C Squared Social Triples Media Team, Betting on AI to Master Meta's New Ad Landscape

CARLSBAD, CA – May 01, 2026 – In a decisive move to navigate the seismic shifts in digital advertising, C Squared Social announced it has tripled its media buying division and launched a new systems-driven performance engine. The expansion is a direct and strategic response to the rollout of Meta's "Andromeda" update, a powerful AI system that is fundamentally reshaping how billions of ads are delivered across its platforms.

The Carlsbad-based digital marketing agency's initiative, which began in September 2025, represents a significant bet on a future where success in advertising is defined not by manual campaign tweaks, but by the ability to architect intelligent systems that work in concert with platform algorithms. This transformation highlights a broader industry reckoning as agencies and advertisers scramble to adapt to an era where artificial intelligence is the new gatekeeper of performance.

The Andromeda Effect: Creative Becomes the New Targeting

Meta's Andromeda update is more than an incremental change; it is a complete overhaul of the ad delivery engine. Moving away from legacy rules-based systems, Andromeda leverages deep neural networks and advanced hardware to analyze millions of potential ads in real-time. The primary impact for advertisers is a profound pivot from audience-first targeting to a creative-first optimization model.

For years, marketers relied on granular targeting—demographics, interests, and lookalike audiences—to find customers. Andromeda's AI, however, thrives on broader audiences, using its own vast dataset to match the most effective ad creative with the right user at the right moment. This has given rise to a new industry mantra: "creative is the new targeting." The platform's algorithm now performs the heavy lifting of finding the audience, but only if it is fed a diverse and high-volume diet of compelling creative assets.

This shift rewards advertisers who can produce a variety of themes, messages, and visuals, allowing the AI to test and learn what resonates. According to Meta, the new system has already resulted in an 8% improvement in ad quality for users and a 22% increase in Return on Ad Spend (ROAS) for advertisers who have adapted to its Advantage+ automation suite. For agencies, this means the old playbook is obsolete. The competitive advantage no longer lies in who can click the buttons in Ads Manager best, but in who can build the most sophisticated data and creative feedback loops to empower the AI.

Architecting Performance in the Algorithmic Era

Anticipating this paradigm shift, C Squared Social began its transformation well ahead of the market. The initiative, led by Director of Paid Media Jason Appleton, was designed to rebuild the agency's capabilities from the ground up.

"The Andromeda update marks a real shift in performance marketing," said Jason Appleton, who brings over 14 years of international experience to the role. "The future belongs to teams that can architect performance, not just manage campaigns. Manual optimization still has a place, but the real leverage now comes from how you structure data, shape signals, connect creative to performance, and build systems that help platforms learn faster and scale more efficiently. That's what we've been building over the past six months."

This philosophy represents a move away from reactive campaign management toward a proactive, systems-driven model. It involves creating centralized data pipelines, advanced creative testing frameworks, and automated budget allocation strategies that are designed to feed and guide platform AI, rather than fight against it.

"This investment is ultimately about delivering stronger, more predictable outcomes for our clients," said Cassidy Crail, Co-Founder of C Squared Social. "As platforms become more automated, success depends on how well you integrate data, creative, and strategy into a cohesive system. By expanding our team and building deeper technical capabilities, we're giving our clients a meaningful advantage."

The New Marketing Dream Team: Data, Engineering, and Strategy

The expansion of the agency's media buying division is not just about adding more people; it's about adding new and different skill sets. The composition of the expanded team underscores the evolving talent profile required to succeed in modern advertising.

The team now blends senior media buying expertise with deep technical capabilities. It includes senior media strategists like Jorge Flores, who specializes in scaling high-volume campaigns, and performance marketers like Victor Villeda, an expert in KPI-driven optimization. But critically, the team also features Zachary Alcantara, a data leader specializing in machine learning and marketing mix modeling, and Jim Wright, a senior data engineer responsible for building proprietary tools and automation frameworks.

This hybrid team structure reflects an industry-wide trend where the lines between marketing, data science, and software engineering are blurring. To effectively leverage platforms like Andromeda, agencies must now be able to not only devise creative strategies but also build the data infrastructure and analytical models to measure and optimize them at scale. The "marketing technologist"—a professional fluent in both marketing strategy and technical execution—is no longer a niche role but a central figure in high-performance teams.

Turning Data into Direction with Proprietary Intelligence

Central to C Squared Social's transformation is a significant investment in its proprietary intelligence platform. The company is clear that this is not another reporting dashboard that shows what happened yesterday, but an "operational intelligence engine" designed to guide what should happen next.

The platform integrates data from all channels into a unified system, using machine learning models for forecasting and segmentation. It’s built to analyze signals across accounts, budgets, and performance outcomes in real time, translating that complexity into clear, actionable direction for the media buying team. This enables them to identify risks, spot opportunities, and execute with greater speed and precision.

"This is about turning data into direction," said Caleb Crail, Co-Founder. "Most agencies are still reacting to performance after the fact. We're building systems that help us act in real time, with clarity and confidence."

This proactive stance was a deliberate choice made long before the Andromeda update became a public focal point. The agency's leadership bet that as platforms like Meta and Google poured billions into AI and automation, the key to differentiation would shift from manual execution to strategic oversight and systems architecture.

"With platforms becoming more automated, the competitive advantage is shifting to teams that can interpret data, structure inputs, and build systems around the algorithm," added Caleb Crail. "We made that investment early, and this team is the result."