![]() ![]() Lastly, we took a look at NSFW images - our poor eyes - these aren’t for the faint of heart. Even the Electronics label is often triggered by the phone in the image when taking a selfie in a mirror.įor images from male users, there are slightly more labels around Vehicles/Cars, and the addition of Food and Pets. In the case of images from female users, we see more Portrait, Collage, and Head labels, which generally are applied to Selfie-type photos. In the case of Facebook, we can further drill into the labels based on gender. Once they saw the quantity, they started responding and acknowledging the images, creating a personality for the bot that resulted in an overall increase in user engagement. Why are they sending images, and what’s the context of the images? This is also an opportunity to provide support for images, which can increase user engagement.Īs an example, we had a customer who didn’t realize the number of images being sent to their bot and initially ignored them. This is another opportunity to better understand your users. Trademark and Logo were similar - images of brand logosĪn interesting takeaway with Kik is that Comics, Manga, and Drawing rated more highly than in Facebook.Animal and Mammal contain all types of animals, from pets to wildlife.Paper is similar to Text, but skews more to photos of writing on paper.Text included pictures with text, a decent amount of photos of receipts, sms/text screenshots, and other writings.Flyer and Brochure include images with text.Poster and Collage generally applied to collages of images, most often collages of people and selfies.Person, Human, People, and Portrait are images of people and often skew to selfies, although keep in mind Selfie is a label as well. The most common type of image, whether by number of bots or number of messages, are images of people - often selfies. The most common labels for images based on the number of bots receiving them are listed below: We filtered the labels further to look at labels with greater than 90 percent confidence level. The API outputs labels detected with the confidence level of detection. We ran the images from December through Amazon’s Rekognition API for image detection. In the case of images, about 37 percent of Facebook bots and 62 percent of Kik bots receive images. Most Common Gifs (based on number of messages): Most Common Gifs (based on number of bots): These are the most common animated images based on number of bots and number of messages, respectively: Nearly 14.5 percent of Facebook bots receive animated images. Similar way to stickers, animated images are another way of communicating emotions and feelings. Nearly 44 percent of Facebook bots and 54 percent of Kik bots receive stickers from users.Īs you can see for both Facebook and Kik, emoticon stickers tend to be most popular… along with cats!Īnalyzing the types of stickers provides an opportunity to better respond to users, which can increase user satisfaction and the overall engagement in your bot. Join today’s leading executives at the Low-Code/No-Code Summit virtually on November 9.
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