The Ultimate Guide to Pixel Affiliate Marketing: Tracking, Optimizing, and Scaling Your Campaigns
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The Ultimate Guide to Pixel Affiliate Marketing: Tracking, Optimizing, and Scaling Your Campaigns
1. Understanding the Foundation: What is Pixel Affiliate Marketing?
Let's be brutally honest from the get-go: if you're an affiliate marketer operating in this modern, hyper-competitive landscape without a deep, almost instinctual understanding of pixel affiliate marketing, you're essentially flying blind in a blizzard. I remember a time, not so long ago, when affiliate marketing felt a bit like throwing spaghetti at the wall to see what stuck. You'd set up campaigns, drive traffic, and then anxiously await a payout report, often weeks later, with little to no insight into why something converted or, more frustratingly, why it didn't. That era, thankfully, is largely behind us, and the humble pixel is the silent, powerful force that ushered in this new age of data-driven precision. It's not just a technicality; it's the very backbone of any serious, scalable affiliate strategy today, allowing us to move beyond mere guesswork to informed, strategic action.
The fundamental role of pixel affiliate marketing cannot be overstated. It transforms a nebulous activity into a measurable science. Think about it: every click, every page view, every 'add to cart,' and most importantly, every single conversion, leaves a digital fingerprint. Without a pixel, those fingerprints vanish into the ether, leaving you with incomplete data. With it, you're building a comprehensive map of user behavior, understanding the precise journey your traffic takes from initial interaction to the coveted conversion event. This intelligence is invaluable. It allows you to identify bottlenecks, pinpoint high-performing segments, and ultimately, make data-backed decisions on where to allocate your precious ad spend. It’s the difference between hoping for success and actively engineering it, providing the clarity needed to not just survive but thrive in an increasingly complex digital ecosystem.
Honestly, if you’re still relying solely on your affiliate network’s dashboard for all your data, you’re missing out on a goldmine of insights. While those dashboards are good for the ultimate conversion number, they rarely give you the granular detail about who converted, what they did before converting, and where they came from in a way that truly empowers you to optimize your own campaigns. This is where your own pixel steps in, bridging that crucial data gap. It’s about taking ownership of your data, becoming proactive rather than reactive, and gaining an unparalleled level of control over your campaigns. It’s an investment, yes, both in time and understanding, but one that pays dividends by allowing you to truly understand your audience and the efficacy of your marketing efforts.
The transition from old-school, gut-feeling marketing to this data-centric approach marked a significant shift in my own journey, and frankly, in the industry as a whole. It moved affiliate marketing from a wild west of ad-hoc tactics to a sophisticated domain demanding analytical prowess. When I first started diligently implementing pixels, the sheer volume of actionable insights was overwhelming, in the best possible way. It was like suddenly being given X-ray vision after years of stumbling in the dark. You start seeing patterns, understanding user intent, and realizing that what you thought was working was actually just scratching the surface. This fundamental understanding of how users interact with your offers is the cornerstone upon which all successful scaling strategies are built. Without it, you’re just throwing money into the wind, hoping some of it blows back.
1.1. What is an Affiliate Marketing Pixel?
So, let's cut through the jargon and get to the core: what exactly is an affiliate marketing pixel? At its heart, an affiliate marketing pixel is a tiny, often invisible, snippet of code – typically JavaScript, though historically it might have been a 1x1 GIF image – that you embed into your webpages, landing pages, or even directly into your affiliate tracking platform. Its primary mission, its sole purpose for existence, is to monitor user behavior and meticulously track conversions. Think of it as a digital spy, quietly observing and reporting back every relevant action a user takes after clicking on your affiliate link. This isn't about collecting personal identifiable information in a creepy way; it's about aggregate data that helps you understand trends and the efficacy of your marketing efforts, making the `affiliate marketing pixel definition` clear and actionable.
When we talk about `what is a tracking pixel`, we're essentially referring to this small piece of code that fires when a specific event occurs. For instance, a pixel can be configured to fire when a user lands on a particular page, signifying a page view. It can fire when they click a button, indicating engagement. Crucially for affiliates, it fires when they complete a desired action – like making a purchase, filling out a lead form, or signing up for a trial. Each time it "fires," it sends a packet of data back to your chosen tracking platform or ad network (like Facebook Ads, Google Ads, TikTok Ads, etc.). This data often includes information about the user's browser, their device, the referring URL, and sometimes even custom parameters you've defined, giving you a rich tapestry of information about their journey and interaction with your offer.
