Creative agency scaling SEO and paid media across 40 markets
Iris is a creative agency with 51–200 staff in London, built around integrated campaigns spanning CRM, content, B2B, healthcare, social, and performance marketing. The tech stack is heavily weighted toward Adobe Creative Cloud, 3D visualization (Cinema 4D, Maya, SketchUp, Lumion), and analytics (GA4, Looker Studio, SEMrush) — typical for a production-heavy creative shop. Hiring is almost entirely marketing-focused (14 of 16 active roles, mid-to-director level), with projects centered on SEO strategy execution, GEO testing, pitch management, and zero-click search adaptation, while pain points reveal two competing pulls: accelerating production timelines internally and scaling new business pipeline across 40 markets.
Notable leadership hires: Account Director
Iris is a creative agency operating from London, serving brands across CRM, content marketing, B2B, healthcare, tech, social, influencer, and performance marketing disciplines. The organization combines strategic planning, creative production, and media buying under one roof. Active projects include SEO strategy execution across 40 markets, generative engine optimization testing, full-funnel paid media planning, and thought leadership development. With 51–200 employees and accelerating hiring velocity focused on marketing and mid-to-senior roles, the agency is building capacity for new business growth and scaling client delivery.
Adobe Creative Cloud (Photoshop, Illustrator, InDesign, Premiere Pro, After Effects), 3D modeling (Cinema 4D, 3ds Max, Maya, SketchUp, Lumion, Enscape), analytics (Google Analytics 4, Looker Studio, SEMrush), Google Ads, Meta Business Manager, and AI tools including Gemini and Perplexity.
Generative engine optimization testing, SEO strategy execution across 40 markets, full-funnel paid media planning, pitch process management, case study and thought leadership development, and new business growth initiatives in London.
Iris London's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.