Giovanni Ramlakhan’s Post

𝗗𝗮𝘁𝗮-𝗗𝗿𝗶𝘃𝗲𝗻 𝗥𝗲𝘁𝗮𝗶𝗹: 𝗕𝗲𝘆𝗼𝗻𝗱 𝘁𝗵𝗲 𝗧𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗧𝗿𝘂𝗲 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴.... Is your retail business truly listening to its customers? Not just through surveys, but through their every click, purchase, and interaction? In today's market, the key to boosting sales and loyalty lies in decoding customer behavior with data analytics. Customer behavior analysis involves understanding the "what," "why," and "when" behind customer actions. And based on that providing the customers with services that would individually suite them which is called "Customer Personalization". Here’s a quick guide to what you should be analyzing and how to turn data into personalization: 🔍 𝗞𝗲𝘆 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝗿𝘀 𝘁𝗼 𝗔𝗻𝗮𝗹𝘆𝘇𝗲: 𝗣𝘂𝗿𝗰𝗵𝗮𝘀𝗶𝗻𝗴 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀: AOV, frequency, and product affinities. 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗕𝗼𝗱𝘆 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲: Browsing paths, time on site, cart, ordering and other engagement metrics. 𝗟𝗼𝘆𝗮𝗹𝘁𝘆 𝗦𝗶𝗴𝗻𝗮𝗹𝘀: Customer Lifetime Value (CLV), churn rate, and repeat purchase behavior. 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻𝘀: Common issues and resolution times to improve satisfaction. 🎯 𝗙𝗿𝗼𝗺 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝘁𝗼 𝗛𝘆𝗽𝗲𝗿-𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Move from segment-based marketing to 1:1 experiences. Use insights to power: 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: Tailor campaigns for groups like "High-Value Loyalists." 𝗜𝗻𝗱𝗶𝘃𝗶𝗱𝘂𝗮𝗹 𝗥𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀: "Customers like you also bought..." engines. 𝗖𝗼𝗻𝘁𝗲𝘅𝘁𝘂𝗮𝗹 𝗢𝗳𝗳𝗲𝗿𝘀: Trigger messages based on location, time, or weather. How do we do the above? Read below👇 ⚙️ 𝗧𝗵𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁'𝘀 𝗧𝗼𝗼𝗹𝗸𝗶𝘁: 𝗧𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀 & 𝗠𝗼𝗱𝗲𝗹𝘀: 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝘃𝗲 (𝗪𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝗲𝗱?): RFM Analysis and Cohort Analysis for foundational segmentation. 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 (𝗪𝗵𝗮𝘁 𝘄𝗶𝗹𝗹 𝗵𝗮𝗽𝗽𝗲𝗻?): Use Logistic Regression and Random Forest/Gradient Boosting (XGBoost) to predict churn and forecast CLV. 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝘀: Implement k-Nearest Neighbors (k-NN) for collaborative filtering recommendation systems. 𝗧𝗵𝗲 𝗴𝗼𝗮𝗹 𝗶𝘀 𝘁𝗼 𝗰𝗿𝗲𝗮𝘁𝗲 𝗮 𝘃𝗶𝗿𝘁𝘂𝗼𝘂𝘀 𝗰𝘆𝗰𝗹𝗲: analyze behavior to build personalization, which in turn improves satisfaction and drives sales, generating even more data.

Understanding the customer is crucial in retail businesses. This will not only help a business to serve it's customers better but will also help them increase sales and reduce inefficiencies (like don't stock things which customers won't buy). Modern computational capabilities along with statistics and data science, businesses can understand their customers better. This post is on how to do that and the techniques associated with the same.

"A Machine Learning Framework for Uplift Modeling through Customer Segmentation" is now available online. https://lnkd.in/dYvb6bQy • Develop a two-phase procedure for uplift modeling to identify profitable customers. • Use decision trees for stratification to advance uplift modeling in analytics and decision-making. • Create meaningful strata and estimate their average treatment effect for actionable insights. • Bridge the gap between theory and implementation with a practical uplift modeling framework.

For years, CRMs have been the central tool for managing customer data. The truth is, it was designed for sales teams, not for modern marketers. In today’s eCommerce—where scale, real-time action, and personalisation define success—relying on a sales-first CRM as your marketing core is costing businesses both revenue and relevance. 💰 Why it may be time to rethink your base system: 📊 Data scope—CRM stores historic transactions, while CDP unifies real-time customer behaviour across every channel 🕵️ User focus—CRM focuses only on known leads, CDP tracks anonymous and known users from the first click 🤖 Core function—CRM passively stores data, CDP acts as an AI-powered engine predicting intent and automating engagement 🌍 Orchestration—CRM triggers basic, channel-specific actions, CDP delivers true omnichannel journeys seamlessly The bottom line is simple: a CRM is still essential for sales, but it’s no longer enough for marketers. A CDP provides the intelligence, flexibility, and predictive power needed to build personalised customer journeys at scale. 📊 Read the full article here ➡️ https://lnkd.in/dEZffs_3 #ecommerce #martech #marketing #crm #cdp #ai 

Forget thinking of CRMs as your marketing brain—they’re not built for that. Today, marketers need to react in real time, understand customers before they even touch the mouse, and deliver experiences that actually feel human. 🤖 In today’s eCommerce, marketers need: 👀 One place to track who’s doing what, anytime 💻 Tools that spot trends and suggest the next move 🛒 Experiences that feel personal, without extra manual work A CDP makes it simple. It turns data into clear actions, helps teams connect with the right people at the right time, and boosts revenue. 📈 🔗 You can read the full article here: https://lnkd.in/drQm_wqr #ecommerce #martech #marketing #CRM #CDP

