How Salesforce Manages Pipe and Forecasts with Confidence
Do you ever wonder how Salesforce manages its own sales forecasting process? Join this session to learn forecasting best practices and pragmatic guidance to bring back to your own sales team.
Important: This session is first come, first seated. You do not have a reserved seat.
, Senior Manager, Sales Programs, Salesforce
, Senior Sales Programs Manager, Salesforce
Role: Operations, Sales
Product: Agentforce Sales, CRM Analytics
Topic: Salesforce on Salesforce
Session Level: Intermediate
Session Type: Theater
Wednesday, Sep 189:00 AM - 9:20 AM PDT
(4:00 PM - 4:20 PM GMT)
Moscone West, L3, Cloudy Theater
Session Summary by Einstein: This session focused on how Salesforce leverages its robust ecosystem, including Sales Cloud and Slack, to manage pipeline and forecast with confidence. The session outlined a three-pillar approach to successful forecasting, emphasizing the importance of a data-first culture, a disciplined process, and the use of powerful tools like pipeline inspection and CRM analytics dashboards. It was demonstrated that Sales Cloud can boost seller productivity by 32%, and the integration of Slack enhances team collaboration. The session also highlighted Salesforce's daily, weekly, and annual forecasting process, which contributes to maintaining a healthy and predictable pipeline. The session also showcased the global forecast dashboard used by the C-suite to make informed decisions.
Key Takeaways by Einstein:
• Creating a data-first culture with shared accountability among all team members is essential for accurate forecasting and pipeline management.
• A disciplined forecasting cadence, exemplified by Salesforce's weekly review process, ensures transparency and predictability in meeting revenue targets.
• Salesforce's powerful forecasting tools, such as pipeline inspection and the global forecast dashboard, provide real-time insights and drive a culture of sales excellence.
With sessions and hands-on activities led by product experts, visionaries, and fellow Trailblazers, Dreamforce offers a deep dive into the latest in CRM + AI + Data + Trust.
Merlinda Lu
Salesforce Developer, IBM
We use cookies on our website to improve website performance, to analyze website usage and to tailor content and offers to your interests.
By clicking “Accept All Cookies”, you consent to us placing these cookies. By clicking “Do Not Accept”, you reject the usage of such cookies. We always place cookies that do not require consent, which are necessary for the website to work properly.
For more information about the different cookies we are using, read the Privacy Statement. To change your cookie settings and preferences, click the Cookie Consent Manager button.
Cookie Consent Manager
Cookie Consent Manager
General Information
Required Cookies
Functional Cookies
Advertising Cookies
General Information
We use three kinds of cookies on our websites: required, functional, and advertising. You can choose whether functional and advertising cookies apply. Click on the different cookie categories to find out more about each category and to change the default settings.
Privacy Statement
Required Cookies
Always Active
Required cookies are necessary for basic website functionality. Some examples include: session cookies needed to transmit the website, authentication cookies, and security cookies.
Functional Cookies
Functional cookies enhance functions, performance, and services on the website. Some examples include: cookies used to analyze site traffic, cookies used for market research, and cookies used to display advertising that is not directed to a particular individual.
Advertising Cookies
Advertising cookies track activity across websites in order to understand a viewer’s interests, and direct them specific marketing. Some examples include: cookies used for remarketing, or interest-based advertising.