Brandon Bethea

Insights, intelligence and marketing effectiveness

Leaders have more data than answers. I build the teams and systems that close the gap.

For more than 20 years I've turned competitive, media and customer data into decisions executives can use, most recently as VP, Media Intelligence at Innocean USA, Hyundai Motor Group's in-house agency.

Full case studies

This page is the overview. The full cases include client names and results, so I share them privately with recruiters and hiring teams. Once approved, you browse on your own with a one-time email code. Request case-study access →

20+ yearsIn-house, then agencies, from design to AI-assisted intelligence
4 to 20+Team size, from analysts to PhD data scientists; about 10 on average
10+People who reported to me and were promoted
Co-founderOf Adaptive Audience, a measurement business that contributed to Sq1's sale to Ansira; later business lead for Synapse's machine-learning modules
Career path

Innocean USA 2023–26 · Mindshare 2019–23 · Hearts & Science 2017–19 · POSSIBLE 2015–17 · Sq1 and Adaptive Audience 2011–15 · ZAAZ 2009–11 · Vertis 2008–09 · in-house at SuperPages, Cox Communications and Tyler Junior College 2001–08

See the full career map →
Selected work

Twelve case studies: public summaries

Each summary gives the business question and my role. The full cases cover what we built and what leaders did with it; because they include client names and results, I share them privately with recruiters and hiring teams.

Public case study · 2026How you do anything is how you do everythingI ran my own job search like a client program, with an AI agent I built and governed: locked facts, written rules, independent checks, and a person approving every send.Read the case →
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How I work

Intelligence built for the people deciding

I started as a designer, so I build intelligence people can read and use: one-page scorecards, monthly reads for a CMO, briefings an AI analyst drafts in minutes.

Start with the decision

"Who will decide with this?" is still my first question. Analytics counts when someone acts on it.

Research throughout

Business-model research and A/B testing in-house, then usability and testing at every agency since. Watch real people, then ask why.

Hands-on, then leading

I build forecasting models myself and lead the machine-learning work. Engineers own production code; I own the question, the method and the story.

Readable in a minute

If an executive can't read it in a minute, it isn't done. Design is part of the analysis, not a finish on top of it.

How I lead

Building the people who run the work

I get into the trench with my team, push each person to find their own angle on the work, and believe the community around the work shapes the work.

Brandon talking with two Sq1 teammates in the Dallas office, 2012
Sq1, Dallas, 2012. Whiteboard blurred.
Sq1 · Adaptive Audience

I saw a strategist in an account supervisor others had typed as client service. I moved her into Adaptive Audience, built her training around the platforms, testing and dashboards, and pushed her into new business and conference talks. She went on to lead all Adaptive Audience account services and pitch it in her own voice.

Innocean

I built every report hands-on with my first three analysts, all early in their careers, then gave each one a brand. They became the competitive-insights leads for each brand's leadership, and I promoted one to senior analyst.

Innocean · The Brain

One analyst pushed back on our AI platform because he preferred another tool. Instead of overruling him, I had him build a balanced comparison of the tools, the governance limits and the pilot use cases. His comparison won broader support from analytics leadership.

Mindshare and Neo

I ran analysts from Neo (a WPP performance agency) and Mindshare's data scientists as one team with one view of the client. After about a year, leadership approved expanding that pooled model across the office.

Three more leadership stories
Hearts & Science

One of my data scientists was brilliant and quiet. Instead of telling him to speak up more, I started a monthly lunch-and-learn and asked him to help run it. He took it over, and it grew into an agency-wide forum.

Mindshare

I hired a PhD engineer with deep data-science skill and little agency experience. He taught me machine learning, and I taught him client management and executive presentation. He went on to lead econometric modeling of his own.

POSSIBLE

I hired a specialist for search. He saw the testing work, asked to learn it, and I taught him. He ran the testing practice after I left and later stepped into my next role.

In their words

What teams and colleagues say

Brandon was a great manager who exemplified lead by example… getting different teams to achieve a common larger goal for the organization.Data scientist who reported to me · Hearts & Science · 2019
Brandon's ability to get groups working together across multiple departments… while always remaining calm, thoughtful and practical is an extremely valued talent.Colleague · Sq1 · 2014
I was impressed by his guidance, mentorship, and innovative mind… I fully trusted and respected him as a leader.Team member who reported to me for three years · Sq1 · 2014

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Relocating to the Seattle area, open to remote

I'm looking for an in-house role in insights, intelligence or marketing effectiveness. If you're hiring, or know someone I should meet, I'd welcome a conversation. Not connected yet? Send a request with a short note.

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