Milieu Insight's Canvas continues to add to its repertoire of industry-first innovations, including a new visual survey builder, panel and data integration features, and direct communication channels. Talking about these enhancements, Gerald Ang, founder and CEO of Milieu Insight, said, “As generative AI technology advances, we are dedicated to automating the time-consuming and often tedious aspects of market research. Users can anticipate the launch of ‘Flash,’ an AI survey assistant ready to support in survey design.” “Flash will be fully integrated into our visual editor, providing assistance throughout the entire survey design process as needed. Whether users require initial survey question suggestions or assistance with designing specific questions and answer options, Flash will be on-demand, 24/7,” he added. #platforms #consumerdata #artificialintelligence ------ -[Awards] MARKETECH APAC is launching its inaugural "Marketing Technology Awards" where we recognise the groundbreaking achievements in marketing technology, uniting the brands and tech organisations within the region’s marketing community. Learn how your brand can be a part of it by checking it more details HERE: https://bit.ly/3SVtoIa -[Industry Series] We have launched our latest industry initiative "E-commerce Marketing Series" where we aim to equip businesses with the latest strategies and insights to navigate the dynamic world of e-commerce, as well as discuss cutting-edge concepts, trends, and case studies shaping the future of online commerce. Learn how you can be part of this industry discussion by checking out more details here: https://bit.ly/4aiMEX4 -[Report] Discover the latest trends in business communication, and explore how mobile messaging channels are preferred by consumers to seek deeper connections with brands by checking out this report HERE: https://bit.ly/3RckF4z
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Clustering for Personalization: Tailoring Experiences in the Digital Age Exciting news! 📢📢 Get ready to take your personalization game to the next level in the digital age with our latest blog post on Clustering for Personalization: Tailoring Experiences in the Digital Age. 🌟🌟 In this article, we dive deep into the concept of clustering and its significance in understanding user preferences and behaviors. Discover how clustering enables businesses to provide personalized experiences, improve recommendations, and enhance overall user satisfaction. 🚀🚀 Learn about keyword clustering and its benefits in optimizing search results, improving content recommendations, and enhancing user experiences. See how efficient content organization and targeted marketing campaigns are made possible with clustering techniques. 💡💡 While clustering offers immense benefits, we also explore the challenges and limitations to consider, such as data quality, scalability, interpretability, and the dynamic nature of data. Stay ahead of the game by understanding and addressing these factors. ⚡⚡ Don't miss out on this insightful read! Click the link below to access the full blog post. 👇👇 [Clustering for Personalization: Tailoring Experiences in the Digital Age](https://ift.tt/G2wWKC6) #personalization #clustering #userexperiences #digitalage #contentrecommendations #datamanagement https://ift.tt/G2wWKC6
Clustering for Personalization: Tailoring Experiences in the Digital Age Exciting news! 📢📢 Get ready to take your personalization game to the next level in the digital age with our latest blog post on Clustering for Personalization: Tailoring Experiences in the Digital Age. 🌟🌟 In this article, we dive deep into the concept of clustering and its significance in understanding user preferen...
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The Canvas platform also comes with a full suite of features to clean, manage and analyse data. Its #email and database cleaning capabilities ensure that surveys are sent only to valid email addresses, thereby improving completion rates, and its one-of-a-kind significance testing tool turns data into meaningful insights with just a click. Gerald Ang, Founder and CEO of Milieu Insight, said, “As #genAI technology advances, we are dedicated to automating the time-consuming and often tedious aspects of market research. Users can anticipate the launch of ‘Flash,’ an AI survey assistant ready to support survey design.” https://lnkd.in/dJH_yWeZ
Milieu Insight Enhances Survey And Market Research Platform Canvas
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Data Enthusiast and Digital Marketer | Accelerating Learning & Productivity Through Digital Skills | Sharing Insights on AI, Tech Tools, and Online Business.