The magic truly happens when this pixel tracks conversions. This is the bread and butter for any affiliate. Imagine running a campaign for a product. A user clicks your ad, lands on your pre-sell page, then clicks through to the merchant's site, and eventually makes a purchase. Without a pixel, you'd only know you got a sale after the merchant reports it to your affiliate network. With your own pixel correctly implemented on the merchant's thank you page (or via server-to-server postback, which we'll get to), you get near real-time feedback that a conversion has occurred. This isn't just a number; it's a direct, measurable outcome of your marketing efforts, giving you a tangible return on your investment and defining the very essence of `pixel in affiliate marketing explained`. It's the ultimate feedback loop, directly connecting your traffic sources to your revenue.
This constant stream of data, facilitated by the pixel, is what enables sophisticated optimization. You can see which ads led to sales, which landing pages are converting best, and even which specific demographics are most profitable. It's like having a detailed map and compass in uncharted territory, rather than just a vague notion of where you're going. The pixel essentially "tags" a user's browser with a cookie when they first interact with your campaign. If that user then completes a conversion action, the pixel on the conversion page checks for that cookie, attributes the conversion back to your specific campaign, and sends that vital information to your tracking system. This attribution is critical for understanding your campaign's performance and is the fundamental reason why pixels are non-negotiable for serious affiliates.
Pro-Tip: Don't rely solely on the merchant's pixel. While merchants have their own tracking, having your own pixel on the conversion event (even if it's a server-to-server postback) gives you independent, unbiased data that you control. This is crucial for cross-referencing and ensuring data accuracy, and for building custom audiences for retargeting, which we'll discuss later. Your data is your power.
2. Why Pixels Are Non-Negotiable for Modern Affiliates
Let’s be blunt: in today's cutthroat affiliate landscape, operating without robust pixel tracking is akin to trying to win a Formula 1 race blindfolded. It’s not just a recommendation; it’s an absolute, unyielding requirement for anyone serious about building a sustainable, profitable affiliate business. The days of simply throwing up an offer and hoping for the best are long gone, relegated to the dusty archives of affiliate marketing history. Now, every single dollar of ad spend needs to be justified, every campaign optimized to its absolute maximum potential, and every decision backed by irrefutable data. This isn’t about being fancy; it’s about survival and, more importantly, about scaling to levels that were once only dreamed of by those who flew by the seat of their pants.
The primary reason `why affiliate marketing needs pixel tracking` boils down to one word: intelligence. Without a pixel, you have no real intelligence about your campaigns beyond what your affiliate network decides to show you, which is often a lagging indicator and lacks the granular detail you need. You're effectively outsourcing your brain to someone else's dashboard. A well-implemented pixel provides a real-time feedback loop, showing you exactly what’s happening with your traffic before a conversion is reported by the network. It allows you to see the micro-conversions – the page views, the add-to-carts, the form fills – that lead up to the ultimate sale. This insight is gold. It allows you to identify exactly where users drop off, what elements of your landing page are engaging them, and which ad creatives are driving the most qualified traffic. This isn't just about tracking sales; it's about understanding the entire user journey, enabling proactive optimization rather than reactive guesswork.
2.1. The Power of Data-Driven Decisions
This brings us directly to the immense `power of data-driven decisions in affiliate marketing`. Gone are the days when intuition and gut feelings were sufficient. Today, every significant move an affiliate makes, from choosing an ad creative to targeting a specific demographic, must be anchored in solid data. Pixels provide that anchor. They collect the raw information that, when properly analyzed, transforms into actionable insights. For example, without a pixel, you might see that Ad A generated 10 sales and Ad B generated 5. Your gut might tell you to scale Ad A. But with a pixel, you might discover that Ad A also generated 1000 clicks and 990 bounces before those 10 sales, resulting in a terrible cost per conversion. Ad B, on the other hand, might have only generated 50 clicks and 5 sales, indicating a much more efficient and profitable campaign, despite the lower raw sales number.
