Sales analytics software

Ease of use: Sales analytics tools should be set up quickly and easily to navigate different tools that are integrated with. Visualization and easy drag-and-drop user interfaces should be available.

Limitations: Identify the current limitations in your sales teams such as:

• Spending too much time in capturing sales activity data
• Poor pipeline activity and planning

Integration: As mentioned before, CRM integration is critical for any sales analytics tool.

Customization: Tools should be customizable for organizations’ own sales methods, scenarios and workflows.

Analytics: sales analytics software should be able to perform tasks such as consolidating and analyzing data patterns using machine learning and other approaches to generate insights and decisions.

Sales analytics software enables organizations to have more manageable sales processes that lead to improvements in sales performance. The factors that increase sales process and performance by using sales analytics software are:

• Increased market knowledge: Thanks to the sales analysis tools, it is possible to obtain more information about the target market. The dashboards provide a visual data analytics overview to see how the targeted market behaves in certain situations. Gaining more knowledge about the target market can help to build a more accurate sales strategy. Using sales analytics software companies can improve their efficiency in marketing as a result of increased market knowledge
• Improvements in sales conversion: Sales analytics tools help businesses to increase sales rate by evaluating different metrics. An accurate analysis of potential customer results with identifying potential hesitations of customers. If the sales team can manage to solve the issues it helps to improve the sale success rate.
• Mobility of data analysis: Sales analysis tools can often work on different mobile platforms. Accessing this data and speaking with instant data during a sales meeting can be useful in the sales persuasion process.

Feel free to visit our research article on sales analytics. 

• Visual sales analysis: Sales analytics tools enable visual analysis and build sales analysis reports. Dashboards with easy drag-and-drop user interfaces eliminate further IT dependency.
• Data blending: Data coming from different sources can be combined and cross-functional reports can be created. This feature helps sales teams extract insights that couldn’t be extracted if the data had never been combined.
• Integration with CRM: An automatic synchronization of company data from various CRMs can be held with the integration capabilities of the sales analytics tools.
• Sales forecasting: Previous sales data can inform users to gain potentials and forecasting. Thus a business can manage its cash-flow, workforce and resources. Sales analytics software can help to predict sales revenue and plan for future strategies.
• Pipeline management: Using sales analytics software, sales teams can measure sales pipeline metrics. Sales funnel can be visualized and pipelines can be managed and optimized.

Sales is changing fast thanks to AI-based software. In order to survive in a competitive market, organizations need to adapt these transformations in sales methodologies.

• AI is transforming sales: AI-based software technologies enable companies to generate, score, and convert leads. If you want to learn more about how AI transform B2B sales, you can visit our research.
• Increased competition pushes companies to adopt analytics for sales: Organizations are facing increased competition and pressure to adopt data-driven decision making. Data driven decisions about prioritizing leads and improving the sales process can help companies gain a competitive advantage and improve sales performance.