Link tracking for ecommerce means connecting a click on a bio link or story swipe-up to an actual order in your store, and the honest answer is that no link tracker does this alone. It captures the click. Your storefront platform has to close the loop on the sale. Understanding that division is the difference between attribution that holds up under scrutiny and a dashboard that looks convincing but is quietly wrong.
why click counts and revenue are two different problems
A link tracker sees exactly one thing: a person clicked a link it served, and it can report the referrer, the UTM parameters attached, and roughly where that click came from geographically. What it cannot see is what happens after that person lands on your site and the tracker's own domain is no longer in the picture. Visitor tracking tools generally stop at the edge of the page they are embedded on, and a link tracker's visibility ends the moment the redirect completes and the visitor is sitting on your own storefront instead. That is a structural limit built into how the web works, not a product gap any vendor is choosing to leave open, and any tool that implies it can see straight through to a completed Shopify checkout from outside your store without deeper integration is overstating what is technically possible.
This is exactly why analytics numbers never match between your link tracker, your Shopify dashboard, and whatever social platform's own insights panel you are also glancing at that week. Each one is measuring a different boundary of the same customer journey, and none of them is lying to you. They are simply counting different things at different points and were never going to agree down to the unit.
how to actually track social traffic to shopify
The mechanism that works is UTM passthrough, not pixel magic. A link tracker generates a link with UTM parameters attached, the visitor clicks it, the tracker logs that click with full referrer and geo detail, and then the redirect lands the visitor on your Shopify store with those same UTM parameters still sitting in the URL. Shopify's own analytics, and any order-attribution app layered on top of it, can then read those parameters at checkout and tie the completed order back to the campaign that originally sent the traffic. The link tracker's job stops at the click. Shopify's job is matching the UTM string to the order that follows. Both halves have to work correctly for the final number to mean anything at all.
This is also where a common assumption trips people up badly. A per-link tracking pixel firing on the redirect page, feeding straight into an ad platform, feels like it should be the more direct signal of the two. But a pixel firing on a redirect page only confirms the click happened, which the UTM string already told you, and it still cannot see the purchase event happening on a separate domain a few clicks later unless that same pixel is also correctly wired into your Shopify checkout itself, which is a Shopify-side integration and not something a link tracker's redirect page adds on its own. Treat per-link pixel firing and ecommerce attribution as two separate claims, because a tool can genuinely offer the first while quietly not delivering the second.
ecommerce attribution: first touch, last touch, and why you need both
A customer who discovers you from a TikTok video, leaves, comes back three days later from an email, and buys, generates two different attribution stories depending on which cookie gets read. First-touch attribution credits the TikTok video for starting the relationship. Last-touch credits the email for closing it. Neither one is the correct answer on its own, and a store that only tracks one of the two ends up either overspending on top-of-funnel content that never gets credit for the sales it eventually causes downstream, or overcrediting a cheap retargeting email that only worked because something upstream already did the harder work of creating interest in the first place.
Running both cookies side by side, rather than picking one attribution model and living with its blind spot, is the practical fix here. It does not require picking a winner between first and last touch. It requires seeing both numbers at once, then applying judgment about which channels are doing the discovery work and which are doing the closing work in a given campaign.
tracking sales from social media without guessing
The practical setup for a store running Instagram, TikTok, and a bio link page looks like this. Every platform gets its own tagged link with a UTM source matching the platform name, built through a consistent tagging workflow so campaign and content variants do not collide with each other once the reporting gets busy. Each link gets a first-touch and last-touch cookie captured on click, and geo data attached so a store can see whether a particular city or country is converting well on a specific campaign versus just clicking without buying. QR codes on packaging inserts or in-store signage get the same tagged-link treatment, since a scan should show up in the same report as a digital click rather than living in a separate silo nobody remembers to check. From there, the UTM string does the actual attribution work once it lands on Shopify, and the link tracker's dashboard becomes the click-side half of a two-part report instead of pretending to be the whole story on its own.
comparing the options for ecommerce link tracking
| capability | Raydar | Dub | Bitly | plain Shopify UTM links |
|---|---|---|---|---|
| link-in-bio page with multiple product links | yes | no, redirect-only by default | no | no |
| first-touch and last-touch cookies | yes | partial | click-level only | no, UTM only |
| direct revenue rollup per link via store webhook | no | yes, on paid plans | no | no |
| geo detail on clicks | country and city | country and city | country level | no |
| QR codes with the same link included in analytics | yes | yes | yes | no |
| visitor identification before checkout | yes, ip-hash based | no | no | no |
| free tier, no card required | yes | yes | yes | yes, it is free |
where raydar fits for a store owner
Raydar earns its place for a store running most of its traffic through Instagram and TikTok bio links, where the store needs one page holding several product links, a QR code for packaging, and click-level detail with both attribution windows captured, all before that traffic lands on Shopify and Shopify's own reporting takes over from there. The workflow it supports is specifically this handoff: tag the click cleanly through the UTM builder, hand off the parameter string intact, and let Shopify close the loop on its own side.
when a different tool wins for ecommerce specifically
A store that wants a single dashboard showing revenue rolled up per link, without manually cross-referencing a link tracker's click report against a separate Shopify order export every week, should look at Dub instead. Dub's paid tiers connect directly to commerce webhooks and can attribute completed orders back to individual short links inside its own dashboard, which closes a gap Raydar does not close today and is not pretending to. If the operational cost of manually joining click data to order data by hand is the actual pain point for a store, rather than the richness of the click-side data itself, that direct revenue rollup is worth paying for on its own merits. This is a real and specific case where the other tool does something Raydar structurally does not attempt to do.
the bottom line for ecommerce link tracking
No link tracker outside your store can see a completed sale by itself, no matter how the dashboard is styled to imply otherwise. The tools that handle ecommerce attribution well are the ones that get UTM data cleanly onto your storefront and hand off cleanly from there, either through your store's native reporting or through a direct revenue integration if that specific piece of automation matters more to you than the depth of the click-side data upstream of it. Pick based on which half of that handoff is currently costing you the most time each week, not based on which dashboard looks the most complete sitting on its own.