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August 30, 2022 0
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The last decade saw an explosion of health data from sources including the digitization of health records, genomics, wearables, insurance claims, and more – which by some estimates now represents about 30% of the world’s data volume.

When combined with the power of machine learning, this data has the potential to reveal new insights into patients and their unique care journeys. Just imagine an AI model that improves the accuracy of cancer diagnosis, or can help isolate the genes responsible for rare genetic conditions. Innovations like these are already beginning to improve patient outcomes, and they raise the question of how else we can replicate the beneficial application of health data more generally across the entire healthcare system in a privacy-safe way.

Digital marketing in pharma seems like a prime candidate for this type of innovation. For example, what if we could glean broad, population-level insights to deliver relevant information exactly when patients need it? Or what if we could improve the experience for the 42% of consumers who say that the relevance of the pharma ads they see are poor or very poor?

Considering that our past research has found that pharmaceutical ads can empower patients to take a more active role in researching treatments – which is also the most common factor that patients state influences their medication adherence – that would be powerful indeed. So let’s examine the state of programmatic advertising in healthcare today, dig into some of the trends holding back the use of privacy-safe health data in advertising, and explore the opportunity for pharma marketers who successfully combine the two.

The State of Pharma Marketing in 2022

For a number of reasons, linear TV has long dominated the marketing mix for pharmaceutical brands and their agencies, but viewing habits change and audiences are fragmenting. In fact, some estimate that up to 70% of streaming audiences can’t be reached by linear-only campaigns – driving many advertisers to explore programmatic formats like digital video and connected TV (CTV). The pandemic further changed the way many pharma brands view advertising, with many appreciating the important difference it made in educating consumers and providers alike.

This major landscape shift toward programmatic media by pharma represents an opportunity to rethink both ad relevancy and measurement for the industry.

First, programmatic channels offer much more precise targeting than traditional TV – with as many as four or more variables like location and household income, compared with traditional demographics. Incidentally, this aligns with what patients say they want: relevancy. According to research conducted by DeepIntent and LG Ads Solutions, 65% of the more than 2,900 adults surveyed said that targeted ads improved their experience – and 57% said CTV ads were more relevant than linear or traditional TV ads. However, the deprecation of third-party cookies in 2023 will impact the precision of some programmatic channels, making it important to invest in new tools and strategies that allow for privacy-safe audience building, targeting, and measurement. CTV, for instance, doesn’t rely on third-party cookies for audience identification and measurement.

Second, linking digital ad campaign data and health data allows advertisers to go a step beyond traditional reporting metrics. Instead of simply tracking top-level data points like the number of impressions or clicks an ad received, marketers can go much deeper and analyze real-world patient outcomes, such as the number of new patients who actually follow through with filling the prescriptions written by their doctors after viewing an ad. This is also where there is the greatest opportunity to improve audience targeting, activation, and measurement over time – and is what will soon transform digital marketing in pharma.

Supercharging Pharma Marketing With Real-Time Data and Campaign Optimization

Health data isn’t actionable on its own, and a number of challenges have historically prevented its use for advertising.

For starters, data siloing and property systems have made it difficult to extract data and collect insights from connected data sets. The need for privacy and regulatory compliance further complicates its use for advertising purposes. Plus claims data, when available, is often lagged, and a lack of integration between marketing platforms and measurement tools has made campaign optimization a difficult, time-intensive process that is nearly impossible to automate at the same depth other industries enjoy today.

But why should healthcare marketers be relegated to using tools and solutions that are second-rate and downright inferior compared to what other marketers can do? The answer is they shouldn’t, and thankfully, the latest digital marketing technology leveraging real-time data, clean rooms, and machine learning makes it possible to optimize campaigns toward real-world outcomes using digital health data in a privacy-safe way.

Within just a few days, healthcare marketers using this technology can begin to determine which of their channels and demographics are most effective at achieving their campaign goals such as audience quality and new-to-brand scripts. That information can then be interpreted using machine learning to optimize variables including creative, audience, frequency, inventory geography, and more that impact whether an ad is both timely and relevant.

