Euclid’s location data network enables retailers and restaurants to effectively engage in-store visitors, measure offline attribution, and finally level the playing field with Amazon
SAN FRANCISCO, CA – Euclid, the leading data platform for offline attribution and store visit retargeting, announced a key milestone in its offline identity graph, crossing 120 million monthly active devices. In the past six months alone, Euclid has seen its identity graph grow by 350 percent across tens of thousands of locations and is projected to continue its growth in 2018.
Resolving offline identity in a privacy-safe way empowers retail, restaurant and venue marketers to better recognize customers, leading to more relevant interactions across channels. As a result, visitors can build more authentic relationships with brands through 1:1 marketing.
“Knowing the identity of visitors to your locations is vital to understanding the impact of a store, restaurant, or venue on a buying journey that spans online and offline,” said Brent Franson, CEO of Euclid. “Retailers must evolve to meet the needs of this new landscape and that means greater visibility into customer identity and behavior in order to better allocate their marketing spend. Our growth and unique access to this large location dataset enables us to deliver targeting and attribution insights that outpace other commonly available, less reliable sources like GPS.”
According to Euclid’s Evolution of Retail: 2017 Holiday Physical and Digital Retail Trends report, e-commerce continues to build momentum, but physical stores still maintain a key role in the buying journey. By leveraging Euclid data, marketers can identify a store visit and tailor marketing efforts based on where customers are in their individual purchasing journey. Euclid’s Wi-Fi based dataset delivers three distinct advantages that support this: precision, consistency and relevance. The offline identity dataset enables precise targeting and attribution compared to other approaches such as GPS-based location datasets.
- Precision: The average accuracy of GPS-generated data is off by four city blocks. In contrast, Wi-Fi data analyzed by Euclid’s machine learning algorithms narrows the location data down to a few meters, effectively delineating whether a customer is truly inside or outside of a physical location.
- Consistency: Euclid’s offline graph collects 50 times more data points than GPS, roughly 500 data points per device on a daily basis. A consistent view of store visitation patterns over time allows marketers to predict store visits as well as develop tailored campaigns that will attract and retain customers.
- Relevance: Euclid’s network represents active, high-intent shoppers and diners as data is collected from commercial locations exclusively. In fact, 69% of Euclid’s network has been active within the last three months.
To download a free copy of the Framework for Evaluating the Accuracy of Location Data Technologies, featuring proprietary research, visit:http://go.geteuclid.com/evaluating-location-data-tech
Euclid illuminates identity and behavior in the physical world. Today’s mobile-first customer provides the opportunity to recognize every visitor who walks in the door, understand what drove that visit and retarget to influence a purchase. Marketers from the leading retail and restaurant brands rely on Euclid’s data platform to better reach, inspire and serve their customers, increasing their lifetime value in the process.
Euclid’s growing offline network captures hundreds of millions monthly visits from over one billion unique devices across tens of thousands of locations.
Euclid is backed by leading venture capital firms Benchmark Capital and NEA, as well as Cox Enterprises and Groupe Arnault, the controlling shareholder of LVMH – Moet Hennessy Louis Vuitton, the world leader in luxury products.