How to Use Data for Retail Growth

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Summary

Learning how to use data for retail growth involves analyzing customer behavior, market trends, and sales performance to make informed decisions that enhance business outcomes. By turning raw data into actionable insights, retailers can identify opportunities, address challenges, and drive sustainable growth.

  • Analyze internal performance: Evaluate metrics like revenue, profit, and promotional effectiveness to identify root causes of performance trends and areas for improvement.
  • Leverage external market insights: Integrate market data to uncover customer preferences, competitor strategies, and regional demand patterns for smarter product and promotional planning.
  • Collaborate with partners: Share real-time data with retail and distribution partners to improve decision-making and align strategies for mutual growth.
Summarized by AI based on LinkedIn member posts
  • View profile for Armin Kakas

    Revenue Growth Analytics advisor to executives driving Pricing, Sales & Marketing Excellence | Posts, articles and webinars about Commercial Analytics/AI/ML insights, methods, and processes.

    11,417 followers

    Navigating revenue growth in Consumer Products can often feel like guiding a vessel without a compass: sales and profitability fluctuate; costs increase due to tariff impacts; list prices increase, but we end up negating 50% of the increase through incremental trade dollars; market share shifts; and the list goes on. Meanwhile, we're left wondering what forces are truly at play below the surface. The fundamental question we need answers to, within minutes - and not days/weeks - is simple: "Why are we growing, and where can we accelerate growth (or why are we not growing and how can we course correct)?" For years, I've worked alongside CPG teams stuck reacting to short-term sales performance blips, combing through dozens of siloed spreadsheets and 50+ page PowerPoint decks that offer little more than analysis paralysis. What truly moves the needle is a holistic performance deep dive: an integrated, reproducible way to see your internal metrics and the external market context in a unified, well-structured manner. 1. The Internal Deep Dive A cohesive internal view of your revenue & profit performance is the difference between chasing symptoms and zeroing in on root causes. This means: - Breaking down Price, Promotion, Cost, Volume, and Mix impacts of your Net Revenue and Gross Profit performance - Quantifying the ROI of your Promotional Spend - both with a manufacturer and a retailer (and/or distributor) POV - Set up a dynamic, repeatable framework for bridging actuals to forecast and budget in real time - no more endless vlookups, pivot tables or manual deck creation. 2. The External Deep Dive CPGs can't operate in a vacuum. You need a 360° market view to stay competitive and grow profitably. Key areas include: - Integrate syndicated data to pinpoint whitespace opportunities, category drivers, competitor price, and promotional gap shifts (and their impact on our KPIs). - Measure how retailers and distributors margin up your products and how those margins shift during promotions. - Go beyond top-line category growth. Uncover how consumer behaviors (and competitor moves) affect your brand's performance. Integrating internal and external analytics into one performance deep dive gives you the power to act decisively. Instead of scrambling after each market tremor, you can proactively steer your business with precision - turning raw data that was previously disconnected into a crystal-clear story about your revenue and profit growth drivers. I've compiled a resource that explains how to build this Business Deep Dive Framework for CPGs. It connects the dots among various internal and external data pieces to tell your performance story at the click of a button each week. #revenue_growth_analytics #RevenueGrowth #CPG #Pricing #Promotions 

  • View profile for Mert Damlapinar
    Mert Damlapinar Mert Damlapinar is an Influencer

    Helping CPG & MarTech leaders master AI-driven digital commerce & retail media | Built digital commerce & analytics platforms @ L’Oréal, Mondelez, PepsiCo, Sabra | 3× LinkedIn Top Voice | Founder @ ecommert

