NovaWear's Global Ad Campaigns See 40% ROAS Lift with Marble AI

NovaWear, a fast-growing sustainable activewear brand, experienced significant challenges due to rapid scaling of its global paid media campaigns across Meta, Google Ads, and Shopify-integrated funnels. Despite reaching $15 million in annual revenue and shipping to over 50 countries, the marketing team faced severe data overload and fragmentation, managing 25 active ad accounts in multiple languages.

Key pain points included:

• Fragmented Data Silos: Manual data exports from various platforms (Google Ads, Meta Business Manager, GA4) led to endless hours of spreadsheet work and a lack of real-time insights. A 15% ROAS dip in European video ads went unnoticed for two weeks, highlighting the delay.
• Creative Guesswork: Inability to pinpoint reasons for underperforming creatives (e.g., a $50,000 Meta campaign) led to wasted ad spend and ineffective strategies.
• Reporting Bottlenecks: Compiling monthly investor decks was a multi-day, labor-intensive process, resulting in dense, unreadable visuals that failed to impress stakeholders.
• Team Burnout: A lean team lacked the bandwidth for deep data dives, forcing reliance on gut instincts over strategic, data-driven decisions, consuming 30% of their time on grunt work.

To overcome their data chaos, NovaWear implemented Marble AI, an AI Agent for Performance Marketing & Creative Intelligence. Discovered through a colleague's recommendation, Marble AI offered a transformative solution by directly connecting to NovaWear’s existing platforms—Google Ads, Meta, GA4, and Shopify—via secure, real-time connectors, ensuring data privacy and compliance.
Marble AI's advanced natural language processing and proprietary frameworks allowed it to think like a top-tier marketing expert, analyzing messy metrics in seconds to surface root causes, predictive trends, and tailored recommendations. NovaWear leveraged several key features:

• Instant Insights Engine: The team could ask specific questions, such as "Why did our ROAS drop 12% last week in the UK?", and receive concise, actionable breakdowns and recommendations (e.g., segmenting audiences by device type for an 18% uplift).
• Creative Root Cause Analysis: Marble AI dissected video ads frame-by-frame, scoring elements like hook strength and call-to-action clarity. For instance, it identified that a lagging "Eco-Run Collection" campaign used muted color palettes that failed to evoke urgency, suggesting vibrant greens and user testimonials for a projected 25% engagement boost.
• Automated Reporting Suite: NovaWear could generate polished HTML reports with interactive visuals, executive summaries, and remixable expert frameworks in minutes, eliminating the need for manual spreadsheet work.
• Waste Detection & Optimization: The platform identified inefficiencies, such as underdelivering creatives, with one-click fixes and provided battle-tested frameworks for A/B testing across markets.

Implementation was seamless, with Marble AI ingesting live data streams within an hour. The team quickly progressed from simple queries to complex cross-platform performance comparisons, recognizing Marble AI as a senior analyst that not only reported metrics but prescribed actions.