How
AI Will Shape the Future of B2B Marketing
The emerging industry of Artificial Intelligence (AI) has long been speculated
about. But how will AI really change the business world as
we know it? Specifically, how will it affect the B2B marketing landscape?
Before we get understand AI’s implications for B2B marketing, we need to understand the ways in which AI will change marketing’s foundation: data.
Before we get understand AI’s implications for B2B marketing, we need to understand the ways in which AI will change marketing’s foundation: data.
AI and Data Collection
One of the most important hoops
B2B marketers have to jump through in order to build successful strategies is
to gather, analyze, and interpret customer data. Doing so with
accuracy and precision is time-intensive, costly, and complex—but it’s also
essential.
AI vastly simplifies the data
collection and analysis process by funneling information through algorithms to
organize it in ways that are accessible and intuitive. And machine learning
applications update data in real-time in a way that is relevant. In other
words, AI takes static data and makes it dynamic by adding behavioral,
contextual, and real-time variables.
Since AI has impacted the ways in
which marketers collect and analyze data, AI has also impacted the way in which
marketers can use this data to improve their marketing strategies. Today, we’ll
take a look at how these changes impact two important areas in the B2B
landscape: lead scoring and personalization.
AI and B2B Lead Scoring
As a B2B marketer, you not only
understand the importance of creating a successful lead scoring program, but
also the complexity of implementing one.
Traditionally, leads are ranked
based off an “if this, then that” system (e.g., “IF financial executive, THEN
score lead highly” or “IF prospect has opened two emails, THEN score lead
highly”).
As
technology has progressed, lead scoring has become more precise and predictive.
Businesses now use marketing automation platforms that take a broad set of
attributes related to their ideal target market and run these attributes
through algorithms to predict and rank leads.
AI, however, eliminates much of
the guesswork, as well as the trial and error by replacing human assumptions
with a more objective, precise understanding of the customer. AI has the
potential to help marketers to understand current leads better as well as
uncover new ones and align this with their overall marketing strategy.
AI and B2B Personalization
It’s no secret that, now more
than ever, personalization is an essential part of the customer experience. But
creating this personalized experience isn’t easy since customers increasingly
interact with brands across multiple channels and devices.
Today, marketers rely on CRM tools that interpret personal data such as age,
gender, location, etc. to create a personalized experience. Adding AI to the
equation, however, brings another level of personalization that can only be
achieved with the real-time capabilities of machine learning.
For example, AI applications
consider more dynamic variables such as buyer behavior, values (e.g., Does this the customer often buy from the same brands? Are they vegetarian?), and context
(e.g., Has this customer been on our website before? What other websites have
they have been on lately?).
AI can improve the process of
personalization by helping to create a unique and intuitive experience for each
customer.
AI’s Impact on B2B Personalization in the Real World
As
the world’s largest shipping container company, Maersk offers customers a a multitude of services. Personalization is a key factor—not only when it comes
to providing the best customer experience, but also for expanding Maersk’s
opportunity for sales growth.
In
2017, Maersk implemented Marketing Cloud Einstein, an AI-powered application
created by Salesforce.
“With Salesforce, we can help
account managers pick the right value propositions for the right customers,
which makes our business more relevant and more competitive,” said Shereen Elzarkani, Vice President and Global Head
of Sales at Maersk Line.
Within weeks, they saw a massive
increase in customer engagement and email open and click-through rates.
“With Marketing Cloud, we can
segment and target customers better, which means we can create more
personalized journeys,” said Louisa Cort
Andersson Loran, Vice President and Global Head of Marketing at Maersk. “We can
also, test and publish content more easily.”
Key Takeaway
AI has huge potential to expand
the boundaries of what it means to understand our customers. With this nuanced
insight, B2B marketers will be able to build smarter, more intuitive, and more
efficient marketing strategies.