Close deals faster and boost revenue performance with actionable, purpose-built intelligence built into Sales Cloud. Turn insights into action with out of the box, AI-powered visualisations. Get complete visibility of pipeline, forecasting and rep performance — all on a single, customisable platform.
Sell smarter with purpose-built AI-recommendations and analytics.
Track quota attainment by diving into insights from team performance, pipeline and historic trends. Coach winning teams with access to rep performance metrics such as average win rate, open pipeline and activities completed. Make deal adjustments with insights into sales trends like average win rates, days to close and average sales size.
Predict future sales by comparing current forecast performance to a comparable previous period. Stay on track to hit forecasts by monitoring trends in velocity, pipe coverage and commit. Evaluate team performance against goals quickly with easy-to-track visualisations of individual performance and commit numbers. Take next best action on the largest opportunities by reviewing key deals and next steps — all in a single view.
Run multiple what-if scenarios to understand how changes in pipeline can affect revenue targets. Set a revenue goal and then model the impact of adding or removing deals from pipeline to close existing gaps. Forecast more accurately by estimating an addition of last-minute opportunities that haven't been included in pipeline based on historic trends.
Give reps a personalised command centre to track progress toward quotas. Manage real-time deal shifts with insights into stage progression and amount changes. Take action on opportunities that have been prioritised as stuck, overdue or stagnant. Encourage reps to perform what-if analysis to scenario plan the best path to meeting quotas.
Help sales teams understand the factors driving pipeline and account health with AI-powered insights. Expand, upsell and cross-sell products based on what similar accounts are buying. Allocate resources based on which accounts have upside opportunities and which accounts are at risk.
Track sales trends at the product level with easy-to-understand heat maps. Uncover opportunities to grow sales in new segments based on purchase patterns and market trends. Understand how sales teams perform when selling new products to identify best practices and opportunities for improvement.
Connect, prep and sync data from third-party systems with data management tools. Gain a complete view into sales performance with 50+ native connectors that easily blend external data with Salesforce. Drive actionable next steps with customised dashboards and components embedded in Sales Cloud.
Build AI-powered predictions fast, based on any data — with clicks, not code. Uncover key patterns and themes from sales data without complex analysis. Guide sellers toward the most effective sales strategies by providing them valuable insights into the key factors that determine if a deal is won or lost.
Start by selecting your Sales Cloud edition. Some editions already include Revenue Intelligence right out of the box. For the others, you can easily add Revenue Intelligence at these price points.
This page is provided for information purposes only and subject to change. Contact a sales representative for detailed pricing information.
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A revenue intelligence platform is a software tool that uses artificial intelligence and machine learning to help businesses gather, analyse and act on revenue-related data. It provides insights into customer behaviour, sales trends and revenue performance, enabling businesses to make data-driven decisions and improve revenue outcomes.
A revenue intelligence platform offers several benefits, such as improved sales forecasting, increased revenue growth, enhanced customer experience, better sales performance and more efficient sales processes. It also helps businesses identify new revenue opportunities and optimise pricing strategies, leading to higher profitability.
When selecting a revenue intelligence platform, consider factors such as data sourcing, ease of use, sensitive data protections and integrations with existing systems. You should also evaluate the platform's machine learning capabilities and analytics features to ensure that they align with your business needs.
