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.
The Dashboard That Learned to Pull the Levers
Triple Whale began as a cleaner view of the ecommerce mess. Now its AI operator can investigate the numbers, draft the work, and queue changes - useful power for a scaled brand, expensive curiosity for a simple shop.
Alexi Hatch Is Racing the Half-Life of Customer Intent
The design-trained CMO of Acoustic has built a career around one stubborn idea: marketing gets better when evidence travels faster than opinion.
Factors.ai Finds the Buyers Hiding in Your Traffic
Your best prospect may have visited the pricing page twice and vanished without a form fill. Factors.ai turns that quiet behavior into an account, a journey and, if your team is ready, a next move.
Gideon Thomas Put a Photographer’s Eye on the Revenue Machine
Before he marketed the machinery behind enterprise deals, Gideon Thomas spent a decade behind a camera. At DealHub, that visual instinct met an operator’s appetite for attribution, turning an obscure corner of sales software into a story about who controls revenue.
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.
Laura Beussman Learned Revenue in the Orchestra Pit - Then Taught AI to Listen
Before she ran marketing and revenue at CallRail, Laura Beussman worked behind the scenes in opera, theater and arts finance. The lesson she carried into AI-era marketing is wonderfully analog: listen closely, price honestly and never confuse a beautiful dashboard with the customer.
Maura Smith Is Building Marketing for the Moment After the Click
For nearly two decades, Maura Smith has argued that affiliate marketing belongs in the boardroom, not the basement. Now AI is erasing the click, and her campaign to measure influence instead of habit looks less like a niche crusade and more like a map of what comes next.
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.
Justin Lehrbaum
Justin Lehrbaum is an Area Vice President at Adobe leading Customer Experience Orchestration, based in Portland, Oregon. Over 14 years in enterprise B2B sales, he climbed from a sports-industry account executive role to senior VP territory leadership at one of the world's most recognized software companies, spanning Bizible, Marketo, and multiple Adobe business units. A five-time President's Club achiever, he oversees Adobe's data-driven customer journey solutions that help enterprise brands orchestrate personalized experiences at scale.
Austin Harrison
Austin Harrison is the co-founder and CEO of Northbeam, a San Francisco-based marketing intelligence platform that uses first-party data and machine learning to give e-commerce and D2C brands an accurate picture of which ads are actually driving revenue. Before pivoting to martech, Harrison built a parallel career in digital entertainment — co-founding an animation company that worked with Hasbro, Disney, and NBC Universal, and earlier running MediaTrip, an online animation channel that earned an Entertainment Weekly Top 10 Internet Phenomenon ranking. At Northbeam, he has led the company to track over $130 billion in ad-attributed revenue across 800+ brands, raised $40 million in total funding, and launched industry-first attribution models developed in partnership with Meta, TikTok, and Snapchat.