Skip to main content

#CampSuccess0 人がディスカッション中

📣 📣 📣 Join us Tuesday, Nov. 1, for Camp Success - Security! 📣 📣 📣

 

Join us tomorrow, Tuesday, Nov. 1, at 10 a.m. PDT for Camp Success Security! During this event, you’ll learn the fundamentals of org security, lockdown your MFA, and ask the experts all about how to boost your cybersecurity. 

 

➡️  Register today!

 

Download the Resource Guide to access the decks and recordings: sfdc.co/SecurityResourceGuide 

2 件のコメント
0/9000

Back to Business, Back to Basics 👍  Q4 Camp Success 👏 

Register now for our next Camp Success - Back to Basics! Are you a busy admin looking for guidance on getting started with Sales Cloud? Join us for Camp Success - Back to Basics! In this 2-day webinar, focused on our most frequently asked questions, you’ll learn best practices, watch demos and chat live with Salesforce experts to get all your questions answered. Each session is about 30-45 minutes in length followed by an “Ask an Expert” session at the end of each day.  

 

🚨 REGISTER >> sfdc.co/CampSuccessBasics  

 

Can't join us live? All recordings and decks can be found right now >> sfdc.co/BasicsGuide

 

🗒️ What’s the agenda?

DAY 1 ⭐

  • User Management Basics
  • Data Management Basics
  • Customization
  • Multi-factor Authentication Basics
  • Ask an Expert

DAY 2 🌟

  • Salesforce Email Integration Basics
  • Reports & Dashboards Basics
  • Automation Workflow Basics
  • Ask an Expert

#CommUpdates #Picks from the Pack: Customer Success #Sales Cloud-Getting Started #Sales Cloud #Salesforce Admin #CampSuccess

6 件のコメント
0/9000

Question from #CampSuccess  - What an informative session!  Thanks so much for all the info.  I was able to set up recommendations with next best action in my test environment today.  How does the model get "smarter" each time an agent either accepts or rejects a recommendation offered by NBA?  The example I have set up is based on a segment field on a contact.  If in the education segment, NBA recommends some talking points for the agents when this customer calls in.  Do I need to add a field to the contact record to capture if the recommendation was accepted?  It seems like with my current set up I am just programming the recommendations manually.  Do I need to get predictions involved?  Any details would be greatly appreciated.  Thanks!

2 件のコメント
  1. 2020年10月8日 2:33
    @TRISHA ROSKOM Einstein Recommendation Builder can learn from past successful outcomes to provide intelligent recommendations. Please feel free to reach out if you'd like to explore this further, we're actively recruiting customers for the Winter Beta.
0/9000

Hello #Ohana! 

 

I've On the heals of #Salesforce #CampSuccess #Einstein yesterday, I decided to give it a go at getting @Marc Benioff 's attention, and maybe @Parker Harris, or even @Scott Allan too, when it comes to planning for #DF21.

 

Using our #Trailblazer #Ohana way of influencing with #IdeaExchange, let's persuade him to give #Bruce Springsteen a shot at a new record for the longest concert ever next year!  Having seen Springsteen 109x's on 4 continents, in 10+ countries, and over 50+ cities, I can tell you he needs to be challenged...3.5 hours doesn't cut it anymore.  :-)  Am I right @Phil Moore ?

 

Please vote on this idea!

 

Peace & Love, 

Be Well,

Joseph

 

"Tramps Like Us, baby, we we're Born to Run!"

-Bruce Springsteen | BORN TO RUN (1975)

 

@Trailblazer Community Cove 

@* Release Readiness Trailblazers * 

@* Salesforce Administrators * 

@True to the Core 

Bring Bruce Springsteen & The E Street Band to Dreamforce 2021

0/9000

From @Wilma Dean on #CampSuccess - 

My main interest was the Opportunity Scoring session.  Can you tell me why our Production org has the Setup as given in the session, but our Sandbox does not.  This is a sandbox instance that was in Preview mode and received the Winter ’21 release update.  Please, if your can, answer the following or let me know where I can find answers.

 

  1. Does the option to set up Opportunity Scoring does not have a time limit, does it?  In other words our Production Einstein Opp Scoring will not go away when updated with the Winter ’21 release?
  2. Do I need to ask our AE about the sandbox being allow to set this up?  I really prefer to try in sandbox first.  I am an inexperienced/new SF Admin and find many things are more difficult than they appear in the videos so I like to do them in sandbox first to find out “what I don’t know” before I start the steps in Production.
5 件のコメント
  1. 2020年9月30日 19:02
    So glad @Bonnie Parisi chimed in! I never used Opportunity Scoring in our sandbox, but can see some of the settings. This makes sense given the data needs for the AI to do its thing, and sandboxes having little or no data in them.
0/9000

#CampSuccess  when a customer goes through a chatbox experience to ask a question,  can einstein bot show a snippet from a knowledge article and display instead of returning the entire suggested article?

2 件のコメント
  1. 2020年9月30日 0:26
    Thanks for asking! We are working on a FAQ bot feature (roadmap item) and there are two ways to go about this: 1. Add a field called chat answer which address chat bot use cases and 2. in future explore a robust answer extraction capability.
0/9000

Question from #CampSuccess: We are in the process of implementing Salesforce however we are not sure if we want to migrate historical opportunities.  Is there a way to run the Readiness Report on data outside of SF?

1 件のコメント
  1. 2020年9月29日 21:12
    At this point, the Sales Cloud Einstein Readiness Assessor is just evaluating your data within Salesforce.
0/9000

#CampSuccess Can I have a chat bot as fallback? e.g. Our techs would be front line when they are online, but customers hit the bot when all of our chat techs are offline or at capacity.

3 件のコメント
  1. 2020年9月30日 0:42
    Yes, in the welcome dialog, you can directly direct to "Transfer to an agent". And in the No Agent dialog, you can kick in the bot logic. See the screenshot. I modified the same ConvStar bot as during the session for your use case.
0/9000

#CampSuccess Looking at the Case Classification section of this guy (https://c1.sfdcstatic.com/content/dam/web/en_us/www/documents/datasheets/einstein-cheatsheet.pdf?d=cta-header-2), what is the difference between real time vs. non? Also what is a segment? I see unlimited has "non-real time; single-segment" and then the add on has "real time; up to five segments".

5 件のコメント
  1. 2020年9月30日 12:12
    @Phil Moore Thanks for your answers. How does case classification work in terms of categorization of cases? Does it have prebuilt models like opportunity scoring or do we need to provide the fields and have it learn on an ongoing basis?
0/9000

Question from #CampSuccess - How can a sales rep utilize Einstein? Can it be used to predict things like if an AE's score reaches 70 it is x times likely to close. What features can be used to boost Einstein adoption for end users.

1 件のコメント
0/9000