This post was written in collaboration with Polina Egubova, Data Analyst, Data Science Integrations Team at Constructor.
Sometimes, the smallest tweaks in user interface (UI) design can lead to unexpected and dramatic changes in user behavior. This is precisely what happened when one of our customers, a large Australian retailer, implemented a well-intentioned labeling system for 18+ products. What seemed like a straightforward compliance update ended up skewing site analytics, boosting obscure products to the top of search results, and reshaping customer engagement patterns. This case study explores how a simple UI decision led to unintentional clickbait and the lessons learned from the experience.
What Was the Intended Change & Why?
In an effort to comply with Australian regulations, our customer implemented a labeling system across their entire catalog to indicate whether an item was 18+ restricted or not. As part of this process, images for products deemed 18+ were blurred on Product Listing Pages, requiring users to click on them to reveal the content. This approach was meant to protect consumers and meet legal requirements.
How Did They Know Something Was Off?
Here’s where things took an unexpected turn: the retailer noticed that their ranking had changed significantly, and items that were previously not popular suddenly appeared at the top. For example, with sunglasses, this became particularly noticeable. They started investigating which items were now at the top and saw that they were all blurred items.
Strange search results
Users began clicking on these blurred items out of sheer curiosity to see what made them restricted. Instead of naturally popular items receiving the most engagement, the blurred products started accumulating disproportionate clicks, simply because they were obscured.
This led to an unintended consequence: search rankings and product visibility were being heavily influenced by the blurred status rather than actual customer demand. Items that had previously been unpopular were suddenly appearing at the top of search results, distorting site analytics and misleading both the retailer and shoppers.
These unusual search placements raised red flags, prompting the retailer to investigate what was causing the sudden change. This pattern stood out enough for them to reach out to the team at Constructor to determine what was going on.
Upon investigation, we discovered that blurred items were receiving an unexpectedly high number of clicks from users eager to uncover the mystery behind their classification. This click surge led the system to misinterpret these products as highly engaging, boosting them in rankings artificially.
What Was the Root Cause?
The issue was traced back to inaccurate labeling. A significant number of non-restricted products had been mistakenly marked as 18+, creating a large pool of falsely blurred items.
Imagine you’re searching for something related to golf, and suddenly you see blurred 18+ items. Curious? Well, users were curious too, so they started clicking. But in reality, these were just Volkswagen Golf car parts that had been mistakenly labeled as 18+.
The result? A distorted view of user behavior, inflated engagement metrics, and an unintentional "gamification" of curiosity-driven clicks.
Key Takeaways
This case study serves as a cautionary tale about how even minor UI changes can have significant, unintended consequences. Small tweaks in product visibility, filtering, and labeling can directly impact user behavior and site analytics in unexpected ways.
Lessons Learned:
- A/B test everything when making UX/UI changes to assess real-world impacts before rolling out updates site-wide
- Manually audit algorithm-generated labels to catch errors before they influence search rankings
- Conduct spot-checks on a random sample of items (e.g., 50 products) to ensure categorization accuracy and avoid unintended behavioral shifts
By taking a proactive approach to UI adjustments and algorithmic decisions, retailers can prevent subtle yet disruptive changes from distorting engagement metrics and customer experiences.
