Healthcare and Life Sciences teams map the patient journey to spot care gaps and guide interventions. However, clinical records cover only what happens inside clinics, not the forces driving patient decisions. Enriching these records with lifestyle, socioeconomic, and consumer-behavior insights reveals the “why” behind health outcomes. That’s where non-clinical insights step in – revealing the real-world forces that shape patient results.
To address these blind spots, Experian and Komodo Health have teamed to integrate de-identified insights from millions of patient journeys with Experian’s socioeconomic and lifestyle data. This enriched view lets enterprises see each journey in full, identify care disparities, and craft smarter strategies – while rigorously protecting privacy.
Driving tangible outcomes and better patient care
This collaboration focuses on turning insights into action. With Experian and Komodo’s integrated clinical, socioeconomic, and lifestyle data, Healthcare and Life Sciences teams can move from insight to accuracy, building adherence programs, finding hard-to-reach patients, and demonstrating treatment success.
They can:
- Layer Komodo’s de-identified patient-level medical and pharmacy insights and analytics with Experian lifestyle and socioeconomic attributes
- Segment patient populations by condition, treatment history, and socioeconomic status
- Prioritize outreach – reducing waste and focusing resources where care is needed most
For instance:
Neighborhood-level gaps
Identify opportunities to capture untreated patients and improve clinical trial inclusion.
Income-related support
Flag populations most likely to benefit from cost-saving programs, ensuring communications highlight co-pay assistance or financial relief options.
Inside the data stack
At the core of Komodo Health’s AI-enabled healthcare analytics platform is its Healthcare Map®. This innovative tool integrates de-identified patient-level medical and pharmacy claims data from the patient journeys of over 330 million unique individuals – providing insights on diagnoses, treatments, outcomes, and care patterns across the United States. Experian enhances this data by adding socioeconomic and lifestyle characteristics that influence up to 80% of health outcomes.
Together, this combined data effectively addresses essential questions such as:
- Which neighborhoods face the highest diabetes risk?
- Where is therapy abandonment spiking?
- When should co-pay assistance messages drop?
- How can we accelerate HCP outreach or clinical-trial recruitment?
Experian’s socioeconomic and lifestyle insights: Fueling data-driven care decisions
In this context, Experian provides valuable insights into socioeconomic factors and lifestyle patterns, covering everything from household composition and income ranges to psychographics and other attributes that help build a broader understanding of an individual’s circumstances.
Where deep patient understanding, health engagement, and real-world evidence converge
As healthcare marketing, patient engagement, and real-world data converge, the Experian and Komodo collaboration is empowering Healthcare and Life Sciences teams with fast, actionable insights. Fusing de-identified patient-level clinical data with socioeconomic and lifestyle attributes helps teams engage the right patients, and fuels research from product launches to community programs. It elevates experiences while proving impact with real-world evidence.
Ready to utilize these insights?
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It seems that every time I go into a store today, I am offered a loyalty card. From one of my favorite local restaurants to my shoe store VIP program, I feel like I am getting a host of emails and points at every turn. Statistics support my theory: according to a recent Experian Data Quality study, 91 percent of organizations use loyalty programs. Why did they become so prevalent? Today’s consumer is more empowered than ever before and driving major change within business. In the era of Yelp, digital channels and a 24/7 shopping cycle, organizations have less control. Just look at the shoe market, which you can tell I pay attention to. It used to be that you would purchase whatever your local department store or brick-and-mortar retail had to offer, which might be 50 different options. Now, you can go online, read reviews and browse hundreds of different choices based on style and color. In fact, last night I went online and searched for black boots and scrolled through six pages of different options! Loyalty programs are a counter balance to that choice and empowered customer behavior. They make sure that while I am shopping for shoes, I am probably doing it through my preferred store and earning reward points for free merchandise. And through the loyalty process, companies are collecting a lot of data. Customers usually need to provide more than three types of information to sign up, the most popular being email, followed by name and phone number. However, collecting this information accurately isn’t always easy, which is why poor data collection is one of the leading problems for loyalty programs. Eighty-one percent of companies face challenges related to these programs, the two biggest being not enough customers signing up and poor contact data. Inaccurate data means that a customer has signed up, but the marketer is unable to communicate with them in the desired channels. This clear drop in communication and a potentially bad customer experience could be by improved data collection. Sixty-four percent