This granular insight allows you to make incredibly precise adjustments. You can identify which demographic segments are most responsive to a particular offer, allowing you to refine your targeting and eliminate wasteful ad spend on audiences that simply aren't converting. You can A/B test different headlines, calls to action, or even entire landing page layouts, and the pixel will tell you, with undeniable clarity, which variation performs better. This isn't just about improving conversion rates by a few percentage points; it's about compounding those improvements across every stage of your funnel, leading to exponential growth in profitability. The data doesn't lie, and it doesn't have emotions. It simply presents the facts, allowing you to objectively optimize your campaigns based on what is working, not what you hope is working.
Moreover, data-driven decisions are your shield against market volatility. Trends shift, ad platforms change their algorithms, and competition intensifies. When you have robust data from your pixels, you're not caught off guard. You can quickly spot declining performance, understand the underlying reasons, and pivot your strategy with agility. This adaptability is critical for long-term survival in affiliate marketing. I’ve personally witnessed campaigns that were once cash cows slowly bleed out because marketers failed to monitor their metrics diligently. The pixel is your early warning system, your constant companion that whispers the truth, however uncomfortable, allowing you to stay ahead of the curve. It’s about building a sustainable business model that can withstand the inevitable ebbs and flows of the digital marketing world, rather than being a flash in the pan.
Insider Note: The "Why" Behind the "What." Don't just look at the numbers; try to understand the why behind them. A high bounce rate might indicate a mismatch between your ad creative and your landing page, or perhaps slow page load times. A low conversion rate on a high-traffic page might mean your CTA isn't compelling enough. Pixels give you the what; your analytical brain needs to figure out the why to make truly impactful data-driven decisions.
2.2. Optimizing Ad Spend and Maximizing ROI
This brings us to arguably the most tangible benefit: `optimizing ad spend with pixel data` and, by extension, `maximizing ROI in affiliate campaigns`. For most affiliates, ad spend is the lifeblood of their operation. Every dollar spent on ads needs to work harder than the last, and without pixel data, you're essentially gambling with your budget. Pixels provide the intelligence required to precisely allocate your resources where they will generate the highest return. They tell you which specific ad sets, placements, keywords, or creative variations are delivering profitable conversions, and which are simply burning through your budget without a meaningful return. This level of granularity is impossible to achieve through manual tracking or broad assumptions.
Consider a scenario where you're running ads across multiple platforms – Facebook, Google, TikTok. Each platform has its own reporting, but how do you compare apples to apples? Your pixel, sending data back to a centralized tracking system (like a third-party tracker, which we'll discuss), allows you to see the true cost per acquisition (CPA) for each traffic source, campaign, and even individual ad. You might find that while Facebook ads drive a lot of clicks, Google Search ads have a significantly lower CPA for actual sales. This insight immediately tells you where to shift your budget, pulling funds from underperforming campaigns and reallocating them to those that are proving profitable. It’s a dynamic, ongoing process of refinement that constantly pushes your campaigns towards greater efficiency.
Furthermore, pixel data allows for sophisticated retargeting strategies, which are notoriously effective for `maximizing ROI in affiliate campaigns`. Imagine a user who clicks on your ad, lands on your pre-sell page, even adds a product to their cart on the merchant's site, but then abandons the purchase. Without a pixel, that potential customer is lost forever. With a pixel, you can create a custom audience of these highly engaged but unconverted users. You can then serve them targeted ads with a special offer, a reminder, or a different angle, pulling them back into the funnel and converting them at a much lower cost than acquiring a brand-new customer. This isn't just about recovering lost sales; it's about nurturing high-intent leads and converting them into profitable customers, squeezing every last drop of value from your initial ad spend.
The ability to accurately measure and attribute every conversion back to its source is the cornerstone of effective budget management. It allows you to calculate your true return on ad spend (ROAS) and identify campaigns that are net profitable versus those that are simply generating activity without generating revenue. This objective, data-driven approach removes emotion from your decision-making, ensuring that your ad budget is always working optimally. It’s about building a machine that consistently generates profit, rather than a leaky bucket that constantly drains your resources. In the end, pixel data doesn't just help you track; it empowers you to predict, optimize, and most importantly, profit.
