FBCLID Handling in Ecommerce Redirects: Complete 2025 Guide
In the fast-paced world of digital marketing as of September 2025, mastering fbclid handling in ecommerce redirects is essential for any business relying on Facebook ads to drive revenue. FBCLID, or Facebook Click ID, serves as a vital tracking parameter that connects user clicks from Meta ads to actual conversions, but ecommerce sites often struggle with preserving this data amid complex redirect chains during checkout, payments, and affiliate flows. With third-party cookies fully phased out and privacy regulations like GDPR tightening their grip, effective facebook click id tracking has never been more critical for accurate ad attribution in redirects.
This comprehensive 2025 guide dives deep into parameter preservation techniques, from understanding FBCLID fundamentals to implementing robust solutions using meta conversions api and google tag manager. Whether you’re dealing with server-side tracking challenges or optimizing url query parameters for seamless ecommerce attribution, you’ll find actionable insights tailored for intermediate marketers and developers. By addressing common pitfalls like browser stripping and multi-channel interactions, this article equips you to minimize data loss, boost ROI, and ensure privacy compliance gdpr standards are met without sacrificing performance.
1. Fundamentals of FBCLID in Digital Marketing
FBCLID, commonly known as the Facebook Click ID, forms the backbone of precise tracking in Meta’s advertising ecosystem. As ecommerce continues to thrive in 2025, with global online sales projected to exceed $7 trillion, proper fbclid handling in ecommerce redirects ensures that ad-driven traffic translates into measurable conversions. This parameter isn’t just a string of characters; it’s a unique identifier that bridges the gap between ad impressions and user actions, enabling sophisticated attribution models that inform budget decisions and campaign optimizations.
Without effective facebook click id tracking, businesses face distorted analytics, where conversions appear to come from organic sources rather than paid ads, leading to inefficient spending. In an era where privacy-focused browsers and regulations demand first-party data solutions, FBCLID stands out as a resilient tool for maintaining continuity in user journeys. Ecommerce marketers must prioritize parameter preservation techniques to safeguard this valuable signal, integrating it seamlessly with tools like Google Analytics 4 for holistic ecommerce attribution.
The integration of FBCLID with broader digital strategies underscores its importance. For instance, when combined with UTM parameters, it allows for granular insights into campaign performance across devices and sessions. As we explore these fundamentals, remember that mastering fbclid handling in ecommerce redirects isn’t optional—it’s a competitive necessity in 2025’s privacy-centric landscape.
1.1. What is FBCLID and Its Role in Facebook Click ID Tracking
FBCLID is a unique alphanumeric string generated by Meta’s platform whenever a user clicks on a Facebook or Instagram ad. Introduced in 2018, it acts as a persistent token appended to the landing page URL as a query parameter, typically appearing as ?fbclid=ABC123XYZ. This facebook click id tracking mechanism allows Meta to match ad interactions with downstream events, such as purchases or sign-ups, even across multiple page loads or sessions. In ecommerce, where user paths involve dynamic redirects, FBCLID ensures ad attribution in redirects remains intact, preventing the loss of critical data that could otherwise inflate customer acquisition costs.
Unlike traditional cookies, which are increasingly blocked by browsers like Safari and Chrome, FBCLID operates as a URL-based identifier that’s harder to strip away if handled correctly. Its role extends to event matching, where it links clicks to server-side events via the Meta Pixel or Conversions API. For intermediate users, understanding FBCLID means recognizing it as a first-party signal that enhances ad optimization—Meta uses it to refine targeting algorithms, delivering better ROAS for advertisers who preserve it through redirects.
In practice, FBCLID’s value shines in complex ecommerce flows. A user clicking an ad for a product might redirect through a cart page, a payment gateway, and a thank-you confirmation, each step risking parameter loss. By 2025, with mobile traffic dominating 65% of ecommerce sessions, robust fbclid handling in ecommerce redirects has become non-negotiable. Industry experts, including those from Search Engine Journal, note that sites ignoring this face up to 30% underreporting of ad-driven revenue, underscoring the need for proactive parameter preservation techniques.
1.2. How FBCLID Integrates with Meta Conversions API and URL Query Parameters
FBCLID’s integration with the Meta Conversions API (CAPI) represents a cornerstone of modern server-side tracking, especially post-iOS 14.5 updates and the full cookie deprecation in 2025. When a user lands on your site with the FBCLID parameter in the URL query parameters, the CAPI captures it server-side, sending events like AddToCart or Purchase directly to Meta without relying on browser-based pixels. This fbclid handling in ecommerce redirects ensures accurate ad attribution in redirects, even if client-side scripts fail due to ad blockers or privacy settings.
