Trigma.AI is a cloud-agnostic platform that automates closed-loop measurement and budget optimization for data-driven marketing, enabling organizations to accurately assess ROI and optimize resource allocation across channels. By providing real-time sales measurement and actionable insights, Trigma.AI empowers businesses to enhance their marketing effectiveness and increase ROI by up to 10 times.
Funding
Funding not disclosed
Founders
Product
Problem
Many marketing organizations struggle to accurately measure the return on investment (ROI) of their campaigns across various channels. This makes it difficult to optimize budget allocation and maximize sales effectiveness. Existing solutions often provide insights without offering a closed-loop system for measurement, optimization, and execution.
Solution
Trigma.AI offers a cloud-agnostic platform designed to automate closed-loop measurement and budget optimization for data-driven marketing. The platform enables organizations to accurately assess ROI and optimize resource allocation across multiple channels. By leveraging data to empower marketing decisions, Trigma.AI helps businesses uncover opportunities to grow sales and enhance marketing effectiveness. The platform provides a no-code environment that streamlines the process of measurement, ROI estimation, and omnichannel resource optimization through AI-driven agents.
Target Audience
Trigma.AI targets data-driven marketing organizations seeking to improve their ROI measurement and optimize budget allocation across various marketing channels.
Features
- Multi-dimensional modeling to understand ROI, activity impact, and baseline sales drivers.
- Budget optimization based on diminishing return curves and scenario simulation.
- Data-driven media plan development for strategic execution.
- Integration with various data sources, including Google Sheets, MySQL, AWS services (Athena, Lambda, DynamoDB, Redshift, S3), Snowflake, Salesforce, and Azure.
- Collaboration tools such as Slack and Jira.
- Visualization using Apexcharts.
- Compatibility with Kubernetes and Databricks.