3. Types of Pixels and How They Work
Alright, let's dive into the nitty-gritty of the different types of pixels you'll encounter in the affiliate marketing world. It’s not a one-size-fits-all situation, and understanding the nuances of each is crucial for setting up a robust, comprehensive tracking system. Think of it like having different tools in a toolbox; you wouldn't use a hammer for every job, and you wouldn't use a single type of pixel for every tracking need. Each has its specific purpose, its strengths, and sometimes, its limitations, especially when it comes to the ever-evolving landscape of privacy and browser restrictions. Getting this right is foundational to `understanding affiliate tracking pixels` and leveraging them effectively.
At a high level, we're primarily talking about two main categories: the pixels provided by advertising platforms (like Facebook, Google, TikTok) and the pixels or server-to-server (S2S) postbacks used with your own affiliate tracking solution. While they both serve the ultimate goal of tracking, their implementation and the data they collect often differ, and they work in tandem to give you a holistic view. The platform pixels are fantastic for optimizing within that specific ad platform, allowing their algorithms to learn and improve delivery. Your own tracking solution, however, provides the overarching attribution, tying everything together regardless of the traffic source, giving you an independent source of truth.
3.1. Ad Platform Pixels (Facebook, Google, TikTok, etc.)
These are perhaps the most commonly known and widely used pixels, especially for affiliates driving paid traffic. When we talk about `Facebook Pixel affiliate marketing`, `Google Ads conversion tracking`, or `TikTok Pixel setup`, we're referring to these proprietary snippets of code provided directly by the advertising giants. Their primary purpose is to help their platform optimize your ad campaigns on their platform. They allow you to feed valuable data back to the ad network, enabling their sophisticated algorithms to better understand who your ideal customer is and then find more people like them. This is where the magic of machine learning meets your ad spend.
Let's break down `Facebook Pixel affiliate marketing` as a prime example. You install the Facebook Pixel on your landing page and, ideally, on the merchant's thank-you page (if allowed and feasible, often via a server-to-server integration with your tracker). This pixel tracks standard events like 'PageView,' 'AddToCart,' 'InitiateCheckout,' and most importantly, 'Purchase.' When a user clicks your Facebook ad, lands on your pre-sell page, and then converts, the Facebook Pixel on the conversion page fires. This tells Facebook, "Hey, this user, who saw this ad, just made a purchase!" Facebook's algorithm then takes this information and uses it to refine its targeting, showing your ads to more people who are likely to convert, thereby lowering your cost per acquisition and improving your return on ad spend. It's a powerful feedback loop that gets smarter over time.
Similarly, `Google Ads conversion tracking` operates on the same principle. You place the Google Ads conversion tag on the success page of your affiliate offer. When a user completes a conversion, Google records it, attributes it to the specific keyword, ad group, or campaign that drove the click, and uses that data to optimize your bids and ad delivery. For example, if you're bidding on a broad keyword, but Google sees that only certain variations of that keyword or specific ad copy are leading to conversions, it will automatically adjust its bidding strategy to prioritize those higher-performing elements. This is absolutely critical for search campaigns, where every keyword click costs money, and precision targeting is paramount. Without this, you’re essentially running a blind auction, hoping for the best.
And let's not forget the newer players like `TikTok Pixel setup`. As TikTok has exploded as a traffic source, their pixel has become equally vital. It functions very much like Facebook's, allowing you to track user actions, create custom audiences for retargeting, and feed conversion data back to TikTok's algorithm for optimization. Each ad platform has its own pixel, designed to optimize performance within that specific ecosystem. The key takeaway here is that these pixels are incredibly powerful for leveraging the ad platforms' own machine learning capabilities, allowing you to scale campaigns efficiently by letting the platform do what it does best: find converting customers.
Pro-Tip: Standard Events vs. Custom Events. Ad platform pixels often come with a set of "standard events" (like Purchase, AddToCart, Lead). While these are great, don't shy away from using "custom events" for more specific actions relevant to your funnel (e.g., "watched 75% of video," "clicked specific button"). These custom events can provide even more granular data for optimization and audience building.
3.2. Affiliate Network Pixels vs. Your Own Tracking Pixel/S2S
This is where things can get a little confusing for beginners, but it's a critical distinction to grasp. You'll encounter two main types of tracking related to the actual affiliate commission: the `affiliate network tracking pixel` and `server-to-server (S2S) postback tracking` (often used with your own tracker). While both aim to record a commission, their implementation and the level of control they offer are vastly different.
