marketing-attribution
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The 62 Million View Mirage
Kissmetrics built a huge audience, then used its own analytics to discover that applause and revenue had almost nothing in common. Its second act asks a sharper question: can software tell you which people actually matter?
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.
The Call Was the Conversion. Infinity Finally Made It Count.
A magazine subscription problem produced a call-tracking company. Sixteen years later, Infinity is teaching ad platforms to hear what happened after the phone rang.
Conquer Put the Sales Stack Inside Salesforce. Then It Went Shopping.
The company once known as DialSource spent years fixing the unglamorous plumbing of enterprise selling. Now it is stitching calls, coaching, attribution and buyer collaboration into one Salesforce-native operating layer.
Invoca Put a Price Tag on the Phone Call - Now It Wants an AI Agent to Answer It
Invoca spent years teaching marketers what happened after a customer picked up the phone. Its next bet is more ambitious: use that same first-party conversation data to make sure someone - human or machine - answers at all.
A BMW Directory Couldn't Prove It Made the Phone Ring. CallRail Turned That Blind Spot Into $100 Million in ARR.
CallRail began with an embarrassingly ordinary question: did that ad make the phone ring? Fifteen years later, its answer spans attribution, conversation intelligence and an AI receptionist - with a few hard lessons about what not to build along the way.
Everflow Built a $30 Million Business by Counting What Marketing Usually Misses
Affiliate marketing gets messy the moment a click becomes a customer. Everflow built a profitable, bootstrapped software company by following that journey farther - through repeat purchases, partner payouts and the placements that actually earn their keep.
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.