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Author
The author is the Global Head of Marketing Demand Centre of Tata Consulting Services, Amit leads MarTech strategy and operations to support the business and marketing objectives. For over 21 years, Amit Tiwari has proved a key thought leader in the MarTech space. He understands and adapts technology faster and is also keen on experimenting and exploring new technology and new ventures in marketing.
Predictive analytics is becoming a prominent issue in the analytics environment as marketers increasingly recognise that it allows them to decrease risks, make informed decisions, and offer distinct consumer experiences. When correctly implemented, the business benefits can be significant. However, there are several strategic risks to consider
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Predictive analytics is becoming a prominent issue in the analytics environment as marketers increasingly recognise that it allows them to decrease risks, make informed decisions, and offer distinct consumer experiences. When correctly implemented, the business benefits can be significant. However, there are several strategic risks to consider
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Historically, social monitoring, performance marketing, and other data-driven tools have helped marketers make quicker and more educated decisions. Brand marketing, despite receiving 40-60 per cent of marketing budgets, is still largely guided by gut feelings and best guesses. The paradigm is being challenged by brand tracking, which provides brand marketers with accurate, timely, and cost-effective data on brand marketing. Now more than ever, it is crucial for marketers to keep tabs on their brands
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These platforms are ideal for automating simpler coding tasks, enabling marketers to create, modify, and personalise their applications without a deep understanding of computer programming. They allow marketers to take control of their technological needs and innovate more rapidly. Read on to find out why low-code and no-code platforms have risen to the top of the Marketing Technology toolkit
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Keeping up with the competition in the modern business world requires coming up with novel ways to keep clients interested and build loyalty. Targeting customer lifetime value (CLV) can help marketers spot ways to give back to their clients in a meaningful way. By doing so, businesses can establish long-term, reliable ways to thrive
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In recent years, data accumulation has increased at an astounding rate, with reports indicating that the quantity of data is increasing by 2.5 exabytes per day, or 40% per year at current rates. How can businesses leverage it, and how does this rate of growth translate into enhanced marketing performance and value?
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While keeping up with the latest strategies, tools, and trends is essential to remaining competitive, it's equally necessary to slow down and take stock to ensure that your endeavours are as productive as possible. A marketing audit is essential if you wish to grow your business and build a strong brand image
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Artificial intelligence in marketing is a subject that is dominating the industry right now. With all the current applications in marketing automation and predictive analytics, where is this profound shift in technology taking us next?
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Big Data and cutting-edge automation technologies are being used by astute marketers to power their marketing strategies, segment their audience, and personalise their digital marketing campaigns at scale. To capitalise on automation and generate the best ROI for your marketing efforts, what are some of the steps you should take to develop a data-driven marketing automation plan for your company?
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AI today is enabling businesses to build and execute more human-like, innovative marketing tactics that may delight customers and win them over as staunch brand champions. This raises the question of whether marketers are prepared to modify their marketing strategies to keep up with AI technology as it develops and advances
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