归因与分析
Northbeam
Northbeam 是面向电商广告主的归因与媒体组合建模平台，结合第一方像素、多触点归因与机器学习评估各渠道的增量贡献，帮助团队把预算分配到真正带来增量的投放上。
主要用途
Northbeam is a marketing attribution and media-mix platform aimed at ecommerce and DTC advertisers that spend heavily across paid social, search, and other channels. It combines a first-party tracking pixel, multi-touch attribution, and machine-learning media-mix modeling to estimate the true incremental contribution of each channel and campaign. Marketers see customer journeys, time-to-conversion, and new-versus-returning revenue, then use those signals to reallocate budget toward genuinely incremental spend. Northbeam also surfaces creative-level performance and forecasting, and pushes cleaner conversion data back to ad platforms. It targets data-driven teams that have outgrown platform-reported ROAS and want a more defensible view of marketing efficiency.
所在链路
Sits at the attribution and media-mix-modeling layer for data-driven ecommerce advertisers.
核心功能
- First-party pixel feeding multi-touch attribution
- Machine-learning media-mix modeling for incrementality
- Customer-journey and time-to-conversion reporting
- New-versus-returning revenue and CAC breakdowns
- Creative-level performance and budget forecasting
- Conversion data sent back to ad platforms for optimization
适合谁用
- Scaling DTC brands reconciling multi-channel ad spend
- Performance teams seeking incrementality beyond platform ROAS
新手提示
- Give the model several weeks of data before trusting incrementality reads
- Compare Northbeam's view against platform-reported numbers to understand the gaps
- Act on channel-level reallocation gradually rather than overhauling budgets overnight