Share this article…Salesforce has been rapid to roll-out multiple generative AI capabilities that enhance their existing technologies. We first saw Einstein GPT (with marketing use cases that lacked details), then at Connections ‘23, Marketing GPT was showcased (since then, the ‘GPT’ has been dropped). Finally,… Read More …
Here are highlights from article 6 Einstein 1 Marketing Features I’d Like To See | Salesforce Ben
1. Account Engagement Optimizer:
– Provides a big-picture view for each business unit and flags items that need attention.
– Could benefit from the injection of predictive insights, allowing for “what-if” scenarios.
– Can show prospect data changes in a histogram for trends analysis.
2. Sync Error Diagnosis:
– Sync errors between Account Engagement and Salesforce can occur for various reasons.
– AI could alert users to sync errors and analyze the root cause.
– AI could potentially fix errors or recommend fixes.
3. Segmentation (Dynamic Lists):
– Creating and troubleshooting segmentation lists can be time-consuming.
– Conversational prompts could allow users to tell Account Engagement what segment they want the list to pull, saving time.
4. Operational Engagement Studios:
– Engagement Studio can be used for more than just marketing automation.
– Admins can take advantage of it for operational tasks, such as prospect data management.
– Conversational prompts could assist with generating programs based on insights from Optimizer or sync error diagnosis.
5. Testing Marketing Assets:
– Testing is crucial to ensure assets and automation in Account Engagement are working correctly.
– Includes testing forms, ebooks, preference centers, and more.
– No specific AI-related feature mentioned in this section.
You can read it here: https://sfdc.blog/TKWjc
Source from salesforceben(dot)com