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The use of retail in-store analytics involves incorporating data tracking and analytics techniques to gain customer insights and make informed decisions about the performance and operations of physical retail stores. By collecting and analyzing various data generated within the store, such as customer behavior and interactions, retailers can optimize store layouts, improve operational efficiency, and enhance the overall shopping experience.
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GenAI is poised to make a significant economic impact, with estimates suggesting it could contribute between US$2.6 trillion and US$4.4 trillion annually to global GDP by 2030 across various sectors. The future of GenAI is agentic, where AI agents collaborate in real-time to automate complex tasks and enhance decision-making. This executive playbook explores how organisations can harness agentic AI to boost efficiency, improve customer experiences, and drive revenue growth.
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Customer relationship management doesn’t need to be complicated —but old-school CRM tools can make it seem that way. Find out why top consumer brands are leaving traditional platforms in the past with this handy guide, which breaks down everything you need to know about a B2C CRM.
In this ebook, you’ll find:
– 3 reasons traditional CRMs are failing B2C brands
– What makes a B2C CRM different
– Key features and capabilities of the B2C CRM
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Differentiation drives retail success
Resilient retailers in the U.K. have been striving to offset economic uncertainty, rising costs, and online competition. How have they succeeded, and what lessons are there for retailers around the world?
The Differentiation Dividend, a new white paper from Google and Kantar, set out to ask those questions and comes to a crucial conclusion: brand differentiation is the most important driver of long-term sales success, accounting for 57% of future growth. “Brand differentiation” is defined as a brand’s ability to set trends. According to Kantar’s research, this factor is the leading driver of pricing power, the ability to command higher prices based on consumer perceptions.
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5 Strategies to turn customer data into revenue
This playbook reveals how brands can break down data silos, personalize marketing, and optimize loyalty programs to increase customer retention and revenue. Retailers are collecting more customer data than ever — but many fail to use it effectively. Without a clear data strategy, brands risk wasted marketing spend, missed opportunities, and customer churn.
Smart brands have employed a strategic roadmap for transforming raw data into powerful customer engagement strategies. With a blend of integrated campaigns, cross-channel personalization, and loyalty programs, brands can build stronger connections and drive measurable business impact.
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Websites 2025 report: How marketers are adapting to changing digital trends
54% of marketers consider personalization crucial to their website’s success, but only 5% feel their current CMS supports it effectively. This report explores the evolution of websites, revealing how global organizations are leveraging AI, personalization, and scalable CMS platforms to deliver unmatched user experiences and meet rising customer expectations.
Learn more about:
The strategic importance of websites and their direct impact on organizational revenue goals, such as traffic volume and conversion rates.
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New data on navigating the AI adoption gap
The Writer 2025 generative AI survey draws on the insights and experiences of 1,600 knowledge workers — 800 C-suite executives and 800 employees. In partnership with independent research group Workplace Intelligence, we uncovered:
What leaders are struggling with
Where they see opportunities
How employees feel about AI adoption
Take a sneak peek at some of the most eye-opening data points — and see how your company’s AI initiatives stack up.
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Retailers should try an RMN “treasure hunt” strategy
Savvy retailers are mastering strategies for turning an ordinary in-store shopping trip into a treasure hunt. In special store sections, shoppers encounter a changing selection of unique, hard-to-find or discounted items. Now, technology is offering retailers a chance to move the treasure hunt into the digital era, creating new levels of discovery and excitement with the help of in-store retail media networks through engaging displays in the aisles of supermarkets and other retail environments. For inspiration, read “5 ways to redefine the ‘treasure hunt’ with in-store retail media,” a new guide from Quad Insights.
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Social is the new search: Part 1
The popularity of learning content has risen over the last two years across social platforms. People aren’t just scrolling on social—they’re searching. From “apple puff pastry hacks” to “how to edit a video,” audiences are turning to social platforms rather than traditional search engines for answers.
In 2024, learning content outperformed platform-wide content across social video:
+47% YoY engagement growth on Instagram
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Social is the new search: Part 2
The way people search has changed. More and more, audiences are turning to social platforms — not just to browse, but to learn. From beauty hacks and home improvement tips to parenting advice, YouTube, Instagram, and Facebook have become go-to destinations for educational content.
In 2024, learning content outperformed platform-wide content across social video:
+47% YoY engagement growth on Instagram
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How AI is powering personalized experiences that customers expect
Personalization isn’t exactly groundbreaking, but thanks to AI, it’s now the secret sauce for brands looking to turn customer interactions into meaningful (and profitable) connections. AI is being used for everything from code generation and big data analytics to cybersecurity threat detection. Can it also help an organization’s diverse customer-facing initiatives deliver greater business value?