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I'd like to log an enhancement request for the Tracking page editor. Currently the section where we add social media connectors is limited in connection options. Specifically for Instagram (which is a really cool feature) the only way to connect is using our own credentials (user name/password login). This is an unacceptable option as it exposes us to being hacked and is a security concern obviously. The better way to do this is via Instagram's API connection: https://developers.facebook.com/docs/instagram-platform. Can you please log that as a high priority enhancement request? Should we decided to stay with AfterShip, this will be a critical branding requirement.

When using the mobile App, currently shipments remain visible in the tracking list even after they have been delivered. Over time, this can make the main tracking screen feel cluttered, especially for users who receive a large number of packages. It would be very helpful to have an option to: - Archive delivered shipments manually, or - Automatically move delivered shipments to an archive after a certain period of time. This would allow users to keep their active tracking list clean and focused on packages that are still in transit, while still retaining access to past deliveries when needed.   Thank you,

It would be really useful to see how often the Gift Tracking Page is actually being used, separately from the regular tracking page. At the moment, it’s hard to tell uptake or performance unless the page has a unique URL or rely on Google Analytics. Having native reporting in AfterShip would make this much easier. Ideally this would show: - Views and unique visitors for the gift tracking page - How it compares to the standard tracking page - Basic engagement (e.g. CTA clicks) This would help merchants understand adoption and value of the gifting feature much more clearly.

We use this to ship to clients it would be nice if we could save clients within the system to send notifications to. 

For instance, customers can quickly locate reviews based on size, incorporate images and videos, consider age, product characteristics, and the reviewer's recommendation status.

On the tracking dashboard customers/users need to be able to click to grab, then drag and drop the order we desire our packages to be in.

So, as a seller who often runs campaigns, I would love to have a cool discount setup that can be customized based on how customers behave.   For example, I could keep discounts hidden for shoppers with shopping carts over $1,000 but display them for those who have smaller carts, so that they would shop more to get a better discount.   This strategy can be effectively applied to our product recommendations, enhancing conversion rates and boosting average order values.

We are a worldwide dropshipping service catering to e-commerce entrepreneurs. Merchants can design and market personalized products through us, setting prices and choosing their sales platforms from our integrated e-commerce options.   Once merchants place orders, we will handle the manufacturing, fulfillment, and shipping logistics to consumers.   When I am using Aftership for tracking, I want to enable my premium customers (merchants) with the ability to customize white label branded tracking pages and possibly an API to create them (since they won't have access to Aftership admin, and it would be impossible for me to maintain all tracking pages for them).   So that I can add this ability as part of the product & service package for my main customers (merchants), which creates more value for my business.

The “Back” button on the RC portal is not obvious or prominent enough. It is too hard to find and blends into the page. 

I work in the furniture industry with thousands of products and continuous new product listings.   Consumers often inquire about variations in materials and sizes between similar pieces of furniture, placing a significant burden on my support team. Generating comparison pages for every query we receive is unfeasible due to the volume of requests.   Given the potential of AI to suggest comparable items, could it also be leveraged to pinpoint disparities among products and present these distinctions to consumers? Such a system can alleviate my workload significantly and potentially reduce bounce rates as well.