    52,983 followers

    When I interviewed Stephan Waldeis, VP of eCommerce Europe at Husqvarna Group, he said this about tracking real-time data and retailer partnerships. “We track customer behavior, we track inventory levels at our partners, we track sales performance — and of course, we possibly... we track all of that in real time. Imagine, our robots — at least the ones from the last 10+ years — are all connected. So, we have a lot of insights in which gardens they are driving, when they are operating, etc. And that is data that we are leveraging, but also data that we are sharing with our channel partners. That’s great even for the channel partners who are not really interested in operating an eCom site. We provide them with a lot of insights… what kind of products are interesting in your area, because we know exactly from visits on our site, which products in a particular region are more relevant — in Amsterdam versus in Berlin versus in Munich.” 𝗛𝗼𝘄 𝘀𝗵𝗼𝘂𝗹𝗱 𝘄𝗲 𝘁𝗿𝗮𝗻𝘀𝗹𝗮𝘁𝗲 𝘁𝗵𝗶𝘀 𝗳𝗼𝗿 𝗖𝗣𝗚 𝗯𝗿𝗮𝗻𝗱𝘀 𝗮𝗿𝗼𝘂𝗻𝗱 𝘁𝗵𝗲 𝘄𝗼𝗿𝗹𝗱 𝘁𝗼 𝗳𝘂𝗲𝗹 𝗴𝗿𝗼𝘄𝘁𝗵? 1️⃣ Activate Real-Time Retailer Collaboration Track and share real-time consumer behavior, inventory, and sales data with retail partners — even those with limited digital capabilities — to strengthen joint decision-making, optimize local assortments, and drive smarter sell-through at the shelf. 2️⃣ Localize Product Strategies with Regional Demand Signals Use geo-specific browsing and purchase data to tailor product recommendations, promotions, and stock levels at the city or neighborhood level — what sells in Amsterdam might flop in Berlin if you don’t read the digital shelf signals correctly. 3️⃣ Turn Connected Product Data into a Competitive Advantage Leverage connected device insights (where available) not only for product innovation but as a marketing and retail sales weapon, identifying usage patterns, seasonal trends, and regional preferences that can feed back into supply chain, DTC, and retail media strategies. 𝗧𝗼 𝗮𝗰𝗰𝗲𝘀𝘀 𝗮𝗹𝗹 𝗼𝘂𝗿 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗳𝗼𝗹𝗹𝗼𝘄 ecommert® 𝗮𝗻𝗱 𝗷𝗼𝗶𝗻 𝟭𝟰,𝟬𝟬𝟬+ 𝗖𝗣𝗚, 𝗿𝗲𝘁𝗮𝗶𝗹, 𝗮𝗻𝗱 𝗠𝗮𝗿𝗧𝗲𝗰𝗵 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲𝘀 𝘄𝗵𝗼 𝘀𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲𝗱 𝘁𝗼 𝗲𝗰𝗼𝗺𝗺𝗲𝗿𝘁® : 𝗖𝗣𝗚 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗚𝗿𝗼𝘄𝘁𝗵 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿. About ecommert We partner with CPG businesses and leading technology companies of all sizes to accelerate growth through AI-driven digital commerce solutions. Our expertise spans e-channel strategy, retail media optimization, and digital shelf analytics, ensuring more intelligent and efficient operations across B2C, eB2B, and DTC channels. #ecommerce #dataanalytics #CPG #FMCG #data Milwaukee Tool Bosch Makita U.S.A., Inc. STIHL Mondelēz International Nestlé Mars Ferrero General Mills L'Oréal Henkel Beiersdorf Colgate-Palmolive The Coca-Cola Company Unilever L'Oréal Coty Kao Corporation adidas Nike New Balance PUMA Group the LEGO Group Sony Panasonic North America Bose Corporation

  • View profile for Tom Arduino
    Tom Arduino Tom Arduino is an Influencer

    Chief Marketing Officer | Trusted Advisor | Growth Marketing Leader | Go-To-Market Strategy | Lead Gen | B2B | B2C | B2B2C | Revenue Generator | Digital Marketing Strategy | xSynchrony | xHSBC | xCapital One

    9,745 followers

    Using Data to Drive Strategy: To lead with confidence and achieve sustainable growth, businesses must lean into data-driven decision-making. When harnessed correctly, data illuminates what’s working, uncovers untapped opportunities, and de-risks strategic choices. But using data to drive strategy isn’t about collecting every data point — it’s about asking the right questions and translating insights into action. Here’s how to make informed decisions using data as your strategic compass. 1. Start with Strategic Questions, Not Just Data: Too many teams gather data without a clear purpose. Flip the script. Begin with your business goals: What are we trying to achieve? What’s blocking growth? What do we need to understand to move forward? Align your data efforts around key decisions, not the other way around. 2. Define the Right KPIs: Key Performance Indicators (KPIs) should reflect both your objectives and your customer's journey. Well-defined KPIs serve as the dashboard for strategic navigation, ensuring you're not just busy but moving in the right direction. 3. Bring Together the Right Data Sources Strategic insights often live at the intersection of multiple data sets: Website analytics reveal user behavior. CRM data shows pipeline health and customer trends. Social listening exposes brand sentiment. Financial data validates profitability and ROI. Connecting these sources creates a full-funnel view that supports smarter, cross-functional decision-making. 4. Use Data to Pressure-Test Assumptions Even seasoned leaders can fall into the trap of confirmation bias. Let data challenge your assumptions. Think a campaign is performing? Dive into attribution metrics. Believe one channel drives more qualified leads? A/B test it. Feel your product positioning is clear? Review bounce rates and session times. Letting data “speak truth to power” leads to more objective, resilient strategies. 5. Visualize and Socialize Insights Data only becomes powerful when it drives alignment. Use dashboards, heatmaps, and story-driven visuals to communicate insights clearly and inspire action. Make data accessible across departments so strategy becomes a shared mission, not a siloed exercise. 6. Balance Data with Human Judgment Data informs. Leaders decide. While metrics provide clarity, real-world experience, context, and intuition still matter. Use data to sharpen instincts, not replace them. The best strategic decisions blend insight with empathy, analytics with agility. 7. Build a Culture of Curiosity Making data-driven decisions isn’t a one-time event — it’s a mindset. Encourage teams to ask questions, test hypotheses, and treat failure as learning. When curiosity is rewarded and insight is valued, strategy becomes dynamic and future-forward. Informed decisions aren't just more accurate — they’re more powerful. By embedding data into the fabric of your strategy, you empower your organization to move faster, think smarter, and grow with greater confidence.

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