A Seattle-based startup promising to revolutionize how advertisers optimize paid campaigns has secured $12 million in Series A funding, positioning itself at the intersection of artificial intelligence and privacy-focused marketing.
Scowtt, founded in 2024, raised the capital in a round led by New York venture firm Inspired Capital. The company has developed technology that analyzes first-party customer relationship management data to predict conversion likelihood and customer value, then feeds those insights to advertising platforms as enhanced targeting signals.
The approach allows advertisers to improve return on ad spend and conversion rates without abandoning their existing marketing technology stack, addressing a key adoption barrier that has hindered previous optimization solutions.
Founder and CEO Eduardo Indacochea said the 10-person company has reached $3.2 million in annual recurring revenue despite operating for less than two years. This financial performance suggests strong product-market fit among enterprise advertisers seeking better ways to leverage their customer data.
“The market is moving rapidly toward first-party data as privacy regulations eliminate traditional tracking methods,” Indacochea explained. “Companies are sitting on valuable customer intelligence in their CRM systems but struggle to translate that into better advertising performance.”
Scowtt’s platform goes beyond simple analytics by using artificial intelligence to interact with prospects and schedule sales calls. The company envisions expanding from ad optimization into a comprehensive “operating system for growth” that bridges the traditional divide between marketing and sales teams.
The startup targets enterprise advertisers that depend on lead generation and performance-driven models across search and social media platforms. These organizations typically invest heavily in paid campaigns to generate qualified prospects but face increasing challenges as third-party cookies disappear and privacy rules proliferate.
Indacochea brings substantial industry credentials to the venture. He spent more than 13 years at Microsoft before taking leadership positions at Google and most recently Meta, where he served as vice president in advertising. His tenure at major advertising platforms provides insider perspective on where current systems fall short.
Abhishek Priya, Scowtt’s head of engineering, previously served as director of engineering at Everlaw and worked as an engineering manager at Meta. Eric Schwartz, chief revenue officer, held executive positions at Scibids Technology and MiQ, bringing deep experience in advertising technology sales.
The Series A round included participation from LiveRamp Ventures, Angeles Investors, and Angeles Ventures. Combined with a $1 million pre-seed round raised last year, Scowtt has raised $13 million total.
The timing of Scowtt’s emergence reflects two powerful industry forces converging. Privacy regulations including Europe’s General Data Protection Regulation and California’s Consumer Privacy Act have accelerated the demise of third-party tracking cookies that advertisers relied on for decades. Simultaneously, artificial intelligence capabilities have advanced to the point where predictive models can extract meaningful patterns from first-party data.
U.S. internet advertising revenue grew nearly 15 percent in 2024 to $258.6 billion, according to industry data. Analysts expect continued growth in 2025 as advertisers shift budgets toward digital channels and seek more sophisticated optimization tools.
CRM systems contain rich information about customer behavior, purchase history, engagement patterns, and lifetime value. However, most organizations struggle to activate this data effectively in advertising campaigns. Marketing teams typically run campaigns based on platform data while valuable customer intelligence remains siloed in sales and customer service systems.
Scowtt’s prediction algorithms analyze historical CRM data to identify characteristics of high-value customers and prospects most likely to convert. The platform then translates these insights into signals that advertising platforms can incorporate into their targeting and bidding algorithms.
This enhanced signal approach improves campaign performance without requiring advertisers to replace existing tools or rebuild workflows. Marketing teams continue using familiar platforms like Google Ads or Meta’s advertising tools while benefiting from more intelligent optimization driven by their own customer data.
The AI-powered prospect interaction capability extends Scowtt’s value beyond pure analytics. By automating initial conversations and appointment scheduling, the platform reduces friction in converting advertising-generated leads into qualified sales opportunities.
The company’s longer-term vision of connecting marketing and sales through CRM intelligence addresses persistent organizational challenges. These departments often operate independently despite shared responsibility for customer acquisition and revenue generation. Marketing generates leads without visibility into which sources produce valuable customers, while sales teams lack context about prospects’ digital engagement.
Enterprise advertisers in sectors like business-to-business software, financial services, and education represent Scowtt’s initial target market. These organizations typically maintain sophisticated CRM systems, invest heavily in lead generation campaigns, and possess the budget to adopt advanced marketing technology.
Lead generation models, where advertisers pay to acquire contact information from potential customers, account for substantial digital advertising spending. Companies in these sectors constantly seek better ways to identify and reach high-quality prospects while minimizing wasted spend on low-intent audiences.
The $12 million Series A provides capital to expand Scowtt’s team, enhance product capabilities, and accelerate customer acquisition. The company will likely invest in engineering talent to refine its AI models, sales staff to reach enterprise customers, and customer success resources to ensure clients extract maximum value.
Inspired Capital’s lead investment signals conviction in Scowtt’s approach to solving advertiser challenges in an increasingly privacy-conscious environment. The firm’s portfolio includes companies at the intersection of data, AI, and enterprise software, suggesting Scowtt fits their investment thesis.
