Churn is an unavoidable fact of life for streaming services, and much of the strategic thinking that goes into trying to make SVOD profitable focuses on how to minimise its impact, whether by offering more content, incorporating ad tiers, or entering into various bundling scenarios. So what s working in 2024 and what isn t? Five leading M & E analysts-ESHAP s Evan Shapiro, Erickson s Paul Erickson, Dataxis Ophelie Boucaud, TVREV s Alan Wolk, and Hub s Jon Giegengack-discuss current strategies to ward off churn-pocalypse in this clip from Streaming Media Connect 2024.
Churn is an unavoidable fact of life for streaming services, and much of the strategic thinking that goes into trying to make SVOD profitable focuses on how to minimize its impact, whether by offering more content, incorporating ad tiers, or entering into various bundling scenarios. So what s working in 2024 and what isn t? Five leading M & E analysts-ESHAP s Evan Shapiro, Erickson s Paul Erickson, Dataxis Ophelie Boucaud, TVREV s Alan Wolk, and Hub s Jon Giegengack-discuss current strategies to ward off churn-pocalypse in this clip from Streaming Media Connect 2024.
Is zero-party and first-party data emerging as a new revenue generator for OTT platforms and in the CTV landscape in Europe and the U.S., and when it comes to collecting data for monetization purposes-particularly for addressable TV-where do we draw the line vis a vis consumer privacy? ESHAP s Evan Shapiro and Dataxis TNT Market Analyst Ophelie Boucaud discuss in this clip from Streaming Media Connect.
Nothing makes recommendation engines-and every other means of profit-making leverage-go, go, go like data in its many varieties. Metadata in particular is the key to personalizing viewer experiences and optimizing content portfolios. AI plays an ever-greater role in enhancing the metadata quality and improving recommendations. As analysts focused on the M&E industry and insiders at major media companies playing critical strategic roles agree, data is also essential to understanding customer journeys and making informed decisions on how to reach and retain subscribers and, on the ad-supported side, deliver the right ads to audiences and the right audiences to brands.
Nothing makes recommendation engines-and every other means of profit-making leverage-go, go, go like data in its many varieties. Metadata in particular is the key to personalizing viewer experiences and optimizing content portfolios. AI plays an ever-greater role in enhancing the metadata quality and improving recommendations. As analysts focused on the M&E industry and insiders at major media companies playing critical strategic roles agree, data is also essential to understanding customer journeys and making informed decisions on how to reach and retain subscribers and, on the ad-supported side, deliver the right ads to audiences and the right audiences to brands.