“What began as a bold experiment in connecting brands and shoppers has now evolved into a sophisticated ecosystem driving measurable impact. The question is no longer whether retail media works, but how we make it work smarter, “ said Bec Penn, in the new Remade 2025 Trends Report. The report takes a deep dive into the evolution of retail media. From measurement and incrementality to full-funnel strategies and creative best practice, it’s packed with insights that every marketer needs to know. Highlights include: ● Why 96% of brands are still grappling with measuring ROI and incrementality ● How retail media is moving beyond owned channels to connect with consumers in smarter ways ● The rising role of agentic AI and non-linear shopping behaviours ● Why creative is undervalued yet drives up to 40-50% of campaign success Whether you’re navigating measurement challenges or exploring full-funnel strategies, this report is a must-read for anyone looking to unlock retail media’s full potential. Download the report from Mumbrella today: https://lnkd.in/gzZXv3AC
"Retail Media Evolution: Insights from Remade 2025 Trends Report"
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November’s edition of my favorite newsletter, Insight Out by Similarweb, is live (subscribe if you already haven't!). Packed with the latest shifts across Gen AI platforms, from billion-visit milestones to surprise momentum swings and market comebacks. It also highlights one of the most interesting retail stories this year: Temu’s rebound despite tariff headwinds. A great read for anyone tracking digital behavior and emerging trends. https://lnkd.in/e3Hqqg-E
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🚨 𝗦𝘁𝗼𝗽 𝗠𝗮𝗻𝗮𝗴𝗶𝗻𝗴 𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻. 𝗦𝘁𝗮𝗿𝘁 𝗠𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝗠𝗮𝗿𝗸𝗲𝘁 𝗣𝗲𝗻𝗲𝘁𝗿𝗮𝘁𝗶𝗼𝗻. Your Route-to-Market (RTM) strategy in Middle East, Asia, and Africa isn't just a cost center—it's the single 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗯𝗼𝘁𝘁𝗹𝗲𝗻𝗲𝗰𝗸 to your growth. At #VXCEED , we see the same 3 critical profit-leaks crippling FMCG/CPG leaders across the region. Are you guilty of these? 👇 ❌ 𝗧𝗵𝗲 𝟯 𝗣𝗿𝗼𝗳𝗶𝘁-𝗦𝗶𝗻𝗸𝘀 𝗶𝗻 𝗬𝗼𝘂𝗿 𝗥𝗧𝗠: 1. 𝗪𝗮𝘀𝘁𝗲𝗱 𝗙𝗶𝗲𝗹𝗱 𝗦𝗮𝗹𝗲𝘀 𝗧𝗶𝗺𝗲 • The Cost: Lost sales opportunities and ballooning resource expenditure. • Your FSAs are spending 𝟲𝟬% 𝗼𝗳 𝘁𝗵𝗲𝗶𝗿 𝗱𝗮𝘆 driving, not selling. • They’re calling on legacy outlets instead of the high-potential '𝗛𝗶𝗱𝗱𝗲𝗻 𝗚𝗲𝗺𝘀' identified by real-time demand. 2. 𝗧𝗵𝗲 𝗢𝗢𝗦/𝗘𝘅𝗰𝗲𝘀𝘀 𝗣𝗮𝗿𝗮𝗱𝗼𝘅 • You're fighting 𝗢𝘂𝘁-𝗼𝗳-𝗦𝘁𝗼𝗰𝗸 (𝗢𝗢𝗦) at retail while simultaneously holding excess, near-expiry inventory at the distributor. • Manual forecasting and poor distributor visibility are draining your working capital. • The Cost: Damaged brand loyalty and costly inventory write-downs. 3. 𝗥𝗲𝗮𝗰𝘁𝗶𝘃𝗲, 𝗗𝗲𝗹𝗮𝘆𝗲𝗱 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 • Managers are operating on data that is 24-72 hours old. By the time you identify a failing route or missed promo, the revenue is lost. • Trade spend is wasted because you can’t accurately segment retailers based on profitability, only on size. • The Cost: Ineffective marketing spend and slow response to competitor moves. The Solution: VXCEED’s AI-Powered RTM Engine 🚀 We turn these leaks into guaranteed returns using our SFA & Distribution Management solution: ✅ 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗥𝗼𝘂𝘁𝗲 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Cut transportation costs by 12% and boost FSA selling time. ✅ 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗦𝘁𝗼𝗰𝗸 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Slash OOS incidents by 40% with AI-driven replenishment orders across all tiers. ✅ 𝗦𝗺𝗮𝗿𝘁 𝗣𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Pinpoint where resources deliver the maximum +15% Uplift in Per-Outlet Sales Value. AI isn't a feature; it's the competitive edge your RTM needs to thrive in these complex markets. Ready to shift your RTM from liability to an asset? Let’s connect for a 15-minute diagnostic to identify and model the ROI of solving your top 3 profit leaks. https://lnkd.in/gtzTSj6E #FMCG #CPG #RouteToMarket #DistributionManagement #SalesForceAutomation #VXCEED #MiddleEast #Africa #Asia Cyril Ovely Smiline Arokya Pradeepa Govind Ladha
Distribution isn’t just about moving products from point A to point B. To stay competitive, it needs to be smarter, faster, and more strategic. That’s where AI comes in, turning traditional RTM into a growth engine. Here’s how AI is transforming Route-to-Market for CPG brands: ➡ Territory Prioritization Identify high-potential areas using real sales data, demographics, and trends, so your resources go where they’ll deliver real returns. ➡ Optimized Distribution Routes Use AI to account for traffic, delivery windows, and fuel costs to design efficient schedules, cutting time and cost without compromising service. ➡ Enhanced Retailer Segmentation Not all outlets contribute equally. AI helps you segment based on real buying behavior, allowing for more targeted distribution strategies. ➡ Proactive Stock Replenishment Forecast demand accurately using historical data and seasonality—keeping shelves stocked without bloating inventory. ➡ Real-Time Decision-Making Get instant visibility into what’s working, what’s not, and where to act—before issues escalate. The Result? > Lower distribution costs. > Better delivery accuracy. Higher retailer satisfaction and loyalty. AI isn’t just another add-on, it’s the edge your RTM strategy needs. Let’s talk about what that could look like for your business. Book a call with our team: https://lnkd.in/gtzTSj6E. #RouteToMarket #ArtificialIntelligence #DistributionStrategy #CPG #SupplyChain #Vxceed
