media-mix-modeling
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BERA Wants to Put Brand Love on the Balance Sheet
Marketing has always had a language problem: the CMO talks about meaning while the CFO asks for money. BERA built a weekly data stream, a predictive model and a rather memorable love curve to make the two sides speak in numbers.
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 Janitorial Startup That Became a $220 Million Marketing Machine
Grayson Lafrenz started a cleaning company, hired an SEO agency he couldn't understand, and brought the work in-house. What grew out of that frustration now runs roughly $800 million in ad spend through software Power Digital wrote itself.
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.
Akkio
Akkio is a Cambridge, Massachusetts-based AI company that builds an AI-native platform for media agencies and data providers. It lets non-technical teams chat with their data, build no-code predictive models, segment audiences, simulate media plans, and generate campaign reports in minutes rather than weeks. Founded in 2019, Akkio started as a no-code machine learning tool for small businesses and has since refocused on automating the full campaign workflow for the advertising and media industry, with customers including Horizon Media, Havas, and LG Ad Solutions.