Precient AI channel-level dashboard shows how advertising spend on different channels contributes revenue to Shopify and Amazon stores.
In an innovative move to integrate Amazon performance metrics into broader marketing analytics, Prescient AI now offers a game-changing solution for omnichannel brands. This advancement allows brands to quickly connect their Amazon presence to the Prescient AI platform, unlocking detailed insights into how both on-platform and external advertising campaigns influence their Amazon sales. Notably, within just 30 days of adopting this technology, Catalina Crunch saw a remarkable 24% reduction in customer acquisition costs, demonstrating the powerful capabilities of Prescient AI’s new tool.
Using a unique marketing mix modeling (MMM) approach that integrates vast datasets and advanced algorithms, Prescient AI empowers brands like Catalina Crunch to attribute specific revenue portions to non-Amazon media campaigns, revealing the elusive “halo effects” of advertising. This sophisticated analysis, once a labor-intensive process involving custom models and extensive data handling, is now seamlessly managed within Prescient’s platform. Nick Osborn, Head of Growth at Catalina Crunch, highlighted the previous challenges of marketing mix modeling, praising Prescient’s system for its ease of use and ability to suggest budget adjustments for optimizing return on ad spend (ROAS).
Historically, connecting Amazon sales data to the impact of broader media campaigns has been a significant challenge for marketers, due to Amazon’s isolated reporting systems. Prescient AI’s new model addresses this by delivering an integrated view of how ad campaigns across various platforms, including Meta, Google, TikTok, and CTV, contribute to sales on Amazon.
Jimmy Marsanico, Vice President of Product at Prescient AI, noted the critical need for understanding cross-channel campaign impacts on sales, stating that resolving the “Amazon disconnect” has been a transformative development for their clients. The platform not only measures the direct impact of clicked ads but also gauges the broader halo effects of seen-but-not-clicked ads, using backtested machine learning models to predict and optimize future ad spending.
Brands leveraging Prescient AI can enjoy numerous benefits, such as unbiased performance measurements of Amazon ad campaigns, optimized ad spending across platforms, and centralized monitoring of all channel performances. This consolidation significantly enhances operational efficiency, providing marketers with up-to-date, actionable insights.
James Harbison, Incrementality Attribution Manager at Timbuk2, attests to the platform’s effectiveness, stating that Prescient AI’s insights instill confidence in their strategic decisions, marrying cost efficiency with scalability—critical factors for lean teams aiming for impactful outcomes.
Prescient AI continues to redefine the landscape of media measurement and budget optimization, delivering tailored, accurate revenue attribution and strategic campaign recommendations daily. For more information or to schedule a free demo, visit www.prescient-ai.io.
