Entrepreneur's Delight
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Understanding Big Data-Driven Marketing and Its Application
Nowadays, businesses have no excuse for not meeting their customers' needs in the best way. With the many tools to collect data from different points, companies can capture so much data to enhance their businesses. For example, they can use it in tailoring communications and the provision of personalized goods and services.
Big data defined
Big data refers to large volumes of data that find their way daily into business and keep growing exponentially over time. The use to which the company puts the data is the most vital thing, but not the size or amount of data. Some significant data sources include social media platforms and stock exchanges.
A look at big data-driven marketing approach
With this marketing approach, businesses leverage customer information to develop more effective sales and marketing campaigns. The companies gather data through various sources like social media sites and loyalty programs and then do an advanced analysis of the data. Using the insights from the analysis, they customize their marketing efforts to suit specific customers and then target the right people with those campaigns. The approach optimizes the returns on investments and is vital for the long-term success of the business.
Benefits of big data-driven marketing approach
This approach is often used to enhance and tailor the customer experience, resulting in happy customers and boosting sales and profits. Below are some of the benefits that companies get from using a big data-driven marketing strategy:
Enhance product development
When businesses use big data analysis in their marketing efforts, they can understand their target market deeply. They get to know what products the customers are using, which ones they are not using, and even the commodities they would like and which ones they do not like. Using such information, companies can capitalize on the features and the services the customers look for and need and identify the areas with the highest potential. Moreover, the business can develop products and services that align with the customers' demands.
Enable personalization of marketing campaigns
With big data and innovative analytic tools, marketers can create highly targeted marketing campaigns and employ personalized communications. Among the things that marketers get a good grasp of is the marketing message to send and the best time to do so. Due to the correct timing and accuracy of the communication, there are higher chances of optimizing the audience's emotions and boosting positive response and engagement. The use of content that resonates with customers also encourages more customer engagement and increases brand loyalty.
Help to determine future trends
The most significant benefit of a big data-driven marketing approach is accumulating tons of information that you can utilize to decide on actionable insights about existing and prospective customers. From the analysis of big data, the business can point at some patterns and pick out trends before they explode. The companies can then rely on those powerful insights to anticipate the turn of events in the market and prepare how they can adjust their strategies appropriately using their expertise and experience.
Help to concentrate on loyal customers
While the business would like to win new clients, retaining the existing ones is easier and more rewarding since they are already in love with the brand. And since the resources may also be limited, starting with the most loyal customers makes more sense because they will help set the benchmark for a more successful approach.
Using the data from POS, loyalty programs, and other channels, you can identify the loyal and high-value customers and appreciate them or offer them some special terms, even if for a limited time. Big data use in marketing and the overall business operations is the best approach and guarantees great rewards and business success. Fortunately, working with data-driven marketing experts can make things easier and bring better returns on the investment.
Big data defined
Big data refers to large volumes of data that find their way daily into business and keep growing exponentially over time. The use to which the company puts the data is the most vital thing, but not the size or amount of data. Some significant data sources include social media platforms and stock exchanges.
A look at big data-driven marketing approach
With this marketing approach, businesses leverage customer information to develop more effective sales and marketing campaigns. The companies gather data through various sources like social media sites and loyalty programs and then do an advanced analysis of the data. Using the insights from the analysis, they customize their marketing efforts to suit specific customers and then target the right people with those campaigns. The approach optimizes the returns on investments and is vital for the long-term success of the business.
Benefits of big data-driven marketing approach
This approach is often used to enhance and tailor the customer experience, resulting in happy customers and boosting sales and profits. Below are some of the benefits that companies get from using a big data-driven marketing strategy:
Enhance product development
When businesses use big data analysis in their marketing efforts, they can understand their target market deeply. They get to know what products the customers are using, which ones they are not using, and even the commodities they would like and which ones they do not like. Using such information, companies can capitalize on the features and the services the customers look for and need and identify the areas with the highest potential. Moreover, the business can develop products and services that align with the customers' demands.
Enable personalization of marketing campaigns
With big data and innovative analytic tools, marketers can create highly targeted marketing campaigns and employ personalized communications. Among the things that marketers get a good grasp of is the marketing message to send and the best time to do so. Due to the correct timing and accuracy of the communication, there are higher chances of optimizing the audience's emotions and boosting positive response and engagement. The use of content that resonates with customers also encourages more customer engagement and increases brand loyalty.
Help to determine future trends
The most significant benefit of a big data-driven marketing approach is accumulating tons of information that you can utilize to decide on actionable insights about existing and prospective customers. From the analysis of big data, the business can point at some patterns and pick out trends before they explode. The companies can then rely on those powerful insights to anticipate the turn of events in the market and prepare how they can adjust their strategies appropriately using their expertise and experience.
Help to concentrate on loyal customers
While the business would like to win new clients, retaining the existing ones is easier and more rewarding since they are already in love with the brand. And since the resources may also be limited, starting with the most loyal customers makes more sense because they will help set the benchmark for a more successful approach.
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Moreover, going after too many leads could slow down the efforts and even pose a risk of losing both the new and old clients. Although loyal customers are likely to stick with the business for a long time, neglecting them can drive them away. So, an appreciation message and other thoughtful deeds could make them feel special and appreciated, making them want to stick with your business. Using the data from POS, loyalty programs, and other channels, you can identify the loyal and high-value customers and appreciate them or offer them some special terms, even if for a limited time. Big data use in marketing and the overall business operations is the best approach and guarantees great rewards and business success. Fortunately, working with data-driven marketing experts can make things easier and bring better returns on the investment.
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Any facts, figures or references stated here are made by the author & don't reflect the endorsement of iU at all times unless otherwise drafted by official staff at iU. This article was first published here on 18th November 2020.