C Squared Social triples media‑buying team to ride Meta’s AI-driven Andromeda update, announcing a strategic expansion that reshapes how performance marketers orchestrate data, creative, and automation across paid social, search and programmatic channels.
On May 1, 2026, the Carlsbad‑based agency disclosed that it has added six senior specialists to its media‑buying division, effectively tripling the size of the team that manages hundreds of millions of dollars in ad spend. The move follows Meta’s rollout of the Andromeda update, a platform‑wide shift toward AI‑guided ad delivery and creative‑first optimization. Director of Paid Media Jason Appleton framed the expansion as a proactive response to the new algorithmic paradigm, emphasizing that “the future belongs to teams that can architect performance, not just manage campaigns.”
Building a systems‑driven media engine
C Squared Social’s growth is not limited to headcount; the firm is also rolling out a proprietary intelligence platform that centralizes data pipelines, real‑time reporting, and machine learning models for forecasting, segmentation and bid optimization. The platform’s architecture mirrors the emerging “systems‑driven” model championed by leading ad‑tech vendors, where raw data is transformed into prescriptive actions before campaigns go live. Features such as automated budget allocation, cross‑channel attribution and incremental lift analysis aim to reduce the latency between insight and execution—a critical advantage as Meta’s AI increasingly automates placement and creative testing.
How the new platform stacks up against rivals
While the market is crowded with off‑the‑shelf solutions from Google Marketing Platform, Adobe Advertising Cloud and The Trade Desk, C Squared Social’s approach differentiates itself through deep integration of first‑party data and a bespoke creative testing framework. Competitors typically offer modular analytics that sit atop existing media stacks, but C Squared’s platform acts as an operational intelligence hub, continuously ingesting signals from campaigns, budgets and pacing to generate real‑time recommendations. According to a Gartner 2024 forecast, 70 % of global ad spend will be programmatic ads by 2025, and firms that embed AI at the core of media operations are projected to achieve up to 15 % higher ROAS than those relying on manual optimization.
Implications for enterprise marketers
For large brands and agencies, the expansion signals a shift from reactive performance monitoring to proactive, data‑driven media planning. Enterprise marketing teams that adopt C Squared’s platform can expect faster test‑learn cycles, more granular audience segmentation, and a unified view of cross‑device performance—attributes increasingly demanded by privacy‑first regulations and the decline of third‑party cookies. The platform’s emphasis on real‑time risk identification and automated decision‑making also aligns with the growing need for scalability without sacrificing precision, a pain point highlighted in a recent Forrester study that found 62 % of marketers struggle to translate analytics into actionable media spend.
Industry context
The Andromeda update reflects a broader industry trend toward AI‑centric ad delivery, mirroring similar moves by Amazon Advertising’s “Demand‑Side AI” and Microsoft’s “Audience Network” enhancements. As platforms hand over more control to machine learning, agencies that can surface clean, first‑party signals and feed them into proprietary models will likely capture a larger share of the $1.2 trillion global ad‑tech market projected by IDC for 2026. C Squared’s timing—restructuring its media buying team in late 2025—places it ahead of many competitors still grappling with the transition from cookie‑based targeting to identity‑graph solutions.
Market Landscape
The ad‑tech ecosystem is entering a consolidation phase where AI, privacy compliance and real‑time analytics converge. Meta’s Andromeda, Google’s Performance Max and Amazon’s DSP AI are all designed to reduce the manual overhead of campaign management while delivering higher incremental lift. However, the shift also raises barriers for smaller agencies lacking in‑house data science talent. Platforms that bundle data engineering, machine learning and creative optimization—like C Squared’s new intelligence hub—offer a compelling value proposition for mid‑size to enterprise clients seeking end‑to‑end performance solutions without building a custom stack.
Top Insights
- C Squared Social’s team expansion triples its media‑buying capacity, positioning the agency to handle AI‑driven campaigns at scale.
- The proprietary intelligence platform centralizes data, machine‑learning models and automated budgeting, reducing the gap between insight and action.
- Gartner predicts 70 % of ad spend will be programmatic by 2025; firms with integrated AI stacks are expected to achieve up to 15 % higher ROAS.
- Enterprise marketers gain faster test‑learn cycles and unified cross‑device measurement, addressing the “privacy‑first” landscape.
- The move sets C Squared apart from off‑the‑shelf DSPs by delivering a systems‑driven, prescriptive media engine rather than a reporting overlay.
Get in touch with our Adtech experts