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Predict, Personalize and Perform. That’s the new retail advantage💡 🧠 Predictive Analytics in Retail: Anticipating Shopper Needs in Real Time Retail is changing fast. The most successful brands today don’t just respond to shoppers, they predict what they’ll want next. Every click, search, and store visit tells a story. With AI and predictive analytics, retailers are turning data into real-time insights that help them forecast demand, personalize experiences, and make smarter decisions. Curious how leading brands are doing it? Our latest blog explores how predictive intelligence is reshaping pricing, supply chains, and customer engagement. 📍 London, UK | 15–16 April 2026 🎟 https://lnkd.in/eyMi9G6K 📖 Read the full blog: https://lnkd.in/eqb74HtX 📩 Inquiries: xandria@techtrekevent.com #PredictiveAnalytics #RetailInnovation #AIinRetail #FutureOfCommerce #NexGenRetail2026 #DataDrivenRetail
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Efficiency is the new engine of retail media growth. Skai’s latest data reveals that retail media spend surged +21% YoY in Q3, not because of rising ad costs—but because of smarter, more efficient campaigns. Here’s what’s fueling the shift: -Clicks up 19% — showing budgets are moving toward high-performing placements. -CPCs up just 2% YoY — proof that efficiency and engagement can rise together. The takeaway? Precision is paying off. Brands are optimizing smarter, spending better, and seeing measurable growth. Get all the insights in Skai’s exclusive Q3 2025 Digital Trends Report: https://okt.to/Csao8p
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Is AI is eating retail media's lunch? Or is it serving it on a silver platter? The numbers tell an interesting story. Retail media is set to hit $60 billion in 2025 [1], with in-store channels finally getting their moment. But here's where it gets messy. For Retail Media Networks You're sitting on a goldmine of in-store data and shopper intent. The challenge? 41% of you are struggling with fragmented data [2]. That's your biggest barrier to delivering the real-time personalization that actually converts. The opportunity is massive: create unified customer profiles, deploy dynamic in-store displays, and build predictive merchandising that actually works. But you need to fix the plumbing before you sell the premium “taps”. For Brand Advertisers: Stop thinking of retail media as just another Ad channel. The shift back to onsite formats (search, display, video) is smart, but the real play is assistive commerce. Personalized ads can boost product discoverability by 10-15X [3] when they're helpful, not intrusive. The brands winning in 2025 are using AI to recommend complementary products based on real-time cart activity, not just blasting promotions at anyone within Wi-Fi range. But there’s an elephant in the room: 35% of brands are delivering inconsistent experiences across channels [2]. Shoppers don't care about your tech stack. They care about relevance. So what? AI-powered retail media isn't about replacing the human touch. It's about scaling it. The retailers and brands that win will be those who use AI to serve customers better, not just sell harder. So here's my question: Are you building retail media experiences that genuinely help shoppers, or are you just digitising the same old interruption playbook? #RetailMedia #ArtificialIntelligence #Marketing #Personalization #DigitalTransformation Sources 1. Alpha Sense: Retail Media Trends 2. CMO Room: "Retail media is growing up what cmos need to watch in 2025" 3. Omdia tech by informa "Retail media set to capture one fifth of global ad-revenue by 2030"
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Alexandra Tsylnitska and I spoke to 50 leaders across the US and Europe to make sense of one of the largest transition periods in e-commerce history. For what’s top of mind in the sector, to returns and of course AI, read our findings below and get in touch with your thoughts 👇
✨ New Dawn Market Study just dropped ✨ Daniela Raffel Torrebiarte and Alexandra Tsylnitska have dug into the Future of E-Commerce 💷 💵 💶 Their findings reflect one of the largest transition periods in e-commerce history. Whilst there is uncertainty, there is also excitement for the opportunity that better systems, data, and strategies can bring to solve persistent pain-points that existing solutions haven’t yet been able to solve. Daniela and Alex spoke to 50 decision makers across the US and Europe. Here’s what they found: 1. The sector continues its unstoppable rise…but the job is getting harder for many 2. AI is everywhere…but not yet solving the hardest problems 3. Agentic Commerce is coming fast…but the path forward isn’t always clear 4. Search is in flux…but it’s an opportunity as much as a challenge. Other key areas of attention include improving analytics, forecasting, returns, and influencer marketing among many other initiatives. For the full report, see comments below 👇