The `affiliate network tracking pixel` is a pixel provided by the affiliate network itself, or sometimes directly by the merchant. You place this pixel on your thank you page (if you're collecting leads or running CPA offers where you control the final conversion page) or, more commonly, the merchant has this pixel on their thank you page. When a sale occurs, this pixel fires, informing the affiliate network that a conversion has taken place, and subsequently, you get credited for the commission. This is the traditional, client-side (browser-based) method of tracking commissions. The advantage is simplicity; you just paste the code. The disadvantage is that it relies on the user's browser, which can be susceptible to ad blockers, cookie deletion, and browser privacy features (like ITP on Safari or ETP on Firefox) that limit cookie lifespan or block third-party cookies altogether, leading to potential tracking discrepancies or lost commissions.
Now, let's talk about `server-to-server (S2S) postback tracking`, which is the superior and more reliable method for tracking actual commissions, especially when used in conjunction with your own affiliate tracker. Instead of relying on a pixel firing in the user's browser, S2S tracking works by passing a unique identifier (often called a `click ID` or `sub ID`) from your tracking platform to the affiliate network when a user clicks your affiliate link. When a conversion occurs on the merchant's side, the affiliate network then sends a notification (a "postback") back to your tracking platform, containing that same unique `click ID`. This postback happens server-to-server, meaning it bypasses the user's browser entirely.
Here's how it generally works:
- User Clicks: User clicks your ad, which redirects through your tracking platform.
- Click ID Generated: Your tracker generates a unique `click ID` and stores it.
- Click ID Passed: Your tracker redirects the user to the affiliate network, appending the `click ID` to the affiliate link (e.g., `&subid={clickid}`).
- Network Stores Click ID: The affiliate network records this `click ID` alongside the user's session.
- User Converts: User lands on the merchant's site and makes a purchase.
- Network Fires Postback: The affiliate network's system sees the conversion, looks up the associated `click ID`, and sends a postback URL (a specific URL provided by your tracker) back to your tracker, including that `click ID`.
- Your Tracker Records Conversion: Your tracker receives the postback, matches the `click ID` to the initial click, and records the conversion, attributing it correctly to your campaign.
4. Setting Up Your Tracking Infrastructure
Alright, so you understand why pixels are crucial, and you've got a handle on the different types. Now comes the practical part: `setting up your affiliate tracking infrastructure`. This isn't just about slapping a pixel onto a page; it's about building a robust, resilient system that accurately captures data, attributes conversions, and empowers you to make informed decisions. Think of it as constructing the nervous system for your affiliate business – it needs to be interconnected, responsive, and reliable. Skimping here is a classic rookie mistake that leads to lost data, inaccurate reporting, and ultimately, wasted ad spend.
The core of your tracking infrastructure will typically involve two main components: your own dedicated tracking platform (often a third-party solution) and the various ad platform pixels you'll be deploying. While it might seem like a lot of moving parts, once it's set up correctly, it largely runs on autopilot, providing you with invaluable insights. The goal is to have a centralized hub where all your data converges, allowing you to compare performance across different traffic sources, offers, and campaigns without having to jump between a dozen different dashboards. This centralized control is what separates the professional affiliate from the hobbyist.
4.1. Choosing an Affiliate Tracking Platform
This is perhaps one of the most critical decisions you'll make in your tracking journey: `choosing an affiliate tracking platform`. There are numerous options out there, ranging from relatively simple, self-hosted solutions to powerful, cloud-based enterprise-level systems. Your choice will largely depend on your budget, your technical comfort level, and the scale of your operations. However, for any serious affiliate, investing in a dedicated tracker is non-negotiable. It acts as the central brain of your entire operation, collecting data from all your traffic sources, managing campaigns, and attributing conversions with precision.
When evaluating `affiliate tracking platform options`, consider a few key features. Firstly, it must support `server-to-server (S2S) postback tracking` with affiliate networks. This is your insurance policy against lost conversions due to browser limitations. Secondly, it needs to offer robust campaign management features, allowing you to easily create campaigns, add offers, and manage multiple traffic sources. Thirdly, reporting and analytics are paramount. Can it slice and dice your data in meaningful ways? Does it offer real-time reporting? Can you customize your dashboards to see the metrics that matter most to you? Fourthly, integration capabilities are crucial – can it easily integrate with major ad platforms (Facebook, Google, TikTok) to pass conversion data back to them for optimization?
