Consumers stick with retail brands that reflect their identity, act with integrity, and make them feel good—especially when those brands recognize loyal customers. Perks like early access matter, but tech like AI only resonates when it genuinely makes shopping easier. To keep people engaged, brands should focus on making all customers—from high earners to rural shoppers—feel seen and valued. Here’s how consumers view their favorite brands and how brands can provide more value to loyal customers.
A move to a public benefit structure could drastically cut Microsoft’s profits, signaling a power shift in the alliance that has fueled Azure’s recent growth.
Netflix remains a revenue leader in the streaming space, however tariff concerns and tightening budgets for both consumers and advertisers have increased the pressure across all providers to stand out.
On today’s podcast episode, we discuss why Google is now keeping third-party cookies, who’s most likely to buy Chrome if they have to sell it, and the impact of AI Overviews so far. Join Senior Director of Podcasts and host Marcus Johnson, Senior Director of Briefings Jeremy Goldman, and Principal Analyst Yory Wurmser. Listen everywhere and watch on YouTube and Spotify.
As tariffs put pressure on retail media budgets, advertisers are, in turn, pressuring retail media networks (RMNs) for more sophisticated measurement tools that provide them with richer data across the entire funnel.
By keeping nonprofit control, OpenAI ditches profit-first ambitions and positions itself as the ethical backbone of the AI race
71% of consumers worldwide are interested in AI agents that can answer questions for faster customer service, according to December 2024 data from Salesforce.
Social sharing aims to boost usage, yet without real-time info or buzz, it may struggle to stick
AI agents will likely limit ad opportunities during the consumer journey's consideration stage, but they will allow for more ad opportunities in the awareness stage, our research shows.
Marketers are just starting to familiarize themselves with machine-to-machine (M2M) marketing, where a brand AI agent and a consumer AI agent navigate decision-making. The next step is preparing for this AI-driven method of influencing consumers, by examining how agents “understand” their brands and work to improve those impressions.
Google’s core businesses remain strong in Q1: Browser scrutiny and AI search shifts could test the foundation of its power
A third of US employees who work against their company's generative AI (genAI) strategy do so because they feel the technology diminishes their value or creativity, according to December 2024 data from Writer.
Could OpenAI turn ChatGPT into a shopping hub? The company is reportedly partnering with Shopify in an effort similar to other genAI shopping efforts by Perplexity and Microsoft.
Several weeks ago, Amazon announced Nova Act, an AI model that can search for products, add to cart, and make purchases on someone’s behalf without intervention. As AI agents like Nova Act become more popular, marketers will need to target not only people, but the machines operating on their behalf, using a strategy called machine-to-machine—or M2M—marketing.
YouTube shows virtual influencers are gaining traction: While the technology promises innovation, not all consumers are buying in.
Only 30% of ad industry professionals have fully-scaled AI across their media campaign cycles, according to January data from the Interactive Advertising Bureau (IAB).
On today’s podcast episode, we discuss the many definitions of an “AI agent”, why they’re so hard to build right, and what comes next. Join Senior Director of Podcasts and host Marcus Johnson, Analyst Jacob Bourne, and Vice President of GenAI Dan Van Dyke. Listen everywhere and watch on YouTube and Spotify.
Nvidia and AMD face rising costs and slower rollouts, while China seizes the moment to fill market gaps with homegrown alternatives.
Google AI Overviews decrease CTRs: A new study bolsters claims that Google controls both the search experience and the advertising ecosystem.
We explore two case studies from credit unions that turned to tech to improve efficiency.