EMARKETER’s Behind the Numbers daily podcast helps marketers, retailers, and advertisers better unde
On today’s podcast episode, we discuss the potential of Amazon’s new Buy for Me feature, which of it
On this special edition podcast, we examine practical ways to track commerce media ROI—covering KPI
On today’s podcast episode, we discuss how tariffs are impacting the circular economy, if these tren
On this special edition podcast, we explore how top brands master commerce media—choosing the right
On today’s podcast episode, we discuss the most likely outcome for the TikTok saga, if LinkedIn is r
On today’s special edition podcast, EMARKETER analysts Sarah Marzano and Max Willens explore how com
On today’s podcast episode, we discuss what we expect from consumer spending in Q2, the three scenar
n today’s podcast episode, we discuss where GenAI is being used along the current shopper journey, h
In today’s episode, we talk about how much debt consumers have, which buckets it lives in, and the l
On today’s podcast episode, we discuss Meta’s capacity to weather the tariff climate, how Meta plans
On today’s podcast episode, we discuss why the new funnel begins at checkout, what kinds of offers c
On today’s podcast episode, we discuss how tariffs will impact private labels, if private label stil
On today’s podcast episode, we discuss why Google is now keeping third-party cookies, who’s most lik
On today’s podcast episode, we discuss how ready Netflix is for a potential recession, if video podc
On today's podcast episode, we discuss the unofficial list of the most interesting retailers for the
On today’s podcast episode, we discuss how the judge thinks Google is, and isn’t, an illegal monopol
On today’s podcast episode, we discuss what traveler media can do that retail media can’t, what make
On today’s podcast episode, we discuss (now that tariffs are here), how they’re impacting consumer b
On today’s podcast episode, we discuss why the Trump administration extended TikTok’s sell-by date a
On today’s podcast episode, we discuss the many definitions of an “AI agent”, why they’re so hard to