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For Dawn’s latest Market Study, Daniela and I spoke to E-Commerce Leaders across the US and Europe. Find out what they had to say at this pivotal moment below👇
✨ New Dawn Market Study just dropped ✨ Daniela Raffel Torrebiarte and Alexandra Tsylnitska have dug into the Future of E-Commerce 💷 💵 💶 Their findings reflect one of the largest transition periods in e-commerce history. Whilst there is uncertainty, there is also excitement for the opportunity that better systems, data, and strategies can bring to solve persistent pain-points that existing solutions haven’t yet been able to solve. Daniela and Alex spoke to 50 decision makers across the US and Europe. Here’s what they found: 1. The sector continues its unstoppable rise…but the job is getting harder for many 2. AI is everywhere…but not yet solving the hardest problems 3. Agentic Commerce is coming fast…but the path forward isn’t always clear 4. Search is in flux…but it’s an opportunity as much as a challenge. Other key areas of attention include improving analytics, forecasting, returns, and influencer marketing among many other initiatives. For the full report, see comments below 👇
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✨ New Dawn Market Study just dropped ✨ Daniela Raffel Torrebiarte and Alexandra Tsylnitska have dug into the Future of E-Commerce 💷 💵 💶 Their findings reflect one of the largest transition periods in e-commerce history. Whilst there is uncertainty, there is also excitement for the opportunity that better systems, data, and strategies can bring to solve persistent pain-points that existing solutions haven’t yet been able to solve. Daniela and Alex spoke to 50 decision makers across the US and Europe. Here’s what they found: 1. The sector continues its unstoppable rise…but the job is getting harder for many 2. AI is everywhere…but not yet solving the hardest problems 3. Agentic Commerce is coming fast…but the path forward isn’t always clear 4. Search is in flux…but it’s an opportunity as much as a challenge. Other key areas of attention include improving analytics, forecasting, returns, and influencer marketing among many other initiatives. For the full report, see comments below 👇
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Is the Russian sports retail market a black box since major brands exited? Think again. 🇷🇺 The departure of global giants has created a dynamic and fiercely competitive landscape, with local players like Кант (Kant) and online marketplaces rapidly filling the void. For businesses looking to enter, compete, or simply understand this new reality, navigating it without data is like running a marathon blindfolded. The key challenges are clear: - 🔍 Tracking volatile pricing from a mix of local brands and parallel imports. - 📈 Identifying emerging competitors and their product assortment. - 📦 Monitoring real-time stock levels and product availability across fragmented channels. - 💡 Gauging authentic consumer sentiment from reviews and social data. This is where AI-powered web scraping provides a game-changing advantage. By systematically extracting data from key e-commerce sites, you can unlock the insights needed to: - Make precise, data-driven pricing and inventory decisions. - Gain a deep understanding of your competitors' strategies. - Adapt your product offerings to meet true market demand. Don't guess, know. Turn market uncertainty into your competitive edge. 🚀 Ready to gain unparalleled clarity on the sports retail market? Comment below with your biggest data challenge, send a DM, or contact us directly to see how we can help. 📧 Email us: info@hirinfotech.com 🌐 Visit us: hirinfotech.com Follow Hir Infotech for more data insights! #SportsRetail #DataAnalytics #WebScraping #MarketResearch #RetailTech #AI #hirinfotech
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The biggest measurement shift right now isn’t more data. It’s smarter measurement. I just read that 61% + of marketers say they’re upgrading their measurement strategy with faster MMM. Here’s what I’m seeing: - We’re moving away from last-click / channel-by-channel attribution and toward whole-business impact. - AI and automation mean MMM isn’t just annual anymore. It’s becoming always-on. - The most powerful metrics now are not just “Did the ad run?”, they’re “Did the customer stay?” and “Did the business benefit?” My take: If your measurement framework still treats MMM as a “nice to have,” you’re already behind. The tools are ready. The capability is real. What’s often missing is the mindset. Question: What’s one part of your measurement stack you’re planning to fix this quarter? #Measurement #MMM #MarketingTrends #ROI #DataDriven
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VP Partnerships UK & USA at My Telescope
1moFascinating insights, Bec Penn — and spot on. At MyTelescope, we see the same challenge every day: retail media is creating measurable impact, but too often the measurement starts too late. Understanding true demand — what consumers are actually searching for — helps brands connect the dots between awareness, intent, and conversion. By combining search data with AI, marketers can see which messages and creative genuinely drive interest long before the sale — making ROI and incrementality far clearer. Great to see this conversation shifting from “does it work” to “how do we make it smarter.”