Rockerbox is a marketing measurement and attribution platform purpose-built for direct-to-consumer and e-commerce brands. It centralises marketing data from every paid and organic channel, applies multiple attribution models, and provides a single source of truth for marketing performance — replacing the patchwork of ad platform reports that consistently inflate individual channel ROAS.
Product Overview
Rockerbox solves the fundamental problem of cross-channel measurement: every ad platform claims credit for the same conversion, making it impossible to know which channels actually drove the sale. Rockerbox de-duplicates conversions, applies neutral multi-touch attribution across all channels, and provides a true, unbiased view of marketing performance. Its Incrementality Testing module measures the true causal impact of specific channels — going beyond correlation to prove which spend actually drives incremental revenue.
Key Features
- Unified Marketing Data: Aggregate spend, impression, click, and conversion data from 100+ ad platforms and channels in one dashboard.
- De-duplicated Attribution: Remove the double-counting that inflates ROAS in ad platform reports — see true cross-channel credit allocation.
- Multi-Touch Models: Compare first-touch, last-touch, linear, time-decay, and data-driven models across all channels simultaneously.
- Incrementality Testing: Run geo holdout and A/B tests to measure the true causal lift of any channel or campaign.
- Media Mix Modelling: Statistical model that estimates the impact of each channel on revenue — without relying on cookies or user-level tracking.
Best For
DTC and e-commerce brands spending $500K+ annually on paid media who need an unbiased, cross-channel view of marketing performance beyond what individual ad platforms report.
Pricing
Custom pricing based on ad spend and data volume. Contact sales.
Key Integrations
Shopify, Google Ads, Meta Ads, TikTok Ads, Klaviyo, Google Analytics, Snowflake, BigQuery
Pros
- Purpose-built for DTC — Shopify-native and e-commerce focused
- De-duplication solves the double-counting problem definitively
- Incrementality testing provides causal proof of channel value
- Strong media mix modelling for cookieless attribution
Cons
- Less suited for B2B SaaS with long sales cycles
- Expensive for brands below $500K media spend threshold
- Incrementality tests require time and traffic volume to be statistically valid
