With these three features alone, marketers can:

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Make sense of mass amounts of data.
Remove duplicate data.
Connect and segment data stored across multiple systems.
Create highly targeted audience segments quickly.
Deliver content in real time, based on behaviour.
Better measure the impact of personalisation of your campaigns.
However, when it comes to the quality of your database, you still need to be following data collection and hygiene best practices. AI is only as useful as the data you’re feeding it. So if you know your data is very old or structured poorly, you’ll want to address these problems head-on!

By doing so, you’ll be confident that your high-quality data can be accurately analysed by Marketing AI and that your audience segments are reliable.

Then, there’s the matter of actually creating the personalised cameroon phone numberscontent. Again, in the past this could mean setting up emails with dynamic content that you’d need to write and manage.

Another feature of Marketing Cloud AI though, is ‘Email Content Creation’ and as the name suggests, this means having the machine write your content for you.

Using past performance and the prompts you give it, Marketing GPT will craft everything from subject lines to body content to on-brand images and layouts (using a built-in integration with Typeface). While we always recommend reviewing AI-generated content and amending where necessary, there’s no denying this is a huge timesaver.

Not just a timesaver, but a more efficient way to uncover what’s working and replicate it.

So, to answer the original question: how does Marketing Cloud use AI for personalisation? In many exciting, powerful, and must-try ways!

Of course, if you have concerns about generative AI or would like guidance on how best to use the new AI features available in Marketing Cloud, get in touch.


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Chris Thompson
Chris Thompson
Chris is an experienced marketer and certified Pardot consultant. He's passionate about improving visibility for clearer marketing attribution, which in the world of Salesforce means aligning digital marketing strategy with the objects, tools and automations available within the Salesforce tech stack and beyond. His role at MarCloud is to support the Delivery Consultants in launching and managing client projects and campaigns, ensuring the best delivery and results.

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