Tag: Mudrex

  • How to Use Consumer Insights for Designing Effective Targeted Diwali Campaigns: Examples and Actionable Strategies

    This article is contributed by Pranjal Agarwal, India Market Head, Mudrex.

    Diwali is one of the few festivals that is commonly celebrated across India. During this time of the year, people tend to buy new clothes, ornaments, cars/bikes, gadgets, gifts and many more including making new investments, signifying a prosperous year ahead. To capitalise on these age-old traditions, brands from across industries and segments come up with various campaigns targeting their audience to improve their brand image and value, thereby increasing sales. Let’s understand how various brands can use consumer insights to design the perfect campaigns for their target audience. 

    Website and App Analytics 

    Website or App Analytics is key. These analytics help brands in analysing user behaviour, revealing how users interact with their app/website. Key metrics such as demography, and engagement time and behaviour tell you so much about the user like what interests them, what they connect to, their cultural ideology and many more. A/B testing allows you to experiment with different versions of your website or app to determine which performs better in terms of user engagement and conversion. Using these metrics, brands can help create tailored campaigns and enhance their user experience making sure any campaigns for Diwali and any other occasion have the highest engagement rate. 

    Based on the sector your brand is in, you can use specific Diwali trends to drive traffic, sales or volumes. For example, making new investments is one of the biggest traditions in India. If you are a stock broker or any other exchange, waving off the transaction fees during the famous “Muhurat Trading” would be a well-fitted campaign for all your audience. Shopping is another major part of Diwali. To capitalise on this, e-commerce giants like Amazon and Flipkart announce sales in the name of “Amazon Great Indian Festival” and “Flipkart Big Billion Days” benefitting both users and brands equally. It is important to find that specific Diwali trend that your brand can capitalise on to improve sales, volumes or traffic. 

    Capturing the Emotional Aspect of Diwali

    Apart from increasing sales or driving volume, brands also create campaigns to build their brand value in the minds of their audience. Given that Diwali has a strong emotional aspect to it —- bringing families together. No amount of discounts, offers or cashbacks can come close to this feeling. Hence, brands building on Cultural insight with localised themes have an edge over others. 

    The Best Use of Customer Insights

    Listening to your customers is one of the best ways to connect and get more such customers. With feedback on what’s good about your product/service, what’s not good, and what more they want, the brand can understand the pulse of the consumers. Not just their feedback but their queries also give a sense of what they are looking for. These insights from your customers help you style your communications and talk to them in their language (be it millennials, GenZ or Boomers) to connect with them better. 

    Concluding Thoughts

    While there are 1000s of brands targeting millions of audiences in many creative ways, the key things that make a Diwali campaign successful is if our brand brought happiness to our consumers in some way or another. Making sure our customers get the best product/service they deserve should be the priority. It would be interesting to see what kind of campaigns we get for this Diwali. Given the increasing use of AI and other tech by brands, this Diwali will surely be a delightful one for both brands and customers. Wish you all a happy and safe Diwali. 


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  • How is AI Used to Predict the Crypto Market in the Investment Industry?

    This article is to be attributed to Edul Patel, CEO of Mudrex, a Global Crypto Investment Platform.

    In recent times, cryptocurrencies have seen massive growth and adoption with regulatory developments and giant companies investing in it. With this, the global crypto market capitalization also reached the peak at $2.5 trillion and Bitcoin setting a record of all-time high at $74,000 level. Market such as cryptocurrency which is operational 24/7 needs investors and traders to be on their toes to not miss a potential opportunity. This is where market participants are turning towards predictive analytics powered by Artificial Intelligence (AI) for data-driven decision-making.

    How can AI be leveraged to Predict the Market?

    • Analyzing the Data: AI can analyze large amounts of data at a greater speed when compared to humans. By using Machine Learning (ML) models, AI can identify any patterns or correlations, or anomalies within the crypto market which cannot be done by a human analyst. To help investors and traders make well-informed decisions, these models analyze data across platforms such as social media, news, trading volumes, and blockchain transactions.
    • Sentiment Analysis: As the crypto market is operational around the clock, understanding the sentiments of the market participants is important. Any sort of sentiment, be it positive or negative can impact the market movements. AI-powered sentiment analysis can help investors and traders an immediate pulse of the market to adjust their strategies and feel more in control.
    • Predictive Analytics: Through AI algorithms, market participants can identify patterns or trends using historical data to forecast or predict future price movements. These models can add and analyze many variables including historical price data, trading volumes, market capitalization, and macroeconomic indicators to generate probabilistic forecasts. Additionally, with backtesting and optimization, AI models can also learn and adapt according to evolving market conditions. This helps in reassuring investors about the reliability and accuracy of predictions over time.
    • Algorithmic Trading: Algorithmic trading depends upon AI-driven formulas to perform trades based on established standards or guidelines. These formulas can determine successful chances in the crypto market by examining real-time market information as well as carrying out trades at a greater speed. These tools can assist in getting rid of human feelings as well as predispositions from the trading procedure to take advantage of market inefficiencies and also produce regular returns.

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    What are the Challenges?

    Even though AI holds great promise, it also comes with its own challenges and limitations. One of the major challenges is the need for more high-quality data since the crypto market is highly volatile and still in its early stages. Since the market is volatile it can be susceptible to sudden shifts and black swan events posing some set of challenges. Additionally, it is also important to address the ethical considerations as AI is increasingly integrated into investment strategies. The use of AI-powered algorithms raises concerns about manipulation, especially in areas where crypto is still not regulated.

    Final Thoughts

    AI is changing the way investors and traders predict and navigate the crypto market landscape. By leveraging AI-driven analytics, market participants can gain valuable insights, manage risks, and capitalize on lucrative opportunities in the dynamic crypto market. However, it is also important to understand the challenges and ethical considerations before using AI for trade or investment-related decisions. AI can definitely help in providing insights, however, it is always suggested to do your own research and get into the market.


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