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Why Digital Transformation is Crucial for Efficient Marketing

Erna Clayton

Erna Clayton

Why Digital Transformation is Crucial for Efficient Marketing

Digital transformation has enabled enterprises to achieve incredible results. Enterprises all over the world are constantly working to achieve end-to-end digital transformation that offers value through enhanced efficiency, increased customer engagement and better organizational workflow. It has become crucial for businesses to adopt and adapt to digital not just to stay competitive but to survive.

What Does Digital Transformation Involve?

An efficient digital transformation involves the seamless integration of technologies into every aspect of the business. It accelerates the fundamental shift in business operations and delivery to maximize efficiency and increase customer engagement.

Digital transformation enables technology to check every touchpoint that is related to the business. It is implemented to enhance the following elements of a business:

  • Culture and leadership
  • Customer experience
  • Workforce enablement
  • Operational agility
  • Digital technology integration

Digital transformation has also transformed the strategy to leverage digital media more efficiently for business. Corporations are now more careful, precise, and innovative in digital marketing initiatives to optimize campaigns and derive better value on investment.

There are a few essential benefits that digital transformation has brought to the table:

Data Analytics

Digital transformation has enabled businesses to collect data from every touchpoint. Analytics tools are then used to make sense of heaps of data. Businesses can closely integrate social media and their digital assets or vice-versa to gain actionable insights about customers and their products or services.

Data analytics has emerged as a key component of digital transformation. Organizations are leveraging sophisticated big data analytics tools that churn out easy to understand data reports to make data-driven decisions.

Some of the most used types of analytics that organizations are leveraging to become data-driven are:

Social Media Sentiment Analytics

Sentiment analysis or opinion mining is the process of identifying emotions and sentiments from a piece of text. Organizations leverage sentiment analytics to gauge user reactions and feedback about their products and services on different social media channels.

Descriptive Analytics

This type of analytics involves elementary reporting and business intelligence taken out from usual data. It is normally conducted by a majority of businesses to monitor performance and sales.

Prescriptive Analytics

It is leveraged to provide suggestions for enhancing business strategy, enhance efficiency and improve customer engagement. Prescriptive analytics factor in historical data to find out gaps, inefficiencies, and strategies that are not working and provide suggestions based on these findings.

Predictive Analytics

It leverages recommendation engines to analyze big data insights and give predictions that could happen in the near or foreseeable future. Predictive analytics can help businesses to act proactively.

Businesses are leveraging data analytics to calibrate and optimize social media campaigns. It is also helping them to anticipate user needs and plan their future digital marketing initiatives accordingly.

Personalized Services

If you have a business that sells only black jeans then you would want to find people who are interested in buying black. An organization that leverages digital technology efficiently keeps a close eye on customer preferences and choices.

A video streaming service can also target users based on demographics. For instance, Netflix targets young users who are tech-savvy and consumers of new-age content. It tracks the category of video content you watch and recommends suggestions based on your watch history. Businesses are continuously leveraging software test automation to test new features for greater engagement.

A property brokerage firm can churn out data from social media and website visitors of people who are in their mid-thirties and appear to be financially established enough to invest in a property.

AI engines continuously sift through heaps of data generated by users on the website to find out which user was on which stage of shopping a product. For instance, if a user closed the website after adding the product in the cart, the re-marketing engine can show ads on the user’s social media channels to remind him/ her of the pending transaction.

All these solutions have enabled businesses to deliver more personalized services and personalized suggestions that the customer is more likely to buy.

Enhanced Sales

Buyers are using social media to reach the most prudent purchase decision. This is why closely integrated businesses are leveraging social media to generate sales and discover new revenue streams. Enterprises are actively using social media platforms including LinkedIn for content marketing. Digital marketing experts closely monitor the traffic generated through social channels to roll out customized campaigns for that particular set of users to maximize sales.

The predictive analytics engine can give notifications to sales teams about which leads are ready to ripe on social media. It is a potent solution to enhance user engagement and drive sales. Businesses can leverage social media data to find out the level of customer satisfaction and based on that roll out services and sales offers.

Customer Support

Social media has emerged as a great tool for businesses to deliver instant support efficiently. The close integration of businesses with social media can help deliver delightful customer support that is cost-efficient and user-friendly.

Businesses can leverage several live chat software that can be easily integrated with different social media channels including Facebook and Instagram. This enables organizations to have omnichannel customer support.  Several organizations have also integrated WhatsApp into their business communication strategy to reduce turnaround time for replies. Users can simply send a text to enterprises and wait for a response; that comes instantly in the majority of times.

Businesses are also leveraging AI chatbots to interact with customers in real-time more efficiently. Businesses deploy Robotic Process Automation (RPA) to make chatbots answer queries, resolve problems and schedule calls with experts if required. For instance, if the customer has an issue with a product while making the purchase they can interact efficiently with AI chatbots for a swift resolution of query and proceed with the purchase. This way, AI chatbots drive sales and enhance revenue generation.

In today’s technologically advanced world, it has become essential for businesses to embrace digital transformation faster than expected. Sales to customer support; tech-savvy users want everything instantly and that is only possible through seamless implementation of digital transformation. With social media playing a vital role in today’s business environment, it becomes even more crucial to have close integration with all relevant social channels.

The majority of new businesses and startups have embraced digital transformation to maximize revenue generation through efficiency, customer satisfaction, well-calibrated social media campaigns, and engagement. Hence, enterprises need to expedite digital transformation initiatives to become more receptive towards their customers who are on social media, design business strategies that are more customer-centric and run social media campaigns that bring more return on investment.

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About the Author

Erna Clayton is a writer by passion who loves writing pieces on several topics including science, technology, social media. However, her specific focus stays in automation and software technologies. In her free time she loves reading novels and traveling.

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