Ivy, marketing manager for a beauty brand, wants to increase brand awareness, as well as drive engagement with both new and existing customers.

Quality users

Ivy wants to increase brand awareness and sign-ups for her makeup brand by leveraging AI to uncover the types of consumer behavior with the highest potential to convert: having browsed articles containing keywords like “foundation”, “smokey eye look” and “art festivals” on external websites; and loving art films.

She then sends them cross-screen ads at the right time to drives sign-ups.

Increase revenue

Ivy wants to increase brand awareness through Facebook, but due to its limited user segments, she turns to AI for more precise user segmentation, targeting those who haven’t visited her website for seven days but browsed articles about cleansing oil comparisons on external sites.

She delivers cross-screen ads that lead these users to her campaign site of an anniversary sale to leave contact information for redeeming samples. This also helps drive customers to physical stores to try and purchase cleansing oil and other products.


Ivy uses AI to discover new visitors’ external interests, and personalize the website content for their first visit, such as showing free foundation samples to visitors who are interested in this type of products. She then sends them customer reviews on foundation colors through web push after they view the product. For visitors who have watched the foundation video A, Ivy engages them with a video shot by famous YouTuber through a trigger ad.

AI enables Ivy to engage consumers at different stages of their life cycle seamlessly, and optimize both paid and owned channels for higher ROI.

What's more? Audience intelligence

Ivy uses AI to uncover unique selling points for two similar skincare products by comparing different audience segments and their interests.

The breakdown of popular and unique topics among the product users enables Ivy and her marketing team to create more effective product messaging.