Welcome to Dynamics 365 Sales!
Dynamics 365 Sales enables salespeople to build strong relationships with their customers, take actions based on insights, and close deals faster. Use Dynamics 365 Sales to keep track of your accounts and contacts, nurture your sales from lead to order, and create sales collateral. You can also create marketing lists and campaigns, and follow service cases associated with specific accounts or opportunities
Choose the product that fits your needs
Here are the different Dynamics 365 Sales offerings to fit every need of a business:
- Sales Professional: Ideal for enterprises that need a sales automation solution.
- Sales Enterprise: Ideal for enterprises that need a sales automation solution with contextual insights and advanced customization capabilities.
- Sales Premium: Ideal for enterprises that need a sales automation solution, along with AI-driven insights powered by conversation intelligence, relationship intelligence and more.
|
Dynamics 365 Sales Professional
The Sales Professional app is similar to the Sales Hub app, but the entities included in the Sales Professional app are a subset of the entities included in the Sales Enterprise.
Dynamics 365 Sales Enterprise
With Sales Enterprise, your sales organization can automate the sales process from lead to cash, run marketing campaigns, enforce best practices, collaborate with customers, and much more. The following capabilities are available in Sales Enterprise:
- Nurture sales from lead and cash: Achieve more consistent sales interactions by following the sales process as it takes you through each stage, from creating a lead to closing the sale.
- Forecast sales: Predict how much revenue your sales team will generate in a given timeframe. Track individual sales performance against quotas, to proactively identify pipeline risks and provide coaching.
- Enforce best practices with playbooks: Automate repeatable processes and define your organization's best response to events that impact sales. For example, the best response when a decision maker leaves an organization while the team is working on a deal with that decision maker.
- Run and track marketing campaigns: Promote your business and improve sales with targeted marketing campaigns. Track customer response and costs for each campaign.
With your Dynamics 365 Sales Enterprise license, you can set up and experience Sales Premium features such as Sales accelerator, conversation intelligence, and predictive scoring with a limited monthly capacity.
Dynamics 365 Sales Premium
Dynamics 365 Sales Premium combines Dynamics 365 Sales Enterprise with AI-driven features.
The features continuously analyze the vast collection of customer-interaction data already stored in your Dynamics 365 Sales and Microsoft 365 databases. This helps you to better understand your business relationships, evaluate your activities in relation to previous successes, and choose the best path forward. Also, it enables you to build strong relationships with customers, take actions based on insights, and close opportunities faster.
When you subscribe to Dynamics 365 Sales Premium, you get the following capabilities in addition to Dynamics 365 Sales Enterprise capabilities:
- Guided selling: Guide sellers on their next course of action with timely and actionable insights. You can achieve this through the Sales accelerator feature.
- Relationship intelligence: Build stronger relationships with customers and move relationships forward with AI-guided selling. Free up sellers' time by minimizing manual data entry with contextual, real-time suggestions for updating existing records and creating new records, making sure your data is always up to date. Take preemptive steps to mitigate risks with a relationship health score. The following features are available:
- Assistant
- Relationship analytics and health
- Talking points
- Who knows whom
- Conversation intelligence
- Predictive models: Increase conversion and win rates by using AI to prioritize leads and opportunities with the highest likelihood to convert and buy. The following features are available:
- Predictive lead scoring
- Predictive opportunity scoring
- Predictive forecasting
![](data:image/png;base64,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)
|