Genesys Social Listening

Seamlessly integrate social media customer care into the all-in-one Genesys Cloud platform, enabling you to monitor, analyze, and engage with customers across social channels.

Quel est le défi ?

Today’s customers expect seamless, omnichannel experiences—including on social media. They voice their opinions, seek support, and engage with brands across platforms like Twitter, Facebook, Instagram, and LinkedIn. However, many CCaaS providers struggle to integrate social interactions into their customer experience (CX) strategy, leading to missed opportunities, reputation risks, and customer dissatisfaction. 

Given below are some of the key challenges 

  1. Fragmented Customer Journeys – Without social listening, brands lack visibility into customer interactions happening outside traditional channels, making it difficult to provide consistent, personalized support. 
  2. Reactive vs. Proactive Engagement – Many contact centers rely on customers reaching out with issues rather than proactively identifying sentiment shifts, potential crises, or brand advocacy moments. 
  3. Brand Reputation Management – Negative feedback can escalate quickly on social media. Without real-time monitoring and response capabilities, brands risk reputational damage. 
  4. Lost Revenue Opportunities – Customers often express purchase intent, complaints, or competitive comparisons on social media. Without social CX integration, companies miss valuable sales and retention opportunities. 
  5. Scalability and Compliance – Managing high volumes of social interactions manually is inefficient and poses compliance risks in regulated industries. 

          To remain competitive, CCaaS providers must offer integrated social listening and engagement capabilities, ensuring that brands can provide proactive, personalized, and efficient customer experiences across every touchpoint—including social media. 

          Quelle est la solution ?

          Genesys Cloud Social allow companies to monitor and analyze through social listening to engage with customers across social media in real time. These capabilities enable brands to track customer sentiment, proactively address issues, and create seamless customer experiences across social channels. Social listening uses AI-driven sentiment analysis to detect emerging trends, potential crises, and customer intent, ensuring companies stay ahead of customer expectations. 

          Genesys Cloud Social seamlessly integrates with existing contact center workflows, allowing agents to engage with customers across social platforms—all within a unified interface. Agents can view interactions across voice, chat, email, and social, ensuring personalized and contextual responses.  

          Genesys Cloud Social also helps protect brand reputation by identifying negative sentiment spikes and enabling rapid responses to prevent issues from escalating. Real-time analytics track engagement trends, campaign performance, and customer feedback, allowing companies to refine their CX strategy continuously. Social interactions can also uncover purchase intent and competitive insights, turning social engagement into revenue opportunities. 

          By embedding social listening and the ability to engage with social media comments into existing contact center workflows, companies scale customer engagement, improve response times, and deliver proactive, AI-powered support. This results in higher customer satisfaction, reduced operational costs, and increased brand loyalty. It also empowers organizations to leverage insights from social engagements across all orchestrated experiences that touch the Genesys Cloud platform. 

          Aperçu des cas d'utilisation

          Histoire et contexte commercial

          The rise of social media as a key customer engagement channel has transformed how businesses interact with their customers. Customers are no longer limiting their service requests to traditional channels like voice and email; instead, they voice concerns, ask for help, and share feedback on platforms like X/Twitter, Facebook, Instagram, LinkedIn, and Reddit. As a result, organizations must manage an ever-growing volume of social interactions while ensuring a seamless, omnichannel customer experience. 

          Many companies have implemented AI-powered solutions to improve engagement, yet social interactions often remain disconnected from the broader customer experience strategy. Without integrated social listening with the ability to quickly engage with customers, businesses miss critical opportunities to proactively address concerns, protect their brand reputation, and drive engagement that leads to customer loyalty. 

          Genesys Cloud Social plays a crucial role in transforming customer engagement by enabling businesses to monitor, analyze, and respond to social interactions in real time. AI-powered social listening detects sentiment shifts, identifies emerging trends, and uncovers valuable insights from customer conversations. At the same time, Genesys Cloud Social ensures agents can engage with customers across all social platforms from a single interface, providing contextual, seamless support. 

          Genesys delivers an innovative approach by integrating these social media capabilities into the broader contact center experience. This integration ensures that social interactions are no longer siloed but instead become a key part of a brand’s customer engagement and service strategy.  

          For contact center agents, the benefits extend beyond engagement. They receive real-time insights and sentiment analysis, helping them prioritize and personalize interactions.  

          End customers experience a seamless, proactive, and responsive service experience. Whether they reach out via social media or other digital channels, AI-powered Social CX ensures their concerns are addressed promptly. Instead of waiting on hold or navigating fragmented support channels, customers receive immediate responses, personalized engagement, and issue resolution in the channel of their choice. 

          Moreover, when a social interaction is completed, the system automatically logs and categorizes the conversation, ensuring valuable insights are captured for future analysis. These insights empower businesses to measure social engagement effectiveness, refine their strategies, and continuously improve the customer experience. 

          By integrating social listening and the ability for agents to directly engage with relevant customer comments, businesses can scale engagement, drive brand loyalty, and transform social interactions into powerful opportunities for customer service, reputation management, and revenue growth. 

