Marketing OS
A multi-agent AI system where specialised agents handle data analysis, creative testing, budget allocation, and competitor tracking — working in a continuous optimisation loop to improve campaign performance automatically.
Team structure
Lead
lead
analytics
budget
competitor
creative
Mission
Prompt: Build a multi-agent AI system for performance marketing teams that optimises ad spend and creative performance in real time. Agents: Data ingestion agent (pulls data from Meta Ads, Google Ads, TikTok Ads) Analytics agent (identifies patterns in CTR, CPA, ROAS) Creative testing agent (generates new ad variations) Budget allocation agent (recommends spend shifts across campaigns) Competitor monitoring agent (tracks competitor ads and strategies) Reporting agent (generates client-ready performance reports) Requirements: Continuous optimisation loop (learn → test → optimise) Decision logic for scaling or killing ads Integrations with ad platforms APIs Weekly insights report generation Pricing (£5k–£25k/month for agencies and ecommerce brands) Focus on increasing ROAS and reducing wasted ad spend.
The team
lead
Team Lead
Team management, task planning, delegation, and monitoring
analytics
Analyses CTR, CPA, ROAS patterns; detects anomalies; generates scale/kill signals for campaign optimisation.