Gruve provides a cloud‑based platform that aggregates spend and performance data from major digital ad channels into a unified data lake. It uses statistical and machine‑learning models to automatically reallocate budget, generate predictive ROAS forecasts, and trigger rule‑based actions via customizable dashboards and an open API. The solution is aimed at performance marketers, media agencies, and in‑house growth teams managing multi‑channel campaigns.
Funding
$20M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MFFounders
Product
Problem
Marketers and media agencies often manage campaigns across dozens of ad platforms, resulting in fragmented data, delayed performance insights, and manual budget adjustments that reduce overall return on ad spend (ROAS).
Solution
Gruve delivers a cloud‑based platform that consolidates spend and performance metrics from major digital channels into a single data lake. The system applies statistical and machine‑learning models to identify under‑performing placements and automatically reallocate budget in near real‑time. Users can monitor key performance indicators through customizable dashboards and set rule‑based triggers for budget shifts, pause low‑ROI ads, or boost high‑potential inventory. An open API enables integration with existing demand‑side platforms, attribution tools, and business intelligence suites, allowing marketers to maintain their existing workflow while gaining centralized control. The platform also provides predictive ROAS forecasts and anomaly alerts to help teams act proactively rather than reactively.
Target Audience
The primary users are performance marketers, digital media agencies, and in‑house growth teams that run multi‑channel advertising campaigns and require centralized spend management and data‑driven optimization.
Features
- Unified data ingestion pipelines for Google Ads, Meta, TikTok, programmatic DSPs, and emerging networks via API or CSV upload
- Real‑time budget optimization engine that runs incremental allocation algorithms based on KPI targets (e.g., CPA, ROAS)
- Drag‑and‑drop dashboard builder with pre‑configured visualizations for spend, impressions, conversions, and cost efficiency
- Rule‑based automation library allowing conditional actions such as auto‑pause, bid scaling, or budget transfer
- Predictive analytics module that generates 7‑day ROAS forecasts using time‑series and regression models
- Anomaly detection alerts that flag sudden performance deviations and suggest corrective actions
- Role‑based access control and audit logging for enterprise governance and compliance
- RESTful API and webhook support for bidirectional data sync with third‑party attribution and reporting tools