seats; exact limits are negotiated.
  • βœ“Standard email and chat support.

Revenue Intelligence Platform

contact sales
  • βœ“Full conversation intelligence: AI analysis of calls and meetings.
  • βœ“Real-time sales coaching and guidance during customer interactions.
  • βœ“Advanced revenue analytics and forecasting tools.
  • βœ“Workflow automation and lead scoring powered by AI.
  • βœ“Priority support and dedicated customer success management.
  • βœ“Enhanced security features and compliance controls.

Enterprise / Custom

custom
  • βœ“All features from the Revenue Intelligence Platform.
  • βœ“Custom integrations with additional enterprise systems (ERP, marketing automation).
  • βœ“Single Sign-On (SSO), SAML, and advanced security audits.
  • βœ“Service Level Agreements (SLAs) for uptime and support.
  • βœ“Dedicated account executive and tailored onboarding/training.
  • βœ“Custom AI model training on company-specific data if required.

Traffic & Awareness

Monthly Visits
β‰ˆ110K visits/month (public web traffic estimate, Similarweb, March 2025)
Global Rank
##164,495 global rank by traffic, Similarweb estimate (March 2025)
Bounce Rate
β‰ˆ45% (Similarweb estimate, March 2025)
Avg. Duration
β‰ˆ00:03:20 per visit, Similarweb estimate (March 2025)

Use Cases

1

Improving Sales Forecast Accuracy

Sales leaders use Revenue.io to analyze historical deal data and current call sentiment to identify at-risk opportunities. The AI flags deals where engagement is dropping or negative sentiment is detected, allowing managers to intervene early. This leads to more accurate quarterly forecasts and reduces unexpected pipeline slippage.

2

Scaling Sales Onboarding & Coaching

New sales hires use the platform's real-time call guidance and access a library of AI-analyzed top-performer calls. Managers can quickly identify skill gaps and provide targeted coaching based on actual conversation data. This accelerates ramp time and improves overall team performance consistently.

3

Automating Lead Qualification & Routing

Marketing and SDR teams set up AI lead scoring based on engagement signals from emails, website visits, and call intent. High-intent leads are automatically routed to the appropriate AE with context, while low-quality leads are nurtured further. This increases conversion rates and ensures reps spend time on the most promising opportunities.

4

Enhancing Cross-Functional Revenue Alignment

Revenue operations teams use the unified dashboard to share insights with marketing, customer success, and finance. For example, marketing can see which messaging resonates in sales calls, and finance can trust the forecast data. This breaks down silos and aligns the entire organization around a single revenue goal.

5

Optimizing Outbound Sales Campaigns

Outbound sales teams create multi-touch sequences in Revenue.io that automatically adapt based on prospect behavior. If a prospect opens an email but doesn't reply, the AI might suggest a phone call instead of another email. This dynamic adjustment improves engagement rates and helps teams systematically work through target account lists.

How to Use

  1. Step 1: Sign up for an account on the Revenue.io website and schedule a demo or onboarding call with their sales team, as pricing is typically custom and enterprise-focused.
  2. Step 2: Integrate Revenue.io with your existing CRM, most commonly Salesforce, by installing their managed package and configuring the connection to sync accounts, contacts, and opportunities.
  3. Step 3: Connect your communication channels, such as email (Gmail or Outlook) and phone systems, to enable the platform to capture and analyze all customer interactions automatically.
  4. Step 4: Configure the AI-driven rules and workflows within the platform, such as setting up automated activity logging, lead scoring models, and real-time conversation guidance prompts for sales reps.
  5. Step 5: Train your sales team to use the Revenue.io dashboard and Chrome extension, where they can view AI-generated insights, receive live call coaching, and execute sequenced outreach campaigns.
  6. Step 6: Monitor performance through the revenue intelligence dashboard, which provides analytics on pipeline health, rep activity, conversation metrics, and forecast accuracy, enabling managers to coach based on data.
  7. Step 7: Refine and iterate on workflows by using the AI insights to identify top-performing behaviors, update engagement sequences, and adjust scoring models to improve lead conversion rates over time.
  8. Step 8: Embed Revenue.io into the daily workflow of the entire revenue team, using its automated reporting and alerts to drive stand-ups, forecast meetings, and ongoing coaching cycles for continuous improvement.

Reviews & Ratings

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At a Glance

Pricing Model
Paid
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