310 notes tagged as ["data analytics"]

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  • CUSTOMER BEHAVIOUR, CUSTOMER EXPECTATION, DATA ANALYTICS, SEARCH, STATS

    Consumer expectations have never been higher. In a world of mobile-first browsing, instant comparisons and AI-powered everything, retailers face a simple challenge: Make it effortless or lose the sale. The Pixel in conjunction with Athos Commerce ran a survey of 1,000 shoppers and here’s what the latest shopper behaviour data reveals about how people search, browse and buy online, and importantly what it means for your eCommerce strategy.

  • AI, BEST PRACTICE, CASE STORIES, CROSS BORDER, DATA ANALYTICS, PAYMENTS

    Europe is getting harder, not easier. New regulations are changing the rules of commerce, sophisticated fraud attacks are forcing your systems to evolve, and the shifting payment landscape is drowning your operations team in noise.

    This friction has a price tag: wasted time, lost sales, stalled growth.

    Mollie’s new report gives you the model to automate that complexity away. We show you how to use technology to handle the heavy lifting of routing, compliance, and reconciliation – allowing your human experts to stop fighting fires and start driving new growth.

  • AI, DATA ANALYTICS, LOYALTY, SUBSCRIPTION

    The most consequential customer a brand will acquire in 2026 may never read a promotional email, react to a banner ad or feel the emotional pull of a well-crafted rewards tier. It will be an artificial intelligence (AI) agent, querying product catalogs, comparing subscription value and executing purchases on behalf of a human who has already delegated the decision.

    That structural shift is forcing brands across retail, payments, telecom and financial services to rethink what loyalty means when the customer is a machine. The response, increasingly, is to stop designing loyalty programs for human feelings and start engineering them for computational legibility, making brand value queryable, parseable and optimizable in real time.

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  • DATA ANALYTICS, ONLINE ADVERTISING, TRENDS

    The state of programmatic advertising 2026

    Learn how leading brands and agencies are evolving their full-funnel strategies, embracing AI, and rethinking their tech stacks to stay competitive. The 2026 programmatic benchmarks confirm a market in lift-off. Data shows that 75% of marketers expect budgets to rise in 2026, and 84% report stronger year-over-year performance.

    Yet beneath this optimism lies a widening maturity gap between those simply keeping pace and those pulling ahead. Our research shows that top performers consistently excel in five areas: unifying fragmented workflows, consolidating their tech stacks, adopting AI where it delivers immediate impact, investing earlier in emerging channels, and redefining performance around attention and creative quality.

  • AI, DATA ANALYTICS, TRENDS

    What data, AI, & analytics leaders are prioritizing in 2026

    This report highlights the trends in data, AI, and analytics to watch for in 2026, based on a survey of data and technology enterprise leaders. Large enterprises have invested heavily in modernizing analytics and preparing for AI at scale. Yet despite this sizeable financial outlay, fragmentation is rampant and the execution gap is wide. Leaders understand that the path forward must include semantic consistency, governed AI, and portable data foundations. 

  • DATA ANALYTICS, OMNICHANNEL, STRATEGY

    A modern approach to omnichannel retail strategy

    Your customers move fluidly between online discovery, in-store browsing, digital comparison, and physical purchase, often within the same decision cycle. Learn how to bring audience-led thinking into your omnichannel strategy and build a clearer, more connected view of your customers. 

    What’s inside the guide

    A clear breakdown of the modern omnichannel customer See how shoppers move between digital and physical environments and what actually drives decisions at each step.

  • CONVERSION, DATA ANALYTICS

    Product information plays a vital role in buyer journeys

    When every second counts during peak season, manual supplier onboarding and poor product data quality can cost you conversions. New research shows that 40% of executives identify data synchronisation issues as critical barriers to competitive performance, with the impact felt most acutely during high-stakes holiday periods.

    What you’ll discover:

    Why slow supplier onboarding directly threatens assortment sustainability and revenue

  • DATA ANALYTICS, LOCATION

    Location intelligence

    Each day, shoppers create enormous amounts of data about themselves, their habits, and their preferences. As a result, supply chains (if leveraged properly) can virtually “talk” to retailers, manufacturers, and shippers.

    But none of that data becomes actionable if retailers and their partners can’t get that data to tell a meaningful story. This research aims to find out how well retailers – and their trading partners – are able to convert this data into insight.

  • DATA ANALYTICS, PRIVACY, TRUST

    Why cookies still matter for privacy and data strategy

    Whether third-party cookies finally crumble, they are creating compliance headaches—and strategic blind spots—for publishers and marketers. As Bettina Lippisch, Omeda’s VP of Privacy and Data Governance, pointed out during her talk at OX8, cookies are more than tech—they’re potentially capturing a sharing personal data of your site visitors. And the laws are catching up. 

    “Cookies collect PII. What you looked at, where you went, how long you were there, where you logged in from—it’s all data. And it’s all subject to the same rules.” 

  • BEST PRACTICE, CUSTOMER EXPERIENCE, DATA ANALYTICS, STRATEGY

    The 7 pillars of a comprehensive customer data strategy

    Understanding your customers is essential for building strong relationships and achieving lasting growth. It’s not just beneficial; it’s fundamental. Building that coveted 360-degree customer view, however, requires a solid foundation. It demands that you master several critical facets of data, insight and action. 

    Let’s explore the seven pillars of a comprehensive C360, asking the crucial questions that lead to a complete and actionable customer picture.

  • AI, CUSTOMER JOURNEY, DATA ANALYTICS, TRENDS

    5 Ways AI changed brand-customer relationships forever

    “Never be the same again” is 100% a term we would use for brand-customer relationships in the age of AI. New operational models, new types of buyer’s journeys, simplified visual search, and brands being cut out of their own marketing funnels are just some of the fundamental ways Gen AI, voice assistants, chatbots, and AI agents have changed the game forever.

    In this article, we’ll dive into 5 significant changes brought on by AI, how they add to the overall customer experience, and whether or not you should rethink your marketing strategy and daily behind-the-scenes operations. Spoiler alert: You definitely should.