Snapchat’s Enhanced Search Function Pits it Against the Likes of Facebook
Snapchat recently announced that it is restructuring the way its users search for stories like the daily photos and videos that individuals and brands post to their accounts. The ‘camera company’ which is how Snapchat classifies itself officially, also announced that it will be opening up a new advertising revenue stream.
The app launched a search feature for stories that includes photos and videos that users collected at events and locations that appear for 24 hours and allows people to look up more than a million stories that were publicly shared on the platform.
The search function in Snapchat is presently the only way for finding accounts on the platform. You can either find the friends you interact with most, or search by account name for new people to follow. You can be a little more precise with the new search as it will allow you to search for accounts to follow or stories to watch, depending on the topics you choose which could be “Halloween masks” or “Thanksgiving trends.” Snapchat has launched the search feature for stories comprising the vast range of photos and videos. You can use the search bar at the top of the app to type in the keywords and see what people are sharing.
That’s not all because Snapchat also collects professional stories on its own. Recently Snapchat and Turner collected over 30 March Madness stories at different colleges. This is good news for you if you are a user as it offers you a new way to find information you are looking for, whether it’s something in your locality or any event across the country. For advertisers this offers newer places to display content. Snapchat hasn’t started allowing ads in search results but it won’t be long before it decides to do so. It could sponsor stories in the same way that Google does with its sponsored links in search results. Snapchat recently mentioned in a blog – “We’ve built a new way to understand what’s happening in Snaps that are submitted to Our Story, and to create new Stories using advanced machine learning.”