Stackline, the leading AI-enabled ecommerce and retail intelligence platform, has formed a strategic partnership with Gigi, an innovative ad tech solution provider that enables unified buying and meas...
Autore: Business Wire
This first-of-its-kind innovative partnership empowers brands with actionable ecommerce and retail data to improve audience targeting and deterministically measure multi-retailer outcomes from Streaming TV ad campaigns.
SEATTLE: Stackline, the leading AI-enabled ecommerce and retail intelligence platform, has formed a strategic partnership with Gigi, an innovative ad tech solution provider that enables unified buying and measurement for Streaming TV ads across Amazon Marketing Cloud and the Amazon DSP. This partnership combines Stackline's audience creation and multi-retailer attribution technology with Gigi’s first-party data collaboration capabilities within Amazon Marketing Cloud and AWS Clean Rooms to offer brands a powerful new way to reach relevant and engaged audiences across premium Streaming TV ad inventory like Prime Video, Disney, NBC, and more.
While Streaming TV ads can be deterministically measured across Amazon and first-party channels, understanding how these upper funnel awareness campaigns translate into actual sales across multiple retail channels beyond Amazon has historically been impossible to measure. Stackline’s multi-retailer attribution solution offers brands the ability to accurately track customer journeys across Amazon, Walmart, Target, and other major online or in-store retailers.
Stackline’s proprietary shopper data will enable Gigi to enhance its audience-building and measurement capabilities, delivering an even more impactful, results-driven experience for brands looking to see the downstream impact of their awareness campaigns. By collaborating this shopper data with Gigi’s 1P Platform, brands can now build custom first-party data audiences across retailers and channels to target, engage, and convert shoppers.
“Our expansive audience dataset enables brands to make smarter, more informed marketing decisions,” said Mitch Keidan, Co-Founder & VP of Partnerships at Stackline. “This partnership with Gigi sets a new benchmark for data-driven ecommerce success, empowering brands to engage active shopper audiences and measure the true impact of their ad spend—not just on one retailer, but across all platforms where their customers are likely to make a purchase.”
“Data collaboration is a foundational tenet of our business,” added Adam Epstein, Co-Founder & CEO of Gigi. “We believe this partnership with Stackline will provide our customers with a truly transformative approach to TV advertising and—for the first time—achieve a holistic view of their Streaming TV performance across retail platforms.”
Key Benefits of the Partnership:
This partnership brings together two leading innovators in the digital marketing and ecommerce space to provide brands with unparalleled access to omnichannel insights for enhanced Streaming TV advertising.
For more information about Stackline, visit www.stackline.com. To learn more about Gigi, visit www.Gigico.tv.
About Stackline
On a mission to fuel the future of commerce by bringing brands and customers closer together, Stackline is the leading AI-enabled retail intelligence and activation platform for the world's most innovative brands. Business leaders, product innovators, performance marketers, and financial firms trust Stackline as the single source of commerce truth. Fueled by proprietary neural networks and deep learning systems, Stackline's market insights, revenue metrics, behavioral data, and autonomous functionality create the actions that determine success or failure. Founded in 2014 in Seattle, Stackline employs over 250 connected commerce professionals creating value for 7,000 global brands.
About Gigi
Gigi helps brands and agencies buy and measure Streaming TV ads. A leading ad tech solution provider, Gigi enables data collaboration across first-party channels and Amazon Ads signals via AMC on AWS Clean Rooms for enriched audience building and deterministic measurement of multi-channel commerce outcomes.
Fonte: Business Wire