Post by hasbirabbi112233 on Feb 27, 2024 6:34:15 GMT
Growing the business, improving the customer experience and minimizing risk in decision making are the three areas where IBM's social media analytics proposal stands out. As if all this were not enough, the combination of the solution that Lantares has approved in IBM and IBM SPSS predictive analysis helps to increase the profitability of marketing actions based on four pillars: Identification of habits and detection of trends by capturing consumption data from a multitude of Internet sources. Media social intelligence, which comes from the analysis of data extracted from opinions, comments and actions that different users leave on the network with their active participation. Prescriptive analysis , based on the construction of models capable of predicting behavior. Monetization of social media, thanks to the personalization of each initiative taken aimed at interaction with clients and/or users. The core that allows a development of this type is the ability to find relevant data among all the information available on the Internet, the ability to process and structure it and the expertise when applying advanced analysis techniques , which are what really make a difference.
Photo credits: "Social Network Background With Media Icons" by photoraidz Social media analytics: how the IBM solution works IBM's social media analytics solution seeks to optimize business results through a better understanding of user and customer sentiment and increased visibility into the social media impact of your products, services, markets, campaigns, employees and partners. The volume of data to be processed, the ability to update it and the possibility of integrating it with internal business processes are the fundamental Phone Number List points on which to build the three main objectives that IBM's social media analytics solution pursues: 1. Business growth – by understanding consumer trust and evaluating the impact of marketing campaigns. To do this, it takes care of: Measure consumer confidence and evaluate the effectiveness of marketing actions carried out based on searching for mentions in blogs, forums, social networks and opinion websites . Discover affinity relationships that allow you to detect trends and make adjustments. Identify social platforms that may be of interest to the business.
Monitor changes in the reputation of stakeholders that could affect the image of the business . 2. Optimization of decision making: adjusting strategies in real time and thanks to the ability to forecast the future , which is achieved: Studying all the elements that in some way interact with the business and its evolution . Discovering new opportunities. Multiplying the organization's response capacity based on the configuration of business rules , filters and analysis. 3. Improvement of the customer experience: which can be seen in the reduction of response times and the suitability of the solutions proposed in each case. The secret to making it effective lies in: Ability to respond quickly to messages, requests and opinions expressed on the web . Ability to anticipate customer reaction to future launches. Knowledge of customer needs and preferences that make it possible to strengthen ties and build relationships based on trust. The success stories of IBM social media analytics reflect how advanced analytics applied to the study of social media is capable of adding value through better knowledge of the needs of the user or client, as can be seen in this link about the city of Toulouse, and how it allows a negative opinion expressed on the internet to be turned into something positive ( BBVA case ). Related posts: The ROI of social media analytics Social listening: how it works and how to choose a tool What you've never been told about social media monitoring.
Photo credits: "Social Network Background With Media Icons" by photoraidz Social media analytics: how the IBM solution works IBM's social media analytics solution seeks to optimize business results through a better understanding of user and customer sentiment and increased visibility into the social media impact of your products, services, markets, campaigns, employees and partners. The volume of data to be processed, the ability to update it and the possibility of integrating it with internal business processes are the fundamental Phone Number List points on which to build the three main objectives that IBM's social media analytics solution pursues: 1. Business growth – by understanding consumer trust and evaluating the impact of marketing campaigns. To do this, it takes care of: Measure consumer confidence and evaluate the effectiveness of marketing actions carried out based on searching for mentions in blogs, forums, social networks and opinion websites . Discover affinity relationships that allow you to detect trends and make adjustments. Identify social platforms that may be of interest to the business.
Monitor changes in the reputation of stakeholders that could affect the image of the business . 2. Optimization of decision making: adjusting strategies in real time and thanks to the ability to forecast the future , which is achieved: Studying all the elements that in some way interact with the business and its evolution . Discovering new opportunities. Multiplying the organization's response capacity based on the configuration of business rules , filters and analysis. 3. Improvement of the customer experience: which can be seen in the reduction of response times and the suitability of the solutions proposed in each case. The secret to making it effective lies in: Ability to respond quickly to messages, requests and opinions expressed on the web . Ability to anticipate customer reaction to future launches. Knowledge of customer needs and preferences that make it possible to strengthen ties and build relationships based on trust. The success stories of IBM social media analytics reflect how advanced analytics applied to the study of social media is capable of adding value through better knowledge of the needs of the user or client, as can be seen in this link about the city of Toulouse, and how it allows a negative opinion expressed on the internet to be turned into something positive ( BBVA case ). Related posts: The ROI of social media analytics Social listening: how it works and how to choose a tool What you've never been told about social media monitoring.