Industries

DTC & ecommerce brands

Brands between $5M and $200M in revenue have enterprise-grade data problems and mid-market budgets. We built our practice for exactly that gap.

What we hear from CMOs

Shopify, Amazon, Meta, Google, TikTok, Klaviyo and the ledger all tell a different revenue story
The weekly report takes a day to assemble and nobody fully trusts it
Attribution tools disagree with each other and with finance
The team is using AI individually, with no shared workflows or data policy
Agencies and tools multiply but the hours in the week do not

Not on this list? Most platforms expose an API or an export. We have yet to meet a DTC stack we could not connect.

Automate the work
AI workflow automation that removes the manual steps between your tools, your reports and your campaigns.
- AI workflow automation
Unify the data
Marketing data engineering that joins Shopify, ads, email, CRM and finance into one warehouse your team trusts.
- Marketing data engineering
Own the intelligence
Custom AI tools and private LLMs on open-weight models, running in your AWS account, trained on your data.

Our team's work in retail, financial services and technology. Ecommerce-specific studies are added as engagements complete.

−33%
operating cost
Back-office automation for a UK financial services firm
Automated document intake, reconciliation and reporting across a 60-person operations team.
Read the story
+39%
conversion
Sales operations rebuild for a South African retailer
Unified CRM, ecommerce and store data into one pipeline and gave the sales team AI-assisted follow-up.
Read the story
−36%
tickets
AI customer support for a US technology company
A support copilot and self-service assistant grounded in product documentation and order history.
Read the story

A 30-minute discovery call with our founder. We will tell you honestly whether an engagement makes sense and where the first return would come from.