What "Social Artificial Intelligence" means for marketers
Artificial Intelligence is already well-established
in the world of targeted advertising and recommendations. But Artificial Intelligence
is also rapidly evolving on social media as a way to help brands quickly and
efficiently discover, engage, and learn from their followers.
Although there is no one definition for it, we can
summarize Social Artificial Intelligence, SAI (not Sai Baba!) as a form of
collecting and sifting through customer history, user-generated content, and
data from social media channels to generate more relevant content and as a
result, a more meaningful experience for followers.
Social AI has the ability to provide a better
social experience overall. For an example of what SAI can do, we just have to
look at Facebook. The social network has already incorporated artificial
intelligence as part of the platform in many innovative ways. From automatic
face tagging to the stories that appear in News Feeds, Facebook has been at the forefront of what AI can do for
social media by incorporating a variety of AI technologies that help
continuously improve the Facebook user experience.
We’re now seeing more and more social networks
investing in social AI technologies, and although the technology is still
relatively young, many remarkable new ways to surface content to audiences have
emerged. Yet, despite the ground-breaking opportunities SAI presents, it’s
shocking that many brands have yet to turn to SAI to help engage their
audiences, target new customers, and analyse the enormous volumes of social
data that is now accessible.
So to help uncover what social artificial
intelligence can do, here’s a look at some of the exciting opportunities it
brings to the table for those in the social media marketing world and how
marketers can keep an eye on this trend.
Less time monitoring,
more time creating
Rather than viewing SAI as a potential threat to
the jobs of social media marketers everywhere, John Hagel of Deloitte, suggests the new wave of
technology could actually be an exciting opportunity for brands to free up
their time for more real, creative work. If we allow machines to take care of
all the diminutive, everyday tasks that machines can take care of (such as
recommendations and customer support), then marketers can have more time to
focus on the creative side of their campaigns.
“The technology that seems so threatening now may
actually become our ally, amplifying our performance improvement by freeing us
from the tasks that today keep us tightly locked into the routines of the past
and providing us with the data we need to spark even more imagination and
creativity.”
– John Hagel, Co-chairman for Deloitte’s
Center for the Edge
For brands publishing multiple new stories or posts
per day, automating a significant portion of those messages can free up time
for creating more substantial content and monitoring responses. The New York
Times did just this with its chat bot that automates some of the 300 messages it posts to its social media pages every day.
The intelligent bot helps predict how stories will
perform on social media as well as suggests which stories editors should boost
or promote. An analysis of the campaign found that the posts generated by the chatbot received almost 380% more clicks. For marketers seeking to keep engagement
levels up while keeping the numbers of hours spent creating content down, this
can be a good way to do so.
Finding followers
with facial recognition
There are a number of facial recognition
technologies that exist, but Facebook took its algorithm to the next level with
SAI. With its enormous database of images, Facebook’s algorithm is constantly
improving through machine learning. Every time someone tags a photo, it is
added to a huge, user-driven wealth of knowledge that helps advance the entire
facial recognition algorithm. According to Facebook, it is able to accurately
identify a person 98% of the time.
Such facial recognition on a wider scale could have
many applications for a brand’s social strategy. Andy Pringle, head of performance media at digital marketing
agency, Performics, points out
just how brands will be able to target followers with facial recognition
technology:
“You can imagine brands asking people to give permission to be
recognised in return for offers while they’re out and about. Say, there’s a guy
waiting for a bus for ages in front of digital screen running a beer campaign.
If that person likes that brand on Facebook you can foresee either the screen
saying “hi” and giving him or her, a voucher code for a free beer or triggering
a voucher to be delivered to their Facebook inbox.”
Surfacing the most
valuable conversations
It’s highly unlikely that AI will ever replace all
engagements on social media because after all, the point of social media is
human interaction. But it does give brands the ability to automatically surface
the most valuable, important conversations to respond to or engage with.
As Eli Israel, the founder of Meshfire, a platform that uses AI to assist with social media, discusses the workloads of
social media managers have hit an all-time high. Social media teams have been assigned
with an overwhelming number of tasks that go beyond simple content creation - they
are required to perform a certain level of customer service as well.
Unfortunately, customer support has become a major
time suck and there a number of ways he suggests social AI can help social
media teams alleviate the pressures of providing instant support in order to
spend their very limited time much more effectively, including:
- Identifying which inquiries are coming from
real people and which are coming from bot accounts.
- Creating a queue for responses that
prioritizes high-profile users first.
- Identifying your happiest followers and the
ones who are engaging with your brand the most so focus can be placed on
them.
- Uncovering which tools were used by followers
to send you a message so that dangerous links and spam can be avoided.
What you can do now
to prepare for artificial intelligence on social media
Increased investments and resources are being
allocated to the advancement of social AI technology to revolutionize social
media and a brand’s role in it. The intersection of social media and AI also
presents many new opportunities for social media marketers to shine. To prepare
for this new age, Forrester discussed
a number of recommendations on how marketers can adapt. And while they are
mostly referring to the surge in chatbots,
the advice can also be applied to adapting to social AI.
Forrester states:
“being human, helpful, and handy is key.” The traditional marketer role of
“pushing” content must be readjusted to focusing more on two-way conversations.
AI will guide the conversations in the beginning, but humans must step in for
the actual engagements.
Marketers must also accept that they will need to
serve customers in real time. Instant responses are now expected on social
media, and these expectations will only solidify over the next year. Making
sure your team is set up internally to handle rapid turnarounds on social
media, and implementing automated response technology, if needed, will ensure
your brand is prepared to deal with these customer expectations in both the
short and long term.
How to tune into
the AI conversation
There are a number of ethical dilemmas that
surround artificial intelligence. Questionable trending algorithms and fake news are just two examples of the side effects we’ve seen so far. Even though these have
created more problems for publishers than actual brands on social media, it’s
still important to follow these stories as artificial intelligence applications
carry over into the marketing world.
The amount of research being put out is still
limited, so following the top AI thought leaders who are discussing the
intersection of AI and social media is a good way to stay on top of this trend.
IBM omnichannel marketer, Amber Armstrong; speaker and brand consultant, Tamara McCleary; and Marshall Kirkpatrick are just a few
people identified by Little Bird as the best social media thought leaders to follow in this space.
Social AI will
constantly change as it further develops, but keeping a close eye on this trend
is a good place for marketers to start. There won’t ever be a complete
substitute for human engagement, but social AI definitely has the potential to
be a means to the end goal of social media marketing, which is to truly
understand your followers.
By Michael Friend, CEO at Experra Branding Group. The GAIN Team. This
article originally appeared on VentureBeat.
Edited by ‘Dele Dele-Olukoju, Marketing Communication strategist and publisher of the online Marketing Communication Digest. He writes from Lagos, Nigeria. @deleolukoju +234 807 481 2389.
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