Key Differentiators:

1. Accuracy/Reliability – Use Epsilon data when you need to be right. The methodologies we employ to vet our sources, compile our data, and validate our known and modeled segments yield industry leading accuracy. What’s more, the preponderance of our segments are based on data that is known and not modeled (and we’re very transparent about which segments are modeled).
2. Granularity and Extensibility – Our data is user-friendly and transparent. We build break outs for everything from our purchase data (e.g. quintiles based on dollars spent), to our modeled data (e.g. targeting/reach extension/suppression use cases), to some of our most foundational elements (e.g. $5,000 income bands, or 1 month age increments) in such a way that it’s easy to segment out exactly the right audience quickly, confidently, and specifically. Moreover, we believe that we go deeper than any other provider in key areas – such as our ethnicity data, our transactional data, or our home & property data (to name a few).
3. Breadth, Depth, and Affordability – We offer lots of bang for your buck. Each of our packages contain hundreds of elements and our pricing is very competitive compared with other commensurately high quality options.
4. Transactionally-driven – it’s part of our DNA at Epsilon – from our transactional co-op, Abacus, to our CRM management business, to our parent company – and an integral part of our offerings as a whole. With a handful of transparent exceptions, all segments in our purchase history and transactional data packages are known and not modeled. “

Mobile Available: Yes

Pricing Model:

CPM, Flat fee

Top Client Industries:

Automotive, CPG, Financial Services, Insurance, Media & Entertainment, Retail, Telecommunications, Travel

Best Use Cases:

• Targeting, modeling, or profiling against, known purchasers of a certain product category or merchant-type (e.g. Shoe Buyers or Big Box Department Store Shoppers) for prospecting (Suppression of 1p against such segments works well too),
• Overlaying descriptive information on other data – e.g. qualifying “travel intender” data with segments that suggest the means to pay for a trip,
• Coordinating media targeting with site personalization (e.g. targeting new movers in certain geos and dynamically presenting pricing when they hit the site),
• Upper to mid-funnel brand awareness campaigns directed towards behaviorally or psychographically qualified (and vetted) audiences,
• Building custom transactional segments on the fly and delivering distinct creative treatments (e.g. people who visit big box retailers frequently but don’t spend very much might get a coupon for a larger ticket purchase – like 20% off for purchases exceeding $200) by leveraging high/medium/low recency/frequency/spend; RFM modeling and profiling against this class of data.

Contact:

OnlineDataHotline@epsilon.com

Company Website:

Countries Available:

United States

GDPR Compliance:

Epsilon US Data Management does not hold data that is impacted by GDPR. Epsilon’s data may not be used by its clients to market to individuals living in the European Economic Area because it only holds data of individuals based in the United States. Epsilon’s data is governed by U.S. laws and regulations, including the Data Standards promulgated by the Data and Marketing Association.