Monkey head.
February 3, 2021

How to Personalize Ads Without Compromising Privacy

Personalize Ads

In the world of marketing, data is king. Marketers use an abundance of user data to gather leads, increase sales, and personalize the customer experience. These data-first strategies have proven highly successful at converting customers, which is exactly why data is king.

Data-driven personalized marketing allows brands to target their campaigns at precise individuals rather than splash their messaging to random mass audiences. But with increasing awareness around data privacy recently, ad personalization has encountered a few road blocks, forcing marketers to change how they collect and/or personalize consumer data in the age of digital privacy.

Personalization vs privacy in the digital age

In recent years, personalized marketing tools have evolved to where they can now provide businesses with unparalleled insight into their customers’ behavior, which in turn helps them better understand and tailor ads for their target audiences.

In fact, Genius Monkey clients have found that, when they personalize ads around current events (such as holidays), they see a nearly 35% increase in click-through rates (CTRs) and all around performance. This kind of ad customization has become so effective and prevalent, in fact, that personalized ads are now a growing consumer expectation–with a catch.

While people enjoy and desire personalized customer experiences and ads, some users are apprehensive of data marketing tools that might blur the line between “sharable” and “private” data. In response, traditional ways of prospecting for data are being limited by new GDPR regulations that are strictly regulating the ways in which marketers can collect, store, and process user data across all fronts.

Personal data is at the heart of how marketers prospect for new business. Data collection, in particular, has become a crucial component to any marketing strategy, and it’s been that way for years. Why? Because you can’t have a significant or personal impact on specific consumers if you don’t have any of their data to work with.

But the days of mining boundless user data to create hyper-personalized ad campaigns is slowly coming to a halt. In order to continue ad tailoring, marketers need to find new solutions to data-driven personalization without compromising personal data and user privacy.

Personalize Ads

How to prospect data and protect data, at the same time

Walking the fine line between hyper-customization and data spying can be tricky, which is why it’s so important for marketers to understand how they can best collect and use customer data in order to craft an effective campaign plan. But with catered-ad marketing quickly losing footholds, what tactics can advertisers use in order to gather the user data needed to properly personalize ads and experiences for consumers? Here are a few ideas:

Add focus to your approach by sending content or offers to users who might be outside your traditional audience demographics. Don’t go so granular that you lose people who may be interested but don’t know it. For example, a truck dealership might benefit from targeting beyond only men who’ve shown interest in wanting a truck. Don’t exclude other potential consumers, such as women and/or SUV-drivers looking to shift vehicles. Sometimes you have to go broader to catch people you didn’t even know were in your target audience.

Contextual targeting is a form of advertising that focuses on delivering targeted ads to users based on categories of webpages. By analyzing keywords, the website content is analyzed. Then ads are delivered to the user based on their previous interest in that particular category/vertical. Contextual ads allow you to streamline advertising efforts, tailor ad campaigns, and target people who are already searching for products or services relevant to your brand message.

Develop buyer personas to target your ideal consumers through your content. After researching online, conducting interviews for more insight, and learning where your target audience spends time online, you can form your customers’ personas and determine what types of content they’re seeking. This will play directly into your goal setting and marketing strategies.

Ideally, any direct customer engagement you’ve had in the past has been cataloged in a company database, allowing you to analyze your customers behavior in order to craft the best strategy to marketing to them, specifically. Good examples of this are email and SMS campaigns. These are simple but effective tactics to market products and services that are relevant to specific customers based on their previous interaction with your business. All without infringing on their privacy.

Optimize your personalized marketing by finding and maintaining a healthy balance with all other aspects of your customer-tailoring process. Make sure your catered ad campaigns are supported with the right mix of strategy, technology, and creativity. Data means nothing if it’s out of sync and/or not used properly.

Your business’s customer data should be cataloged and stored for future reference, but make sure it’s not cut off from your other operational mainframes, such as marketing campaign directives or customer support details or research data. Tear down any walls that prevent insights from various departments from being easily shared or reviewed. Data silos can impede the flow of user information and lead to valuable missed opportunities and improved customer experience efforts. Your data should be harmonized for optimal results.

Privacy provides better customer experiences

There’s no denying that personalizing the customer journey is the way of the future in effective advertising. As marketing tools and data collection methods continue to evolve, catering to specific consumers without intruding on their privacy might become more challenging. But don’t let this discourage you. With the right mix of creativity, innovation and resources marketers can continue to create highly-effective personalized experiences without compromising user privacy. As marketing personalization continues to carve new paths to customer data while still protecting privacy, everyone wins.

Frequently Asked Questions (FAQ)

Why is data so important to modern marketing?

Data allows marketers to target specific individuals rather than broadcasting generic messages to mass audiences. Without customer data, it’s nearly impossible to create ads that feel relevant or personal to the people seeing them.

What is personalized marketing and why does it work?

Personalized marketing tailors ads and content to individual users based on their behaviors, interests, and demographics. Genius Monkey clients, for example, have seen nearly a 35% increase in click-through rates when ads are personalized around current events like holidays.

Are consumers actually okay with personalized ads?

Most consumers enjoy and even expect personalized experiences when browsing online. The concern isn’t personalization itself but rather how their data is being collected and used behind the scenes.

What is GDPR and how does it affect advertisers?

GDPR is a set of regulations that strictly governs how marketers can collect, store, and process user data. These rules are pushing advertisers to rethink traditional data-mining strategies and find privacy-friendly alternatives.

What is contextual targeting and how can it help?

Contextual targeting delivers ads to users based on the content of the webpages they are browsing, rather than relying on personal data profiles. It’s an effective way to reach relevant audiences while staying well within privacy boundaries.

How can marketers build audience personas without crossing privacy lines?

Marketers can research their target audiences through online data, customer interviews, and engagement history to build buyer personas. These personas help guide content strategy and ad targeting without needing to collect intrusive personal information.

What role does past engagement data play in personalization?

Past interactions like email opens, purchases, or SMS responses give marketers a direct and privacy-respecting window into what customers care about. Cataloging this data allows brands to create highly relevant follow-up campaigns without starting from scratch.

What are data silos and why should marketers avoid them?

Data silos happen when customer information is stored separately across departments and can’t be easily shared or cross-referenced. Breaking those walls down gives marketers a more complete picture of the customer and leads to better, more unified campaign decisions.

Should marketers always narrow their targeting as much as possible?

Not necessarily. Casting a slightly wider net can actually surface new customer segments you wouldn’t have found otherwise. A truck dealership, for instance, might find strong leads by targeting SUV drivers or women who haven’t traditionally been part of their core audience.

Is it possible to balance personalization and privacy long-term?

Absolutely. Platforms like Genius Monkey are built to help brands deliver highly relevant, targeted experiences while respecting user privacy. With the right mix of strategy, technology, and creativity, effective personalization and ethical data practices can absolutely go hand in hand.

Interested in learning more about how Genius Monkey can boost your conversion rates today?

Share with others
facebook twitter linkedin share