For an industry that has traditionally lagged behind others like retail or finance in its adoption of programmatic, the consequences of this shift are huge. Marketers will gain a much better understanding of campaign performance, and can optimize their campaigns faster and more effectively than ever before. And for patients who may rely on a new drug or therapy, the effects of this transformation can be literally life-changing.

 

Jen Werther

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June 28, 2022 0
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While the notion has long prevailed that rural Americans live in the “digital dark,” new data suggests that rural patients are actually online just as much as their urban counterparts. And, thanks in part to widespread smartphone and data-plan usage, pharma marketers can now reach all patients—no matter their geographic location—more easily than ever before.  

Still, there’s no denying that city dwellers have better wireless and internet services. Rural residents were found to be twice as likely to have “somewhat weak” to “no wireless coverage” (24%) compared with urban residents (12%), according to data gathered from Phreesia Life Sciences, which surveyed more than 4,700 patients—including more than 1,800 rural patients—as they checked in for doctors’ appointments in December 2021 and January 2022. But despite these infrastructure challenges, smartphones are helping close the digital-access gap.

“There are a lot of misperceptions about life in rural settings, often portraying rural folks as less tech-savvy or less connected to online services,” says David Linetsky, Phreesia’s Senior Vice President, Life Sciences. “We’re really proud to be able to do this work of actually talking to patients who live in rural communities to better understand their stories and experiences.”

Phreesia survey data found that only 7% of rural patients say they don’t have access to smartphones and data plans—just a percentage more than the 6% of urban patients who say they lack such access. Therefore, given that rural patients are becoming just as accessible online as urban patients, pharma marketers should tailor their efforts to meet these populations in the digital spaces they frequent, Linetsky advises. 

“Digital platforms such as Phreesia, telehealth services, and other digital communications technologies are making healthcare more accessible to rural patients and also making it easier for manufacturers and marketers to reach those patient audiences with important health information that can help them better engage in their care,” he says.

The top activity for smartphone users across geographies is checking email, with some 82% of rural patients and 84% of urban patients listing it as an activity they use the internet on their smartphones for. Web browsing rates as all users’ second-most-popular activity, with 70% of rural patients and 72% of urban patients reporting that they browse the internet; and social media rounds out the top three, with nearly two-thirds (60%) of rural patients using their smartphones to scroll through social media, even more than the 55% of urban patients who use the internet for the same purpose.

Considering these browsing and scrolling percentages among rural patients, smartphone-optimized content is a great way to engage them. Even more notably, rural patients most want tools to help them manage their health. Top requests include: personalized resources specific to their health condition (44%); remote physician or nurse support (36%); and resources that can teach them where to find health information (27%).  

“In places with lower population densities, a lot of traditional out-of-home marketing tactics are ineffective,” Linetsky says. “Reaching patients that live in rural communities is best done through the use of digital platforms that are capable of identifying high-quality audiences that meet the specific clinical and demographic criteria you’re looking for.”

Still, in determining digital-marketing strategies, it’s important to note that rural patients find it slightly more difficult to gather healthcare information online than their urban counterparts. For instance, a little more than one-quarter (26%) of rural patients are uncertain about how to use the medical information they gather in an internet search to make health decisions, versus 23% of urban patients. In addition, rural patients tend to consider the online health information they track down less helpful than urban patients do. Fewer than one-fifth (19%) of surveyed rural patients categorized the information they found online as “very helpful,” compared with 23% of urban patients. 

That disconnect underscores the importance of making sure that the online health information marketers provide to patients is easily understandable and based on their specific needs. In addition to engaging with patients in the online spaces they already frequent, such as social media and email, optimizing pharma educational and support materials for mobile devices further increases opportunities to connect with rural patients by helping them build their healthcare awareness. 

Jackie Drees