Customer story · E-commerce · AI marketing engines
How Quad Lock reported 2.5× higher ROAS in two months
Category-specific AI marketing engines helped deliver more relevant product guidance, personalized messaging and confidence-building shopping experiences throughout the customer journey.
Reported ROAS reached 2.5 times its previous level.
The improvement was observed during the first two months.
The challenge
Different product categories. Different customer questions.
Quad Lock offers smartphone cases, mounts and accessories across a range of activities, from cycling and motorcycling to driving and everyday use. Customers evaluating these products can have different compatibility requirements, product questions and buying priorities.
One-size-fits-all marketing messages can leave these questions unanswered. The opportunity was to make each customer interaction more relevant, reduce uncertainty before purchase, and build confidence without losing the consistency of the brand experience.
The Scarvion approach
Specialized AI marketing engines for each shopping category
Scarvion developed a multi-engine approach organized around Quad Lock’s product categories. Instead of treating every shopper the same way, each AI marketing engine was designed to respond to the questions, intent and purchasing considerations relevant to its category.
Category-aware guidance
Provide more detailed, context-specific answers to common product questions and help customers evaluate relevant options.
Relevant messages and offers
Tailor marketing communication, product suggestions and offers to shoppers’ interests and stage in the purchase journey.
Confidence throughout the journey
Address hesitation with useful information and maintain a consistent, personalized experience from discovery through purchase.
Why it matters
From broad campaigns to meaningful customer conversations
Product relevance is central to e-commerce performance. For a store with multiple categories, a shopper considering a motorcycle mount should not have to navigate the same experience as someone shopping for a car accessory.
Scarvion’s AI marketing engines were designed to connect marketing messages with a shopper’s immediate needs. By helping answer questions, clarify options and deliver personalized communication, the approach supported a more confident buying journey.
The strategy also focused on relationships beyond a single order: useful engagement can create opportunities for repeat purchases and long-term customer value, though no separate retention or lifetime-value metric was reported for this case.
The outcome
ROAS reached 2.5 times its previous level within two months
Within the first two months of deployment, Quad Lock reported that return on advertising spend had increased to 2.5× its earlier level. The result was associated with the shift toward specialized AI marketing engines, more targeted communication and customer guidance relevant to different product categories.
The central result: 2.5× higher reported ROAS in two months, with category-specific personalization at the heart of the customer experience.
This case study reports customer-provided performance outcomes; it does not establish controlled experimental causality or guarantee equivalent outcomes for another business.
E-commerce engagement, powered by Scarvion
Make every customer interaction more relevant
Bring category-aware AI marketing, personalized messaging and intelligent customer journeys into one connected engagement platform.
Explore Scarvion for E-commerce →Browse more e-commerce case studies