As measurement complexity continues to challenge digital marketers, AI-powered unified measurement is emerging as a critical capability for eCommerce and direct-to-consumer brands seeking sustainable growth. At CES, Slingwave officially introduced its AI-native unified measurement platform, designed to help brands make confident, data-driven media investment decisions across an increasingly fragmented landscape.
With global eCommerce sales projected to reach $6.42 trillion in 2025, marketers face mounting pressure to prove incremental impact while navigating inconsistent and siloed performance signals from individual ad platforms. Slingwave’s platform addresses this challenge by combining Bayesian MMM+, agile attribution, experimentation, and an AI intelligence layer that runs millions of scenarios to recommend optimal spend strategies. The system continuously learns from every campaign, enabling insights to compound over time.
“Every ad platform grades its own homework. The question is what’s actually driving results. We built a system that answers that: a compounding intelligence platform that gets smarter the longer you use it,” said Paul Boruta, Founder and CEO of Slingwave. “We are already seeing 20–50%+ improvement in campaign performance, and expect those gains to accelerate as our models improve with additional data.”
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Unlike legacy marketing mix modeling or incrementality testing solutions that are often costly and slow to deploy, Slingwave positions its AI-powered unified measurement platform as both accessible and adaptive. The system enables brands and agencies to answer strategic and tactical questions, from understanding DTC halo effects on Amazon to making near real-time budget reallocations across channels.
Early adopters point to tangible business outcomes. Michelle Platt, Co-Founder of Jam Pack’d Jams, said Slingwave played a foundational role in the brand’s Shopify launch and helped identify high-performing audiences on Meta, leading to increased conversions. As the brand expanded into Amazon and influencer marketing, Slingwave’s insights continued to guide smarter investment decisions.
Similarly, Diego Nunez, CEO of Twelve South, credited the platform with driving year-over-year performance gains across Amazon and DTC channels. He noted that Slingwave’s insights enabled the brand to increase upper-funnel investment while sharpening mid- and lower-funnel execution, improving efficiency and category competitiveness.
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To support brands at different stages of maturity, Slingwave offers three tiers: Diagnostic, Core, and Pro. Diagnostic provides rapid incrementality insights across major platforms including Amazon, Google, Meta, and TikTok. Core expands into always-on MMM+, experimentation, and optimization scenarios, while Pro delivers advanced cross-channel halo analysis and predictive spend curves spanning DTC, retail, and wholesale environments.
All tiers are powered by Slingwave’s proprietary AI layer, refined over eight years and enriched with external variables and brand-specific data. For eCommerce leaders navigating tighter budgets and rising accountability, Slingwave’s AI-powered unified measurement approach signals a shift toward clearer, more defensible marketing decisions. As the demand for transparency and performance intensifies, platforms like Slingwave are reshaping how modern brands measure, optimize, and scale growth.
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