Feature & Improvement Requests

Broadcast Interaction Triggers in Automation Flows
Adapting to new WhatsApp marketing conversation policies ( https://www.spurnow.com/blogs/whatsapp-marketing-per-user-limits ) requires innovative features that allow for more targeted and efficient follow-ups on customer interactions. Introducing new triggers based on customer actions within broadcasts and the ability to specify follow-up flows directly in broadcast settings represents a significant enhancement to Spur's functionality, enabling brands to navigate the changing landscape effectively. Suggested Feature Options: New Triggers for Broadcasts: Allow users to create new triggers based on broadcast interactions—delivered, opened, or clicked (including which button was clicked). This would enable precise follow-up actions tailored to how the recipient interacted with the broadcast. Direct Follow-Up Flow Settings in Broadcasts: Provide an option within the broadcast settings to specify which follow-up flow should be triggered by certain actions (delivery, open, click). This direct integration simplifies the process, making it more intuitive for users to set up comprehensive engagement strategies. Implementing these features would allow brands to more effectively re-engage customers who have shown interest by opening a message or clicking a link but have not completed a purchase. For example, if a customer clicks a link but does not buy, they could automatically receive a follow-up message offering a discount or further information, directly encouraging a transaction. This can be done by creating a segment and running another broadcast right now, but that is not intuitive and takes effort, so brands don't do it. This approach aligns with the need for more sophisticated engagement strategies under the new WhatsApp policies, ensuring that Spur users can maximize the impact of each broadcast message while adhering to restrictions on marketing communications. Requested by Spur Founder, Royal
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Enhanced Revenue Attribution Settings
Current System: Currently, sales are attributed to Spur based solely on direct clicks from a CTA button within a message. This model may not fully capture the influence of Spur's messaging on customer decisions, especially when actions are taken outside of the direct link provided. Suggested Feature: Introduce an enhanced revenue attribution feature that allows brands to define how revenue will be attributed and to set specific attribution windows for different types of interactions (Campaigns/Broadcasts and Automation Flows). Brands should have the option to select an attribution window (e.g., 7 days) and choose an attribution type among: Click-based: Attribution for customers who purchase via the provided link. Open-based: Attribution for customers who open the message and later make a purchase, regardless of whether they clicked the link directly. Delivered-based: Attribution for messages that are delivered, assuming influence if a purchase is made thereafter. This approach acknowledges various customer journey paths, such as a customer receiving an abandoned checkout message, opening it, and then completing the purchase through their browser. It allows for a more nuanced understanding of Spur's impact on sales, enhancing the platform's value proposition to brands. This feature aims to provide brands with deeper insights into the effectiveness of their communication strategies, ensuring they have a more accurate understanding of how Spur's messaging influences customer behavior and sales outcomes. Requested by: Seven Friday
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