Some popular and highly recommended `affiliate tracking platform options` include:
- Voluum: A cloud-based, industry-standard tracker known for its robust features, real-time reporting, and excellent support for complex campaigns. It's often considered a premium choice, and for good reason.
- Binom: A self-hosted tracker (meaning you install it on your own server) that offers incredible speed and powerful analytics at a potentially lower monthly cost if you manage your server well. Requires a bit more technical expertise.
- RedTrack: Another strong cloud-based contender, offering a good balance of features, ease of use, and integrations, often at a competitive price point.
- ThriveTracker: A solid cloud-based option with a good reputation for reliability and comprehensive features, particularly strong for those running various types of campaigns.
4.2. Integrating Ad Platform Pixels with Your Tracker
Once you've chosen your main affiliate tracking platform, the next step is `integrating ad platform pixels with your tracker`. This is where you create a harmonious symphony between your traffic source's optimization algorithms and your own independent tracking system. The goal is two-fold: to send conversion data back to the ad platform so their AI can optimize your campaigns, and to record the full user journey and final conversion within your tracker for comprehensive attribution and analysis. This synchronization is what allows you to truly scale.
The general process for `integrating ad platform pixels` typically involves:
- Placing the Base Pixel: You'll place the base code of your ad platform pixel (e.g., Facebook base pixel, Google global site tag) on all your pre-sell pages or landing pages. This allows the ad platform to track page views, user demographics, and build retargeting audiences.
- Setting Up Conversion Events: This is the crucial part. Instead of placing the ad platform's conversion pixel directly on the merchant's thank-you page (which is often not possible or reliable), you'll configure your affiliate tracker to fire the ad platform's conversion event via a server-to-server postback.
- Postback to Ad Platform: When your tracker receives an S2S postback from the affiliate network confirming a sale, your tracker will then, in turn, send a separate S2S postback or a server-side API call to the ad platform (e.g., Facebook Conversions API, Google Enhanced Conversions). This tells the ad platform, "Hey, a conversion just happened, and here's the click ID (or other unique identifier) from when they clicked your ad."
You'll need to configure your tracker to recognize the `click ID` (or unique identifier) from each ad platform. For example, Facebook uses `fbclid` or a unique event ID, Google uses `gclid`, and TikTok uses `ttclid`. Your tracker captures these IDs when the user clicks your ad, stores them, and then uses them to correctly attribute the conversion when it sends the data back to the respective ad platform. This might sound complex, but most modern affiliate trackers have straightforward guides and integrations for all major ad platforms, making `setting up pixel tracking for affiliates` much more manageable. The key is to ensure that your tracker is passing the correct unique identifiers back and forth, creating a seamless and accurate flow of data across your entire funnel.
5. Implementing Pixels: Step-by-Step
Alright, let's get our hands dirty. Understanding the theory is one thing, but actually `implementing affiliate tracking pixels` is where the rubber meets the road. This section will walk you through the practical steps, ensuring you set up your tracking system correctly from the ground up. Remember, precision is key here; a misplaced character or an incorrect parameter can lead to lost data and, consequently, lost profits. So, pay close attention to the details, and don't be afraid to double-check your work. This systematic approach is what will ensure your data is clean, actionable, and reliable.
The process often involves a dance between your landing page, your affiliate tracker, the affiliate network, and the ad platforms. It might seem like a lot of moving parts, but by breaking it down into manageable steps, you'll see that it's a logical and repeatable process. The goal is to create a seamless flow of information, from the initial ad click all the way through to the final conversion, ensuring every significant event is recorded and attributed correctly. This meticulous setup is the foundation upon which all your future optimization and scaling efforts will rest.
5.1. Placing Pixels on Your Landing Pages
This is the first point of contact for your tracking system, and `placing pixels on landing pages` correctly is critical for gathering initial user data. Your landing page (or pre-sell page) is where you’ll typically install the base code of your ad platform pixels, as well as any tracking scripts from your dedicated affiliate tracker. This ensures that as soon as a user arrives from your ad, their visit is logged, and cookies are set, allowing for subsequent tracking and retargeting.
Here's a step-by-step guide for `installing tracking pixels on landing pages`:
- Get Your Base Pixel Code:
- Place the Base Pixel in Your Landing Page's `<head>` Section:
- Add Your Affiliate Tracker's Click URL/Script:
