How To Utilize Big Data and Social Media to Predict Customer Conversion


big data and social media

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Customer conversion is essential in any online marketing campaign with big data and social media both taking crucial roles in predicting your customer conversion rate. It is perhaps one of the most important data that you should monitor that is highly relevant in gauging how far your business is able to perform profitably from your internet marketing efforts. The customer conversion rate is a very important metric that calculates how many among your website visitors actually convert into sale by making online purchases from your site. Big data analytics and the social media are viewed as powerful sources of enhancing a business customer conversion rate.

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The valuable impact of social media data to customer conversion

 

big data and social media

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Big data is widely used by marketers as a means of acquiring business intelligence that can help optimize their digital marketing strategies. One of the channel sources of big data for internet marketers is the social media. The social data can bring more scalable information that helps businesses to respond more efficiently to their customers’ needs and to fully address the changing demands of the consumers. Coupled with analytics, social data can revealed the personal sentiments of your customers and track down feedbacks about your competitors’ products and services.

If you are asking yourself why leverage from the social media for better customer conversion process, social media marketing Atlanta emphasizes the value of the data that can be sourced out from the social interaction of the consumers in the social media community. According to social shopping statistics, about 65% of shoppers use the social media network when looking for a product or service. Social media users are very expressive about how they feel regarding a particular product and in communicating about their preferences. As part of your data mining and marketing analytics process, keeping note of these information will help you gather important sources of information for better lead conversions.

Social media and big data analytics

big data and social media

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Implementing a scalable social engagement process is important in order to predict customer conversion better. To efficiently implement a strong databank using social signals, these techniques will be very helpful in helping you start building up your big data structures using social media signals and big data analytics.

1.     Finding the appropriate social media channels where to source out your big data.

The first step towards progressively reinforcing your big data from the social media sources is to find the best social media networks where you can find consumers who are actively engaged in communicating their interest about looking for a particular product and service. Here are the top 3 highly recommended social media networks that are great for business:

  • Facebook is a social media channel that can bring strong social data for your business. Are you taking advantage of the Facebook business page in growing your business social media community? You can penetrate a lot of data from your social media followers by extracting their personal sentiments and review about your business which can give you better idea on how to engage them better and convert better. The number of shares about your web pages will also indicate which aspect of your business is well liked by your customer that can give you better leverage of converting them.
  • Twitter shares and likes are recognized by Searchmetrics as a very strong social signal that can help build your business ranking on the search along with the Facebook likes and shares. Keep track of the number of re-tweets and shares about your business page which will be helpful in identifying which of your products and web pages have the strong potential of attracting better lead conversion.
  • Foursquare has a significant impact to the local search results for businesses. If your business is focused on delivering local services, you can leverage the information that is obtainable from the platform using the generated comments and recommendations from your local business customers and followers.

2.     Filter data metrics and analyze

Start extracting big data from your business social media network by integrating your social media accounts and pages to an analytics tool. There are many analytics software that you can use that can help you filter valuable data and start analyzing your website performance on the search and in understanding your customer’s feedbacks, needs and buying behavior. The Google Analytics is a very powerful tool that can provide you a long list of measurable metrics. Among the important metric indicators to keep an eye include

  • social metrics
  • web page engagement to your customers
  • social attributes of your site
  • conversion rate
  • bounce rate
  • conversion value of your products
  • source of traffic
  • frequency of your customer visit
  • content and web design engagement
  • website ranking
  • search engine optimization metrics that make your website more searchable to your target customers.

Focus your data driven customer conversion strategy in delivering a better buying experience to your customers. The best thing about using data analytic tools is that all of your customer shopping behaviors are measurable. If you want to leverage over social data to improve your customer conversion, the important parameters that you should focus on should involve product reviews, comments, social shares, and recommendations of the social media users. You can obtain better customer conversion if you are able to address the feedbacks and reviews given by your customers from their social media accounts. Are they talking positively or negatively about your products? If so how can you use the information in improving your products and services? Which of your web page content and products come highly recommended and shared within the social media community? By filtering through your acquired big data and analyzing how they impact your business, you can focus on a more definite and targeted optimization strategy to predict customer conversion.

3.     Search engine optimization to increase customer conversion rate

 

big data and social media

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Keeping a load of big data using social media sources and interpreting them to help advance your optimization strategy can help you improve your customer conversion rate. By integrating social data to your SEO marketing campaign you can achieve in developing a more responsive website that can address the needs of your customers. Grow your business relevance to your social media followers by delivering them high quality content and solutions. Is your web page content informative enough to encourage your visiting potential customers to make a purchase? Your bounce rate data can tell you whether a website visitor stays longer enough to convert or not in your website.

Do you know which of your web pages are converting better? You can use the analytics data from your analytic tool to understand what attributes of a particular web page is engaging your social circle as avid followers. You might need to optimize your website design in order to deliver better navigation experience to your audience on poorly converting pages on your site. Social media users are usually expressive in complaining about websites with pages that load poorly during their visits. Keep an eye on these social feedback data to help you optimize your website and improve the customer conversion rate of your site.

Using big data and social signals can become an overwhelming task that is why Digital Warrior can help improve your customer conversion rate using these parameters. CALL US to get professional help from our team of experts to get the results that are within your marketing goals.

Get a free Big Data eBook here: http://www.digital-warriors.com/big-data-marketing-analytics/

 

 

 

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