Live From Shoptalk | Hy-Vee's SVP Of Red Media Kathryn Mazza On Retail Media Innovation & Service
In this exclusive Omni Talk interview from Shoptalk 2023, sponsored by Meta, Kathryn Mazza, the newly-appointed SVP of Red Media at Hy-Vee, shares her insights on the rapidly-evolving world of retail media networks. With an impressive 18-year career at Dick's Sporting Goods, where she launched and scaled their retail media network, Mazza brings a wealth of experience to her new role at Hy-Vee.
Discover how Hy-Vee's Red Media stands out in the competitive landscape, leveraging the company's diverse portfolio across grocery, banking, pharmacy, construction, and distribution to offer unique opportunities for advertisers. Mazza emphasizes the importance of building strong relationships with CPG brands and delivering best-in-class customer service and white glove support.
Learn about Red Media's focus on innovation, including their impressive network of 10,000 high-impact digital screens and in-store audio advertising capabilities. Mazza also discusses the significance of establishing industry-wide reporting standards, championed by the IAB, to help advertisers compare performance and optimize their ad spend across various retail media networks.
With Mazza at the helm, Hy-Vee's Red Media is poised to elevate the retail media experience for advertisers, driving growth and setting new standards in the industry.
#KatherineMaza #SVPRedMedia #HyVee #RetailMediaNetwork #HyVeePortfolio #Grocery #Banking #Pharmacy #Construction #Distribution #CPGRelationships #BestInClassCustomerService #WhiteGloveService #Data #Innovation #DigitalScreens #InStoreAdvertising #InStoreAudioAdvertising #IABReportingStandards #OptimizingAdDollars #Shoptalk2023 #DicksSportingGoods #Meta #OmniTalk
This podcast uses the following third-party services for analysis:
Podcorn - https://podcorn.com/privacy
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated inventory of concrete resources named in the episode.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.