Our Story

Built by people who managed multi-DSP spend and got tired of the spreadsheet.

Samantha Park spent eight years as a programmatic strategist at performance agencies. She managed cross-DSP campaigns for brands spending $1M-$4M per month across four to seven platforms. Every Monday she pulled reports from DV360, The Trade Desk, and three others, normalized the attribution windows in a spreadsheet, and made budget decisions on data that was already three days stale. She built Brandpathio in 2022 because that process was broken and nothing in the market was fixing it.

The observation that started it

In 2021, Samantha was running programmatic strategy for a direct-to-consumer apparel brand spending $2.8M per month across DV360, The Trade Desk, and StackAdapt. The client's blended ROAS looked acceptable in aggregate — until she ran a cross-platform audience overlap analysis manually and found that 41% of the users in their retargeting pool were reachable on all three platforms simultaneously. Three bid streams competing for the same people, each platform claiming credit for the same conversions, and the client paying inflated CPMs as a result of bidding against their own campaigns.

She spent two weeks building a spreadsheet model to reallocate budget based on cross-platform conversion data. It worked — ROAS on the client account improved 19% in the following 60 days. But the model required eight hours a week to maintain and broke every time a platform changed its reporting API schema.

There was no software that did this. Every DSP-level optimization tool optimized within the platform's walls. Attribution tools measured multi-touch paths but didn't write budget changes back to the platforms. No one had built the coordination layer that sat above all the platforms and moved money based on what was actually converting across all of them.

She left agency work in early 2022, brought in Marcus Webb and Diana Chen, and built Brandpathio to replace the spreadsheet permanently. The platform is angel-backed, based in Salt Lake City, UT, and serves performance marketing teams managing $500K+ per month in programmatic spend.

Modern open office environment with screens showing performance marketing dashboards

The Team

The people behind the engine

Samantha Park, CEO and Co-Founder of Brandpathio

Samantha Park

CEO & Co-Founder

Eight years running programmatic strategy at performance agencies, managing cross-DSP spend from $500K to $4M per month for D2C and retail brands. Founded Brandpathio in 2022 after manually rebuilding the same cross-platform attribution model one too many times.

Marcus Webb, Head of Product at Brandpathio

Marcus Webb

Head of Product

Previously led product at a programmatic analytics company, building cross-channel reporting pipelines for media planning teams. Joined Brandpathio to own the optimization engine and DSP integration roadmap.

Diana Chen, Head of Data Science at Brandpathio

Diana Chen

Head of Data Science

PhD in applied machine learning. Previously built impression-level bidding models and audience scoring systems at an adtech startup. At Brandpathio, she leads conversion signal reconciliation, creative-audience attribution modeling, and incrementality measurement.

What We Believe

How we think about programmatic

Conversion over clicks

We optimize for outcomes you can deposit, not metrics you can explain away. CTR is an input signal. Downstream conversion rate is the measure that matters.

Full picture, always

You shouldn't need five platform dashboards and a spreadsheet to understand your programmatic spend. One view, all channels, conversion signal from your source of truth.

Runs alongside your setup

No migration, no new DSP contracts, no replacing the platforms you've already built seat relationships with. We add the cross-platform coordination layer on top of what's already working.

Brandpathio is not a DSP. We don't bid on impressions, don't participate in RTB auctions, and don't touch your creative delivery. Your DSP relationships and seat agreements stay exactly as they are. What we do is coordinate budget allocation across them — so your spend goes where the conversions are, not where the algorithm last looked.

Work With Us

Ready to see the engine in action?

We work directly with performance marketing teams. 30-minute demo, your data, your DSPs.

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