Smart Landing Page auto: how Norauto reduced its bounce rate by 50% in Spain
Running Google Shopping campaigns on an automotive catalog of over 100,000 products means capturing traffic with strong purchase intent. But if this traffic lands on standard product sheets, designed for a visitor already decided, much of this intent is lost before even exploring the catalog.
In this case study, discover how Norauto, Europe’s leading automotive maintenance and equipment company, deployed Dataïads’ Smart Landing Pages in Spain to transform its Google Shopping traffic and reduce its bounce rate by 50%.
The challenge: converting exploratory Shopping traffic on a massive automotive catalog
With over 100,000 products distributed on Google Shopping (parts, maintenance products, accessories, batteries, transport equipment, tires), Norauto Spain had a powerful acquisition lever. But the existing product sheets had several limitations specific to this type of traffic:
- only one reference highlighted, with no alternative or comparable product visible;
- few pathways to other products in the category or relevant selections;
- limited and poorly accessible filters upon arrival on the page;
- poor readability, particularly on mobile, where most traffic is concentrated.
Result: a high bounce rate and diluted return on investment, even though traffic volume and purchase intent were there.
What you will discover in this case study
✅ How to build a clear and measurable proof of concept by prioritizing a strategic category (parts, maintenance, equipment) before generalizing
✅ The A/B testing methodology used in real conditions to isolate the actual impact of the solution
✅ How the recommendation algorithm works by combining semantic and visual similarity (text + image AI)
✅ Mobile-first design tailored to predominantly mobile Shopping traffic
✅ The results achieved: -50% bounce rate, +18% conversion rate, +11% revenue per user, and +40% add-to-cart rate
Why post-click experience is decisive on an automotive catalog
This case is not just about landing pages. It illustrates a reality specific to high-volume automotive catalogs: a Google Shopping visitor rarely arrives in final decision phase, they compare, hesitate, and search for the right reference, the right availability, the right price. For a player with such a large catalog, this means:
- no longer losing qualified traffic on pages designed for an already-decided visitor;
- facilitating access to key information (brand, price, availability, reviews) upon arrival on the page;
- stimulating catalog exploration without mobilizing internal technical resources;
- precisely measuring business impact before any rollout.
A challenge found in other sectors with massive catalogs and high volume: discover how Faguo reduced its bounce rate by 17% thanks to Smart Landing Pages on Google Shopping and Meta, or how Galeries Lafayette structured its product feed at scale with Feed Enrich.