8 Characteristics All Facebook Messenger Chatbots Should Have

9425c53d2286740246792636159f1fb3Facebook Messenger chatbots deliver up to 80% better engagement than other channels (like email marketing or Facebook posts).

Not only does Facebook Messenger marketing deliver more engagement, it also allows you to collect valuable contact information and generate leads.

In terms of paid social, Facebook Messenger chatbot ads deliver up to 50x better ROA.

Facebook Messenger marketing is a win all around.

I’m so confident in its capabilities I actually created the chatbot building platform MobileMonkey so that I can help businesses tap into Facebook Messenger’s unlimited marketing potential.

Early chatbot adopters will edge out their slow-to-move competitors and reap the rewards.

If you’re one of those early adopters and are ready to get started with Facebook Messenger chatbots, here are eight characteristics to bake into your bot.

1. Chatbots Should Use Natural Language

A chatbot that sounds like a robot is a donkey, but a chatbot that sounds like a human is a unicorn.

Even when users know they’re interacting with a bot, they never want it to feel like they’re interacting with a bot.

The best bots use natural language, emojis, and maybe even GIFs.

They are empathetic — as a basic example, if a user has a problem, the chatbot will be able to recognize it as such and offer a very human “I’m sorry!”

Read full article here. 

Facebook is building chat bots that can negotiate and plan ahead like actual humans

shutterstock_239157115.0.jpgFacebook says its machines are getting more and more human.

The social giant released research Wednesday outlining its efforts to train artificially intelligent chat bots to negotiate with real humans — a skill that requires bots to actually plan a few steps ahead.

Facebook trained the bots by showing them negotiation dialogues between real people, then training the bots to “imitate people’s actions,” a process called supervised learning. In the training, the bots were asked to divide up a number of objects that each correlated with a different point value. The goal was to divide the objects through negotiation and end up with the most possible points.

Facebook claims the bots got smart enough to negotiate with humans who didn’t realize they were dealing with a machine. As explained in a Facebook blog post: “Interestingly, in the [Facebook AI Research] experiments, people did not realize they were talking to a bot and not another person — showing that the bots had learned to hold fluent conversations in English in this domain.”

Facebook says that the bots even learned to bluff, pretending to care about an outcome they didn’t actually want in order to have the upper hand down the line. “This behavior was not programmed by the researchers but was discovered by the bot as a method for trying to achieve its goals,” reads Facebook’s blog post.

Dividing up a list of fake objects doesn’t mean a whole lot, but Facebook hopes these bots could eventually assist with real-world conversations. It could be as simple as having a bot negotiate meeting times with co-workers, or as complex as conducting a business deal on your behalf.

“Think about a marketplace, like Facebook’s marketplace or Craigslist,” explained Dhruv Batra, a Georgia Tech professor who is spending a year with Facebook’s AI research team. “Sometimes you’re willing to [negotiate]. ‘I’ll drop this price if you’ll come pick up.’”

Facebook isn’t the only company trying to build smart assistants. Google, Apple and Amazon all have voice-controlled assistants in the market, but Facebook hasn’t moved into voice. Instead, it’s focusing on text-based AI challenges.

This particular technology isn’t live yet in any of Facebook’s products, but it could be soon, according to the company’s researchers. Facebook, a big proponent of open sourcing AI research, is publicly releasing the code for the negotiation bots.