This lesson explains the use of social media analytics tools for data analysis, predictive insights, and the integration of social media into Customer Relationship Management (CRM) platforms, known as Social CRM.
Using Social Media to Engage with Customers
Social media networks such as Facebook, LinkedIn, and X (formerly known as Twitter) provide companies with several ways to engage with customers.
This means more data that needs to be incorporated with data that is already stored in the organization’s enterprise system and turning that data into useful information. Social CRM Analytical Tools
Social media analytics tools are software tools that automate the process of social media analysis with the help of technologies such as data mining, data analytics, predictive analysis, and Big Data.
Data Mining:
Process of discovering patterns and extracting useful information from large sets of data. In social media, it helps uncover hidden trends or user sentiments by analyzing posts, likes, shares, and comments. Typically involves unsupervised analysis, where the goal is to uncover new insights Data Analytics:
The process of examining raw data to draw conclusions. In social media, data analytics can reveal which posts are most engaging, the best times to post, and how social media campaigns are performing. Can include supervised analysis, where you analyze data with specific questions in mind (e.g., "What is the sales trend over the last quarter?"). Predictive Analysis:
Uses historical data and algorithms to predict future trends or user behavior. Helps businesses forecast how users will react to content or predict the success of future social media campaigns. Big Data:
Refers to massive amounts of data generated from social media interactions, such as user posts, comments, likes, and shares. Social media analytics tools leverage Big Data to provide valuable insights that can be used to improve marketing strategies.
Social CRM
Social CRM is the integration of social media into CRM platforms.
Companies can benefit from social CRM to quickly identify new ideas, improve productivity, and increase customer interactions, providing customer services much faster and less expensive than phone or email. Social CRM can potentially deliver returns across and between several core business functions, including marketing. Benefits of using a Social CRM Improved Customer Insights. It allows companies to understand customer preferences, behavior, and sentiments. Enables businesses to respond quickly to customer inquires, resolving issues, and providing support faster than traditional methods. Allows companies to personalize marketing campaigns, reaching the right audience with relevant content. Facilitates more meaningful and frequent engagements with customers, leading to improved relationships. There are typically two categories of CRMs: operational and analytical.
Operational CRM focuses on customer-facing tools such as sales force automation, call center support, customer service, and marketing automation Analytical CRM involves applications that analyze customer data collected by operational CRM tools. It employs OLAP, data mining, and business intelligence to enhance business performance management.