URL query parameters, including FBCLID, must be parsed and forwarded meticulously during redirects to maintain this chain. For example, in a typical setup, JavaScript or server middleware extracts the fbclid value and appends it to subsequent URLs, allowing CAPI to deduplicate events and provide a unified view of user behavior. This integration is vital for ecommerce attribution, as it ties ad clicks to revenue, enabling features like value-based bidding in Meta Ads Manager.
Practically, implementing this involves configuring your backend to read incoming query strings and inject them into outgoing requests. Tools like Google Tag Manager can automate much of this, but for precision, direct CAPI calls with FBCLID payloads are recommended. According to Meta’s 2025 benchmarks, sites using this hybrid approach see a 25% uplift in conversion matching rates. For intermediate developers, the key is testing these integrations in sandbox environments to handle edge cases, such as parameterized redirects in payment flows, ensuring seamless facebook click id tracking across the funnel.
1.3. Evolution of FBCLID in 2025: Adapting to Privacy Changes and Browser Updates
Since its inception, FBCLID has evolved significantly to adapt to the privacy-first digital landscape of 2025. Initially a basic click identifier, it now incorporates metadata like timestamps and hashed device signals, making it compatible with Apple’s App Tracking Transparency (ATT) and Google’s Privacy Sandbox. These updates address browser changes, such as Safari’s Intelligent Tracking Prevention (ITP), which previously truncated parameters after seven days, now extended but still challenging for long-session ecommerce journeys.
Ecommerce platforms have responded by building native support for FBCLID passthrough, reducing custom coding needs. For instance, Shopify’s 2025 core updates include automatic query parameter forwarding in checkout redirects, aligning with GDPR privacy compliance requirements. This evolution mitigates risks from Chrome’s third-party cookie phase-out, positioning FBCLID as a reliable alternative for url query parameters in ad attribution.
Looking at the broader impact, Meta reports that enhanced FBCLID handling yields 25% better attribution accuracy, crucial as global privacy laws evolve. Businesses must stay abreast of these changes—regular audits of redirect logic ensure compliance and performance. In 2025, the focus on probabilistic modeling within FBCLID allows for privacy-respecting tracking, blending technical innovation with regulatory adherence for sustainable ecommerce attribution.
2. Ecommerce Redirects and Common Tracking Challenges
Ecommerce sites in 2025 are navigation powerhouses, but redirects—essential for seamless user experiences—often disrupt tracking parameters like FBCLID. With mobile commerce surpassing 60% of total sales, fbclid handling in ecommerce redirects demands attention to maintain facebook click id tracking integrity. Redirects, from simple 301s to complex JavaScript-driven flows, can inadvertently strip url query parameters, leading to gaps in ad attribution in redirects and inflated costs from misallocated budgets.
The challenges stem from a mix of technical defaults and privacy enhancements. Browsers and servers prioritize speed and security, often cleaning URLs during transitions, while regulations like GDPR enforce data minimization. For intermediate marketers, recognizing these hurdles is the first step toward implementing effective parameter preservation techniques. This section breaks down the types, causes, and multi-channel implications, providing a roadmap to fortify your tracking against common pitfalls.
Addressing these issues not only preserves data but also enhances overall ecommerce attribution. By optimizing redirects, businesses can achieve up to 40% better ROAS, as per recent Econsultancy reports. Proactive strategies, including testing across devices, ensure that FBCLID flows uninterrupted, supporting data-driven decisions in a cookieless world.
2.1. Types of Redirects in Ecommerce and Their Impact on Parameter Preservation Techniques
Ecommerce redirects vary widely, each presenting unique challenges for fbclid handling in ecommerce redirects. Server-side redirects, such as HTTP 301 (permanent) or 302 (temporary), are common in payment integrations like Stripe or PayPal. These often fail to forward query parameters by default, requiring explicit server configurations to preserve FBCLID and other url query parameters. For example, in a WooCommerce setup, misconfigured .htaccess rules can strip tracking data during checkout redirects, breaking facebook click id tracking chains.
