marketing-measurement
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The Sponsorship That Finally Met the Spreadsheet
A company built to answer marketing's awkward question - did that expensive idea actually sell anything? Alembic is taking the question from the campaign dashboard to the executive budget meeting.
Junction 37 and the Three-Cent Media Plan
A New York media agency built its reputation by distrusting the obvious channel, following the shelf, and charging toward the strange result. Sometimes the winning ad is six minutes long. Sometimes it costs three cents to watch.
The Agency That Told a Client to Spend Less
Responsory began with direct mail, survived the internet, and kept the useful part: an almost stubborn insistence that creative work should answer to a number.
Net Conversion Built the Plumbing That Makes Media Spend Confess
The Orlando agency buys the ads, joins the messy data behind them, and asks a blunt question: did the money move the business? Its answer is part service firm, part homegrown software stack.
The Ad Platforms Grade Their Own Homework. Haus Built a $44 Million Red Pen
Marketers have spent years mistaking clicks for causes. Haus asks them to switch off the ads, hold out a few regions and discover which part of the budget was doing real work.
Tinuiti Wants to Find the Money Your Marketing Is Wasting
The independent agency built its name buying digital ads. Its next act is harder: proving which dollars actually caused growth, and exposing the ones that did not.
Prescient AI
Prescient AI is a marketing measurement and optimization platform that uses machine learning and Bayesian statistics to show brands how much revenue each advertising channel actually drives. Its marketing mix model (MMM) captures full-funnel impact - including the indirect halo effects campaigns have on organic lift and downstream revenue - then forecasts future performance and recommends budget allocation across DTC ecommerce, Amazon, and retail. Founded in 2019 and headquartered in Miami, the company serves 100+ omnichannel and DTC brands and positions itself as an independent, privacy-safe alternative to last-click attribution.
Northbeam
Northbeam is a San Francisco-based, machine-learning marketing measurement platform built for direct-to-consumer and ecommerce brands. It stitches together multi-touch attribution, media mix modeling, and incrementality testing so marketers can see what their ad spend actually drives in revenue - across Meta, TikTok, Snap, Google, and beyond - in a privacy-changed, cookie-thin world. Founded in 2019 by Austin Harrison and Dan Huang, the company helps growth teams move budget with confidence instead of guessing.