The new Snapchat filters are able to recognize what is in your pictures, allowing the social media app to recommend graphics to go along with your posts. This includes borders, stickers and the like.
The new Snapchat filters recognize things like food, pets, sports and even specific locations. They appear amongst the usual filter options. The quiet update is an extension of Snapchat's other smart filters, which include geotags. This move also occurred just before the announcement of a massive redesign in order to make the platform more accessible to older users.
TechCrunch states "Being able to identify what’s in a photo in order to suggest filters could impact Snap’s advertising business in the future, as brands could target users based on the images they’re capturing, instead of just targeting a location or set of interests, as they do now."
Content-Recognizing Filters
The New Snapchat Filters Could Open Up New Advertising Avenues
Trend Themes
1. Content-recognizing Filters - Snapchat's new filters that recognize content can open new advertising avenues for brands to target users based on the images they're capturing.
2. Smart Filters - The extension of Snapchat's smart filters and use of AI to recognize content presents an opportunity for brands to improve user engagement and personalize their advertising efforts.
3. Visual Recognition Technology - The use of visual recognition technology in Snapchat's new filters can lead to disruptive innovation in various industries such as retail, healthcare, and entertainment.
Industry Implications
1. Advertising - Brands can leverage the new content-recognizing filters to target users based on their captured content, revolutionizing the advertising industry.
2. Retail - The visual recognition technology could allow retailers to customize their Snapchat campaigns based on the user-generated content, creating a more personalized shopping experience.
3. Entertainment - The content-recognizing filters can provide new opportunities for entertainment companies, such as recommending movie filters based on the content of a user's image.