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How Big Data can Change Marketing

Ailsa Singh1278 15-Dec-2017

                                                  How Big Data can Change Marketing

Today's most successful companies and businesses depend on big data and analyse it to increase the quality of their customer experience. The information stored in the cloud, bookmarked URLs and new data streaming in every second from all over the world accumulate into what is referred to as big data.

Business intelligence relies entirely on the analysis and interpretation of big data. Although there is always a lot of data at a company's disposal, it takes a special tool to analyze and manipulate it for the company's advantage. Stiff competition in marketing has triggered companies in acquiring the best tools for big data analysis. This is a clear indication that big data analytics plays a great role in marketing.

The roles of big data in marketing include the following:

1. Providing Better Customer Insights

Analysis of big data reveals what consumers prefer at the moment. If the majority of people on a social platform are discussing a certain product, that is the perfect moment and place to pop up the product's Ad. This increases the accuracy of your list of target customers.

2. Personalization

Big data analysis results show your consumer's purchase patterns. As an outgoing marketer, you can take advantage and send them recommendations of products they like and always opt for. Building personalised communication with consumers is an effective tactic of customer retention. Foremost, you can bet that this will most likely be a sure sale!

3. Understanding the Market Trends

Through stream processing, it is possible to track the market trend from all perspectives; the past, the present, and the future. By deriving the real-time information from big data, it is possible to get the current market standards and adjust your strategies to meet them.

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4. Optimizing Pricing

Making price decisions is overwhelming considering the constant change of prices in the market by the minute. Evaluating big data will reveal the patterns for pricing from a customer-product perspective – based on their willingness to pay. This is the best pricing technique in comparison with basing your prices on the cost of production, the price of a similar product, or standard margins.

5. Improve Performance of the Company

It is possible to track the performance of your business by retrieving its information from big data. This way, you realise how popular and trusted your products and services have become and then respond accordingly.

6. Minimize Risks

With massive amounts of data, you can research your competitors and consumers. The research will give you an in-depth insight about any business risks and be able to come up with the safest and most competitive decisions. Identifying risks is the only way to keep losses away.

7. Monitoring the Online Performance of Brands

Organizations which are active on social media can actively monitor or make their online reputation better by using big data analytics. The data shows activities such as views of the brand on the website. With such information, businesses can adjust their marketing strategies to make their social media performance better.

8. Optimizing Business Processes

A better understanding of business processes through big data analytics helps in maximising every selling opportunity. With your product's conversion rate increasing, you can decide to attach minor products to it for maximum profits. This can be done by studying the behaviour of your target consumers by collecting related information of big data.

The value of big data is determined by its volume, variety, velocity and veracity. The accuracy of the results depends on how it is interpreted, utilised and most importantly, how it is applied. Big data contain all the information you need to succeed in your marketing strategies and increase your conversion rates. All you need to do is use the right resources for collecting, analysing, interpreting, and putting it into action.

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Updated 07-Sep-2019

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