Social Analytics Platform

Social analytics platform

Through social media—where over 2.6 billion people now go to get their news and share their opinions—businesses now have access to the largest, richest source of data about consumers and the market. Using a social analytics platform, they can process large volumes of data gathered from across the social web, learning from the billions of conversations taking place online every day. By combining broad social media monitoring capabilities with powerful social media data analysis tools, a social analytics platform makes it easy for companies to get a complete overview of their brand’s social presence on social media, user engagement with their content and campaigns, emerging consumer trends, disruptive technologies and ideas, influential voices, and more.

Identifying Social Shifts Dashboard

Are social networks’ built-in analytics tools enough?

Smaller companies or teams with extra time on their hands may find that the built-in analytics tools provided by the major social networking services are sufficient for their purposes. Facebook Insights, Twitter Analytics, and similar tools can provide organizations with useful metrics as well as information about followers for their owned accounts. They can show you how your posts are performing and how your fans or followers are reacting to your content.

For global brands that need to monitor multiple accounts on various sites and compare stats across channels, a social analytics platform is essential. Native social analytics tools oftentimes provide only up to 28 days of history, insufficient for brands that need more historical data. Moreover, you are limited to viewing the information solely for your owned accounts, meaning you’re missing out on earned media and unable to monitor your competitors’ activity.

Correlated Online Interests Display

Why use a social analytics platform

A social analytics platform gives you a complete view of your owned, paid, and earned media and lets you keep a close eye on your competitors’ accounts and followers on multiple social networks. By aggregating key reach and engagement metrics and collecting mentions of your brand from across social channels and markets, a social analytics platform saves you time and accelerates your time to insight.

Using a single command center to view the social media KPIs most relevant to your objectives, your teams can answer critical business questions. Through analytics dashboards, your marketing team can evaluate the performance of their digital marketing campaigns or determine their target audience for their next campaign while your communications teams assess the success of their efforts to mitigate an emerging crisis. Your product managers can obtain real-time feedback from your customers and identify changing consumer needs to guide their development efforts while your customer care representatives find and respond to disgruntled customers complaining on social channels.

Advantages of leveraging an AI-fueled social analytics platform

Enterprise-scale social analytics platforms leverage AI for social media data analysis, making it possible to accurately analyze billions of conversations faster than ever before. Equipped with AI engines, next-generation social analytics solutions offer you more powerful data processing capabilities and tools that make your job easier.

Sentiment analysis, for example, uses natural language processing, computational linguistics, and text analysis to determine the sentiment behind online conversations. When combined with influencer analysis, your teams can be alerted to growing negative sentiment around your brand anywhere in the world and zoom in to the people directing the conversation.

Trend analysis and topic clustering help you detect changing consumer priorities and grasp the gist of millions of conversations about a trending topic quickly – intelligence you can use to your advantage. An AI-powered social analytics platform turns the complexity of the ever-changing social web into clear and actionable insights.

Synthesio’s next-generation social listening and social analytics platform

With Synthesio’s robust social listening and social analytics platform, you don’t have to be a data scientist to extract more value from your social data. Synthesio’s comprehensive social media listening capabilities, audience analysis tool, and AI-fueled trend detection and insights module supply you with qualitative and quantitative insights around your brand’s online presence, online audiences, and your competitors. Synthesio does the tedious work for you, so your teams can focus on the conversations and people that matter most to your business.

Using Synthesio’s Dashboards for Social Listening, your marketing, public relations, customer care, sales, and other teams can leverage use-case based dashboards, letting them view the metrics most relevant to their goals alongside a real-time feed of mentions of your brand, products, and services. Monitor and improve campaign performance, measure and boost your social media ROI, and benchmark and analyze brand health in real-time. Backed by the largest collection of data sources in the industry, Synthesio’s dashboards ensure that you get the breadth and depth of data and enterprise-level analytics a global brand needs to stay competitive.

Social Media Intelligence Bubble Chart

Moving from Social Listening to Social Media Intelligence

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What is social analytics?2020-02-13T13:23:13-05:00
These are software tools used to process and extract actionable insights from social media data. By applying data science to social media, they help companies better understand online conversations about their brand, products, and services, their online audiences, and their competitors’ tactics and strategies for social media engagement and marketing.
What do advanced analytics for social media do?2020-10-13T11:31:51-04:00
These are software tools leveraging AI and machine learning algorithms to analyze structured and unstructured data gathered from social channels faster and more accurately. Tools such as sentiment analysis, trend analysis, topic clustering, and image recognition make it possible to process, sort, and filter social media data fast and surface meaningful connections, patterns, trends, and insights that businesses can use to their advantage.

By |2020-02-25T16:45:26-05:005 February 2013|

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