Consumer Behavior Insights Tools

Introducing the web's first market map of the Product Analytics Market: I was floored when I couldn't find one of these online. Surely, Gartner or CBInsights or A16Z would have created one? It turns out not. So I spent the past 3 months: • Talking with 25 buyers • Researching the space myself • Interviewing 5 product leaders at key players This is what I learned about the most significant players in each space: (that PMs and product people need to know) 1. Core Product Analytics Platforms     The foundational tools for tracking user behavior and product performance Amplitude : The leader, an all-in-one platform for PMs to master their data Mixpanel : The leader in easy UX and pioneer in event-based analytics Heap | by Contentsquare: The automatic event tracking and real-time insights leader 2. A/B Testing & Experimentation     Platforms for analysis Optimizely : The premier tool for sophisticated A/B and multivariate testing VWO : The best for combining A/B testing with heatmaps and session recordings AB Tasty: The all-in-one solution for testing, personalization, and AI-driven insights 3. Feedback & Session Recording     Capture qualitative insights and visualize user interactions Medallia: The top choice for comprehensive experience management Hotjar | by Contentsquare: The go-to for visual feedback and user behavior insights Fullstory: The best for detailed session replay and user interaction analysis 4. Open-Source Solutions     Customizable, free analytics platforms for data sovereignty Matomo: The robust, privacy-focused open-source analytics platform Plausible Analytics: The lightweight, privacy-first analytics solution PostHog: The versatile, open source product analytics tool 5. Mobile & App Analytics     Specialized tools for mobile and app performance analysis UXCam: The best for in-depth mobile user interaction insights Localytics: The leader in user engagement and lifecycle management Flurry Analytics: The comprehensive, free mobile analytics platform 6. Data Collection & Integration     Gather and unify data across platforms Segment: The top choice for effortless customer data unification Informatica: The enterprise-grade solution for data integration and governance Talend: The flexible, open-source data integration tool 7. General BI & Data Viz     Non-product specific tools for data analysis and visualization Tableau: The leader in interactive, rich data visualization Power BI: The best for deep integration with Microsoft tools Looker: The modern BI tool for customizable, real-time insights 8. Decision Automation & AI     Systems for automated insights and decisions Databricks: The unified platform for data and AI collaboration DataRobot: The leader in automated machine learning and AI Alteryx: The comprehensive solution for analytics automation Check out the full infographic to see where your favorite tools fit and discover new platforms to enhance your product analytics stack.

𝗧𝗵𝗲 𝘁𝗿𝗲𝗻𝗱 𝘄𝗮𝘀 𝗵𝗶𝗱𝗶𝗻𝗴 𝗶𝗻 𝗽𝗹𝗮𝗶𝗻 𝘀𝗶𝗴𝗵𝘁. 𝗡𝗼 𝗼𝗻𝗲 𝗲𝗹𝘀𝗲 𝘀𝗮𝘄 𝗶𝘁. But one sock brand did. A sock brand I spoke with spotted a tiny shift in consumer behavior—𝘣𝘦𝘧𝘰𝘳𝘦 it blew up—and turned it into their lowest CPA campaign ever. The wildest part: they found the trend using a 100% free tool. 𝗪𝗵𝘆 𝗱𝗶𝗱 𝗶𝘁 𝘄𝗼𝗿𝗸? 𝗧𝗶𝗺𝗶𝗻𝗴. The biggest difference between a winning DTC brand and a struggling one isn’t budget—it’s timing. 👉 Move too late, and you’re in a price war. 👉 Move early, and you print money. Here’s what happened: On a call last week, I casually mentioned Pinterest Predicts—because Pinterest has an 80% accuracy rate in forecasting viral trends months before they peak. 𝗔𝗞𝗔: 𝟴𝟬% 𝗼𝗳 𝘁𝗵𝗲 𝘁𝗶𝗺𝗲, 𝗣𝗶𝗻𝘁𝗲𝗿𝗲𝘀𝘁 𝗰𝗮𝗻 𝘀𝗲𝗲 𝘄𝗵𝗮𝘁 𝘁𝗿𝗲𝗻𝗱𝘀 𝘄𝗶𝗹𝗹 𝘁𝗮𝗸𝗲 𝗼𝗳𝗳 𝗯𝗲𝗳𝗼𝗿𝗲 𝗮𝗻𝘆𝗼𝗻𝗲 𝗲𝗹𝘀𝗲. This sock brand took action. We noticed that "cherry" patterns were quietly trending up. Within 24 hours, they launched a cherry sock collection, tied their creative to the aesthetic, and started testing new ads. 🚀 Today: → The product/ad combo is their 3rd highest spender → Lowest CPA across all campaigns → Crushing their new customer acquisition costs 𝗧𝗵𝗶𝘀 𝗶𝘀 𝘄𝗵𝘆 𝗰𝗼𝗻𝘀𝘂𝗺𝗲𝗿 𝘁𝗿𝗲𝗻𝗱 𝗺𝗶𝗻𝗶𝗻𝗴 𝗶𝘀 𝗮 𝗰𝗵𝗲𝗮𝘁 𝗰𝗼𝗱𝗲. 🚀 Brands that move fast have: ✅ Ads that convert immediately ✅ Higher margins (first-mover advantage) ✅ Less reliance on discounts & promos 🐢 Brands that wait too long: ❌ Spend more to compete ❌ Launch when the market is saturated ❌ End up in a price war just to survive 𝗪𝗮𝗻𝘁 𝘁𝗼 𝘀𝗽𝗼𝘁 𝘁𝗿𝗲𝗻𝗱𝘀 before they blow up? Here are 4 free tools I use daily to track consumer trends before they hit mainstream: 📌 Pinterest Trends/Predicts → Forecasts viral trends months in advance 🛍️ Etsy & Amazon Search Data → Shows what niche buyers are actively searching for 🎥 TikTok Comments → Raw, unfiltered consumer obsession in real time 💬 Reddit Threads → Where micro-trends are born Most brands have access to this data—but never use it (or aren’t using it enough). 𝗕𝗲𝗰𝗮𝘂𝘀𝗲 𝗴𝗿𝗼𝘄𝘁𝗵 𝗶𝘀𝗻’𝘁 𝗮𝗯𝗼𝘂𝘁 𝘀𝗽𝗲𝗻𝗱𝗶𝗻𝗴 𝗺𝗼𝗿𝗲. 𝗜𝘁’𝘀 𝗮𝗯𝗼𝘂𝘁 𝗹𝗮𝘂𝗻𝗰𝗵𝗶𝗻𝗴 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗮𝗱 𝗮𝘁 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝘁𝗶𝗺𝗲.

