This post was written in collaboration with Jason Zollan, Head of Retail Media at Constructor.
Optimized search and product discovery remains one of the most powerful and often underestimated drivers of Retail Media performance.
Retail Media Networks (RMNs) succeed or fail based on when and where ads appear. Unlike traditional Retail Media approaches that treat sponsored products as a separate system layered on top of ecommerce, AI-native Retail Media solutions integrate advertising directly into the shopper experience.
Constructor approaches Retail Media differently by starting where shopper intent is strongest: search, product discovery, and browsing behavior.
As the product discovery engine powering organic results for many of the world’s largest retailers, Constructor has access to real-time clickstream data, behavioral signals, and intent patterns that most RMNs simply don’t see. That foundation allows Retail Media to be optimized not in isolation, but as part of the same decisioning engine that already determines what products shoppers are most likely to engage with and purchase. More importantly, this decisioning engine always keeps the retailer’s primary business metric front and center.
Retailers implement Retail Media in different ways, and their technology stacks should reflect that reality.
Constructor supports both:
What both approaches share is the same core advantage: Constructor’s reasoning engine uses behavioral and conversion data to interpret context, intent, and product relationships, continually making real-time judgments about which products to show. This means going beyond choosing relevant products to prioritizing the products most likely to inspire and convert the user at hand.
In the context of Retail Media, rather than forcing sponsored products to compete blindly with organic results, Constructor’s underpinnings evaluate all eligible products together — organic and sponsored — to dynamically determine the optimal mix for each shopper, in each context, across each session.
This unified optimization allows the system to deliver a more sophisticated algorithm that doesn’t just prioritize CPC bids. Instead, it evaluates:
The result is sponsored placements that appear only when they improve outcomes. This improvement will benefit shoppers, advertisers, and retailers alike.
Whether Retail Media is powered fully by Constructor or enhanced through its modern mediation layer, this approach consistently leads to higher conversion rates, stronger advertiser performance, and sustainable long-term revenue growth without sacrificing trust or the shopper experience.
Strategic ad placement is critical, but visibility alone does not guarantee performance. High-impact placements often include:
However, optimal placement should be data-driven rather than hardcoded.
AI-driven Retail Media platforms continuously learn where sponsored content performs best without detracting from the shopping experience. Instead of assuming the same placement works for every shopper, modern systems adapt in real time based on behavior, intent, and context.
This enables retailers to:
When ad placement decisions are informed by the same intelligence and standards that power organic discovery, Retail Media becomes a natural extension of the shopping journey rather than a jarring interruption for the shopper.
Retail Media is not a set-it-and-forget-it revenue stream. The most successful programs are built on continuous learning and iteration.
Advanced analytics that provide transparency allow retailers to:
Ongoing optimization includes:
This level of transparency strengthens advertiser relationships while giving retailers the confidence to scale Retail Media responsibly.
Retail Media success increasingly depends on working with technology partners who understand both commerce and media, and how the two intersect.
AI-powered sponsored products ensure ads are:
A shopper-first approach protects the network's long-term health by ensuring monetization never comes at the expense of trust or usability.
And because these systems are built on machine learning and real-time behavioral data, ad placements continuously improve as the platform learns, delivering better outcomes for retailers and advertisers over time.
Retail Media has matured rapidly, but its most effective strategies still rely on a simple truth: the best, most effective ads feel like excellent product discovery. When done well, the user may not even be able to tell the two apart.
By integrating Retail Media directly into search, browse, recommendations, and beyond, while optimizing both together, retailers unlock a powerful, scalable revenue engine that enhances performance across the entire ecommerce experience.
Optimized search and product discovery isn’t just complementary to Retail Media. It’s the unified engine that makes it work.