Marketing these days is a lot like dating. In dating, it’s important to get to know each other but it
can be easy to scare quickly. There’s a fine line between the two. Consumers feel similarly
about how they want to be marketed towards.

Think of your fairytale date—it includes a list of things exactly catered to your interests and
hobbies. It was planned through getting to know you, not by obvious surveillance. There were
no needy text messages nor any faint resemblance to Netflix’s dating thriller You

Brands need to understand their customers to provide a catered experience but too many
messages, irrelevant content, or over personalization will scare them off. Brands need to act as
the perfect date by offering perfectly relevant marketing that’s specifically curated to the
consumer’s preference without going over the top.

Think of it as a corporate version of The Bachelor—brands are dating all their consumers and to
win their rose, you need to get to know them.

According to Gartner’s recent The Essential Guide to Marketing Personalization, “78 percent of
consumers want personalized marketing communications.” And almost half of consumers will
unsubscribe from a company’s content due to irrelevant or annoying messages. Your date
brings you to a bagel shop because they know you like bagels, sounds like a good date, right?

On the other end of the spectrum, personalization sees a four percent decline in commercial
benefits when companies showcase their knowledge of customers without offering any sort of
catered help as a result. Imagine you’re with your date and they say “so I know you like bagels”
without much follow up, you won’t be so flattered this time around.

Now there’s a way to perfect your personalized marketing: mobile data. Mobile data offers the
best way to get to know your customers and how they interact with you, without going
overboard.

1. Uncover and aggregate profile data through your mobile app

Profile data includes any quantitative data accessible through your mobile app. Think
data that is initially provided through account set up. Age, gender, location, and other
typically user provided data is made accessible and analyzable. The first step to
personalization is getting to know the basic defining characteristics of your audience.

2. Qualitative behavioral data made quantifiable

Profile data can only go so far—not all 30-year-old women in Boston are the same. We
aren’t defined by our demographics; we find our identity with our hobbies and interests.
These characteristics can be quantified through behavioral data. It’s much easier to
personalize marketing toward a group of athletes than it is target young women.

Let’s say Adidas utilizes both profile and behavioral data, they can group together the
young women who consistently interact with their app or notifications relevant to running.
Now they can craft personalized messaging. Don’t waste time with basketball gear,
focus on women’s running shoes.

3. Consistent data

Consumers are on their mobile devices far more frequently than other gadgets at their
disposal. Take a look at what prompts your users to open your app and how they are
interacting within it. Mobile insights provide some of the most consistent venues for a
consumer given that mobile devices make up 70 percent of average screen time. These
days, consumers are engaging with brands through their phone and it’s imperative for
brands to know how they do so.

4. Tracking your own data

One of the strongest components of mobile data is that all the data is your own and now
you’re just processing it. It’s just like dating: you ask questions and they answer. It’s not
surveilling their Google search history or recent tweets to get to know them—you get to
know them through their interactions with you. Mobile insights are one of the best ways
to not come off as “creepy” to your consumers.

5. Mobile A/B testing and dynamic content

Dynamic content is live-changing content that caters to your consumers’
personalizations. It can input their names and behaviors into the messaging to provide
catered content based on their past interactions.

Dynamic content, used alongside A/B testing, can individualize the type and frequency
of the content. Together, it clarifies the perfect balance between too personalized and
under personalized, and too frequent and neglect.

Mobile marketing can be made easy with the correct data streams. Mobile app data is the easy,
efficient way to avoid being remembered as the creepy date who stalked your Twitter, and
instead woo your consumers from your first date and onward.





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