Advertising intelligence startup Scowtt has secured $12 million in Series A funding as it moves to redefine performance marketing with predictive AI models that run on advertisers’ own first-party CRM data. The round was led by Inspired Capital, with additional participation from LiveRamp Ventures, Angeles Investors and Angeles Ventures.
Founded in 2024, Scowtt sits at the center of a rapidly shifting $300 billion performance marketing landscape, where marketers must increasingly rely on durable, privacy-safe data as cookies fade into obsolescence. The company’s technology uses first-party CRM signals to generate predictive, real-time conversion likelihood models — a marked break from the proxy-based optimization used by major advertising platforms.
Chief Executive and Founder Eduardo Indacochea, who spent nearly two decades building ad systems at Meta, Google, and Microsoft, said current advertising platforms “optimize for the success of the network, not the advertiser.” He added, “We built Scowtt to bridge that gap. Our predictive AI unlocks the true value of first-party data, enabling performance that simply wasn’t possible before.”
Demonstrated Performance Gains Across Brands
Enterprise customers are already reporting substantial improvements. LaserAway recorded a 59% jump in Purchase ROAS after integrating Scowtt’s predictive models. Advanced Hair Restoration saw ROAS climb 64%, while a major Education advertiser boosted ROAS by 38% after tapping CRM lifecycle data for enrollment propensity modeling.
Unlike tools that require new platforms or operational change, Scowtt’s system activates passively across search, social and media channels, enhancing performance without disrupting workflows.
Investor Confidence in AI-Driven Marketing Infrastructure
“The Scowtt team represents the absolute best of enterprise advertising technology,” said Lucy Deland, General Partner at Inspired Capital. “They understand both the architecture of modern ad platforms and the structural challenges advertisers face. We believe Scowtt is the next generation of adtech.”
Scowtt’s long-term vision extends beyond optimization: the company aims to build a closed-loop growth operating system where AI not only predicts conversions but also autonomously executes components of sales and marketing workflows.
Editorial Perspective: Why Scowtt’s Approach Signals a New Era in Advertising Efficiency
The most compelling aspect of Scowtt’s model is its shift from retrospective, platform-driven signals to advertiser-owned predictive intelligence. As the advertising world enters a privacy-centric, post-cookie phase, the companies that build around first-party data will define the next wave of efficient growth. Scowtt is positioning itself at this inflection point.
Moreover, the platform’s passive integration strategy — improving outcomes without changing advertiser processes — is a significant differentiator. Many AI-driven marketing tools require disruptive overhaul; Scowtt’s approach results in faster adoption and immediate impact, something enterprise teams have long demanded.
The background of Founder and CEO Eduardo Indacochea also adds credibility. Having built core systems at Meta, Google, and Microsoft, he understands both the potential and the limits of platform-centric advertising. Scowtt’s architecture, which elevates advertiser data rather than platform-owned signals, represents a structural shift that could materially change ROI expectations for enterprise marketers.
If Scowtt continues on this path, it may redefine how large advertisers manage performance, autonomy, and cost efficiency in the next decade of digital media.
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