Greater Predictions with Sales Forecasting Software.

Sales forecasting software is a tool that uses historical data, pipeline information, and predictive analytics to estimate an individual's and, in aggregate, the company's future revenue and sales. It helps businesses make better decisions about resource allocation, inventory management, budgeting, and goal setting.

Sales forecasting software aggregates data from the company's CRM system, as well as from other structured and unstructured customer data sources, including emails and call records, to provide an overall view of identified sales opportunities in the pipeline. Using predictive techniques, sales forecasting software allocates risks and estimates deal closure rates from historical records to create a realistic sales projection that takes into account the current sales pipeline and future sales opportunities.

There are many factors to consider. The most important factor is selecting software that matches your organization's sales forecasting strategy and has a proven track record of accurate forecasting capabilities.

Data-driven forecasting software uses granular information, and it should incorporate true predictive analytics capabilities. Other factors to consider include data visualization capabilities, sales modeling, scalability, and the ability to automatically integrate data from corporate systems, including AI-powered data that is connected to sales planning and compensation.

Achieve accurate forecasts with Xactly sales forecasting software. Using data-driven pipeline analytics, Xactly Forecasting empowers revenue leaders to inspect and manage their pipeline more effectively and sellers to close deals more efficiently.

Yes, Xactly’s AI-powered forecasting models improve predictability by shifting from "gut feel" to unbiased data signals. Unlike traditional sales forecasting methods, AI sales forecasting analyzes thousands of data points, including email sentiment, meeting frequency, and historical rep performance, to assign a "Health Score" to every deal.

By identifying patterns that lead to wins or losses, AI can flag "at-risk" revenue weeks before a human manager might notice. This allows leadership to move from reactive troubleshooting to proactive strategy, consistently landing within 5% of their quarterly targets.

Xactly’s sales forecasting software replaces "gut feelings" and manual spreadsheets with objective, data-driven sales forecasting. The AI and machine learning within the platform analyzes historical trends, rep performance, and real-time pipeline data to generate highly accurate, predictive forecasts.

The result is drastically reduced human bias and manual calculation errors, giving your revenue leaders a forecast they can trust.

Yes. The software is designed to standardize your forecasting across your entire global organization. It provides a single source of truth that regional managers can use to evaluate and roll up data using consistent metrics.

This eliminates disconnected regional silos and account sales cycles and gives executive leadership accurate visibility into the global pipeline.

Yes, Xactly’s platform integrates with other existing tech stacks. The system also includes native integrations with major CRM platforms, as well as leading ERP and HRIS systems, providing seamless connectivity that ensures a continuous, automated flow of real-time data, keeping your forecasts up-to-date without the need for tedious manual data entry.

Yes, Xactly Forecast helps organizations proactively identify risk by continuously monitoring deal health signals, such as pushed close dates, lack of recent engagement, or stalled deal stages.

When the software detects anomalies or negative trends, it automatically flags these at-risk opportunities and allows sales managers to intervene, course-correct, and coach reps before deals are lost.

Xactly partners with you every step of the way to ensure a smooth and successful rollout. You’re supported by a dedicated implementation team that assists with data integration, system configuration, and strategic best practices.

Leaders can benchmark accuracy by tracking their Mean Absolute Percentage Error (MAPE) and comparing it to industry standards. For B2B SaaS organizations, "world-class" performance is typically defined as maintaining 90%+ accuracy within the first 30 days of a quarter.

Leaders also use cohort analysis to benchmark internal teams against each other, identifying "sandbaggers" (those who consistently beat low forecasts) versus "optimists" (those who consistently miss high forecasts), ensuring the entire organization moves toward a standardized "accuracy culture."

Yes. You can use Xactly Forecast to improve the accuracy of sales forecasting across different regions and countries.