Northbeam is a marketing intelligence platform that helps ecommerce and direct‑to‑consumer brands understand exactly how their advertising drives revenue. By combining first‑party data collection, advanced multi‑touch attribution and media mix modeling (MMM+), Northbeam gives growth teams a single source of truth across Meta, Google, TikTok, Snap, Pinterest, CTV and more. Marketers use Northbeam to allocate budgets confidently, improve ROAS and manage customer acquisition costs with an explicit focus on profitability, not just top‑line revenue.
Founded in 2019 by serial entrepreneur Austin Harrison and AI researcher Dan Huang, Northbeam was purpose‑built for modern performance marketing in a privacy‑constrained world. The platform replaces cookie‑heavy, last‑click approaches with a machine‑learning model that stitches together customer journeys across devices and channels using first‑party signals. Its flagship products include Multi‑Touch Attribution (MTA), MMM+, Profit Benchmarks, Metrics Explorer, Product Analytics, Creative Analytics, the Apex ad‑platform integration layer, and a deterministic view‑through attribution model called Clicks + Deterministic Views.
The company has raised approximately $30M in venture funding, including a $15M Series A led by Silversmith Capital Partners in 2022 and a $15M growth investment in 2025 led by HighPost Capital alongside Silversmith. Northbeam reports that it tracks over $25B in ad spend, $130B in attributed revenue and more than 2.1 trillion impressions, and is trusted by more than 800 brands worldwide. Headquartered in El Segundo, California, with roots in San Francisco, the team has grown to roughly 80–100 employees across data science, engineering, customer success and media strategy.
In the attribution and BI market, Northbeam occupies the high‑end of the ecommerce and performance‑marketing segment. It is often evaluated alongside tools like Triple Whale, Rockerbox, Kickbite and Wicked Reports, but differentiates on depth of modeling, deterministic view‑through attribution, and a strong focus on profitability benchmarks and MMM tightly integrated with MTA. The platform is best suited for brands and agencies with significant paid media budgets that need highly accurate, always‑on measurement and a first‑party data backbone to withstand ongoing privacy and signal loss changes.