AI-powered sales engagement platform with autonomous prospecting, sequencing, and deal management capabilities.
AI-powered sales outreach that automates prospecting and follow-ups — helps sales teams engage more prospects and close more deals.
Outreach is an AI-powered revenue workflow platform designed to help sales teams streamline and optimize every stage of the sales cycle — from prospecting and pipeline generation to deal management and forecasting. The platform uses machine learning and AI to automate repetitive sales tasks, surface actionable insights, and guide reps toward the most effective engagement strategies. It serves as a centralized hub where sales development representatives, account executives, and revenue leaders can manage multi-channel outreach sequences, track buyer engagement signals, and collaborate on deals.
Built for B2B sales organizations of all sizes — from fast-growing startups to large enterprises — Outreach integrates deeply with CRM systems like Salesforce and Microsoft Dynamics, as well as communication tools, data enrichment providers, and analytics platforms. Its AI capabilities analyze historical performance data, buyer behavior, and deal progression to recommend next-best actions, optimize send times, and prioritize accounts most likely to convert.
The platform's strength lies in combining sales engagement, conversation intelligence, deal management, and revenue forecasting into a single unified system. This eliminates the need for multiple point solutions and gives revenue teams a consistent, data-driven workflow from first touch to closed deal, while providing leadership with accurate pipeline visibility and forecast confidence.
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Outreach enables reps to build and execute multi-step, multi-channel outreach sequences across email, phone, LinkedIn, and SMS. The AI engine optimizes send times, suggests messaging improvements, and automatically adjusts sequence steps based on buyer engagement signals to maximize reply rates.
The platform provides a comprehensive deal management workspace where reps and managers can track deal progression, identify at-risk opportunities, and view deal health scores. AI analyzes CRM data, engagement history, and buyer signals to surface deals that need attention and recommend corrective actions.
Outreach records, transcribes, and analyzes sales calls and meetings to extract key topics, objections, and action items. AI-driven insights help managers coach reps more effectively by identifying patterns in successful conversations and flagging deals where critical topics were missed.
Machine learning models analyze pipeline data, deal velocity, and historical conversion patterns to generate accurate revenue forecasts. The system provides scenario modeling and confidence scores, enabling revenue leaders to identify forecast gaps and take proactive corrective action before quarter-end.
Outreach's AI scores and ranks prospects and accounts based on engagement signals, intent data, and fit criteria. This helps SDRs and AEs focus their time on the highest-value opportunities rather than manually sorting through large prospect lists, significantly improving conversion efficiency.
~$100/user/month (billed annually)
~$130/user/month (billed annually)
~$160+/user/month (billed annually, custom volume discounts available)
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In early 2026, Outreach expanded its AI capabilities with autonomous prospecting agents that can independently research accounts, draft personalized multi-channel sequences, and adapt messaging based on real-time engagement signals — reducing manual SDR effort for initial outreach. The platform also introduced enhanced revenue forecasting with generative AI-powered deal summaries that auto-populate CRM fields and produce natural-language pipeline narratives for leadership reviews. Conversation intelligence received upgrades including real-time coaching prompts during live calls and multi-language transcription support. Additionally, Outreach deepened its integration ecosystem with native connectors for leading data warehouse platforms, enabling revenue teams to unify engagement and pipeline data with broader business intelligence workflows.
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