Kevin Baroukh

Kevin Baroukh · Selected work in DTC / CRO / Applied AI

From copywriting to CRO, six years of DTC experience now guide the AI systems I build.

Black-and-white portrait of Kevin Baroukh
Kevin BaroukhDTC · CRO · Applied AI

I learned the work inside agencies serving multiple €10M+ ecommerce brands, across copy, acquisition, creative strategy and conversion.

Today I use applied AI to research markets at scale, carry stronger signals into conversion work, and build custom applications, agents and automations around how teams actually operate.

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Built from real agency workflows.

What I learned across DTC now guides the systems I build.

I started in copywriting, moved into acquisition and creative strategy, then into CRO. Each role expanded the same question: how do you turn a real market signal into better work?

Applied AI now lets me connect those disciplines in one system, from research and production to tools teams actually use.

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What I build

Three ways I turn evidence into useful work.

Market intelligence

Map the market.

Connect competitor ads, transcripts and messaging to the landing destinations receiving the traffic.

Searchable competitor ad and transcript research
Listicle pattern research library
Customer question analysis
See market intelligence
Conversion design

Carry the signal.

Keep one precise market signal intact from creative and copy through the landing page.

Solawave landing page hero preview
Ridge landing page hero preview
Jones Road landing page hero preview
See landing pages
Internal systems

Build for the team.

Replace generic SaaS with custom applications, agents and automations shaped around the organization.

Custom DTC reference library
Interactive HTML reporting platform
CRO heatmap analysis
See custom systems

How I think about AI

Frontier models can already handle complex ecommerce workflows.Their real leverage comes from proven DTC and CRO expertise that helps them research deeply, execute precisely and improve over time.

My view on operating DTC in 2026

Connect AI to every signal the business already produces.

Acquisition is expensive. Every real interaction carries context. Customer language, calls, reviews, ads, pages and campaign results should feed one shared context layer instead of disappearing across disconnected tools.

Slack Drive Figma Sheets
AI connected to every signalCompany context
100% custom internal apps Higher signal precision Lower software overhead
  1. Listen everywhereConnect market, customer and internal signals.
  2. Find what resonatesKeep the evidence and context behind each signal.
  3. Expand preciselyTurn one signal into page, ad, video and CRM variations.
  4. Learn continuouslyMeasure the new work and feed the learning back.

The goal is not more AI output. It is a connected operating system that gives teams better context, cleaner collaboration and more ways to build from evidence.

See the work Discuss a project