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Hi AfterShip Community, Context: I run a small Shopify store (~50 orders/month) using AfterShip’s free plan to track shipments (USPS, UPS). While the free plan offers basic tracking (Web:10), there’s no way to analyze tracking page performance (e.g., visitor clicks, engagement) without upgrading to premium plans, which can be costly for small businesses (Web:18). Issue: Small merchants lack access to basic analytics on the free plan to understand how customers interact with tracking pages, limiting optimization efforts. Outcome: I propose a lightweight analytics dashboard in the free plan, showing metrics like tracking page visits and click-through rates (e.g., to return portals). This would help optimize post-purchase experiences without needing a paid plan. Beneficiaries: Small e-commerce businesses, startups, and solo entrepreneurs using the free plan would gain insights to improve customer engagement and retention. What do you think? Any similar needs or suggestions to refine this idea?

My package is currently reading that it is out for delivery in my area, but is still showing to be located in a totally different country so the tracking needs to be updated and fixed because this has been an ongoing issue that I've contacted them about for support and it's still reading the same way

Currently OTD report, reports the complete journey so the avereage time can fluctuate based on how long it takes for customers to collect their order.  We need to report on the carrier performance and then the time it takes to collect.  It would be good to have  a PUDO report that breaks down : average transit time to collection point   Average time waiting for collection    If we expand our PUDO options in Europe it would be a good indication 

When utilizing an HTML email editor, I aim to display and personalize shipment or order items within my tracking notifications.   This feature would allow shoppers to conveniently view their purchases directly in the email, thereby improving customer satisfaction.

Hi, I hope you can include a column where users can also see "WHEN" the order arrived in customs clearance and "WHEN" it was released. I am referring to ALL orders, not just the delayed orders.

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.

A notification to give the customer the opportunity to change their requested ship date. This allows wineries to change the date without re-directing.  Using the RSD and sending a notification 3 days or so before. 

Is it possible to increase the bulk search limit from 50? We often have to peform bulk search a number of times to retrieve the data that we're looking. 

As a business owner, having precise accounting records is essential for tax purposes. It's particularly important to account for returns correctly by adjusting for them and deducting the relevant taxes to prevent overpayment.   I've observed that Shopify currently only accommodates refunds, lacking store credit or exchange options for returns. Therefore, if aftership Return could support all three options and assist in reconciling taxes and producing accurate tax reports for returns, it would greatly benefit our operations.

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.