Skip to content

Instantly share code, notes, and snippets.

Show Gist options
  • Save soham2008xyz/98717db7f227c1706db633d44c36183b to your computer and use it in GitHub Desktop.
Save soham2008xyz/98717db7f227c1706db633d44c36183b to your computer and use it in GitHub Desktop.
Renderbit Case Studies - Media & Entertainment Segment

Case Study: Online Polling System Using WhatsApp for a TV Channel

Project Summary

Renderbit Technologies was engaged by a leading television channel to design, develop, and deploy an online polling system using WhatsApp, integrated with a dynamic, mobile-responsive web admin portal. The goal was to enhance audience engagement during the airing of various TV shows by running real-time polls. Viewers could participate in polls via a WhatsApp chatbot during the daily episodes of TV shows, answer questions related to the content, and stand a chance to win prizes. Channel administrators could access real-time insights and engagement analytics through the web admin portal, allowing them to monitor poll performance and audience interaction.

Issues Faced by the Client

The TV channel faced several challenges in boosting audience engagement during showtime:

  • Limited Audience Interaction: Traditional TV viewing offered limited opportunities for real-time audience engagement, making it difficult to assess viewer interaction with the shows.
  • Manual Polling Process: Previous engagement attempts, such as phone-in contests or SMS-based polls, were cumbersome for both viewers and channel administrators, leading to low participation rates.
  • Lack of Real-Time Insights: The channel had no mechanism to gather real-time feedback or analyze viewer engagement on a per-episode or per-show basis.
  • Engagement Analytics: The client needed a way to track audience responses and measure engagement in a way that would inform future programming decisions.

Solutions Provided

Renderbit Technologies developed a comprehensive online polling system that allowed viewers to participate in polls via WhatsApp and provided administrators with powerful tools to manage the polling process and view engagement insights. The key components of the solution were:

1. WhatsApp Chatbot for Audience Engagement

  • Real-Time Polling via WhatsApp: Viewers could participate in polls by interacting with a WhatsApp chatbot. During each episode, a poll with four answer options was sent to viewers, who could respond with their choice.
  • Question Customization: Channel administrators could configure poll questions specific to each episode or show, ensuring that the questions were relevant to the content being aired.
  • Prize-Winning Feature: At the end of each poll, winners were chosen at random from the participants who provided the correct answers, encouraging viewers to engage regularly.
  • Multi-Language Support: To cater to a diverse audience, the WhatsApp chatbot was designed to support multiple languages, allowing viewers to interact in their preferred language.

2. Mobile-Responsive Web Admin Portal

  • Dynamic Poll Management: The admin portal allowed channel administrators to create, edit, and schedule polls for each show. Administrators could define poll questions, answer options, and the timing of when each poll would be sent via WhatsApp.
  • Real-Time Engagement Insights: The portal provided real-time analytics on viewer engagement, including the number of responses per episode and per show, as well as demographic insights into participants.
  • Participant Data Management: The admin portal stored participant data, including responses and winner selection, and allowed administrators to export data for further analysis.
  • Reporting and Analytics: The portal featured a reporting section that generated reports on poll engagement, response accuracy, and participation rates. Administrators could filter reports based on show, episode, or time period, providing deep insights into audience preferences and engagement trends.

3. WhatsApp API Integration

  • Seamless Integration: The polling system was integrated with the official WhatsApp Business API, ensuring smooth communication between viewers and the channel via the chatbot.
  • Automated Responses: The chatbot automatically processed viewer responses, provided confirmation messages, and tracked engagement in real time.
  • Data Security: All data transmitted via WhatsApp was encrypted to ensure privacy and security of participant information.

4. Audience Prize Distribution

  • Random Winner Selection: The system was programmed to randomly select a set number of winners from the pool of correct answers. The winners were notified directly via WhatsApp, with instructions on how to claim their prizes.
  • Transparency and Fairness: The automated selection process ensured transparency in how winners were chosen, fostering trust among the audience.

Expertise Delivered

  • WhatsApp Chatbot Development: Designed and deployed an interactive WhatsApp chatbot to facilitate real-time audience polling during TV shows.
  • Mobile-Responsive Web Portal Development: Created a dynamic, mobile-responsive admin portal for managing polls, tracking user engagement, and generating detailed reports.
  • Real-Time Analytics: Delivered real-time insights into viewer engagement, enabling administrators to monitor participation and adapt their strategies accordingly.
  • Automated Prize Distribution: Developed an automated process for selecting random winners from the pool of correct answers, streamlining the prize distribution process.
  • Seamless API Integration: Integrated the WhatsApp polling system with the WhatsApp Business API, ensuring a smooth and secure communication channel.

Technologies Used

  • WhatsApp Business API: For integrating WhatsApp-based polling and providing seamless interaction between viewers and the chatbot.
  • Node.js/Express: For building the backend services, managing real-time communication, and processing poll responses.
  • React/Bootstrap: For developing the mobile-responsive web admin portal, ensuring a consistent user experience across devices.
  • MongoDB: For managing participant data, poll configurations, and storing engagement analytics.
  • Google Analytics: For tracking audience engagement metrics, including response rates and demographic insights.
  • SSL Encryption: To secure all data transmissions between the WhatsApp chatbot, admin portal, and backend servers.

Impact

The online polling system delivered significant benefits to both the TV channel and its audience. Key outcomes included:

  • Increased Audience Engagement: The interactive polling system boosted audience engagement during live shows, as viewers were incentivized to participate by the chance to win prizes.
  • Real-Time Feedback: The channel gained access to real-time feedback on audience engagement, allowing them to adjust programming and tailor future episodes to better meet viewer preferences.
  • Efficient Poll Management: The mobile-responsive admin portal simplified the management of polls, allowing administrators to schedule and monitor poll performance with ease.
  • Improved Viewer Experience: By leveraging WhatsApp, a familiar and widely used platform, the polling system offered a seamless and enjoyable experience for viewers, increasing participation rates.
  • Data-Driven Insights: The advanced analytics and reporting capabilities provided by the admin portal allowed the channel to track engagement trends, identify popular shows, and make data-driven decisions to enhance content and audience retention.

Conclusion

Renderbit Technologies successfully designed, developed, and deployed an innovative online polling system for the TV channel, enabling real-time audience engagement through WhatsApp. The solution not only enhanced viewer participation but also provided valuable insights into audience behavior, helping the channel optimize its programming. The combination of a robust WhatsApp chatbot, dynamic admin portal, and real-time analytics positioned the channel to effectively engage with its audience and make data-driven programming decisions.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment