Data analytics for sales teams
Drive revenue growth with advanced sales analytics software.
Increase profitability with data-driven insights
Empower your sales team with actionable intelligence using the GoodData platform.
Enhance your sales decision-making
- Stay ahead via visualizations paired with predictive analytics and advanced alerts.
- Gain real-time insights and quickly make informed decisions.
- Easily identify trends, patterns, and anomalies in your sales data.
Improve sales performance
- Track individual and team performance against sales targets and KPIs.
- Quickly identify top-performing products, sales channels, and sales representatives.
- Analyze discount strategies to optimize sales and profitability.
Dive deep into our success stories
Examples of sales dashboards
Explore how sales departments leverage analytics dashboards
Get a quick overview of your sales results
A comprehensive view of sales activities, showcasing key metrics such as the total pipeline generated, won opportunities, and deals in the pipeline. This dashboard allows you to track progress against sales targets, analyze conversion rates, and identify trends.
- Drill into data to discover further insights.
- A range of visualizations to tell the data story.
View sales and market potential by territory
A detailed view of performance across different regions, highlighting sales figures, market share, and potential growth opportunities. This dashboard allows users to compare performance metrics, identify high-performing territories, and uncover areas with untapped potential.
- Easily shareable with teams and stakeholders.
- Fully customizable to match any brand.
Track sales momentum
Combines data on factors like deal size, win rate, the number of opportunities, and the length of the sales cycle to show how quickly revenue is generated. This allows sales teams to easily identify bottlenecks, track progress, and make data-driven adjustments to improve their overall sales performance.
- Use filters to focus on specific segments or time frames.
- Forecast future velocity with predictive analytics.
Discuss your use case with us
See how GoodData can help with your analytics goals.
- Talk with an expert about your specific business needs.
- Get a customized platform demo.
- Q&A about features, implementation, and pricing.
Why choose our analytics platform?
Reasons why companies love our analytics platform include:
- Intuitive platform with modern dashboards, predictive analytics, forecasting, AI assistant, and more.
- Advanced embedding, great at multi-tenancy and scale.
- Powerful automation of analytic workflows including entire data pipelines with analytics as code.
- Accelerated performance, data federation, smart data warehouse cost management.
- Multiple deployment options - any public, private cloud, or on-premise.
A trusted platform, loved by users
Common questions
What are the benefits of sales analytics software?
Sales analytics software offers several benefits to businesses, enabling them to make data-driven decisions, optimize sales strategies, and improve overall performance. Key benefits include:
- Enhanced decision-making
- Increased sales performance
- Improved forecasting and planning
- Better customer insights
- Optimized pricing strategies:
- Enhanced collaboration and communication
- Performance tracking and accountability
How can I leverage advanced AI-fueled analytics for sales?
Using advanced AI-fueled analytics for sales can significantly enhance your sales strategy and operations:
Predictive Sales Analytics:
- Sales forecasting: Use AI algorithms to predict future sales based on historical data, market trends, and seasonality. This helps set realistic sales targets and plan resources effectively.
- Lead scoring: AI can analyze historical sales data to identify characteristics of high-quality leads, enabling better prioritization and conversion rates.
Sales Process Optimization:
- Sales funnel analysis: Advanced analytics can provide insights into the performance of different stages in the sales funnel, identifying bottlenecks and areas for improvement.
- Performance metrics: Track and analyze key performance indicators (KPIs) for individual sales reps and teams, helping to identify strengths and areas for coaching.
Pricing Optimization:
- Discount strategies: Analyze the impact of discount strategies on sales and profitability to determine the most effective approaches.
Geospatial Analysis:
- Territory management: Use geospatial analytics to optimize sales territories, ensuring balanced workloads and maximizing coverage.
What are some key features of advanced sales analytics?
Advanced sales analytics software includes a variety of features to provide deep insights and drive strategic decision-making. Key features of advanced sales analytics include:
Real-Time Reporting and Dashboards:
- Provides up-to-the-minute data on sales performance.
- Interactive and customizable dashboards to visualize key metrics and KPIs.
Predictive Analytics:
- Uses historical data and machine learning algorithms to forecast future sales trends and outcomes.
- Offers insights into sales activities, productivity, and effectiveness.
Advanced Data Visualization:
- Provides sophisticated visualization tools such as heat maps, scatter plots, and cohort analysis.
- Enables users to easily interpret complex data and trends.
Wide integration options:
- Seamlessly integrates with Customer Relationship Management (CRM) systems, marketing automation tools, and other business applications.
- Ensures a unified view of sales data across the organization.
Sales Forecasting and Planning:
- Uses advanced algorithms and data modeling techniques to improve the accuracy of sales forecasts.
AI:
- Simplifies the process of finding answers in data and creating visualizations through semantic search or AI-powered report builder
Custom Alerts and Notifications:
- Sends real-time alerts and notifications based on predefined triggers and conditions.
Geospatial Analysis:
- Maps sales data geographically to identify regional trends and opportunities.
- Supports location-based strategies and market expansion efforts.
Try GoodData yourself
See how GoodData can help with your analytics goals