          Avantages des cas d'utilisation

          Bénéfice Explication :
          Amélioration de l'expérience des clients Genesys Cloud Social enable real-time engagement, ensuring customers receive fast, personalized responses on their preferred social platforms.
          Amélioration du taux d'occupation des employés AI-powered sentiment analysis detects customer concerns and trends, allowing businesses to address issues before they escalate.
          Réduction du taux d'attrition des clients Real-time monitoring and response capabilities prevent negative sentiment from spreading and damaging brand perception. This reduces customer churn.
          Amélioration de la résolution du premier contact Thanks to a variety of routing methodologies, including AI-led Genesys Cloud Predictive Routing, ensures social media interactions are routed to the right agent, reducing the need for multiple touchpoints.
          Augmentation des recettes Social listening identifies customer intent, enabling businesses to capture sales opportunities and drive engagement with potential buyers.
          Amélioration des connaissances et de la visibilité Social interactions are unified with other customer service channels, providing agents with a complete view of the customer journey.

          Résumé

          Genesys Cloud Social enables businesses to monitor, analyze, and engage with customers on social media in real time. AI-powered sentiment analysis detects trends and customer intent, allowing proactive engagement and reputation management. 

          The solution integrates social media interactions seamlessly with other channels, providing agents with context-rich interactions and AI-driven automation for quick responses and smart routing. Businesses can improve customer satisfaction, reduce agent workload, and unlock revenue opportunities through social engagement. 

          Définition des cas d'utilisation

          Flux d'affaires

          1. An inbound message is received from one of the social channels. 
          2. The message data is ingested based on the data ingestion rules to ensure that it is relevant. 
          3. The message is processed through Social Escalation rules to ensure that Agent intervention is required. 
          4. If Agent intervention is required, the agent picks up the conversation with full context and history provided. 
          5. The agent provides a response and sends it back to the customer via the appropriate social channel. 
          6. The response is received by the customer and the conversation can be continued or ended if there are more questions. 

          Logique commerciale et de distribution

          The business logic of the process behind Genesys Cloud Social can be broken down into the following steps: 

          Inbound Social Message 

          1. Customers post messages, comments, or queries on public social media platforms such as X (Twitter), Facebook (FB), and Instagram (IG). 
          2. These messages could be general inquiries, complaints, feedback, or engagement with the brand. 
          3. These messages could be public or private messages 

               

              Data Ingestion 

              1. The system ingests social media data based on Data Ingestion Rules that are created by the users 
              2. These rules determine which messages are captured, filtering out noise and focusing on relevant customer interactions. 

                 

                Social Escalation 

                1. Once the data is ingested, it is processed through Social Escalation Rules to determine whether it needs agent intervention. 
                2. Escalation criteria could include sentiment detection, specific keywords 
                3. If escalation is required, the message is routed to an agent. 

                   

                  Agent Engagement 

                  1. Escalated messages require agent intervention and agents can pick them up for responses via the Agent Desktop. 
                  2. The agent receives the conversation with full context and history, enabling them to provide a personalized, informed response. 

                   

                  Agent Response 

                  1. The agent crafts a response and sends it back through the appropriate social channel. 
                  2. Responses can be manual, or templated based (canned responses) on the nature of the inquiry. 

                     

                    Outbound Message to Social Channels 

                    1. The response is sent back to the customer on the original social media platform (X, Facebook, Instagram, or others). 
                    2. This ensures a seamless, real-time interaction between the brand and the customer. 

                    Interface utilisateur et rapports

                    ID de l'agent

                    The Social Listening Performance view page is the central location for viewing more information about social listening performance data. The data is automatically populated based on the queries created by the admins. This page provides a visual representation of the social listening performance data in the following categories: 

                    • Mentions Over Time Breakdown by Topic – Displays the topic-wise social statistics for brand mentions and the keywords added in the Data ingestions rule over a specific period. By default, the data is displayed as a line chart. You can change the chart type to a pie chart and see the standard deviation. 
                    • Unique Users by Topic – Displays the number of unique users over a specific period based on the topic. By default, the data is displayed as a line chart. You can change the chart type to a pie or bar chart and see the standard deviation. 
                    • Net Sentiment Over Time – Displays the net sentiment percentage data over a specific period based on the topic. By default, the data is displayed as a line chart. You can see the standard deviation. The net sentiment is calculated by: ((Total Positive Posts – Total negative posts) / (Total Positive + Total Negative + Total Neutral posts)) * 100 
                    • Sentiment Breakdown by Topic – Displays the topic-wise sentiment data such as Positive, Negative, Neutral, and Unknown. By default, the data is displayed as a bar chart.  
                    • Sentiment Breakdown by Platform – Displays the platform-wise sentiment data percentage. By default, the data is displayed as a bar chart.  
                    • Mentions Breakdown by Platform – Displays the platform-wise social listening data. By default, the data is displayed as a bar chart. You can change the chart type to a pie chart. By default, the data is displayed as a bar chart.  
                    • Mentions Breakdown by Topic and Platform – Displays the topic-wise and platform-wise social listening data.  
                    • Content Type Breakdown by Platform – Displays the platform-wise content type data such as Open, X (formerly Twitter), Instagram, and Facebook. By default, the data is displayed as a pie chart.  

