Google’s Chatbase Launches Publicly 

Google’s Chatbase Launches Publicly 

Googles Chatbase Launches Publicly

Now, anyone can access Google’s chatbot analytics platform called Chatbase. The launch a better opportunity for developers to evaluate and enhance their bots, which will advance conversion rates and accuracy. Like Google Analytics, Google’s Chatbase is free. It will be available on platforms like Facebook Messenger, Kik, Slack, Viber, and Skype.

Google’s Chatbase currently has hundreds of companies using it, including Ticketmaster, HBO, and Viber. A spokesperson at Rakuten messaging service said: “We increased query volume by 35% for a popular stickers bot by optimizing queries with high exit rates. Chatbase has been immensely helpful. Instead of combing through logs, we rely on its machine-learning capability to help prioritize required optimizations.”

Chatbase works with the Google’s machine learning. The front page of a bot’s page on Chatbase contains running figures for active users on a daily, weekly, and monthly basis, for starters. Reports also include how many sessions users are having, and how well their bot is retaining users. It shows whether your bot is less appealing, and things that you could change to make the bot engage users better.

Chatbase’s team lead Ofer Ronen mentioned that, as they are releasing it early, Google has learned “building and analyzing bots can be challenging because the tools are relatively new and still maturing. Unlike websites and apps which are well understood, bot development is still establishing best practices. An aspect that makes bots especially challenging is how open-ended they are: Users expect bots to handle a request containing any phrasing they choose. This is an area that Chatbase is especially focused on, by exposing popular requests to which a bot is not responding well.”

Ronen also explained that Chatbot’s has the best machine learning capability available in a competitive market. “Similar problematic user messages. One example would be for finding and fixing ‘misses’, or alternate phrasing of supported actions that weren’t originally anticipated by the developer,” he said. “Putting some of Google’s machine learning capabilities to work for our users is a clear differentiator, and our users are really excited about that.”

Aparna Nayak
Aparna Nayak
I have been writing for more than 10 years because of my passion for writing, reading, and sharing it with worldwide audiences. I have published and edited many research papers and white papers in various national and international journals across the internet. I am a writer, technology enthusiast, and social media lover who runs my own blogs and websites.

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