Informed decision making requires analysis of markets, trends and growth levers. But this research can devour entire workweeks manually. Though most teams aren’t yet taking advantage of the powerful capabilities of these AI-powered business intelligence platforms. Here are essential tools to solve any market, competitor or product research need imaginable : 1. Prelaunch.com [https://www.prelaunch.com/]: Prelaunch surveys target demographics to validate product-market fit before you build. The risk reducer. 2. Kenshoo [https://kenshoo.com/]: Kenshoo prescribes proven search, social and ecommerce growth strategies based on role and business type. The digital advisor. 3. Crayon [https://crayon.co/]: Crayon tracks web and mobile analytics to guide engagement, conversion and retention optimization decisions. The product growth platform. 4. Aylien [https://aylien.com/]: Aylien analyzes earnings calls, news, executive changes and more to predict market shifts and opportunities. The intelligence tracker. #ai #aiforbusiness #aiformarketing #aiforcreativity #growthmarketing #chatbots #chatgpt #artificialintelligence #copywriting #generate #softwareengineering #earnmoneyonline #generatevideo #generateimage #digitalmarketing #seo #socialemediamarketing #socialmediaspecialist #dataanalyst #datascience
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Clustering for Personalization: Tailoring Experiences in the Digital Age Clustering for Personalization: Tailoring Experiences in the Digital Age Introduction: In the digital age, personalization has become a crucial aspect of enhancing user experiences across various platforms. With the vast amount of data available, it is essential to employ effective techniques to understand user preferences and tailor experiences accordingly. One such technique is clustering, which […] https://lnkd.in/d2W_fXYQ
Clustering for Personalization: Tailoring Experiences in the Digital Age
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Clustering for Personalization: Tailoring Experiences in the Digital Age Clustering for Personalization: Tailoring Experiences in the Digital Age Introduction: In the digital age, personalization has become a crucial aspect of enhancing user experiences across various platforms. With the vast amount of data available, it is essential to employ effective techniques to understand user preferences and tailor experiences accordingly. One such technique is clustering, which […] https://lnkd.in/dKEJC6kd
Clustering for Personalization: Tailoring Experiences in the Digital Age
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Clustering for Personalization: Enhancing User Experience through Data-driven Segmentation Exciting news! 🎉 Our latest blog post is all about using clustering for personalization to enhance user experience through data-driven segmentation! 🌟📊 In today's digital age, personalization is key in capturing and retaining users. Our blog post explores how clustering, specifically keyword clustering, can help us achieve this. 🚀 By grouping similar data points based on their characteristics or attributes, clustering allows us to discover patterns and create distinct groups or clusters. Keyword clustering, in particular, enables us to group similar keywords together based on their semantic or contextual similarities. 🗂️🔍 So, what are the benefits of clustering for personalization? 🤔 1️⃣ Improved Recommendation Systems: With clustering, we can make more accurate and effective personalized recommendations based on the preferences of similar users within the same cluster. This ensures users receive relevant and targeted content. 📚 2️⃣ Enhanced User Engagement: Personalized experiences have been shown to increase user engagement and satisfaction. By clustering users and providing personalized recommendations, we can encourage them to spend more time on our platform, interact with our content, and make repeat visits. 📱💻 3️⃣ Increased Conversion Rates: Personalized recommendations based on clustering can significantly improve conversion rates. By presenting users with products or content that align with their interests and preferences, we can increase the likelihood of them making a purchase or taking a desired action. 💼💡 4️⃣ Reduced Information Overload: Clustering helps organize and present information in a more structured and personalized manner, reducing information overload for users. By clustering keywords and providing personalized recommendations, we can offer a more manageable and relevant set of options. 📊👥 But that's not all! Our blog post also delves into challenges and considerations, such as data privacy, scalability, interpretability, and the dynamic nature of data. By addressing these properly, we can effectively implement clustering for personalization and revolutionize the way we deliver personalized experiences. ⚙️✨ Ready to find out more? Check out our blog post on "Clustering for Personalization: Enhancing User Experience through Data-driven Segmentation" now! 📝🔗 Link: [Clustering for Personalization: Enhancing User Experience through Data-driven Segmentation](https://ift.tt/95zq7ge) #blogpost #personalization #clustering #userexperience #dataanalysis #datasegmentation #digitalmarketing https://ift.tt/95zq7ge
Clustering for Personalization: Enhancing User Experience through Data-driven Segmentation Exciting news! 🎉 Our latest blog post is all about using clustering for personalization to enhance user experience through data-driven segmentation! 🌟📊 In today's digital age, personalization is key in capturing and retaining users. Our blog post explores how clustering, specifically keyword cluster...
