Digital Strategy Master Class - Stuart La Brooy, Diageo Asia
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Marketing has never been more complex. As we face an increasingly sophisticated and demanding consumer, more media touchpoints, constantly evolving technology, faster content cycles and a veritable flood of Big Data, it is becoming increasingly apparent that we need to rethink our marketing approaches and processes at a fundamental level. Leveraging over a decade of experience driving marketing transformation across three separate industries, Stuart shares his insights and philosophy on the key disciplines, mindsets and processes that will help set you and your teams up for the chaotic world brands will face in the next ten years.
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In the 20 years since I founded Pragmatic Marketing, we’ve taught nearly 100,000 people about the importance of listening to the market. And when you’ve been listening to the market as long as we have, you get to hear a lot of interesting perspectives.
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Digital Marketing Trends - Experts Insights on How to Gain a Competitive Edge...DigiMarCon - Digital Marketing, Media and Advertising Conferences & Exhibitions
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How to Kickstart Content Marketing With A Small Team - Dennis ShiaoDigiMarCon - Digital Marketing, Media and Advertising Conferences & Exhibitions
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Marketing in the Age of AI - Shifting CX from Monologue to Dialogue - Susan W...DigiMarCon - Digital Marketing, Media and Advertising Conferences & Exhibitions
The advent of AI offers marketers unprecedented opportunities to craft personalized and engaging customer experiences, evolving customer engagements from one-sided conversations to interactive dialogues. By leveraging AI, companies can now engage in meaningful dialogues with customers, gaining deep insights into their preferences and delivering customized solutions.
Susan will present case studies illustrating AI's application in enhancing customer interactions across diverse sectors. She'll cover a range of AI tools, including chatbots, voice assistants, predictive analytics, and conversational marketing, demonstrating how these technologies can be woven into marketing strategies to foster personalized customer connections.
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Build marketing products across the customer journey to grow your business and build a relationship with your customer. For example you can build graders, calculators, quizzes, recommendations, chatbots or AR apps. Things like Hubspot's free marketing grader, Moz's site analyzer, VenturePact's mobile app cost calculator, new york times's dialect quiz, Ikea's AR app, L'Oreal's AR app and Nike's fitness apps. All of these examples are free tools that help drive engagement with your brand, build an audience and generate leads for your core business by adding value to a customer during a micro-moment.
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Competitive Analysis: Noise Smartwatch
Overview
Noise is an Indian electronics brand that primarily manufactures smartwatches, wireless earphones, and other electronic accessories. Noise smartwatches have gained significant popularity due to their affordable pricing, feature-rich offerings, and stylish designs. The competitive landscape for Noise smartwatches includes both local and international brands that cater to various market segments. This analysis will focus on key competitors, market positioning, product features, pricing strategies, and consumer preferences.
Key Competitors
Amazfit (Huami):
Strengths: Known for excellent battery life, robust fitness tracking, and premium build quality.
Weaknesses: Slightly higher price points compared to Noise.
Products: Amazfit Bip U, Amazfit GTS series.
Realme:
Strengths: Strong brand presence, integration with Realme smartphones, and aggressive pricing.
Weaknesses: Limited variety in smartwatch models.
Products: Realme Watch, Realme Watch S.
Boat:
Strengths: Competitive pricing, appealing designs, and extensive marketing.
Weaknesses: Relatively new to the smartwatch market, which may affect consumer trust.
Products: Boat Storm, Boat Flash.
Samsung:
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Weaknesses: Higher price points make it less accessible to budget-conscious consumers.
Products: Galaxy Watch Active 2, Galaxy Watch 3.
Xiaomi:
Strengths: Strong ecosystem integration, affordable pricing, and extensive features.
Weaknesses: Less focus on premium design compared to some competitors.
Products: Mi Band series, Mi Watch.
Market Positioning
Noise positions itself as an affordable yet feature-rich alternative in the smartwatch market. Its target demographic includes budget-conscious consumers and fitness enthusiasts who seek value for money without compromising on essential features like fitness tracking, notifications, and battery life. Noise leverages its strong online presence and partnerships with e-commerce platforms to reach its audience effectively.
Product Features Comparison
Noise Smartwatches:
Key Features: Heart rate monitoring, SpO2 tracking, multiple sports modes, customizable watch faces, notifications, and music control.
Battery Life: Typically lasts 7-10 days on a single charge.
Build Quality: Focus on lightweight and comfortable designs with water-resistant capabilities.
Amazfit Smartwatches:
Key Features: Advanced fitness tracking, GPS, AMOLED displays, and long battery life (up to 20 days).
Battery Life: 10-20 days depending on the model.
Build Quality: Premium materials and durable designs.
Realme Smartwatches:
Key Features: Basic fitness tracking, SpO2 monitoring, and notifications.
Battery Life: Up to 9 days.
Build Quality: Sleek designs but slightly limited in variety.
Boat Smartwatches:
Key Features: Heart rate monitoring, multiple sports modes, and customizable watch faces.
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Trend 2: Open Source AI
Overview of Open Source AI
Open-source AI involves freely available source code, encouraging developers to collaborate, use, adapt, and share AI technology. This openness fosters innovation and speeds up the development of practical AI solutions across various sectors, including healthcare, finance, and education.
Impact of Open Source AI
The collaborative nature of open-source AI promotes transparency and facilitates continuous improvement, leading to feature-rich, reliable, and modular solutions. These platforms enable the creation of applications such as real-time fraud detection, medical image analysis, personalized recommendations, and customized learning experiences.
Examples and Use Cases of Open Source AI
TensorFlow: An open-source machine learning framework by Google, widely used for building and deploying AI models.
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