Is your customer data strategy still stuck in 2020? Here's why 83% of top performers are rebuilding their entire approach to customer analytics in 2024. 🎯 The convergence of CDPs, AI, and customer experience analytics isn't just another tech trend - it's reshaping how we understand and serve our customers. Here's what I'm seeing in the field: 1. CDP Integration is no longer optional - Modern marketing requires a unified view of customer data - Companies with integrated CDPs see 3x better campaign performance - The key? Real-time data activation, not just collection 2. AI is transforming automation - 40% increase in customer engagement through AI-driven personalization - Predictive analytics are finally delivering on their promise - Small teams can now compete with enterprise-level personalization 3. The measurement gap Most CX metrics don't tell the full story. We need to: - Connect NPS to revenue impact - Track micro-moments, not just major touchpoints - Build frameworks that actually drive decision-making 🔍 My take: After implementing these approaches with clients, I've noticed something fascinating: The companies seeing the biggest gains aren't necessarily those with the biggest budgets - they're the ones obsessed with turning data into action. ☁️ Question for the community: What's your biggest challenge in connecting customer data to actual business outcomes? Let's share experiences below. #B2BMarketing #DigitalTransformation #MarketingTrends #CustomerAnalytics #DataStrategy #CX #MarTech

Many growing businesses face the same roadblocks: scattered customer data, siloed teams, limited insights, and inefficient collaboration. The result? Missed opportunities, low retention, and slower growth. By helping organizations centralize customer information and break down data silos, we’ve seen what’s possible: ✔ 25% increase in sales revenue through better lead tracking and faster closures ✔ ~30% boost in customer satisfaction with complete interaction histories at hand ✔ 40% faster response times through automation and task alignment ✔ Real-time dashboards that turn raw data into clear, confident decisions ✔ New market expansion made achievable with targeted campaigns This is what happens when customer data becomes an asset instead of a challenge. Growth accelerates, teams collaborate better, and customer relationships deepen. If your business is still running on spreadsheets and scattered records, it might be time to rethink how data can fuel your next stage of growth. #RetailGrowth #CRM #AI #DataDriven #Agiratech #Data #Retail #Retailindustry #ODOO

Understand Your Customers Through Your Data In today’s competitive landscape, customer-centric companies, especially in retail and services, must move beyond transactions and truly understand customer behavior. This requires more than traditional systems. A modern data-driven foundation, built on a lakehouse architecture, integrates data from POS, CRM, ERP, CDP, and more, consolidating fragmented insights into a real-time, unified customer view. It doesn’t just help you analyze existing customers, but also reach new ones, especially through social media integrations. Key data insights enable: Behavioral Segmentation – Understand what drives your customers. Customer Lifetime Value (CLV) – Predict and prioritize high-value segments. Churn Analysis – Detect early signs of disengagement using ML. Next Best Offer (NBO) – Re-engage with AI-powered personalized offers. These insights fuel smarter marketing, better retention, and new revenue streams. “Let your data do the talking—build value from every interaction.” #CDP #DigitalTransformation #DataMonetization #ChurnPrediction #AI #ML #CustomerData #BusinessGrowth

𝗖𝗗𝗣𝘀: 𝐓𝗵𝗲 𝗲𝗻𝗴𝗶𝗻𝗲 𝗼𝗳 𝗺𝗼𝗱𝗲𝗿𝗻 𝗺𝗮𝗿𝘁𝗲𝗰𝗵 In 2025, customer expectations aren’t defined by products or services alone, they’re shaped by personalized, connected, and context-driven experiences. To deliver this at scale, enterprises are turning to Customer Data Platforms (CDPs) as the new core of their Martech stacks. Here’s why CDPs are becoming mission-critical: -> They unify fragmented data across silos, building a single source of truth for every customer. -> They fuel real-time personalization across channels, ensuring interactions are consistent and relevant. -> They strengthen compliance and governance, giving leaders confidence in how customer data is used. -> They empower CX, marketing, and product teams to move from reactive campaigns to predictive engagement. According to Anish Krishnan, Senior Analyst at QKS Group, “Customer Data Platforms have moved from being a ‘nice-to-have’ to the strategic control center of the modern MarTech stack. By unifying fragmented data into real-time, persistent profiles, CDPs don’t just enable better personalization; they ensure trust, governance, and agility in a privacy-first world. As third-party data deprecates, the brands that treat the CDP as their experience engine will be the ones that turn data into lasting customer value.” 🔗 Read the full article: https://lnkd.in/dNe6SVGh #CustomerDataPlatform #CX #CustomerExperience #MarTech #DataDriven #Personalization #CXTechbuzz

Unlock the Potential of Your Customer Data Customer data is available through more channels than ever these days, but as most marketers have learned the hard way, this is not the boon it sounds like. Organizing and analyzing data collected from website visits, social media platforms, ecommerce, apps, and other channels requires arduous (and time consuming) work by staff to even begin finding actionable insights. It can make even a seasoned marketing professional feel overwhelmed. But there is hope! A Customer Data Platform (CDP) is a powerful tool for unlocking the potential of the data you’re collecting on your customers. Imagine having everything you know about your customers, from both online and offline interactions, in a single location, with streamlined analysis, testing, targeting, and other marketing-related activities built in. You’ll have the right data at the right time to provide personalized experiences across channels and interactions.  Intrigued? Read more about the transformational power a CDP here: https://lnkd.in/eMu5VDpe