AI agents: Marketing
13 production-ready agents in Marketing. Each one describes what it does, a practical example, the effect month by month, a payback calculation tied to a real role, and the systems it reads data from.
Deeply researches the market, competitors, and trends for decision-making.
Monitors mentions and feedback, prepares responses, and escalates negative issues.
Consolidates channel and campaign effectiveness, calculates ROMI.
Segments the database (veterinarians, farms, distributors, pet stores) and prepares personalized mailings.
Collects and analyzes results of advertising and content campaigns across channels, calculates ROI, and provides budget recommendations.
Tracks company mentions in media and social networks, identifies information risks. Analyzes mention sentiment. Notifies of negative spikes. Reports for management.
Identifies customer churn risk and reactivates.
Consolidates leads, budgets, CPL, and deals into a single object-based dashboard for weekly management review.
Generates ad copy and visuals for segments and tests.
Generates banners, visuals, and layouts for advertising and educational campaigns for products according to the brand book.
Plans content calendar, prepares and publishes posts, responds to comments and messages, tracks reach.
Helps formulate brand positioning and platform (for whom, why us).
Manages the product portfolio and launch plans, coordinates R&D, registration, production, and sales.