Rockerbox unifies multi-touch attribution, MMM and incrementality testing. See features, integrations and pricing, with a free plan and Starter from $150/month.
Researched and fact-checked by Bartu Cavusoglu · Updated October 26, 2026
Rockerbox is a unified marketing measurement platform that brings multi-touch attribution (MTA), marketing mix modeling (MMM) and incrementality testing together on one centralized data foundation. The company describes that foundation as SOC2-certified and presents the platform as a system of record for marketing measurement.
It is built for brands with complex marketing mixes that span digital and offline, paid and organic channels. The website lists more than 100 integrations and reports $9.89B+ in tracked marketing channel spend across top brands. These are company-stated figures, not independently verified.
Rockerbox also serves smaller advertisers through a free plan and a Starter plan for Shopify brands, so the product range runs from basic spend dashboards to multi-method measurement for larger teams.
Rockerbox starts by collecting spend, performance and conversion data from advertising platforms, ecommerce systems and offline channels. It standardizes and deduplicates that data into a single Marketing Data Foundation, which gives every measurement method the same starting point.
On top of that foundation, MTA shows daily performance across touchpoints, MMM estimates long-term channel contribution and forecasts budget scenarios, and testing proves causal lift through controlled experiments. Attribution and MMM surface hypotheses, and tests validate them.
Rockerbox says test results can calibrate the MTA model and inform MMM as priors. The platform also shows where methods agree and where they diverge, so teams act on the overlap and investigate the differences rather than debating which number is right.
The data side of the product is organized into Collect, Track and Export. Collect gathers performance and spend data, Track builds a first-party dataset of touchpoints that includes view-through data from platforms such as TikTok and Pinterest and synthetic modeled views on Facebook, and Export sends data to warehouses and Google Sheets.
The analysis side covers attribution, marketing mix modeling and fully managed incrementality testing. The site names Optimize, Forecast and Journey as marketing analysis products, and scenario planning lets teams model channel tradeoffs and budget shifts.
Offline coverage includes CTV, linear TV, direct mail and podcasts, with promo codes and post-purchase surveys used for hard-to-track channels. Data export supports Snowflake, Amazon Redshift and Google BigQuery.
Rockerbox is a unified marketing measurement platform that combines multi-touch attribution, marketing mix modeling and incrementality testing. It runs on a centralized, SOC2-certified Marketing Data Foundation that consolidates data from digital and offline channels.
Rockerbox has a free plan and a Starter plan with pricing that starts at $150/month for Shopify brands spending less than $1M. Prices for other configurations are not published, and buyers are asked to talk to an expert or request a demo.
Yes. Rockerbox Free is for advertisers spending less than $5M per year and includes basic data aggregation for Social and Search, Google Sheets templates and a live spend trends dashboard. It does not include first-party data or deduplication, and no credit card is required.
No. You can begin with multi-touch attribution, marketing mix modeling or incrementality testing and add the others later. According to the company, many customers start with MTA for tactical optimization and expand from there.
Platform attribution from Google, Meta or TikTok shows each platform in isolation and often over-credits conversions. Rockerbox provides de-duplicated, user-level attribution that reconciles all touchpoints across the marketing mix.
The timeline depends on the methodology. Rockerbox says testing can start in 1-2 weeks, while MTA or MMM can take 6-8 weeks depending on data readiness and complexity.
Yes. Rockerbox integrates with BigQuery, Redshift and Snowflake and provides analytics-ready datasets for BI tools and internal dashboards. Data can also be exported to Google Sheets.
Rockerbox states it is SOC2-certified and built to support privacy-compliant measurement. Its Marketing Data Foundation follows industry security standards and relies on first-party data.