In honor of Valentine’s Day, the crew at Dashbot took a better have a look at how women and men present their love for Facebook Messenger bots. Our crew processes greater than three billion messages a month; we used January’s information for our evaluation.

Here’s a holiday-themed have a look at how customers work together with Facebook chatbots.

Women’s utilization is on the rise

In basic, there are extra males utilizing Facebook chatbots than girls. On common, about 59 p.c of chatbot customers are males, whereas 37 p.c are girls and 4 p.c didn’t specify.

Men are inclined to work together with chatbots for longer as properly, with session occasions about 16 p.c longer than girls, though the variety of messages tends to be about the identical — males apparently sort extra slowly. Men have larger engagement as properly, with 27 p.c extra classes per person than girls.

About 15 p.c of each women and men use a couple of bot a month.

Women’s utilization has risen over the previous 12 months, although. In our report final 12 months, on common solely 28 p.c of a bot’s customers have been girls. Men’s engagement, as measured by classes per person, was 50 p.c larger than girls’s on the time, versus 27 p.c now. Similarly, final 12 months solely 10.6 p.c of girls used a number of bots. This quantity has elevated.

What are women and men saying?

The high messages for women and men are about the identical. Although it’s attention-grabbing to see “okay” larger up than “hello” and “howdy” for girls, as these and the thumbs up are usually the highest three total no matter gender once we checked out this up to now.

The ‘romance’ languages

We checked out just a few “romantic” phrases to see how women and men chat. For essentially the most half, the highest 10 messages have been pretty related between genders. However, the highest messages for Portuguese girls have been fairly attention-grabbing — they have an inclination to ship extra welcoming messages like “good morning,” “good afternoon,” and “good evening” (“bom dia,” “boa tarde,” and “boa noite,” respectively). Another attention-grabbing message was “cc” in French, which is slang for “coucou,” equal to “hey” or “howdy” in English.

Love stickers collectively

As we’ve talked about in earlier reviews, customers talk in additional than simply phrases — they use pictures, stickers, audio, video, and extra.

We checked out using stickers amongst women and men. Fairly equal percentages of women and men use stickers in chats — it’s solely a couple of 1 p.c distinction extra for males.

The high 10 most typical stickers, primarily based on the variety of bots, are about the identical for each. However, the subsequent 10 is the place variations begin to grow to be extra obvious.


In the subsequent 10, we see extra selection within the stickers and the relative frequency of use.

What about love?

As it’s Valentine’s Day, we needed to see the place all of the love is. While each males’s and ladies’s common sentiment throughout bots are constructive, hovering barely over impartial, girls’s sentiment is nearly double that of males. Who says “love” extra, although? Or “luv,” “I luv u,” “I like you” …

While the next share of messages containing “love” come from girls, males are inclined to ship the messages at the next frequency. About 51 p.c of messages containing the phrase “love” come from girls, as in comparison with 44 p.c from males and 5 p.c from customers who didn’t specify their gender. However, males are inclined to ship double the variety of messages per person containing a variation of the phrase love than girls. Fewer males could say it, however after they do, they are saying it extra continuously.

We’re massive followers of chatbots and love the information and insights that may be gleaned from them. It’s all unstructured information — customers can say, or write, no matter they like — telling bots precisely what they need, and what they consider the outcomes after.

Arte Merritt is the CEO and cofounder of Dashbot, a bot analytics platform for Facebook, Alexa, Google Home, Slack, Twitter, Kik, and different conversational interfaces.

This article sources info from VentureBeat