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.
Leaders have more data than answers. The work is closing that gap.
For more than 20 years I've turned competitive, media and customer data into the decisions executives make, then built the teams and systems that keep the answers coming. I started out making websites and still think like a designer: if leaders can't read it in a minute, it isn't done.
“Be sure you're right, then go ahead.”My dad's rule, and how I've run every job
Twenty years turning new marketing data into decisions
I started as a designer, spent seven years in-house in web, email/CRM and UX, then built analytics and intelligence practices at agencies. Each colored bar is a case study; select one to see what it covers.
Private case study: select to previewOngoing practiceIn-house years
Innocean USA
Media intelligence for a global automaker's three brands. My team built the competitive-intelligence system behind its weekly leadership reviews, and I built the first prototype of The Brain, an AI analyst on Microsoft Copilot, then ran point as the team built it out.
Mindshare
Advanced analytics for advertisers in consumer goods, energy, financial services, travel, life sciences and higher education. Business lead for pricing and roadmap on a series of machine-learning modules in Synapse, Mindshare's analytics platform.
Hearts & Science
Led marketing sciences for a national telecom with a bi-coastal team of 10: a weighted partnership scorecard, biometric creative research and the change management behind a move to multi-touch attribution.
POSSIBLE
Ran media and analytics for the Los Angeles office. Built a personality-archetype framework for planning pages and offers, proved it with live A/B tests, and won agency investment in a biometric research lab.
Sq1 and Adaptive Audience
Went from freelancer to strategy lead to partner as a ~40-person agency grew to ~140. Created Sq1's SMART™ optimization method, and co-founded Adaptive Audience, a privacy-first platform that matched digital media exposure to in-store sales. It was sold with Sq1 to Ansira in 2015.
ZAAZ and the early years
Designer at Hancock Advertising, then seven years in-house at Tyler Junior College, Cox Communications and SuperPages.com (Verizon's directory business), then digital media at Vertis. At ZAAZ I ran a global smartphone maker's A/B testing program across seven markets.
Twelve case studies, shared on request
Each case covers the business question, what I changed about it, what we built and what leaders did with it. Because they include client names and results, I share them privately with hiring teams.
See the full cases, with clients and results
- Message me on LinkedIn with your name, company and work email.
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Inside, an AI guide gives you the short version of any case and answers follow-up questions, with links to the source.
Insights and intelligence
The intelligence behind an automaker's weekly decisions
A competitive-intelligence system for three brands, built for a year of fast-changing market conditions.
Teaching an AI analyst to reason like one
The Brain: governed data, 50+ industry guides and executive briefs in minutes instead of days.
A young luxury brand against long-established rivals
Competitive reads that turned share-of-voice tracking into recommendations leaders acted on.
The Competitive Scorecard
Rank, weight, gap: one method I've used at five employers to put a brand against the rival that matters.
Measurement and decision science
Proving fuel ads still worked
A linked brand-and-sales model that showed leaders what media contributed and where to move budget.
A head-to-head test for a university
Machine-learning targeting and creative scoring, tested head to head.
Measuring what media was really worth
Eye tracking for creative, holdout reads and new attribution models across three lines of business.
Adaptive Audience: connecting digital media to in-store sales
The privacy-first measurement business I co-founded, from first client to acquisition.
Products and customer experience
Four machine-learning modules, priced, sold and renewed
The Synapse product line I ran as business lead, from pricing to roadmap.
Four kinds of buyers, one winning page
Pages written for how shoppers decide, screened by archetype and proven in live tests.
One testing standard for seven markets
A global testing program built to answer a category-defining rival, market by market.
Selling digital ads inside a directory spin-off
Business-model research, product pages and a statement built from each advertiser's account.
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.
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.
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.
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.
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.
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 now leads econometric modeling at WPP Media.
I ran Neo's analysts 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.
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.
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
Mentors across my career
The leaders and authors behind how I work, in the order they shaped it.
- 2000sSteve Krug and Flint McGlaughlin · books and coursesWatch real people, then ask why.Started my obsession with usability research, and became the base of Sq1's optimization method.
- 2004–2006Vel Williamson and Nagesh Tata · Cox CommunicationsProve it, then sell it.Vel handed a designer a business question about online sales. Nagesh taught me to win support with forecasts and comparisons.
- 2007Jason Burby and Shane Atchison · Actionable Web AnalyticsAnalytics counts when someone acts on it.Their book led me to ZAAZ.
- 2011–2015Ernie Capobianco and Judge Graham · Sq1Treat the idea like a business.Took me from freelancer to strategy lead to partner, and taught me to fund, sell and exit a start-up.
- 2015–2017Jason Carmel and Dmitria Burby · POSSIBLEGive good people a bigger stage.Jason had been my advocate since ZAAZ; Dmitria helped Los Angeles take on the agency's largest accounts.
- 2019–2023Ikechi Okoronkwo and Fabio Giraldo · MindshareTurn models into products.Sharpened my advanced analytics and machine learning, and taught me the product marketing and business sense behind Synapse.
- 2023–2026Ben Gogley and Cindy Scott · Innocean USALead with the story leaders need.Coached me on executive narratives, how the auto industry really works and how to lead a team through it.
Designer, musician, dog dad. Data executive.
I've always built a team life beyond the deliverables. Many of the people I hired and led are now some of my oldest friends, and the trust we built outside the office made the work inside it better.
MusicBandmates at workI've played bass in bands with colleagues at several jobs, most recently Innocean. Here: my POSSIBLE band at ThinkLA's AdJam.
PetsIzzy, research assistantHead of morale. Never missed a deadline.
ArtIzzy, painted by me
FamilyMet my wife on the jobAgency life gave me more than colleagues.
CyclingThe coastal rideA monthly team ride I started to welcome new hires in LA.Writing, talks and recognition
Total Retail
Author
Partner case studies quoting me as President of Adaptive Audience
Co-presenter with a client and with LiveRamp
Work my teams sold and built
- 2021Mindshare cross-department collaboration award, for pooling Mindshare and Neo work on a higher-education account
- 2020WPP and Neo data-and-analytics award (team)
- 2019Mindshare innovation award, for my first machine-learning prototype
- 2019Nerd Heard Award for Analytics Excellence, Neo (individual)
- 2016POSSIBLE internal award for biometric research


Relocating to the Seattle area, open to remote
I'm looking for an in-house role in insights, intelligence or marketing effectiveness. To see the case studies, message me on LinkedIn with your name, company and work email.