Voltano is a growth intelligence platform that consolidates fragmented marketing data from ad platforms into a single, normalized dataset. By unifying metric definitions and attribution windows across Google, Amazon, and social channels, it enables AI-driven optimization and consistent performance measurement. The platform integrates with major advertising networks and applies approved automated changes to improve campaign efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Marketing teams struggle to compare performance across platforms because each advertising channel reports results with its own metrics, definitions, and attribution windows. A "click" or "engagement" on one platform means something different on another, making it impossible to get a unified view of campaign effectiveness. This data inconsistency undermines AI-driven optimization, as models are trained on fundamentally incompatible baseline data.
Solution
Voltano provides a growth intelligence platform that sits above a company's existing marketing stack to consolidate and normalize data across all major advertising channels. The platform automatically extracts raw marketing data from connected platforms and normalizes it into a single dataset with consistent attribution windows and shared key-metric definitions. This creates one source of truth that enables accurate cross-channel comparisons and reliable AI-driven insights. Based on this normalized data, Voltano surfaces recommendations and, when authorized by the user, executes automated optimizations across connected platforms to improve spend efficiency and campaign performance.
Target Audience
Primary customers are marketing teams, agencies, and growth organizations managing advertising spend across multiple digital platforms who need consistent, comparable performance data to make optimization decisions.
Features
- Automatic data extraction and consolidation from major advertising platforms including Google, Amazon, Instacart, TikTok, Instagram, and Facebook
- Data normalization engine that aligns campaign blueprints, standardizes metric definitions, and unifies attribution windows across all connected channels
- Single normalized dataset serving as the foundation for consistent analytics and AI model training
- Insight generation and recommendation engine that identifies optimization opportunities
- Automated execution of approved changes across connected ad platforms, with user-configurable approval permissions
- API-based integrations that read performance data and apply optimizations subject to user authorization