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Get Smart with Salesforce Einstein

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  1. Salesforce Einstein Basics

    Get Started with Einstein
  2. Get Started with Einstein
    7 Topics
  3. Learn About Einstein Out-Of-The-Box Applications
    7 Topics
  4. Responsible Creation of Artificial Intelligence
    Use the Einstein Platform
    9 Topics
  5. Understand the Ethical Use of Technology
    8 Topics
  6. Learn the Basics of Artificial Intelligence
    5 Topics
  7. Recognize Bias in Artificial Intelligence
    6 Topics
  8. Einstein Bots Basics
    Remove Bias from Your Data and Algorithms
    6 Topics
  9. Learn About Einstein Bots
    6 Topics
  10. Plan Your Bot Content
    4 Topics
  11. Einstein Next Best Action
    Learn the Prerequisites and Enable Einstein Bots
    3 Topics
  12. Get Started with Einstein Next Best Action
    9 Topics
  13. Sales Cloud Einstein
    Understand How Einstein Next Best Action Works
    7 Topics
  14. Increase Sales Productivity
    5 Topics
  15. Automate Sales Activities
    5 Topics
  16. Target the Best Leads
    3 Topics
  17. Close More Deals
    6 Topics
  18. Connect with Your Customers and Create New Business
    4 Topics
  19. Sales Cloud Einstein Rollout Strategies
    Improve Sales Predictions
    4 Topics
  20. Use AI to Improve Sales
  21. Start with a Plan
  22. Set Goals and Priorities
  23. Get Ready for Einstein
  24. Quick Start: Einstein Prediction Builder
    Start Using Sales Cloud Einstein
  25. Sign Up for an Einstein Prediction Builder Trailhead Playground
  26. Create a Formula Field to Predict
  27. Enrich Your Prediction
  28. Build a Prediction
  29. Quick Start: Einstein Image Classification
    Create a List View for Your Predictions
  30. Get an Einstein Platform Services Account
  31. Get the Code
  32. Create a Remote Site
  33. Create the Apex Classes
  34. Einstein Intent API Basics
    Create the Visualforce Page
  35. Get Started with Einstein Language
  36. Set Up Your Environment
  37. Create the Dataset
  38. Train the Dataset and Create a Model
  39. Put Predictions into Action with Next Best Action
    Use the Model to Make a Prediction
  40. Learn the Basics and Set Up a Custom Playground
  41. Define and Build a Prediction
  42. Customize Your Contact and List Displays
  43. Create Recommendations for Einstein Next Best Action
  44. Create a Next Best Action Strategy
  45. Add Next Best Action to Your Contacts
Lesson 16, Topic 2
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What to Do with All Those Leads

Abhishek October 12, 2021
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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.