🤖 Leveraging AI to Understand Your Customer's Insights 💡 In today’s rapidly evolving marketplace, understanding your customers is essential for creating differentiated products and services that drive long-term strategic advantage. With over 20 years in digital banking, #FinTech, #AdTech, and other industries, I have created innovative products and led digital transformation across more than 23 markets by analyzing the market, understanding customer needs, and leveraging emerging technologies to drive exponential growth.🌍✨ Here's a sneak peek into our first #Digital and AI #Masterclass session, which attracted over 80 registrants! We explored top AI tools transforming customer insights, along with essential topics like market analysis and competitor insights. 🔍👇 Key Tools for Customer Understanding: Surveys & Questionnaires 📊: Qualtrics XM: AI-driven analytics for deep insights. Typeform with AI: Adaptive surveys for richer engagement. SurveyMonkey Genius: Optimized questions and data analysis. Customer Interviews 🎙️: Otter.ai: Effortless transcription and analysis. Sonar: Identifies recurring themes in calls. ChatGPT: Summarizes feedback themes for targeted insights. Social Media Listening 📲: Sprout Social, Inc. Social: Sentiment analysis across channels. Brandwatch: Tracks market trends and competitive intel. Hootsuite Insights: AI-driven social engagement insights. Product Reviews & Customer Support Analysis 🛠️: ReviewTrackers: Aggregates and scores review sentiment. Zendesk AI: Analyzes support tickets for common issues. Mastering customer insights with the right AI tools is a critical edge in today's competitive landscape. 🎯 How are you leveraging AI tools to gain deeper insights into your customers? 🤔 #AI #DigitalTransformation #CustomerInsights #ProductLeadership #Innovation #Masterclass #AIforBusiness #CustomerExperience

Certainly, while wishlists have emerged as a valuable tool for gauging consumer interest, there are several other methods and metrics that e-commerce platforms can use to measure consumer interest: 1. Cart Abandonment Rate: Observing how many customers add products to their carts but don't complete the purchase can provide insights into potential hesitations or barriers. 2. Product Views: The number of times a product is viewed can indicate its popularity or interest level. 3. Time Spent on Page: Monitoring the average time consumers spend on product pages can hint at their level of interest. 4. Product Reviews and Ratings: A high number of reviews or ratings, even if mixed, can signify strong interest or engagement with a product. 5. Search Query Analysis: Observing which products or categories users are searching for on the platform can indicate trending interests. 6. Social Media Engagement: Shares, likes, comments, and mentions related to products can provide insights into consumer preferences. 7. Referral Traffic: Analyzing traffic from external sites or social media can show where the interest is coming from and which products are driving it. 8. Customer Surveys and Feedback: Directly asking customers about their preferences or interests can yield detailed insights. 9. Sales Data: A straightforward metric, but analyzing which products are selling the most can clearly indicate consumer interest. 10. Click-Through Rate (CTR): Observing how often people click on a product after seeing it in a recommendation or advertisement can be a strong indicator. 11. User-Generated Content: If consumers are posting pictures, videos, or blogs about a product, it showcases genuine interest and engagement. 12. Repeat Purchases: Products that are frequently repurchased can indicate high levels of satisfaction and interest. 13. Customer Service Inquiries: The number and nature of questions related to a product can offer insights into areas of curiosity or concern. 14. Heatmaps: Tools that show where users most frequently click, move, or hover on a page can help in understanding which products or sections grab their attention. 15. Newsletter and Email Open Rates: If consumers are frequently opening emails about specific products or categories, it can be an indication of their interest areas. 16. Retargeting Campaign Success: The conversion rate of retargeting campaigns can provide insights into the residual interest of consumers after their initial interaction. By leveraging a combination of these methods, brands can gain a comprehensive understanding of consumer interest, helping them to tailor their offerings and marketing strategies more effectively. #ecommerce #LinkedInNewsIndia

