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Advanced Application For Social Media Analytics

Introduction

One of the most challenging and time-consuming aspects of marketing your business online is social media management. With so many different platforms to consider, it can be hard to know which networks to prioritize, which messages will resonate with your audience, and how best to approach scheduling. Luckily for you, our team at Social Analytics has developed a new platform that makes social media management easier than ever before.

From customer profiles and sentiment analysis to smart scheduling, here’s what you need to know about the Advanced Application for Social Media Analytics:

Social Media Analytics

Social media analytics is the process of measuring, evaluating and interpreting data about the behavior of social media users. Social media analytics helps marketers to understand how their target audience responds to their product/service offerings through social platforms. This provides insights on which direction should be taken for marketing activities in order to reach out to the right audience.

Social media analytics can also help businesses in measuring the effectiveness of their advertising campaigns across different social networks like Facebook, Twitter etc., so that they can optimize their spend on those channels.

With so much information at hand it becomes difficult for a marketer or analyst to make sense of all this data by themselves; hence there is a need for advanced application for social media analytics which will enable them do this effectively.

Practitioners and analysts alike know social media by its many websites and channels: Facebook, YouTube, Instagram, Twitter, LinkedIn, Reddit and many others.

Social media analytics is the ability to gather and find meaning in data gathered from social channels to support business decisions — and measure the performance of actions based on those decisions through social media.

Social media analytics is broader than metrics such as likes, follows, retweets, previews, clicks, and impressions gathered from individual channels. It also differs from reporting offered by services that support marketing campaigns such as LinkedIn or Google Analytics.

Social media analytics uses specifically designed software platforms that work similarly to web search tools. Data about keywords or topics is retrieved through search queries or web ‘crawlers’ that span channels. Fragments of text are returned, loaded into a database, categorized and analyzed to derive meaningful insights.

Social media analytics includes the concept of social listening. Listening is monitoring social channels for problems and opportunities. Social media analytics tools typically incorporate listening into more comprehensive reporting that involves listening and performance analysis.

Why is social media analytics important?

IBM points out that with the prevalence of social media: “News of a great product can spread like wildfire. And news about a bad product — or a bad experience with a customer service rep — can spread just as quickly. Consumers are now holding organizations to account for their brand promises and sharing their experiences with friends, co-workers and the public at large.”

Social media analytics helps companies address these experiences and use them to:

  • Spot trends related to offerings and brands
  • Understand conversations — what is being said and how it is being received
  • Derive customer sentiment towards products and services
  • Gauge response to social media and other communications
  • Identify high-value features for a product or service
  • Uncover what competitors are saying and its effectiveness
  • Map how third-party partners and channels may affect performance

These insights can be used to not only make tactical adjustments, like addressing an angry tweet, they can help drive strategic decisions. In fact, IBM finds social media analytics is now “being brought into the core discussions about how businesses develop their strategies.”

These strategies affect a range of business activity:

  • Product development – Analyzing an aggregate of Facebook posts, tweets and Amazon product reviews can deliver a clearer picture of customer pain points, shifting needs and desired features. Trends can be identified and tracked to shape the management of existing product lines as well as guide new product development.
  • Customer experience – An IBM study discovered “organizations are evolving from product-led to experience-led businesses.” Behavioral analysis can be applied across social channels to capitalize on micro-moments to delight customers and increase loyalty and lifetime value.
    Branding – Social media may be the world’s largest focus group. Natural language processing and sentiment analysis can continually monitor positive or negative expectations to maintain brand health, refine positioning and develop new brand attributes.
  • Competitive Analysis – Understanding what competitors are doing and how customers are responding is always critical. For example, a competitor may indicate that they are foregoing a niche market, creating an opportunity. Or a spike in positive mentions for a new product can alert organizations to market disruptors.
  • Operational efficiency – Deep analysis of social media can help organizations improve how they gauge demand. Retailers and others can use that information to manage inventory and suppliers, reduce costs and optimize resources.

Overview of the platform

The new application is a web application. The application is built on the latest technologies, including React and Vue.js. It also includes some popular libraries such as Lodash, Axios and Bootstrap.

The new application is a single-page application (SPA). As SPA technology has been widely applied in many current websites, it has become a trend that companies create their own applications based on SPAs.

