Rockerbox
Rockerbox unifies cross-channel marketing data into a single measurement platform, enabling brands to accurately attribute conversions and optimize spend across all channels — including hard-to-measure channels like TV and podcasts.
Last updated Jun 3, 2026 by ATDb automated enrichment · Connections updated Jun 8, 2026
- Industry
- Marketing Measurement & Attribution
- Business Model
- SaaS
- Target Market
- Mid-Market
- Employee Count
- 51-200
- Funding
- $30M
- Revenue Range
- $10M-$50M
- Parent Company
- DoubleVerify
- API Available
- Yes
A leading independent attribution and measurement platform for DTC and e-commerce brands, now operating under Snap Inc. following a 2024 acquisition.
Rockerbox is a marketing measurement and attribution platform that provides brands with a centralized view of their marketing spend and performance across paid, organic, and owned channels. The platform aggregates data from hundreds of marketing sources — including paid social, paid search, streaming TV, podcasts, and direct mail — into a single source of truth, enabling marketers to understand which channels and campaigns are driving conversions. Rockerbox is particularly well-regarded among direct-to-consumer (DTC) and e-commerce brands that need to navigate complex, multi-touch customer journeys. The company was founded in 2012 and built a reputation for combining multi-touch attribution, media mix modeling (MMM), and incrementality testing into a unified measurement suite. This approach addressed growing industry challenges around signal loss, cookie deprecation, and the limitations of last-click attribution. Rockerbox differentiated itself by offering both rule-based and data-driven attribution models alongside privacy-compliant measurement methodologies. In 2024, Snap Inc. acquired Rockerbox, signaling Snap's strategic intent to bolster its advertising measurement capabilities and provide advertisers with more robust cross-channel attribution tools. Despite the acquisition, Rockerbox continues to operate as a distinct platform serving its existing customer base, with its technology and team integrated into Snap's broader advertising ecosystem.
Multi-Touch Attribution (MTA)
Assigns conversion credit across multiple touchpoints in the customer journey using rule-based or data-driven models.
Media Mix Modeling (MMM)
Statistical modeling approach to measure the aggregate impact of marketing channels on revenue, useful in privacy-constrained environments.
Incrementality Testing
Controlled experiments to measure the true causal lift of marketing campaigns and channels.
Unified Marketing Data Hub
Centralizes raw marketing data from 200+ sources into a single, normalized data layer for analysis and reporting.
Channel-Level Reporting
Granular performance dashboards across paid social, paid search, streaming TV, podcasts, direct mail, and more.
- 2012Founded