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Leveraging AI for Hyper-Personalization Hyper-personalization through AI: The Key to Unlocking Customer Loyalty In today's competitive marketplace, generic marketing strategies no longer cut it. Consumers crave tailored experiences that resonate with their unique preferences and needs. This is where artificial intelligence (AI) comes in as a game-changer. By harnessing the power of AI, businesses can gather and analyze vast amounts of customer data to deliver highly personalized products, services, and marketing messages. How AI Drives Hyper-Personalization: 1. Customer Segmentation: AI algorithms can identify distinct customer segments based on demographics, behavior, and preferences, enabling targeted marketing campaigns. 2. Predictive Analytics: AI can predict customer needs and preferences by analyzing past behavior and trends, allowing businesses to offer proactive recommendations. 3. Real-time Personalization: AI-powered platforms can adapt real-time content and offers based on individual customer interactions, creating dynamic and engaging experiences. Benefits of Hyper-Personalization: 1. Increased Customer Satisfaction: By delivering tailored experiences, businesses can exceed customer expectations and foster loyalty. 2. Improved Conversion Rates: Personalized recommendations and offers can drive higher sales and customer engagement. 3. Deeper Customer Insights: AI-powered analytics provide valuable insights into customer behavior, enabling businesses to refine their strategies. Implementing Hyper-Personalization: 1. Data Collection and Management: Gather relevant customer data while ensuring privacy and security. 2. AI Integration: Choose AI tools and platforms that align with your business goals and integrate them seamlessly into your systems. 3. Continuous Optimization: Regularly analyze performance metrics and refine your personalization strategies based on customer feedback. By embracing AI-driven hyper-personalization, businesses can create deeper connections with their customers, drive growth, and gain a competitive edge. Visit us at: https://lnkd.in/gvQyDaAE Email: [email protected]
The Future of Business is Data-Driven | Suitestat Analytica Consultancy
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Expanding on my third takeaway from Google's algorithm leak & where I see SEO going from here. 3️⃣ "Interview them. Survey them. Talk to your customer service team" One of the most effective ways to glean audience insights is by directly interacting with them. Novel idea, amiright? 🗣️ Schedule interviews: Start with your most loyal customers to dive deep into their needs, preferences, and pain points. Ask open-ended questions to encourage detailed responses. 💡 PRO TIP: work with your research team in writing these questions using their best practice techniques to avoid bias 👁️🗨️ Focus on their experiences: Learn about their journey with your product or service. What do they love? What challenges do they face? Use this feedback to tailor your offerings and content. 📋 Survey Them: Create surveys that cover various aspects of your business. Include questions about user satisfaction, product features, and content preferences. Utilize different formats: Use a mix of multiple-choice questions, Likert scales, and open-ended responses to gather both quantitative and qualitative data. Analyze this data to identify trends and common themes. 🗨 Talk to Your Customer Service Team: Leverage the goldmine of insights they probably already have because they interact with your audience daily. They have firsthand knowledge of common questions, concerns, and feedback. If this data exists in digital form, AI can be a wonderful tool for aggregating insights & identifying themes, trends, and behavior shifts over time. Most importantly, schedule recurring syncs! 🚀 By combining qualitative insights with your SEO quant data, you create a powerful strategy that will resonate with your audience. Remember, focusing on the end user isn’t just good practice—it’s essential for sustainable SEO success. #seo #googleleak #customerinsights #focusontheuser #keepcalmandoptimizeon
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Qualitative data is often mischaracterised as too subjective and difficult to collect, while quantitative data is upheld as concrete and meaningful. However, qualitative metrics have a huge role to play in the current era of big data and artificial intelligence. The uniquely insightful information delivered by these metrics can enable better user experiences, improve understanding of sentiments and brand perception, and help leverage winning insights. Don’t limit your company’s capabilities by ignoring qualitative data — there’s much to be gained from what it has to offer. #bigdata #business #growth
Council Post: How Marketers Are Using Qualitative Data In The Age Of Big Data And AI
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New Post: Survey: Shoppers open to using AI search to discover products - https://lnkd.in/gwR_ME68 - Search engines that incorporate AI-generated results have the potential to make it easier for people to discover products and services, according to a new survey from Botify, shared exclusively with Search Engine Land. Why we care. Search marketers tend to look at search much differently than everyday Google Search users. So it’s interesting to see what consumers know and think about AI-powered search. The data is a good reminder that user behavior is always slow to change, so don’t expect a quick transition from Classic Search to AI Search. By the numbers. Some interesting findings from Botify’s survey: 44% of respondents were familiar with generative search – 58% of Millennials and 58% of Gen Z were most familiar; 74% of Baby Boomers were unfamiliar with it. 37% of respondents tried an AI-driven search engine and found the results more satisfying. 34% said the way they search on AI Search hasn’t changed; 28% said they make “more detailed” search queries; 9% said they write longer prompts. 56% of respondents, when asked to choose between two results pages for the same query, preferred AI-generated results over traditional search results. Online shopping. Forty-one percent of respondents said the top reason for using AI search was for online shopping. Other top reasons to use it were for keeping up with the latest news (19%) and seeking health-related information (12%). Meanwhile, a majority of respondents (55%) said “Yes,” they believe search engines that incorporate AI-generated results have the potential to make it easier for people to discover products and services. Faster answers. While 36% of respondents haven’t used AI search, 25% of consumers have – and mainly to test out the new technology. Meanwhile, 17% said their top reason for using AI-powered search was because the chatbot-style results helped them find answers faster. About the survey. The data was collected by Dynata, an independent market research company, on behalf of Botify. The survey of 1,000 US respondents, aged 18+, was conducted in February. - #news #business #world -------------------------------------------------- Download: Stupid Simple CMS - https://lnkd.in/g4y9XFgR -------------------------------------------------- or download at SourceForge - https://lnkd.in/gNqB7dnp
Survey: Shoppers open to using AI search to discover products
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