Old but underrated tool in Amazon Brand Analytics. Market Basket Analysis! Market Basket Analysis gives you the top 3 products customers also buy when buying one of your products. You can use this data for PPC to get a list of Asin to target with Sponsored Products, Sponsored Brands, or Sponsored Display Asin targeting ads. Or you can use it to get ideas for new products to launch! Or to create virtual bundles. Go to 🟠 Brand Analytics 🟠 Consumer Behavior Analytics 🟠 Market Basket Analysis 🟠 Filter Reporting Range ( I like to do Quarterly to get a larger data set) 🟠 Filter Products Displayed to see only Your Brand combination of products from your brand (great for virtual bundles ideas) 🟠 Filter Products Displayed to see Your Brand combination Excluded (Great for new product launch ideas) As always, I love Brand Analytics data as it is 1P data, not just guesstimates. I would love to hear how you are using Market Basket Analysis.

𝗖𝗼𝗻𝗱𝘂𝗰𝘁𝗶𝗻𝗴 𝗠𝗮𝗿𝗸𝗲𝘁 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵: 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹 𝗧𝗼𝗼𝗹𝘀 𝘁𝗼 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝗬𝗼𝘂𝗿 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗧𝗮𝗿𝗴𝗲𝘁 𝗔𝘂𝗱𝗶𝗲𝗻𝗰e Market research is key to developing a successful business strategy. Learn how to use various tools to gather insights about your competition and target audience, enabling you to make data-driven decisions for your startup. 🎯 Identify and understand your ideal customers.   📊 Analyze competitors to uncover market opportunities.   💡 Use innovative tools to gain insights into customer behavior and industry trends.   🔍 Leverage niche platforms for competitor and audience analysis.   🛠️ Implement data to refine your product and marketing strategies. 𝗞𝗲𝘆 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀  🧐 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝗬𝗼𝘂𝗿 𝗔𝘂𝗱𝗶𝗲𝗻𝗰𝗲: To connect with your audience, you need to understand their demographics, interests, pain points, and behavior. Building detailed customer personas will guide your marketing and product development efforts. 📊 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗼𝗿 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: By studying your competitors, you can learn about industry standards, customer preferences, and areas where you can differentiate your offering. 🛠️ 𝗧𝗼𝗼𝗹𝘀 𝗳𝗼𝗿 𝗗𝗲𝗲𝗽 𝗠𝗮𝗿𝗸𝗲𝘁 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵:   𝟭. 𝗕𝘂𝘇𝘇𝗦𝘂𝗺𝗼: Discover trending content in your industry, analyze competitor content strategies, and find influencers relevant to your target market. 𝟮. 𝗤𝘂𝗮𝗻𝘁𝗰𝗮𝘀𝘁: Gain insights into your audience's behavior and demographics, helping you to target ads effectively and understand visitor profiles. 𝟯. 𝗦𝗽𝘆𝗙𝘂: Get detailed insights into your competitors' keywords, ad campaigns, and SEO strategies. 𝟰. 𝗦𝘂𝗿𝘃𝗮𝘁𝗮: Use this tool to conduct consumer surveys that provide actionable insights. 💡 𝗔𝗜-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗠𝗮𝗿𝗸𝗲𝘁 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵: - 𝗖𝗿𝗶𝗺𝘀𝗼𝗻 𝗛𝗲𝘅𝗮𝗴𝗼𝗻: An AI tool that provides deep insights into consumer opinions, behaviors, and market trends by analyzing social media, blogs, and other online data sources. - 𝗛𝘂𝗯𝗦𝗽𝗼𝘁'𝘀 𝗔𝗜: Use AI to analyze customer data and behavior. HubSpot's AI tools can help you identify patterns in customer interactions, providing insights into what drives engagement. 🔍 𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗲 𝗡𝗶𝗰𝗵𝗲 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀:   - 𝗦𝗶𝗺𝗶𝗹𝗮𝗿𝗪𝗲𝗯: Analyze website traffic data for your competitors. Understand their online presence, traffic sources, and audience behavior to identify market opportunities. - 𝗖𝗿𝗮𝘁𝗲: A content curation tool that helps you discover the most popular content in your industry. See what topics resonate with your target audience and align your content strategy accordingly. 🚀 𝗣𝘂𝘁 𝗗𝗮𝘁𝗮 𝗶𝗻𝘁𝗼 𝗔𝗰𝘁𝗶𝗼𝗻: Use the insights gathered from these tools to refine your business strategy. 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻: What market research tools have you found most effective in understanding your competition and audience, and how did they impact your strategy?