Attribution & marketing mix modeling · Rockerbox

Rockerbox

Marketing measurement platform combining multi-touch attribution with media mix modeling on the advertiser's own data.

Rockerbox reads marketing and conversion data from the advertiser's own warehouse or ad-platform APIs rather than relying on its own tracking pixel, then produces both multi-touch attribution (which touchpoints a converting customer passed through) and media mix modeling (aggregate spend-to-outcome relationships across channels over time) from the same underlying data. Running both methods side by side is the point: multi-touch attribution explains individual customer paths but struggles with platforms that block tracking, while MMM is privacy-resilient but coarser, and Rockerbox lets advertisers reconcile the two rather than picking one. It is used mainly by mid-market and enterprise advertisers with in-house analytics capacity to act on the output, not as a plug-and-play dashboard for small teams.

At a glance

Vendor Rockerbox
Pricing model Quote only
Free tier No
Deployment Cloud
Open source No
Best for Mid-market and enterprise advertisers wanting multi-touch attribution and MMM reconciled from their own warehouse data.

Pricing

Custom quotes scoped to ad spend and data sources; pricing is not published.

Pricing has not been verified yet — see the vendor's site.

Features

  • Multi-touch attribution reading from the advertiser's own data, not a proprietary pixel
  • Media mix modeling alongside multi-touch attribution
  • Warehouse-native data ingestion
  • Cross-channel budget allocation recommendations
  • Incrementality test design support
  • Custom attribution model configuration

Integrations

Profile last reviewed September 21, 2026

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