Selected work
Proof that sharper strategy and better assets change the commercial outcome.
This is not agency theater. These are the commercial problems, strategic moves, and execution decisions that helped freight brands tighten story, strengthen first impression, and compete harder.
The machine is never the lead. Judgment is. Casey starts with what is weak in the story and buyer path, then builds what the business needs to fix it.
4,542 to 53
TAM tightened into a real target set
A broad market list became a focused Tier 1 account set so sales could stop guessing and start prioritizing.
40m to 3m
Execution speed without losing judgment
Manual GTM drag was compressed so teams could move faster while keeping human approval in the loop.
15%
Tier 1 meeting conversion
Sharper targeting and clearer message quality helped outreach convert with better-fit accounts.
Case study
TAM Precision Engine
4,542 companies scored. 53 Tier 1 accounts identified. 1.2% precision from a multi-dimensional scoring pipeline.
Case study
The Shippers vs. Carriers Routing Hub
Split homepage flow by buyer type, rebuilt message hierarchy around actual pain points, mapped CTA paths to distinct commercial intents.
Case study
The GTM Automation Stack
40-minute manual workflow compressed to under 3 minutes. 14 integrations, 5 AI agents, human-in-loop approval gates.
Case study
Signal Intelligence System
1,451 signals matched to TAM companies across 6 sources. Continuous monitoring with AI-powered trend analysis.
What this work is really proving
Good companies do not lose because they cannot operate. They lose because they sound like everyone else, show proof in the wrong order, and force buyers through weak paths. DWTB exists to fix that gap fast and ship it cleanly.
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