归因与分析
Rockerbox
Rockerbox 是营销测量平台，将多触点归因、媒体组合模型与增量测试整合，帮助品牌还原跨渠道的真实贡献，独立于各广告平台的自报数据。
主要用途
Rockerbox is a unified marketing measurement platform that combines three approaches most brands otherwise run in separate tools: multi-touch attribution, media mix modeling, and incrementality testing. It connects to ad platforms, analytics, and order data, deduplicates conversions that several channels each claim, and stitches paid, organic, direct, and offline touchpoints into a single customer-journey view. Marketers use it to see deduplicated channel contribution, reconcile platform-reported ROAS against a neutral source of truth, plan and pace budgets, and confirm real lift through geo or audience holdout tests. Because it is independent of any one ad network, Rockerbox is aimed at multi-channel direct-to-consumer brands that have outgrown trusting each platform's self-attributed numbers.
所在链路
Rockerbox sits at the analytics and measurement layer above the ad platforms, turning fragmented per-channel reporting into one deduplicated view that informs budget decisions.
核心功能
- Multi-touch attribution across paid, organic, and offline channels
- Media mix modeling for top-down budget planning
- Incrementality and holdout testing to validate true lift
- Conversion deduplication against platform-reported numbers
- Spend, pacing, and channel-contribution dashboards
适合谁用
- Multi-channel DTC and growth-stage brands needing neutral measurement
- Teams reconciling inflated platform-reported ROAS
- Marketers planning budgets across paid, organic, and offline
新手提示
- MTA, MMM, and incrementality answer different questions — use them together rather than expecting one number.
- Connect clean order and revenue data early; attribution is only as trustworthy as the conversion feed behind it.
- Expect deduplicated totals to be lower than the sum of platform-claimed conversions, and treat that gap as the point.