How does
99Ravens
Use AI?
Automated and scaled marketing brief quality assessment
Project Overview
An AI platform that automates marketing brief evaluation using rubric-based scoring and natural language feedback to ensure quality and consistency before campaign execution.
Layman's Explanation
Imagine an expert marketing strategist who can instantly read your campaign plan, score it against best practices, and give you clear, actionable tips on how to make it better, all in a matter of seconds.
Details
99Ravens, a startup founded by ex-Google marketing leaders, identified a major bottleneck in marketing: the slow, inconsistent, and manual process of evaluating campaign briefs. To solve this, they built an AI-powered platform to automate and scale brief quality assessment. The system was developed from the ground up, moving from experimental notebooks to a full-fledged production application.
The core of the platform is an AI engine built on the OpenAI API. It uses a sophisticated, multi-stage prompt engineering architecture to analyze unstructured marketing briefs. The AI applies a structured rubric to evaluate the brief across multiple criteria, such as target audience definition and clarity of objectives, assigning a score from "very_bad" to "very_good" for each. This rubric-based approach ensures consistent and standardized evaluation, a key industry best practice.
Beyond just scoring, the system generates detailed, natural language feedback explaining the rationale behind each score and providing actionable suggestions for improvement. The entire service is delivered through a modern web application with user management and real-time processing. The project successfully launched with paying customers, validating strong market demand, and the team scaled by 50% during the engagement to support growth.
Analogy
It's like Grammarly for marketing strategy. Instead of just checking for typos in your document, it checks the logic, clarity, and completeness of your entire campaign plan, ensuring it's ready for launch.
Machine Learning Techniques Used
More Use Cases in
Marketing & Advertising
Novelty Justification
The project is a sophisticated commercial application of state-of-the-art generative AI and prompt engineering to a high-value business problem. It leverages an existing foundation model (OpenAI API) rather than developing novel core technology, making it an innovative integration rather than groundbreaking research.
Project Estimates