This article will help you get started with your first project using Vue 2 + Firebase Cloud Functions so that you can build your first barebones app in no time!

Features of the new application

For every social media platform you use, the application will provide insights into your followers and their activity. This feature is especially useful for brands that manage multiple accounts on different platforms but want to keep track of them all in one place. You can also keep track of your competitors’ performance by creating reports that compare your data with theirs. In addition to these features, Advanced Application For Social Media Analytics offers:

  • Facebook Analytics
  • Twitter Analytics
  • Instagram Analytics

Architecture

The architecture of the new application is built on a microservices architecture. The application has been built on top of a RESTful API, which acts as a gateway for communication between the front-end framework and database.

The database stores all the data that needs to be accessed by users from a variety of devices, including smartphones, tablets and desktop computers. It also serves as an interface for integration with other internal systems in your company’s network infrastructure (i.e., ERP).

In addition to providing information about how many people interact with your posts or those belonging to others in your organization via social media platforms such as Facebook and Twitter at any given time during business hours each day–which would help you determine whether there are issues affecting customer satisfaction–this tool also allows users who have signed up for free trials or subscriptions see what they’re missing out on if they don’t pay anything now!

The new application

The new application is a complete solution for social media analytics. Social media campaigns can be managed from one central location, with easy access to reports and dashboards that show exactly how your efforts are working.

The new application is a cloud-based application. This means it doesn’t require any installation or maintenance on your end, which means you can get started right away! And since it’s web-based, you don’t need to worry about any hardware or software updates either—the new application will always work with the latest versions of browsers and operating systems.

The API Server

The API server is the core of the application. It is responsible for communicating between the database, social media accounts, and end users. The API server uses a language called C# to connect to your SQL Server database. For each social network you want this application to work with (for example Twitter or Facebook), you need to create an account with that social media company so that we can use their APIs (Application Programming Interface).

The API Server is a lightweight Web application that allows users to create and expose data APIs from data, without the need for custom development. Through simple point-and-click configuration, user can create and configure access from popular clients like Microsoft Power.

Customer Profiles and Sentiment Analysis

Profile your social media customer.

  • Create a profile of your customers on social media. What are their demographics? Where do they live? What do they like in terms of products and brands? Which pages are most popular among them? How many followers do they have?
  • Use this information to create a profile for each customer type in your database, including the following: gender, age range, location (city, state/province), education level/occupation type and more. Use this data as an early warning system when it comes to trends or preferences in certain demographics that may indicate future success for certain products or services within the company’s portfolio.
  • Use sentiment analysis tools such as AlchemyAPI or Lexalytics to analyze what people are saying about the company online across blogs and forums where users can freely express their opinions on topics such as customer service issues; product quality; brand loyalty or disaffection; competitor comparisons etcetera so that you can proactively address negative feedback before it spreads too far through the internet community at large.

Smart Scheduling for Social Media Posts

Social media analytics helps you to know about the behavior of your customers, their sentiment about a product or service. However, it is not enough to just know the stats and then stop there. You need to take that information and use it to increase engagement with your target audience by sending them the right content at the right time so that they can convert into customers.

It’s possible for you to do this manually if you have a simple social media campaign but when it comes down to more complex campaigns with multiple channels like Facebook, Instagram and Twitter all working together in harmony; then you need an automated way of scheduling posts on each channel at different times throughout the day.

The new application will help you schedule social media posts based on customer profile:

  • Customer Age Groups
  • Customer Gender
  • Customer Location (City & Country)

Advance Application will help your team to manage social media more efficiently.

The advanced application will help your team to manage social media more efficiently. It allows you to monitor the performance of your content and identify trends, so that you can improve it. You can also assess how many times each post has been shared, liked, retweeted or commented on.

The advanced application will help your team to manage social media more efficiently. It allows you to monitor the performance of your content and identify trends, so that you can improve it. You can also assess how many times each post has been shared, liked, retweeted or commented on.

Conclusion

In conclusion, Advanced Analytics will help you to increase your ROI and maximize the impact of your social media marketing. We hope that this report has given you some insight into how we can improve your business performance by applying our advanced analytics solution. You can use the new application to manage social media more efficiently.

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