Supermetrics: Helping Marketers Redefine Efficiency with AI-Powered Data Analysis
Supermetrics· FinlandGoogle Cloud · Vertex AI Agent Builder · Agent Development Kit (ADK) +1
Supermetrics, a Finland-based marketing intelligence platform serving 15,000+ customers across 132 countries, built an AI agent on Google Cloud using Vertex AI Agent Builder and the Agent Development Kit (ADK) that autonomously manages data connections, fixes pipeline errors, and analyzes campaign performance in real time, suggesting new creative options using Imagen. The agent automates the weekly marketing reporting cycle that previously took performance marketers up to four hours, reclaiming over 15 hours per month per marketer for strategy and creative testing. The system uses a central AI agent that interprets natural language requests and delegates tasks to sub-agents, and stores 'core memories' of user preferences for personalized context.
Overview
Supermetrics, a Finland-based marketing intelligence platform serving 15,000+ customers across 132 countries, built an AI agent on Google Cloud using Vertex AI Agent Builder and the Agent Development Kit (ADK) that autonomously manages data connections, fixes pipeline errors, and analyzes campaign performance in real time, suggesting new creative options using Imagen. The agent automates the weekly marketing reporting cycle that previously took performance marketers up to four hours, reclaiming over 15 hours per month per marketer for strategy and creative testing. The system uses a central AI agent that interprets natural language requests and delegates tasks to sub-agents, and stores 'core memories' of user preferences for personalized context.
This entry has 13 published fields tied to exact passages in an immutable source capture.
Inspect the highlighted sourceThe challenge
Marketers face a paradox of having more data than ever but less time and fewer resources to analyze it; marketing data has grown more than 230% since 2020, yet more than half of marketers admit they can't analyze it thoroughly, resulting in missed insights, slower decisions and growing pressure to deliver results with limited budgets. Supermetrics' own performance marketers spent up to four hours every week manually pulling data, formatting slides, and hunting for the root cause of performance dips.
The solution
Supermetrics built an AI agent on Google Cloud, powered by Vertex AI Agent Builder and the Agent Development Kit (ADK), that autonomously manages data connections, fixes pipeline errors, and analyzes campaign performance in real time, and can suggest new creative options using Imagen. A central AI agent interprets natural language requests and delegates tasks to sub-agents, such as one that queries advertising data and another that analyzes it and surfaces insights; the system stores 'core memories' of each user's preferences, roles, and data needs to build personal context.
Reported business value
The AI agent automates the entire weekly marketing reporting cycle, reclaiming over 15 hours per month per marketer for strategy and creative testing, and helps Supermetrics scale to serve more than a million users with clean, actionable data and minimal manual effort. Google Cloud reports the system was 3x faster to build agents with ADK compared to other industry frameworks, with automated error detection and fixes in data pipelines and continuous performance improvement as the system learns and optimizes.
Sources
Open any source and check the claim yourself — that is the point of the register.
This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
Other technology & software entries in the register.
HP crafts marketing campaigns that resonate with customers using Databricks and Uniphore
HP centralized first-party customer data on the Databricks Data + AI Platform with Delta Lake and Unity Catalog, and connected it to Uniphore's HybridCompute for federated query pushdown, cutting campaign setup from 2 weeks to 2 hours and processing 400 million records in seconds.
Transforming Weather Forecasting with Lakeflow Jobs
AccuWeather migrated from on-premises infrastructure to Databricks and Lakeflow Jobs, working with Datadog for observability, to unify diverse weather data formats and orchestrate 4,500+ weekly jobs. Lakeflow Jobs coordinates the ingestion of multiple weather models, triggers machine learning processes that weight and blend different forecasts, and manages complex job dependencies for reinforcement training workflows used in AccuWeather's proprietary forecasting engine. AccuWeather reports 3x faster dataset development (three months to one month per dataset), a 50% reduction in unactionable alerts, and 50% cost savings on serverless job usage.
AccuWeatherLakeflow Jobs · Delta Sharing · DatadogAdobe brings creativity to life with Databricks
Adobe uses the Databricks Data + AI Platform for end-to-end data management that unifies all data and AI at scale, with 20% faster performance. Databricks equips over 92 teams at Adobe to unify data from financials, sales, products, customers and employees so they can drive personalized experiences across Adobe's digital platforms with AI.
DDI helps companies develop exceptional leaders with Databricks
Leadership development firm DDI used Databricks Notebooks, DSPy prompt optimization and fine-tuned Llama3-8b models to automate scoring of behavioral leadership simulations, cutting simulation report generation from 48 hours to 10 seconds, doubling recall score, and improving F1 score by 13%.
Was this helpful?
Your feedback helps us improve our use case database