Finding Customers on Social Media
Rohit Singh VP of Customer Engagement Schedule Free Consultation
  • Finding your potential customers on Social Media and connecting with them, presents challenges. Whenever you are staging a new product launch and want to do some testing with different marketing budgets, it is good for you to understand how your target audience will engage with the offers you are sharing. Data science can assist you with this. 

    Deploy algorithms that will assist you in identifying the popular topics in your niche on social media that is being discussed on social media and classify the ideas that are being expressed by your followers or friends.  Figure out which topic is popular on which social media platform, for example, is food a popular topic on Facebook, Pinterest or Twitter? When you have this information, you’ll know where to find your target audience. You can then classify the sentiments expressed in different conversations around your brand, and also look at what is being said about your competitor. 

    Customer Data from Social Media

    When important social media cues, trends, and signals are found, they need extensive analytics abilities. By applying data science to the most pressing problems you can control the incoming data flood and make it into a stream of insights that are distilled.

    Instagram users publish thousands of photos every day, over 4 million users watch videos on YouTube, over 473,000 tweets, some of those persons who visit these sites will be interested in your brand, and others won’t.

    Figure out what people care about when it comes to quality, packaging, who you should target and use cluster analysis to group users in specific communities. For instance, if your business provides cosmetic-care and well-being solutions you can look at – Unmarried young women, who are not working, interested in beauty hacks and affordable hair care products; Married women, with an above-average income, interested in the best supplements, salon treatments and hair care products.

    At this point, the advanced K-Means clustering algorithm helps you to establish closer proximity between the many groups. You’ll find out how frequently the persons you are targeting will visit certain websites e.g. Amazon, or other sites where products are sold and then will be able to match the experiences they have with added demographics data. You will eventually have a customer profile that gives many details, e.g. “30-year-old Facebook fan, who visits the platform twice per day and posts about #hairstyles #haircolor #hairproducts expressed negative opinions about Loreal, has neutral opinions Dove, about vitamins and posts about family, travel, beauty, and entertainment. You can now work with a customer profile that is properly done like that. Big companies are now using this approach when they are launching new products in the states.

    If you haven’t yet thought about it, it is something you as a business owner should certainly be thinking about now. Having a presence on Social Media, and making the most use of the data you receive from there is the way most companies today have grown multifold over the last few years.

    You might now be thinking, “Oh, this is too technical for me!” or “Hey, this doesn’t seem like my cup of tea!” and that’s perfectly fine. That’s where we step in, our Data Science team has a combined experience of a few decades with us being pioneers in the Engagement strategy. This powerful combination along with the commitment we have to ensure your success is what keeps us going. 

    Connect with NextBee to analyze how we can optimize your social media presence for you!!

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