Tag: big data

Weekend Digital Media Round-Up: The Rise of AI Artisans: How Artificial Intelligence is Reshaping the Creative Landscape, With Businesses Experiencing A ‘Major Shift,’ It’s All Hands On Deck For CX, AI Integration Gives CRM Users a Real-Time Advantage & More….

1. The Rise of AI Artisans: How Artificial Intelligence is Reshaping the Creative Landscape

Artificial intelligence is revolutionizing the creative industry by generating impressive artwork and orchestrating symphonies. This transformation is reshaping how we perceive and engage with creativity, blending human ingenuity with AI capabilities. [Source: Fractional Flow]

2. With Businesses Experiencing A ‘Major Shift,’ It’s All Hands On Deck For CX

Businesses in 2025 must integrate customer experience (CX) across all departments to stay competitive. A recent study highlights that 96% of leaders now view CX as crucial for business success, emphasizing the need for unified communication and shared responsibility across various functions. [Source: Forbes]

3. AI Integration Gives CRM Users a Real-Time Advantage

CRM and CX vendors are integrating generative AI into their platforms to enhance productivity and streamline workflows. This technology helps businesses manage large amounts of data and provides actionable insights, making CRM systems more efficient and user-friendly. [Source: CRM Buyer]

4. The different levels of a CX strategy and how to level up

Customer experience (CX) is becoming a crucial competitive factor, with most organizations still in the early stages of CX maturity. Key initiatives to enhance CX include developing detailed customer personas, creating comprehensive customer journey maps, and implementing robust Voice of the Customer programs. [Source: BI Kring ]

5. The Importance of UI/UX Design in Digital Products

UI/UX design is crucial for digital products, ensuring they are both visually appealing and user-friendly. Understanding user behavior and creating intuitive, accessible designs can significantly enhance user loyalty and conversion rates. [Source: reklam5 ]

6. Ethical AI in eCommerce: Balancing Personalization and Consumer Trust

AI has revolutionized eCommerce by enabling hyper-personalized shopping experiences, but it raises ethical concerns around privacy, bias, and transparency. Siddharth Gupta emphasizes the need for responsible AI implementation to balance personalization with consumer trust and autonomy. [Source: Tech Bullion]

7. How to Automate UI/UX Design AI Workflows Without Sacrificing Quality

AI tools like ChatGPT, UX Pilot, and Lovable are revolutionizing UI/UX design by automating tasks, streamlining workflows, and ensuring consistency. These tools help create cohesive design systems, generate high-fidelity prototypes quickly, and improve documentation and collaboration, ultimately boosting efficiency and scalability. [Source: Geeky Gadgets]

8. How To Assess The ROI Of Your Digital Marketing Strategy

Setting clear, measurable goals and using the right attribution models are crucial for assessing the ROI of digital marketing strategies. Proper tool integration and continuous optimization are also essential to drive business growth. [Source: Forbes]

9. How Big Data and AI are shaping the future of personalized sales

Big data and AI are revolutionizing sales by enabling hyper-personalization and predictive selling. Businesses leveraging these technologies can anticipate customer needs, optimize interactions, and boost conversions, staying ahead of the competition. [Source: Bitrix 24]

10. Hyper-personalisation: Reshaping retail with customer-centric experiences

Hyper-personalisation is transforming retail by creating deeply tailored experiences that resonate with individual consumers. By leveraging data to understand preferences and behaviors, brands can offer unique and relevant shopping experiences both online and offline. This approach not only meets modern consumer expectations but also builds stronger emotional connections and loyalty. [Source: India Retailling]

Blending AI with Creativity: A New-Age Approach by Langoor

Our group company, Langoor, is exploring new frontiers in creative storytelling by integrating AI into the production process. From concept to execution, the team has delivered AI-led films, websites, and campaigns that combine human creativity with intelligent automation. The result is high-quality, visually rich content built through a layered, efficient workflow.

