Do your campaigns focus exclusively on “Add to cart” or “Inquiry form submission”? If your website has an average conversion rate of 2%, that means 98 out of 100 people won’t buy from you. The question is: what exactly are the other 98% of visitors—the ones you paid for out of your ad budget—doing?
If you only measure completed sales and ignore this “non-sales” data, your campaigns are flying blind and you’re literally throwing money out the window. In 2026, with AI running the ad platforms, the quality and volume of your data is your biggest weapon. Today, let’s look at why your campaigns feel expensive and how micro-conversions help you get the most out of every single euro.
What are the other 98% of visitors doing?
The traditional view of web analytics is black and white: either someone bought or they didn’t. But today this approach is extremely shortsighted. The customer journey stopped being a straight line long ago.
Picture a brick-and-mortar store. When a customer walks in, you don’t just watch whether they head straight to the checkout. You notice whether they look at the window display, try on shoes, or ask the salesperson for details. These are all signals of strong interest. It’s the same online. If those 98% of people haven’t bought from you (yet), it doesn’t mean the traffic was wasted. But you need to start measuring their in-between steps.
The hidden steps to a purchase
Micro-conversions are small, specific actions a user takes on your site that signal growing interest in your product or service. They’re the steps that come before the main (macro) conversion.
The strongest micro-conversions in 2026 include:
- Scroll depth: The customer read more than 50% or 75% of your long article or sales page.
- Video views: The user played your testimonial or how-to video and watched at least half of it.
- Element interactions: The customer expanded the FAQ section to study the details or opened the size chart.
- Downloads: A click to download a B2B price list, a case study, or a product data sheet.
These actions tell you clearly: “This person is genuinely interested; they just need more time or more information.”
Why AI needs data volume
Why is this so critical right now? Ad platforms like Google Ads and Meta Ads run on machine learning. These algorithms are like hungry beasts—to find you the ideal customer, they need huge amounts of data to learn from.
If your B2B website generates 2 big inquiries a day, you’re sending the algorithm just 2 data points. AI can’t learn anything from two points. The system stays stuck in learning mode, starts fumbling around, and your cost per conversion skyrockets.
But if, on top of those 2 big conversions, you also send it 100 micro-conversions (for example, people who downloaded your price list and watched your whole video), the algorithm suddenly sees a clear pattern. It gets enough “food” to understand what kind of people show deep interest—and starts finding you more people exactly like them.
Practical tracking with Google Tag Manager
Setting up micro-conversions doesn’t require recoding your entire website. Your best friend here is the free Google Tag Manager (GTM).
With GTM, you can set up so-called “triggers” without any programming. You can tell the system:
- When a user scrolls to 75% of the page, send the “Scroll_75” event to Google Analytics and the Meta Pixel.
- When a user clicks a button with the “download-pricelist” class, send the “Pricelist_Downloaded” event.
You then import these events into your ad platforms. In Google Ads, you can set them up as “secondary conversions” (they help the algorithm understand context, but your primary budget isn’t optimized for them directly), and on Facebook you can build high-quality retargeting audiences from these people. Instead of retargeting everyone who landed on your site by accident, you show your ad only to people who read your article for at least a minute.
Your website is a process, not just a checkout
Change the way you look at analytics. Your website isn’t just a pickup counter and a checkout. It’s a process users gradually move through. The better you map that process and the more small signals you capture, the more precise the data you hand over to the AI that runs your campaigns today. Once you start rewarding algorithms for bringing in engaged people, completed sales will follow as a logical, natural byproduct.
Are your campaigns expensive and your algorithms stuck in learning mode? If you send ad platforms too little data, they can’t find you quality customers, and you just burn your budget on the wrong people.
Frequently asked questions (FAQ)
1. Won’t Google’s algorithm start optimizing for cheap “clickers” if I add micro-conversions?
This is a very common concern and a real risk if you set it up wrong. That’s why it’s critical to set micro-conversions in Google Ads strictly as “Secondary” (observation only). This means Google sees them, learns from them, and collects data about the profile of these people, but doesn’t optimize your Smart Bidding directly for them. Your primary conversion must always be the actual purchase or submitted inquiry (ideally connected to value-based bidding, which we wrote about last time).
2. Do I need a developer to set up these actions in GTM?
In most cases, no. Google Tag Manager has built-in triggers for common actions such as scroll depth, YouTube video tracking, or the visibility of a specific element on the screen (Element Visibility). A reasonably tech-savvy marketer can set it up. You’ll only need a developer if your website has complex technical solutions (e.g., forms that don’t redirect to a “Thank you” page) where data has to be pushed through the data layer.
3. Do micro-conversions make sense for online stores too, or only for B2B websites?
They absolutely make sense for e-commerce too! A customer in an online store goes through a whole series of micro-conversions: searching for a product with the site’s search bar, viewing a product page, clicking through to reviews, expanding the product’s ingredients, adding it to a wishlist. This data is a gold mine for your email marketing and social media remarketing.