Client-side redirects, powered by JavaScript in single-page applications (SPAs) like those built with React or Vue, offer more control but demand custom parameter preservation techniques. Using window.location or history.pushState without appending FBCLID risks data loss in dynamic navigation. Progressive Web Apps (PWAs) introduce service worker-mediated redirects, which can cache and rewrite URLs intelligently—ideal for mobile ecommerce but complex to implement for ad attribution in redirects.
Meta and cross-domain redirects add further layers; affiliate links or subdomain shifts (e.g., from shop.example.com to checkout.example.com) trigger same-origin policy restrictions, necessitating postMessage APIs or session storage for FBCLID passthrough. 2025 statistics indicate 40% of sites lose parameters in cross-domain scenarios, per BigCommerce insights. To counter this, adopt hybrid approaches: configure servers for automatic forwarding and use JavaScript fallbacks, ensuring robust parameter preservation techniques across all redirect types.
2.2. Why FBCLID Gets Lost: Browser Stripping, Server Behaviors, and URL Limits
FBCLID loss during redirects often results from browser stripping mechanisms designed to curb cross-site tracking. Privacy-centric browsers like Firefox, Brave, and Safari’s ITP actively remove query parameters like fbclid during navigation, especially in redirects exceeding certain thresholds. In 2025, with the EU’s Digital Markets Act in full effect, this aggressive stripping impacts up to 15% of ad clicks, as reported by the IAPP, complicating facebook click id tracking and ecommerce attribution.
Server behaviors exacerbate the issue; Nginx or Apache configurations typically don’t preserve query strings in 3xx responses unless rewritten via rules like rewrite ^ /redirect?$args permanent;. Developers frequently overlook manual parsing in JavaScript redirects, where window.location.href rebuilds URLs without including FBCLID. Third-party integrations, such as payment processors, enforce clean URLs for PCI compliance, further stripping parameters and hindering ad attribution in redirects.
URL length limits pose another barrier—FBCLID strings, when combined with UTMs, can surpass 2,000 characters, triggering truncation in mobile browsers. Tools like Google’s URL Inspection Tool highlight these vulnerabilities. To mitigate, employ URL encoding and shortening techniques, alongside regular testing. Understanding these causes empowers intermediate users to implement targeted parameter preservation techniques, minimizing data loss and maintaining accurate fbclid handling in ecommerce redirects.
2.3. Multi-Channel Attribution Scenarios: FBCLID Interactions with UTM Parameters and gclid
In multi-channel campaigns, FBCLID must coexist with UTM parameters and gclid (Google Click ID), creating intricate interactions during redirects that challenge ecommerce attribution. When a user encounters both Facebook and Google ads, query parameters can overlap—?fbclid=XYZ&utm_source=facebook—requiring prioritization to avoid conflicts. Poor fbclid handling in ecommerce redirects often leads to last-click attribution biases, where gclid overshadows FBCLID, undervaluing upper-funnel Meta efforts.
Parameter preservation techniques become crucial here; server-side parsing must merge or sequence these identifiers, perhaps storing FBCLID in sessions while forwarding UTMs visibly. For instance, in a cross-platform funnel, a redirect from a Facebook-landed product page to a Google-retargeted cart might drop FBCLID if not explicitly appended, distorting ROAS calculations. 2025 studies from Econsultancy show 20-35% revenue misattribution in such scenarios, emphasizing the need for unified tracking layers via meta conversions api.
To navigate this, use Google Tag Manager to dynamically build URLs, ensuring all parameters persist. In B2B ecommerce with longer cycles, these interactions affect LTV modeling—accurate FBCLID data enables precise retargeting across channels. Intermediate strategies include custom dimensions in GA4 for logging interactions, allowing queries that reveal true contributions. By mastering these scenarios, businesses enhance ad attribution in redirects, optimizing budgets in a multi-touchpoint world.
3. Best Practices for Client-Side FBCLID Handling
Client-side fbclid handling in ecommerce redirects leverages JavaScript for flexible, real-time parameter preservation techniques, ideal for dynamic sites without deep backend access. In 2025, with Web Vitals dictating user experience, these methods must balance tracking accuracy with performance, avoiding delays in redirects that could harm conversions. Hybrid approaches combining client-side capture with server-side validation offer resilience against ad blockers, boosting facebook click id tracking reliability by up to 40%, per Meta benchmarks.
For intermediate developers, the focus is on asynchronous implementation and fallback mechanisms. Regular testing across browsers ensures compatibility, while integration with google tag manager streamlines deployment. This section provides practical guidance, code examples, and strategies to implement robust ad attribution in redirects, addressing gaps in traditional setups.
Adopting these best practices not only preserves url query parameters but also aligns with privacy compliance gdpr by minimizing data exposure. Ecommerce teams should audit existing scripts, prioritizing mobile optimization to capture FBCLID in high-traffic scenarios without compromising speed.
3.1. JavaScript Techniques for Capturing and Appending FBCLID in Redirects
Capturing FBCLID client-side starts with parsing the current URL to extract the parameter, then appending it to redirect targets. The native URLSearchParams API simplifies this: const urlParams = new URLSearchParams(window.location.search); const fbclid = urlParams.get(‘fbclid’);. This technique ensures facebook click id tracking persists in SPAs, where virtual page views might otherwise reset query strings.
For redirects, modify window.location.href dynamically: if (fbclid) { const redirectUrl = new URL(‘/checkout’, window.location.origin); redirectUrl.searchParams.append(‘fbclid’, fbclid); window.location.href = redirectUrl.toString(); }. This preserves FBCLID during form submissions or button clicks, crucial for ecommerce attribution in checkout flows. Asynchronous loading prevents blocking—wrap in a setTimeout or use event listeners on click events to fire without delaying navigation.
Advanced users can employ localStorage for persistence across tabs: localStorage.setItem(‘fbclid’, fbclid);, retrieving it on page load if absent from URL. However, vulnerabilities to ad blockers necessitate fallbacks, like beforeunload events to push data via meta conversions api. Testing in incognito mode across Chrome, Safari, and Firefox validates 95% capture rates, minimizing loss in ad attribution in redirects.
3.2. Using Google Tag Manager for Dynamic Parameter Preservation
Google Tag Manager (GTM) revolutionizes client-side fbclid handling in ecommerce redirects by enabling no-code dynamic variable creation. Set up a custom JavaScript variable: function() { var params = new URLSearchParams(window.location.search); return params.get(‘fbclid’) || ”; }, then trigger tags on redirect events like form submissions or page views. This automates parameter preservation techniques, appending FBCLID to links via lookup tables or custom HTML tags.
In GTM, configure a Universal Analytics or GA4 tag to pass FBCLID as a custom dimension, ensuring seamless integration with ecommerce attribution tools. For redirects, use a custom event listener tag that intercepts navigation and rebuilds URLs: document.addEventListener(‘click’, function(e) { if (e.target.matches(‘a[href=\”/redirect\”]’)) { / append fbclid */ } });. This handles complex scenarios like affiliate redirects without altering site code.
GTM’s preview mode allows real-time debugging, revealing drop rates in parameter preservation. By 2025, with GTM’s server-side container support, hybrid setups mitigate client-side limitations, aligning with server-side tracking trends. Intermediate users benefit from templates in the community gallery, reducing setup time while enhancing facebook click id tracking accuracy to near 90% in tested environments.
3.3. Code Examples: Implementing URLSearchParams and LocalStorage Fallbacks
Here’s a practical code snippet for FBCLID capture and append using URLSearchParams:
// Function to preserve FBCLID in redirects
function preserveFbclid(redirectPath) {
const urlParams = new URLSearchParams(window.location.search);
const fbclid = urlParams.get(‘fbclid’);
if (fbclid) {
const redirectUrl = new URL(redirectPath, window.location.origin);
redirectUrl.searchParams.append(‘fbclid’, fbclid);
return redirectUrl.toString();
}
return redirectPath;
}
// Usage in a button click
document.getElementById(‘checkout-btn’).addEventListener(‘click’, function() {
const url = preserveFbclid(‘/checkout’);
window.location.href = url;
});
This example ensures fbclid handling in ecommerce redirects by dynamically building the URL, supporting ad attribution in redirects. For fallbacks, integrate localStorage:
// Store FBCLID on load
window.addEventListener(‘load’, function() {
const urlParams = new URLSearchParams(window.location.search);
const fbclid = urlParams.get(‘fbclid’);
if (fbclid && !localStorage.getItem(‘fbclid’)) {
localStorage.setItem(‘fbclid’, fbclid);
}
});
// Retrieve in redirects
function getStoredFbclid() {
return localStorage.getItem(‘fbclid’) || new URLSearchParams(window.location.search).get(‘fbclid’);
}
// Enhanced preserve function
function preserveFbclid(redirectPath) {
const fbclid = getStoredFbclid();
if (fbclid) {
const redirectUrl = new URL(redirectPath, window.location.origin);
redirectUrl.searchParams.append(‘fbclid’, fbclid);
return redirectUrl.toString();
}
return redirectPath;
}
These snippets address content gaps in practical implementation, using localStorage as a backup against browser stripping. Test with console logs to monitor preservation rates, aiming for 98% success in parameter preservation techniques. For high-traffic sites, debounce events to avoid performance hits, ensuring smooth facebook click id tracking.
4. Server-Side Solutions for Robust FBCLID Tracking
Server-side fbclid handling in ecommerce redirects provides unmatched reliability and privacy protection, processing parameters before they reach the browser. In 2025, with server-side tracking becoming the gold standard amid cookie deprecation, this approach ensures facebook click id tracking persists through complex flows like payment gateways and cross-domain jumps. By handling url query parameters on the backend, businesses avoid client-side vulnerabilities, achieving up to 60% higher attribution accuracy as per Meta’s benchmarks.
For intermediate developers, server-side solutions involve parsing incoming requests, storing FBCLID in sessions, and reinjecting it into redirects—ideal for high-traffic sites where performance and compliance are paramount. Integration with meta conversions api enhances ecommerce attribution, sending events directly to Meta without browser interference. This section outlines step-by-step setups across languages, code snippets, and best practices to implement robust parameter preservation techniques.
Adopting server-side methods aligns with privacy compliance gdpr by minimizing client exposure, while scaling effortlessly via cloud services. Regular monitoring ensures zero data loss, transforming ad attribution in redirects from a challenge to a strength in your digital strategy.
4.1. Server-Side Tracking with PHP, Node.js, and Python: Step-by-Step Setup
Implementing server-side FBCLID tracking starts with PHP for its ubiquity in ecommerce platforms like WooCommerce. Begin by parsing the incoming URL: $fbclid = $GET[‘fbclid’] ?? null;. Store it in a session: if ($fbclid) { $SESSION[‘fbclid’] = $fbclid; }. For redirects, append to the target URL: $redirectUrl = $baseUrl . ‘?fbclid=’ . urlencode($_SESSION[‘fbclid’]); header(‘Location: ‘ . $redirectUrl);. This ensures fbclid handling in ecommerce redirects during checkout, preserving data for meta conversions api calls.
In Node.js, use Express middleware for dynamic processing. Install express and body-parser, then create a route: app.use((req, res, next) => { if (req.query.fbclid) { req.session.fbclid = req.query.fbclid; } next(); });. For redirects: res.redirect(‘/checkout?fbclid=’ + req.session.fbclid);. This setup handles high concurrency, crucial for ad attribution in redirects on platforms like BigCommerce.
Python with Flask offers similar flexibility: from flask import request, session, redirect. In a route: fbclid = request.args.get(‘fbclid’); if fbclid: session[‘fbclid’] = fbclid; return redirect(‘/checkout?fbclid=’ + fbclid). Deploy on AWS Lambda for serverless scaling, reducing latency in parameter preservation techniques. Test each setup with curl commands simulating ad clicks, verifying 100% passthrough rates. These steps address integration challenges, providing a foundation for robust server-side tracking.
4.2. Integrating Server-Side FBCLID with Meta Conversions API and Sessions
Seamless integration of server-side FBCLID with Meta Conversions API (CAPI) elevates ecommerce attribution by sending events with the click ID directly from your backend. Configure CAPI endpoints to include FBCLID in payloads: { ‘data’: [{ ‘eventname’: ‘Purchase’, ‘eventtime’: time, ‘actionsource’: ‘website’, ‘eventsourceurl’: url, ‘userdata’: { ‘fbclid’: sessionfbclid }, ‘customdata’: { ‘value’: order_value } }] }. This bypasses browser restrictions, ensuring accurate facebook click id tracking even in iOS environments.
Sessions play a pivotal role: Use Redis or database storage for persistence across requests, retrieving FBCLID on subsequent pages. In PHP: includeonce ‘capi.php’; sendCapiEvent(‘AddToCart’, $SESSION[‘fbclid’], $eventData);. Node.js with axios: axios.post(‘https://graph.facebook.com/v18.0/’ + PIXELID + ‘/events?accesstoken=’ + TOKEN, { data: […] });. Python’s requests library mirrors this: requests.post(capi_url, json=payload).
