Scaling customer experiences with artificial intelligence
Finding the right platform
Building customer experience and applying personalisation at nearly every touchpoint is unrealistic for a marketing team to do alone. The level of effort for 1:1 tailoring is too time consuming to deliver sustainably.
Finding a platform that already encompasses Artificial Intelligence (AI) and Machine Learning (ML) is the most effective way to uplift personalised customer experience at scale. In Salesforce’s State of Marketing 8th Edition, they identify a surge in using AI to bridge online and offline experiences between 2021 and 2022.
While more customers are online than ever, 43% of customers still say they prefer non-digital channels.
We’ve compiled a summary to show how you can already apply AI/ML to your marketing with Salesforce’s Marketing Cloud suite of products.
State of the Connected Customer: 5th Edition, 2022, Salesforce
of customers would better trust AI if they had more control over how it's used.
of customers say AI can be a force for good or bad, depending on how it's used.
of marketers say that have a fully defined AI strategy to help scale efforts.
Marketing Cloud Engage
Marketing Cloud Account Engagement
Einstein Send Time Optimization
Einstein Engagement Frequency
Reduction of data scientists dependency
Quicker response times
Einstein Web/Email Recommendations
Einstein Content Selection
Einstein Messaging Insights
Einstein Copy Insights
Einstein Campaign Insights
Einstein Attribution
Reduction of operational duplication efforts
Operating from a central unified record
Marketing Cloud CDP
Marketing Cloud Personalization
Einstein Recipes and Decisions
Identity Matching
Increase meaningful interactions
Drive revenue
Proactively reduce churn
Increase CLV
Einstein Lead Scoring
Einstein Behaviour Scoring
Einstein Key-account Identification