Here is a recent example of the work done for a fashion brand across UAE and India: Watch the film

We’re continuously exploring new ways to merge technology with storytelling across the LS Digital ecosystem.

April 18, 2025
How to Put Your Data into Action?
In a data-driven society, data plays a crucial role in digital transformation. We dwell in a multi-device world where data acts as the most important asset for countless marketers. It goes without saying that organizations that count on data to stimulate decision-making, drive superior growth compared to those that do not. In this post, we will discuss how you can make your brand more data-driven for enhancing customer experience and driving competitive advantage.
1. Build up Data and Integrate:
With countless pieces of data hovering around us, it becomes a challenging task for companies to swim in the oceans of data. A lot of data is generated on a daily basis from countless sources such as— screens, channels, mobiles, touchpoints, etc., and the accumulated data is stored in different formats in different places. Thus, the biggest challenge faced by even the high performing organizations is the challenge of integrating the accumulated data.

However, data-driven organizations have been successfully dealing with this difficult situation by streamlining the procedure of data collection and integration. By exploring advanced technologies that support your current platform, you too can systematise relevant data, thus transforming information into insights.
1. Discover Important Insights By Using Analytics Solutions and Machine Learning Technology:
The method of processing a humongous amount of data makes the procedure of extracting insights quite intimidating for analysts. Despite this, brands leave no stone unturned to discover those virtual bits and bytes of wisdom as it goes a long way in empowering their future business decisions. By leveraging machine learning and other sophisticated tools such as Google Analytics 360 Suite, you can easily discover useful insights for improving the impact of your marketing so as to drive business growth.

Analytics solutions can help businesses combine data sources and machine leaning for analysing the digital footprints or data traces created by their customers constantly. Moreover, analytics solutions help accumulate more valuable insights to enhance customer experience, and that too without any human interference. For example, Progressive, one of the oldest insurance players had initially unveiled its mobile app to help users only to obtain a quote. However, data generated by Google Analytics revealed that people were keener on purchasing insurance directly from the mobile app; thus, Progressive added in-app purchase option to its app to cater to the needs of its customers.

Machine learning technology can help organizations attain a higher level of efficiency by helping them concentrate on things that truly matter. Machine learning technology is a great way to keep your customers engaged and that is why more and more organizations are counting on this technology at present. Machine learning makes predictions based on the available data to understand customer behaviour so that you can take appropriate measures to satisfy your customers. Moreover, it also helps identify and prioritize issues so as to solve the issues automatically as fast as possible.
1. Turning Data Into Action For Better Customer Experience:
Data is insignificant unless it improves your business performance. By transforming data into insights, organizations can drive marketing performance besides differentiating themselves from their competitors. Thus, top practitioners emphasize on arranging, sharing, and gleaning key insights to derive real value from data.

You too can generate value from data by transforming data into action in a prompt and repeatable way. In order to generate outstanding results, businesses need to speak the language of ‘big data’ throughout the entire organization. Data specialists or analytics officers of an organization should collaborate with workers at every level to motivate them to connect with the required data. By identifying goals and setting Key Performance Indicators that helps drive growth, analytics officers can find out how data analysis can help them accomplish their goals. The data can then be used for determining how to touch base with the target audience at the right time with the right creative.

At the present time, the power of data is intensely transforming the business landscape worldwide. Thus, executives of every big and small company should emphasize on targeted efforts to creatively source data that addresses specific business problems. At the same time, it should be kept in mind that involvement of senior management is equally important as it is the key factor that assists in selling the value of analytics throughout an organization.
December 23, 2016
Mobile Marketing — The Way Ahead
The world is going mobile in a big way. In 2013, mobile devices outsold PCs nearly six times. While roughly 300 million desktop and notebook PCs were shipped worldwide last year, the total volume for mobile devices was 1.8 billion. More and more of these mobile devices will be smartphones with internet connectivity. Mobile marketing, therefore, is a key challenge for marketers and brands if they want to send their message across to their customers who are spending more and more of their waking hours looking at a mobile device screen.