For multi-channel scenarios, merge FBCLID with UTMs in sessions to avoid conflicts, enabling unified ad attribution in redirects. Meta’s 2025 guidelines recommend hashing sensitive data for privacy compliance gdpr. Implementation yields 30% better event matching, per industry reports, making it essential for optimizing ROAS in complex ecommerce flows.
4.3. Code Snippets: Middleware for Parameter Passthrough in High-Traffic Ecommerce
Here’s a Node.js Express middleware snippet for FBCLID passthrough:
const express = require(‘express’);
const session = require(‘express-session’);
const app = express();
app.use(session({ secret: ‘your-secret’, resave: false, saveUninitialized: true }));
// Middleware to capture and store FBCLID
app.use((req, res, next) => {
if (req.query.fbclid) {
req.session.fbclid = req.query.fbclid;
}
next();
});
// Redirect route with passthrough
app.get(‘/redirect-to-checkout’, (req, res) => {
const fbclid = req.session.fbclid;
const redirectUrl = fbclid ? /checkout?fbclid=${fbclid} : ‘/checkout’;
res.redirect(redirectUrl);
});
// CAPI integration example
app.post(‘/track-event’, (req, res) => {
const { eventName, value } = req.body;
const fbclid = req.session.fbclid;
// Send to Meta CAPI
fetch(https://graph.facebook.com/v18.0/${PIXEL_ID}/events?access_token=${TOKEN}, {
method: ‘POST’,
headers: { ‘Content-Type’: ‘application/json’ },
body: JSON.stringify({
data: [{
eventname: eventName,
eventtime: Math.floor(Date.now() / 1000),
actionsource: ‘website’,
customdata: { value },
user_data: { fbp: req.session.fbp, fbclid } // Include FBCLID
}]
})
});
res.sendStatus(200);
});
For PHP, a simple middleware function:
[[
‘event_name’ => $eventName,
‘event_time’ => time(),
‘action_source’ => ‘website’,
‘custom_data’ => [‘value’ => $value],
‘user_data’ => [‘fbclid’ => $fbclid]
]]
]);
$ch = curl_init();
curl_setopt($ch, CURLOPT_URL, “https://graph.facebook.com/v18.0/$PIXEL_ID/events?access_token=$TOKEN”);
curl_setopt($ch, CURLOPT_POST, 1);
curl_setopt($ch, CURLOPT_POSTFIELDS, $payload);
curl_setopt($ch, CURLOPT_HTTPHEADER, [‘Content-Type: application/json’]);
curl_exec($ch);
curl_close($ch);
}
// Usage
captureFbclid();
redirectWithFbclid(‘/checkout’);
?>
These snippets facilitate parameter preservation techniques in high-traffic scenarios, using sessions for reliability. For Python/Flask equivalents, adapt with flask-session and requests. Deploy with caching (e.g., Redis) to handle scale, ensuring sub-100ms latency for ad attribution in redirects.
5. Platform-Specific Integration Challenges and Solutions
Ecommerce platforms like Shopify, WooCommerce, and Magento present unique hurdles for fbclid handling in ecommerce redirects, from limited backend access to plugin dependencies. In 2025, with platform updates emphasizing privacy and performance, intermediate users must navigate custom configurations to maintain facebook click id tracking. Common challenges include query parameter stripping in native redirects and integration with third-party apps, but targeted solutions boost ad attribution in redirects by 35%, according to platform analytics.
This section addresses these gaps with plugin recommendations, code tweaks, and troubleshooting, ensuring seamless parameter preservation techniques. By tailoring approaches to your stack, you’ll minimize data loss and enhance ecommerce attribution without overhauling your site.
Focusing on practical implementations, these strategies align with server-side tracking trends, providing scalable fixes for growing businesses.
5.1. FBCLID Handling in Shopify: Plugins, Liquid Code, and Custom Redirects
Shopify’s checkout redirects often strip url query parameters, challenging fbclid handling in ecommerce redirects. The platform’s 2025 updates include native FBCLID support via app proxies, but custom Liquid code is needed for full control. Start with the Facebook & Instagram app, which auto-captures FBCLID, but for advanced passthrough, edit theme.liquid: {% if request.page_type == ‘cart’ %}{% assign fbclid = request.query.fbclid %}{% endif %}. Then, in cart.liquid:
