Every year, Adobe’s “Sneaks” events offer an exciting glimpse at the future — straight-from-the-labs employee projects that use Adobe technologies to create potential next-generation customer experiences. At Adobe Summit 2023, Sneaks are returning in person — co-hosted by actress and comedian Tig Notaro — to showcase Adobe’s latest innovations for a live audience in Las Vegas.
Marketing teams typically spend time and resources on personalization campaigns and content creation to effectively engage with audiences at scale. Powered by Adobe Firefly's generative AI technology, “Limitless Options” seamlessly delivers personalized content via Adobe Journey Optimizer, enabling marketers to quickly create, iterate, and launch personalized campaigns and content.
Generative AI is used to increase content velocity, saving marketers time and money while reaching relevant audiences. Dozens of segments can be selected to build net-new content that is contextually accurate and beautiful.
Taking a journey from the idea stage to execution can take cross-channel campaign practitioners up to several weeks. Adobe’s “Path Wise” can reduce this effort to a matter of minutes.
Pulling data from Adobe Experience Platform, Path Wise uses machine learning to simulate how much traffic each touchpoint within a customer journey is expected to receive, and how many conversions are anticipated. The project then uses Sensei GenAI to predict how users will respond to a new journey before it is launched, providing accurate data-driven predictions on how users will flow through the stages and engage with their journey. This enables marketers to proactively change the journey and create digital experiences their customers crave.
To foster and welcome inclusivity within digital shopping experiences, “True Colors” enables Adobe Commerce customers to create personalized shopping experiences that allow shoppers to find apparel and color palettes that are best suited to their personal looks.
True Colors uses AI to analyze a single shopper-submitted image, identifying shoppers’ color undertones, contrasts between facial features, and more. This analysis is then used to match shoppers to complementary colors, based on decades of extensive color theory research — as well as Adobe’s experience in color matching from Adobe Photoshop, Adobe Lightroom and more — and filter website inventories to show which products are available in these colors. Ultimately, this removes shoppers’ need to manually match their personal coloration to available product colors, accelerating their discovery of apparel that will best compliment them.
True Colors enables a shopping experience for everyone, while also elevating commerce merchants with the ability to deliver personalized experiences. By using data for inclusive purposes, this technology can improve shopping for everyone.
Creating marketing material that is tailored to a specific audience and/or publishing channel can require a lot of time. Video marketing increases the complexity, as creating and editing videos commonly requires additional craft and expertise.
Designed to simplify the work of video marketers, “Custom Clips” showcases how analytics and past videos’ performance data can be used to modify and edit new videos automatically. Using AI, this project can help advertisers better align their videos to key audiences and destinations. As an example, it can easily trim a 60-second commercial into 15-second Connected TV spots, tailoring content towards an audience of highly loyal customers, then repeat the process by sharing a completely different set of content for a group of new customers.
Side by side
To fully understand the customer journey and make smart decisions to improve audience engagement, an enterprise’s marketing, product, and data teams need to access, and collaborate on, the same datasets.
Showcasing a truly collaborative analytics experience, “Side by Side” enables cross-functional teams to log into the same projects and collaborate with Adobe Product Analytics. In addition to allowing teams across the enterprise to view the same datasets on multiple computers at the same time, the project enables synchronized report updates, and visibility as who is looking at the report and/or actively viewing the project. Multiple cursors appear in real-time alongside a chat box for simple back-and-forth real-time communication, saving time and resources needed for one-off requests.
Imagine shopping online for a new table and chairs, then being offered a deal you cannot miss… only to discover after delivery and assembly that the new furniture does not fit in your home. Somehow you didn’t see the dimensional details before making the purchase.
“Fast Filtered” simplifies the online shopping experience so shoppers can avoid this scenario. Using AI, the project analyzes any Adobe Commerce storefront category to identify both common and unique product details, ranging from measurements and colors to materials and key features. Users can then apply their choice of filters to surface useful data — including specific custom dimensions — and reveal differences between products for quick comparison.
In addition to utilizing Fast Filtered’s algorithm to ensure product filters are focused on their needs, users can apply a patent-pending “remove from results” feature to prune product lists with a single tap, ensuring that non-relevant results are quickly factored out of the search.
In most organizations, vast quantities of data and assets go unused, but with the right tools, they can be leveraged for both analytics and content reuse.
Connecting audiences and segments natively between Adobe Real-Time Customer Data Platform (Real-Time CDP) and Adobe Experience Manager (AEM), “Segment Smarts” uses AI to help content owners discover the best content for any audience. This technology is a go-to solution for determining what on-site content is best matched with audience intent, and how it can be seamlessly activated in real-time via AEM or Adobe Target.
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