                    To see social listening data and metrics, click Performance > Workspace > Social Social Listening Performance. 

                    In all the chart types, you can right-click on the respective data point to view the drill-down information of that point along with the filters and the duration. 

                    Set a default time zone in the workspace 

                    You can set the default time zone in the analytics workspace before viewing any analytics view. 

                    To set the default time zone in the workspace, follow these steps: 

                    1. Click Performance > Workspace. 
                    2. On the left side, from the Time zone drop-down menu, select the required time zone as the default time zone for the analytics workspace. 

                      To save the view with your filter, click Save View . 

                      This view updates automatically except when you use filters from the Filters pane. To see the most current data, click Refresh . 

                      Customize the view 

                      To show only certain data, customize the Social Listening Performance view using any combination of filters. For example, you can choose to show only certain filters to see certain types of data. You can also save your filter and column settings as a saved view to switch quickly between different data of interest in the same view. 

                      Rapports

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                      Considérations relatives à la clientèle

                      Interdependencies

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                      Hypothèses générales

                      Messagerie en ligne 

                      • Customers create a Web Messenger configuration and deployment, then add the deployment snippet to their web pages where their consumers can interact with the business.

                      Messagerie mobile 

                      • Customers can embed Genesys Mobile Messenger SDK into their native mobile apps to show a Messenger UI capable of asynchronous messaging where consumers can interact with the business, similar to the Web Messenger.

                      Facebook Messenger 

                      • Customers create a Facebook Messenger Integration in Genesys Cloud to connecting their Facebook page enabled with Facebook Messenger to Genesys Cloud and enable receiving and sending of direct messages within Genesys Cloud.

                      Instagram 

                      • Customers create an Instagram Integration in Genesys Cloud to connecting their Instagram Account to Genesys Cloud and enable receiving and sending of direct messages within Genesys Cloud.

                      X (Twitter) Message direct 

                      • Customers create an X Integration in Genesys Cloud to connect their X handle to Genesys Cloud and enable receiving and sending direct messages within Genesys Cloud.  
                      • Businesses deploy an approved X (Twitter) Direct Message app.
                      • Customers agree to the X/Twitter Rulesand Spam Policy as defined by X (Twitter). 

                      WhatsApp 

                      • Customers provision and own the voice or SMS number to be used for their business WhatsApp account.  Customers will maintain ownership of the voice or SMS number while their WhatsApp account using that number is active.
                      • Customers create a WhatsApp Integration in Genesys Cloud to connect their WhatsApp number to Genesys Cloud and enable receiving and sending of direct messages within Genesys Cloud.

                      Messagerie ouverte 

                      • Customers create an Open Messaging Integration in Genesys Cloud using an Outbound Notification Webhook to connect to a custom asynchronous messaging channel to Genesys Cloud.  This will enable receiving and sending of messages with Genesys Cloud.  

                      Autres hypothèses 

                      Les clients finaux doivent disposer d'une version d'application prise en charge installée en tant qu'application mobile ou de bureau, le cas échéant, ou être connectés au site web du fournisseur du canal de messagerie avec un navigateur web pris en charge. 

                      • Text, Files, Images, Emojis, URL links, and Rich Media are supported (support by channel varies)
                      • Mobile applications
                      • Facebook Messenger, X (Twitter), Instagram, and WhatsApp mobile clients are compatible with Genesys Messaging for Genesys Cloud CX, where required platform messaging apps have been approved, configured, and deployed according to the provider’s guidelines.
                      • Website applications
                      • Facebook Messenger, Instagram, X (Twitter), and WhatsApp web clients are compatible with Genesys Messaging for Genesys Cloud CX, where required platform messaging apps have been approved, configured, and deployed according to the provider’s guidelines.

                      Responsabilités du client

                      Les clients doivent respecter toutes les conditions générales des plateformes de messagerie sociale qu'ils choisissent de configurer avec Genesys Cloud. 

                      Facebook Messenger 

                      • Customers must setup up their own business Facebook page with messenger setup to integrate with Genesys Cloud.   

                      Instagram 

                      • Les clients doivent apporter leur propre compte Instagram pour l'intégration. 

                      X (Formerly Twitter) 

                      • Customers must sign up for their own business handle with X to integrate with Genesys Cloud. 

                      WhatsApp 

                      • Customers are responsible for setting up their companies Meta Business Manager Account and verifying their business with Meta. 
                      • Les clients sont responsables de l'obtention d'un numéro vocal/SMS qui sera utilisé par leur entreprise pour WhatsApp.  Les clients sont responsables du maintien de la propriété du numéro vocal/SMS tant que leur compte WhatsApp est actif. 

                      Messagerie ouverte 

                      • Les clients sont responsables de la mise en place de toutes les solutions middleware nécessaires entre Genesys Cloud Open Messaging et l'application de messagerie intégrée. 

                      Web & Mobile Messenger 

                      • Customers are responsible for deploying either JavaScript snippet to their website, or add Mobile SDK to their mobile app, in order to run both Web and Mobile Messenger. 

                       

                      Documentation connexe

                      Version du document

                      V 1.0.0


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