Create content using the AI Assistant Content Accelerator
Learn how to use the AI Assistant Content Accelerator to generate proactive content variation suggestions for both text and images.
Transcript
Hello, my name’s Chris, and today we’re going to walk through the amazing features available in AI Assistant Content Accelerator and how it can help marketers by providing proactive content variation suggestions for both text and images. The variations can be used to IDA and experiment with new treatments and even import pre-approved brand assets to inform the generation. Let’s get started. AI Assistant Content Accelerator is available across the Adobe’s marketing automation solutions, such as Adobe Campaign and Adobe Journey Optimizer. For this demonstration, I’m going to use the features within Adobe Journey Optimizer to create a new variation of my fall coffee promotion in order to test out new flavor. Using my existing pumpkin spice template, I want to quickly switch it up for apple cinnamon spice instead, starting with the subject line. By opening Content Accelerator, I’m going to use the integrated prompt library to kick things off. This library provides several templates to teach users new degenerative prompting how to get started quickly. I’ll take one of the existing options and add in my context about apple cinnamon spice. Next, I’m going to provide additional guidance by encouraging Content Accelerator to use more of a FOMO-like tone, and also include emojis in the result. Then I’ll hit Generate. It’s worth noting that in addition to the prompt I’ve provided, Content Accelerator has the option of using the existing content both within the subject line and the body of the message to further contextualize the generated results. Now, it looks like I have several good results to choose from, so I’ll select the result that I like the best. In this case, I’ve also decided that I want to run this flavor as an experiment against my original pumpkin spice promotion, so I’ll enable experimentation. Content Accelerator directly integrates with the native experimentation and testing features available within Journey Optimizer. I can see that I am preserving my original promotion alongside my new version, so that I can now define the details of my tests such as holdout, success criteria, and more like I normally would. For now, let’s proceed with using Content Accelerator to modify the body of this email. Now, I’m going to go ahead and change up my tagline here quickly before using Content Accelerator to do the bulk of the heavy lifting. One of the incredible capabilities of this solution is that you can select a single line, a whole section, or even the entire email to be generated all at once. In doing so, the provided results will be contextually relevant to the surrounding elements. In this case, I’m generating the results of the description and the call to action button in one go. I can then preview the results and pick the one I like best and then add it back to the body of the message. Next, I’m going to use the integrated capabilities of Adobe Firefly to generate entirely new images on the fly. By selecting the hero image, I’ll provide in a simple prompt before going into additional settings to provide the added context, such as color and tone, lighting, and composition. I can also specify the aspect ratio by either choosing from one of the pre-existing options or by providing custom dimensions for it to generate from. To match the style I’m looking for, I’m also going to specify that I want more art-like results before clicking generate. As this runs, I just want to take a moment to highlight the unique value that Adobe Firefly’s models bring to businesses. Adobe is committed to provide generative content features through safe and ethical business practices. The models are trained off fair use content and take extra steps to consider diversity, sustainability, and accountability within the training process. Your content is secure in this process and Adobe won’t train our foundational models off of your enterprise content. We’re also committed to AI transparency and our members of the Content Authenticity Initiative, which is an established global standard for understanding when and how generative content is being used. Now, our results have come back and I have several to choose from. I’m going to select the one that I like best and save it to my repository so I can then use the image within my e-mail. I could use this image and the resulting content so far as is, but in my use case here, I instead want to use pre-approved brand assets exclusively. Now, it’s worth noting that I could actually use the e-mail that I’ve designed up to this point and send a proof back to my design team so they have something to work from. But in the interest of the demo, let’s assume that I’ve already done that and I’ve gotten back a document with pre-approved messaging and content compliant to this marketing campaign. Now, I can simply select and upload that document. Now, if we switch over to that document for just a moment, you can see that includes a variety of pre-approved messaging, context, and most importantly to me, digital assets specifically designed for this launch. When you use Content Accelerator with brand approved assets, it’ll pull from that list for both copy and content to personalize the message. Jumping back over into Journey Optimizer, we can see that I’ve selected one of those pre-approved brand assets chosen from the marketing brief by the Content Accelerator. The message is still powered by the testing and experimentation features native to Adobe Journey Optimizer, making it easy for me to see the performance of this new flavor against the original fall favorite of pumpkin spice. With AI Assistant Content Accelerator here to help, I took a process that may have taken hours or days previously and gotten the job done in a matter of minutes. I hope you enjoyed the demo and find new and creative ways to bring AI Assistant Content Accelerator into your workflows. Have a great day.
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