of respondents say this is a needed improvement. Let’s go back to my shoe retailer example. If they had collected my email wrong, I wouldn’t get my email confirmations or offers around upcoming sales. If they got my address wrong, I wouldn’t be receiving my shoes. Considering how much money I spend on shoes annually, which I am ashamed to admit, if any of those items went wrong, I might switch to a competitor. That can equate to a lot of money annually, especially when you look at it across a large number of clients. When a customer chooses to sign up for a loyalty program, they are making a commitment to the company and expecting something in return, be it points, free shipping, coupons or just company updates. However, if bad contact information is collected, then the consumer often never receives the benefits, resulting in a bad customer experience. In the next year, marketers need to data validation in place to ensure information is accurate upon collection. This type of software can be implemented across all channels where information is collected and ensure data is accurate while the consumer is still engaged. If information is accurate when it is collected, then loyalty programs have a better chance at engaging consumers and actually seeing the benefit that a loyalty program can provide. To learn more about loyalty programs and the research mentioned above, please read our new white paper, Driving customer loyalty. Contact us today
Black Friday online traffic increased 7% in 2012 versus 2011 as the top 500 retail sites received more than 193.8 million total US visits. So far this Holiday week of online traffic to the top retail sites is up 10% on average. Online retail traffic was up 1% on Black Friday compared to Thanksgiving Day 2012 traffic this year. Amazon.com remained the top visited retail site on Black Friday while Walmart was the second most visited retail site. BestBuy moved up to the 3rd most visited site while Target was the 4th most visited site. JC Penney moved up from being the 8th most visited retail site on Thanksgiving Day to the 5th most visited on Black Friday. Among the top 5 sites, JC Penney saw the biggest day-over-day growth at 26%. Looking at the top 20 retail sites on Black Friday, the Apple Store site saw the biggest day-over-day growth at 99%. Check back for CyberMonday insight and a weekly recap of this week. Contact us today
It is time for us to polish off our crystal ball and give our predictions straight from consumers’ fingertips for the hot products of the 2012 holiday season. Gadgets will reign across many ages Tablets including LeapPads, Tabeos, iPads, Kindles and others will continue to be a popular gift this year, with more choices than ever. On the list of top product-related search terms driving traffic to the Retail 500 category of sites, Kindle Fire HD and Windows 8 top the list as new products. Additionally, Meep!, a child friendly tablet appeared in the top fifteen. Accessories for both phones and tablets will also be popular, especially as the variety grows for iPhone 5 and iPad Mini. A reoccurring favorite gift for the holidays is UGGs which shows a decrease year over year. However, another brand with a similar product is Bearpaw, which is in the top ten searches and has seen big growth year over year.Source: Experian Hitwise Dolls, video games and Furbys, oh my! To identify the popular toys for gifts this year, we researched product-related search terms driving traffic to ToysRUs.com compared to last year’s holiday season. We uncovered trends in the doll category, Doc McStuffins as number one on the list, along with the classic Barbie, which saw a growth in searches year over year. The Furby is making a strong comeback at the number two spot with a reboot and new features. Another trend here is tablets, from branded searches like LeapPad and Kurio there is also the generic term ‘tablets for kids’. In the video game category, the new Wii U that is debuting just in time for Black Friday and should be a big gift this year, along with searches for PS3 games and the Nintendo 3ds xl are all in the top 20 searches.Source: Experian Hitwise Keywords of the consumer to identify demand Beyond product names, it is important to understand the actual way people search, using key phrases and questions. Last year, for example, there was a lot of activity around ‘in-stock’ products, such as the LeapPad explorer, which was hugely popular and quickly sold out in many stores. Retailers and marketers should monitor this throughout the season and make sure to optimize for in stock if there is a popular product that they have available.Source: Experian Hitwise Consumers also focus on what is the ‘best’ – so we see search activity around ‘best place to buy’, particularly around electronics. Questions such as ‘where to buy a’ specific product are also common, such as ‘where to buy a kindle’. These phrases offer opportunities to boost search campaigns by considering how consumers phrase their questions to ensure to capture these searches.Source: Experian Hitwise Quick tip: In the retail category there will tend to be a lot of retail branded store terms but to keep up with holiday search behavior and help make analysis quick, create portfolios of branded terms to easily exclude those from a certain category. When you strip out all the variations of that term you are able to gain insight into product searches that are most popular to a certain site or category. For more insight on the hot product trends for this year from our Hitwise trend-spotters, watch our webcast. Contact us today