Experian received top ranks for hashed emails (HEMs) and demographic data from Truthset Data Collective
Advertisers, technology partners, and agencies are all chasing accurate data to power their marketing strategies. Turns out, not all data is created equal and unless you’re working with the right partner, high-quality data can be hard to find. That’s because accuracy can vary widely across the industry and the partner you choose is important. A recent study conducted by data validation company Truthset showed that 51% of the data used for ad targeting and audience measurement is wrong, with average accuracy rates ranging between 32%-69% across data providers.
The data quality challenge
The lack of high-quality data poses multiple challenges in the advertising world:
- Wasted ad spend: without accurate data at the start, marketers can’t reach the right audiences, resulting in wasted impressions.
- Privacy and compliance: in an increasingly privacy-centric world, advertisers need to be especially mindful of accurate targeting to avoid putting their brand reputation at risk.
- Poor campaign performance: low-quality data skews metrics and attribution models, making it difficult to measure campaign success and optimize spend.
Low-quality data can come in different forms like inconsistent or outdated information – think demographics (age, gender) and interests (dog versus cat lover) or simply the wrong relationship can be made between datasets. Data records can be incomplete or duplicative and data segments could be misclassified or inaccurate. For example, a kids snack food company may think they’re targeting a 35-year old man, who lives in the suburbs with his young family when in fact it’s a 65-year-old woman who moved to the city after her kids went to college. It’s wasted dollars!
Build the data foundation
Data quality needs to be addressed if advertisers and advertising technology partners want to fulfill consumers’ demand for personalized marketing. Per eMarketer, more than 75% of internet users worldwide said they were willing to share their email address, brand interest, and name in exchange for personalized experiences. Without accurate data, marketers won’t be able to provide the level of personalization that consumers desire.
Validation can help advertisers evaluate third party data and help build trust across the ecosystem. Companies like Truthset review and provide an unbiased evaluation of data fidelity and quality on a regular basis.
“As cookies and mobile ad identifiers continue to phase out, consented, durable identifiers (hashed email, postal addresses) are going to serve as the foundation for identity solutions of the future,” said Chip Russo, President at Truthset. “And the only way to ensure you are transacting on the highest quality identity and demography data is to actively validate the data you rely on with a third party.”
Not all data is created equal: Experian leads the way
In Q3 2023 Truthset reviewed Experian’s marketing data – as well as several other large data providers – and found:
- Experian is the #1 data provider in terms of largest volume of high-accuracy hashed e-mails (HEMs) with demographic data
- Experian ranks #1 in accuracy for 15 marketing data attributes, including but not limited to Age, Gender, Home Owner/Renter, Geography, Education, Presence of Children, and Pet Owner
- Experian consistently has the largest number of HEMs with demographic data that are 90% or more likely to be accurate
“As a member of the Truthset Data Collective, Experian received top ranks across a variety of categories for its data,” continued Russo. “The entire digital advertising world runs on data, but focusing on data accuracy is going to drive the next phase of innovation for the industry, enhancing ROI for advertisers, CPMs for publishers, and relevant experiences for consumers.”
As Truthset’s recent study highlights, the data matched between hashed e-mails and postal addresses is crucial, underpinning everything from targeted ads to TV audience measurement. Highly accurate HEMs linked to high-quality demographic data should be the foundation of any marketing plan. Advertisers are able to overcome the complexities of identity resolution by tying online and offline touchpoints together to deliver a consistent message across channels.
Companies are striving to eliminate marketing waste and provide consumers with personalized marketing and the advertising industry can have confidence that Experian’s marketing data has been externally validated as being highly accurate. The accuracy of our data will power smarter marketing initiatives, like insights, targeting, identity, and measurement.
Let’s start a conversation about how we can fully realize the potential of data-driven advertising together.
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The world of healthcare is often left to the doctors, surgeons and scientists. They examine our bodies, organs and genetics, determining if we are healthy and advising accordingly if we are not. This trust is well-warranted, as they spend years studying and practicing to ensure their patients receive the best care possible. However, individual health status is far more complicated than that, and cannot only be restricted to biology and chemistry. There are other factors that impact our well-being that must be accounted for in order to form a comprehensive picture of our necessary healthcare. Social Determinants of Health (or SDOH) are the conditions in which people are born, grow, live, work and age that shape our everyday health. They include socioeconomic factors such as education, neighborhood and housing, employment, social support networks and accessible transportation, among others. While not directly related to our clinical health, they still account for, and influence, many of our health outcomes. Take an elderly man proudly living alone in small town USA. Managing his diabetes is increasingly challenging. He had to give up his car eight months ago, so getting to his regular medical check-ups is a struggle. Without ongoing preventative care and maintenance, this gentleman will end up in the ER with possibly life-threatening conditions. If his physician can detect the change in his access to transportation, they can connect this patient to an eldercare transportation provider, enabling ongoing preventative care and thus avoiding costly emergency visits to the hospital. Access to transportation, healthier food, higher education and even parks can be a lifesaving factor in certain scenarios. This means that healthcare companies cannot rely solely on clinical or claims data if they wish to provide the best and most impactful care planning for their patients. They must take everything into account, from education to lifestyle to neighborhood. By looking at all available data, healthcare providers are able to get a more holistic view of the consumer and drive care plans that deliver better outcomes. Unfortunately, much of this data is fragmented and scattered, making it difficult to compare data points and group patients together in meaningful and efficient ways. Experian’s robust data and analytics is used to create more than risk scores – provide the right amount of intelligence in a digestible way to the care teams and clinicians that work with these patients every day. It provides relevant actionable insight into what drives a non-clinical cap in care, allowing healthcare organizations to make unprecedented, personalized adjustments to how they engage with patients’ in a privacy and HIPAA compliant manner. To learn how your healthcare organization can improve health outcomes and patient engagement using Experian data, visit https://www.experian.com/healthcare/solutions/patient-care-management-solutions/social-determinants-health.
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