Feature Request

Business problem: As a channel manager, I want an auto alert feature to let me know my channel token has expired so that I can refresh the token and minimize operational disruption. Desired outcome: Automatic notification upon token expiration Seamless token refresh process Use Cases: Alert channel managers before token expiration to prevent service interruptions Provide a direct link or method for quick token refresh The current workaround: Manual checking of the channels

Business Problem: Timely responses are crucial for maintaining customer engagement and optimizing communication strategies. However, the platform currently lacks a built-in feature to track response deadlines, whether for customer replies or internal user follow-ups. This limitation makes it difficult to: Identify contacts who haven't responded within a set timeframe, limiting remarketing opportunities. Track agents or users who are slow to respond, impacting service efficiency. Automate reminders or escalation actions based on missed deadlines. Without this visibility, businesses struggle to maintain proactive engagement and ensure responsiveness across conversations. Desired Outcome: Introduce a customizable response deadline tracking feature that enables businesses to: Set deadlines for customer responses to trigger remarketing efforts for inactive contacts. Monitor agent/user response times to improve follow-up efficiency and internal accountability. Automate actions such as sending reminders, escalating unresolved conversations, or re-engaging inactive leads.

Business problem: When there are too many messages coming in, sometimes it's difficult to find out if the team is responding to the conversations. There might be a risk if a message goes unreplied. Desired outcome: It would be good if we can filter out conversations that we haven't replied to.

Business Problem: Currently, respond.io Webhooks do not provide reporting for broadcast messages. Users can only retrieve data for workflows and direct messages, making it impossible to automate broadcast tracking. This limitation impacts businesses that rely on engagement data for analytics, customer insights, and behavior modeling. Extracting reports manually from the Reports module is inefficient, especially with the row limit on CSV exports. Desired Outcome: Users should be able to receive broadcast message data via Webhooks, just like workflow and direct messages. This would allow businesses to automate data collection, integrate it with their internal reporting systems, and eliminate manual work. Having real-time broadcast reporting ensures accurate engagement tracking and better decision-making.

Business Problem: Businesses face challenges in efficiently handling meeting and appointment scheduling through chat. Key components of the issue include: Allowing contacts to easily schedule meetings or appointments via chat. Providing businesses with tools to manage availability, meeting durations, and other appointment settings. Sending appointment confirmations and reminders via chat to ensure contacts are informed about upcoming meetings. Enabling contacts to reschedule appointments directly through chat when needed. This lack of an integrated solution forces businesses to rely on external tools, leading to inefficiencies and potential friction in the user experience. Desired Outcome: Implement an integrated appointment scheduling feature within the platform. This feature should include: Seamless scheduling of meetings or appointments directly through chat. Customizable business settings for availability, meeting durations, and appointment preferences. Automated confirmation and reminder notifications via chat. Easy rescheduling options for contacts to adjust appointment times when necessary. Use Cases: Customer Support Appointments: Enable customers to book service or support sessions directly during chat interactions. Sales Meetings: Allow prospects to schedule demos or sales calls in real-time through chat. Automated Reminders: Ensure customers receive timely reminders and confirmations to reduce missed appointments. Workaround: Businesses currently use third-party applications like Calendly for appointment scheduling and share booking links with contacts. However, this adds extra steps and disrupts the seamless chat experience.

When migrating from the WhatsApp Business App to the WhatsApp API, it would be ideal to import existing conversations, allowing users to continue seamlessly without starting from scratch.

Business problem: As a marketer, I want to create, view, and send WhatsApp Marketing Form Templates through a WhatsApp Flow Message to collect information from the contact via the form, so that I can streamline the information-gathering process and improve lead capture efficiency. Desired outcome: Ability to create WhatsApp Form Templates View and manage these templates Send templates via WhatsApp Flow Messages Use Cases: Creating a new marketing campaign requiring contact information collection Sending follow-up messages to contacts with forms for additional data The current workaround: Use "Ask a Question" step in Workflow to collect information Use AI Agent to collect information objectives Note: A Conversation Window should be open first

Lead Ads allow for collecting more information from the Contact which can be added on Respond.io By clicking on the lead ad, contacts will see a form that’s conveniently pre-filled with the info they’ve already shared with Facebook—like their name, number, or email. Workaround: Utilize either the Zapier template or the Make.com template to automate creating or updating a contact in respond.io when they submit the Facebook Lead Ads form. Zapier Template: Link Make.com Template: Link

The official WhatsApp API currently doesn't support Group Chats. Other platforms supporting WhatsApp Groups use unofficial APIs that often break. We will consider building this feature once it is released officially for WhatsApp API. 🔴 Important Note : This is NOT a limitation on respond.io . This is a limitation set by Facebook's team to all WhatsApp API accounts.

Business Problem: Our platform currently lacks a personalized product recommendation feature. This absence limits our ability to guide customers towards products that best suit their needs and preferences, potentially leading to missed sales opportunities and reduced customer satisfaction. Desired Outcome: Implement a new AI Agent objective that suggest relevant products based on Contact's conversation. This objective should improve user experience by offering tailored suggestions, increasing the likelihood of purchases, enhancing customer engagement and able to capturing intent after recommending products.