Automation and
machine learning technologies are changing the way marketers drive results for
their customers and brands. But there’s still a significant gap between those
who are just talking about machine learning and those who are taking action.
For marketers looking to become leaders in their field, this is an exciting
time. It’s a chance to make your mark, get ahead of competitors, and drive real
results.
To explore this
shifting landscape, we partnered with
the Massachusetts Institute of Technology Sloan Management Review (MIT SMR) to
conduct a global survey and interview over a dozen executives and academics
about their use of automation and machine learning technology and the results
they’re seeing.
Do more with your data
Companies with appreciations to use machine learning have more ability to drill-down and see their KPI data in greater detail. This can lead to increased knowledge sharing and transparency, and help teams work together to make smarter, data-driven decisions that achieve corporate-wide goals. In fact, organizations that are incentivized to use machine learning believe they are better than their competitors at making data-driven decisions.
Business success today relies on your ability to have a current and integrated view of your customers, only then you can develop meaningful relationships with them and deliver long-term brand growth. Our research, found that organizations with appreciations to use machine learning also have KPIs that help them develop an integrated view of their customers. What our research find five years down the road, is that the people who took the early bets in artificial intelligence actually achieve the learning that cannot be copied.
Our findings how there
are clear opportunities for marketers to get ahead of the pack. While nearly
three-quarters of the survey respondents believe their organizations, current
goals would be better achieved with greater investment in machine learning and
automation, only half the surveyed organizations have any incentives to make
such investments.
Here are a few ways your organization can embrace machine
learning and grasp the opportunity.
Make your marketing count
Our research shows that marketing professionals
are more than twice as likely as their mainstream counterparts to agree that
their organization is already investing in automation and machine learning
technologies to drive marketing activities.2 When these marketing activities are linked to business
goals, we see a significant upward growth trend.
Stop Reacting and Start Predicting
Organizations with incentives to use machine learning are
able to move away from old-fashioned retrospective or reactive KPIs and make
smarter decisions with forward-looking and predictive performance goals. That’s
because with machine learning technology, KPIs no longer have to be analytic
outputs, but rather data inputs that help train algorithms to anticipate
opportunities for growth. People can’t tell you what they might want
next, so we take cues from past actions to predict future intentions.
Sources:
Google/MIT SMR,
Global, Future of Marketing/KPI Survey 2018, n=3200, manager level or higher,
2018.
Google/MIT
SMR, Global, Future of Marketing/KPI Survey 2018, n=3200, manager level or
higher, KPI index (grouped based on 20/60/20 split) challenged n=645, capable
n=1928, leaders n=652, Marketer leaders are defined according to several
attributes, including how well aligned their KPIs are to their business
outcomes, 2018.
Google/MIT SMR, Global, Future of
Marketing/KPI Survey 2018, n=1468, manager level or higher vs n=1468 that do
not use machine learning, 2018.
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