Get Smart with Salesforce Einstein
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Salesforce Einstein Basics
Get Started with Einstein -
Get Started with Einstein7 Topics
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Learning Objectives - Einstein
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AI Basics and Smart Assistants
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I Have AI and Smart Assistants Down. How Does Salesforce Einstein Fit In?
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But How Can Einstein Specifically Benefit My Business?
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So What Makes Einstein Different?
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Do I Have to Be a Genius to Use This? I’m Pretty Sure Einstein Was a Genius
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The Time Is Now for Salesforce Einstein
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Learning Objectives - Einstein
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Learn About Einstein Out-Of-The-Box Applications7 Topics
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Responsible Creation of Artificial IntelligenceUse the Einstein Platform9 Topics
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Understand the Ethical Use of Technology8 Topics
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Learn the Basics of Artificial Intelligence5 Topics
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Recognize Bias in Artificial Intelligence6 Topics
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Einstein Bots BasicsRemove Bias from Your Data and Algorithms6 Topics
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Learn About Einstein Bots6 Topics
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Plan Your Bot Content4 Topics
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Einstein Next Best ActionLearn the Prerequisites and Enable Einstein Bots3 Topics
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Get Started with Einstein Next Best Action9 Topics
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Learning Objectives - Einstein Next Best Action
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Rise of Business Intelligence
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A Wealth of Insights Brings a New Set of Challenges
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Better Recommendations with Einstein Next Best Action
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Unify Sources of Insight
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Connect Recommendations to Automation
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Surface Actionable Intelligence
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Applications for Different Lines of Business
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How Can I Get Einstein Next Best Action?
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Learning Objectives - Einstein Next Best Action
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Sales Cloud EinsteinUnderstand How Einstein Next Best Action Works7 Topics
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Increase Sales Productivity5 Topics
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Automate Sales Activities5 Topics
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Target the Best Leads3 Topics
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Close More Deals6 Topics
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Connect with Your Customers and Create New Business4 Topics
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Sales Cloud Einstein Rollout StrategiesImprove Sales Predictions4 Topics
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Use AI to Improve Sales
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Start with a Plan
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Set Goals and Priorities
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Get Ready for Einstein
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Quick Start: Einstein Prediction BuilderStart Using Sales Cloud Einstein
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Sign Up for an Einstein Prediction Builder Trailhead Playground
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Create a Formula Field to Predict
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Enrich Your Prediction
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Build a Prediction
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Quick Start: Einstein Image ClassificationCreate a List View for Your Predictions
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Get an Einstein Platform Services Account
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Get the Code
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Create a Remote Site
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Create the Apex Classes
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Einstein Intent API BasicsCreate the Visualforce Page
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Get Started with Einstein Language
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Set Up Your Environment
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Create the Dataset
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Train the Dataset and Create a Model
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Put Predictions into Action with Next Best ActionUse the Model to Make a Prediction
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Learn the Basics and Set Up a Custom Playground
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Define and Build a Prediction
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Customize Your Contact and List Displays
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Create Recommendations for Einstein Next Best Action
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Create a Next Best Action Strategy
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Add Next Best Action to Your Contacts
Participants 106154
You’ve explained to Ava how Sales Cloud Einstein automates the sales team’s busywork. Now you have to show how AI helps sales reps work smarter on the more important work of nurturing leads.
You take a trip upstairs to visit your colleague Pepper Black, one of Honeydew’s top sales managers. You ask Pepper what key challenges she and her team face in trying to turn stacks of new leads into potential deals.
Pepper tells you that while her sales team has an effective process for gathering leads, a core challenge is knowing which of those leads to prioritize. Without that knowledge, her team spends a ton of its time on leads that don’t pan out. When you press her for more details, she explains the challenges she faces.
- Her sales team has many more leads than they have time for.
- They don’t know which lead characteristics indicate a higher chance of closing a deal.
- Their attempts at prioritization have met with mixed success.
- They aren’t sure which prioritization method is most appropriate for Honeydew’s business.
Some of her sales reps have enough experience to know which leads have the highest likelihood of purchasing. They focus on leads in urban areas or from certain kinds of food businesses, for example. But this method is far from perfect, and many reps aren’t experienced enough to have this kind of feel for leads.
They’ve tried rules-based prioritization, but the rules they used were also based mostly on educated guesses and intuition. They’ve tried sorting by geography or by lead source, but these methods left some potentially hot leads unattended. The rules they came up with lacked sophistication.
Finally, Pepper mentions that the marketing department has even tried scoring leads as they come in, but only with a numeric score. Sales reps don’t have a clear idea how a given lead earns its score. Not knowing where the score really comes from makes it hard for reps to trust the scores. They want more information about what makes a lead hot, information that might help them break the ice during that first call.
As you listen to Pepper’s description of these challenges, you can tell she doesn’t notice the widening smile on your face. You’re smiling because Sales Cloud Einstein can really help her team turn their leads into opportunities faster.