What are the big mobile marketing trends for 2014?

Thomas Husson of Forrester Research makes these predictions for 2014:
- Big Data and Analytics will continue to grow in importance. Marketers who understand the behavior or their customers best will benefit from Big Data. Companies have to get better at understanding the context of user searches and other activities of consumers on their mobile devices. Marketers will have to tailor their mobile ads and product discounts and other offers accordingly.
- Mobile contextual data will even impact other marketing channels. Smart marketers will develop ways to interpret the data generated by how consumers use their mobile devices to gather better insights about the consumers’ needs and preferences. So, mobile marketing needs to be viewed in combination with other marketing channels.
- Mobile advertising will mature with the emergence of new mobile-centric ad formats. But user identification will continue to remain a challenge.
Additional mobile marketing trends include greater personalization of advertising. Grocery stores could analyze a regular customer’s purchase behavior via maintaining a tally of the items purchased using the lists generated during checkout. Advertising can then be tweaked to appeal to individual customers based on their purchase history; for example, their food choices such as organic food, or vegetarian food and so on.

Also, location-based mobile marketing will make mobile marketing relevant and useful for consumers. Think of a grocery store ad about discounts for the day being shown to a mobile user when the user is physically close to the store. Similarly, a pizza store could show an ad about their special offer for the day when the mobile user is in the vicinity during the hours of the day when the restaurant is open.

Advertisers will have to learn how to make use of shorter content such as those looping six-second Vine videos or Instagram videos. Mobile ads will continue to use gamification concepts where users accumulate points, badges, and so on. Apart from competing with friends, people also love good deals. Mobile marketers will offer unique and personalized deals that are redeemable from customers’ mobile phones.

For businesses for whom events (product launches, birthdays and other special occasions) are important, the mobile marketing strategy has to include an ability to target the right audience. Customers should be able to easily add the marketer’s event to their calendar. Loyalty programs offered through a mobile device are perfect since people have their mobiles with them all the time and there is no risk of losing their loyalty cards. Customer referral programs are ideal for the mobile platform since a customer’s contacts are already stored on the mobile device.

India has a burgeoning user base of mobile users. At last count, there are more than 600 million mobile users and more than 150 million internet users. As smartphone prices come down and breach the $100 mark, more youth will go for smartphones connected to the internet. This presents a golden opportunity for mobile marketing innovation.

With the growth of online retailers in India, there are thousands and tens of thousands of discount coupons available at any point of time across various retailers such as Amazon India, eBay India, Flipkart, MakeMyTrip, Yatra, Cleartrip, Jabong, Myntra, and others.

Sites like Couponraja aim to provide “visitors and members the latest coupon codes promotional codes from leading retailers/ merchants in India.” Couponraja has seen tremendous growth since its launch in October 2011 with an active customer base of hundreds of thousands and more than 350,000 subscribers on Facebook.

Compareraja is a similar site which helps users find the best online deals by comparing prices at different online retailers such as Home Shop 18, Amazon, Flipkart, eBay, Indiatimes, and so on.

LogicSpeak :

There will be more innovations such as Couponraja and Compareraja as the penetration of mobiles and smartphones increases in India. Mobile marketing will get smarter and mobile marketers will learn to better target their ads to the intended customer for a win-win situation for both the retailer and the customer.
March 18, 2014

► Necessary Cookies Always Active

Necessary cookies enable essential site features like secure log-ins and consent preference adjustments. They do not store personal data.

► Functional Cookies Remark

Functional cookies support features like content sharing on social media, collecting feedback, and enabling third-party tools.

► Analytical Cookies Remark

Analytical cookies track visitor interactions, providing insights on metrics like visitor count, bounce rate, and traffic sources.

► Advertisement Cookies Remark

Advertisement cookies deliver personalized ads based on your previous visits and analyze the effectiveness of ad campaigns.