All case studies
DTC E-Commerce·E-Commerce BrandAnonymized at client request

Full Marketing Automation Stack Built in 6 Weeks

Replaced 40+ hours/month of manual work with AI workflows. Lead nurturing, attribution tracking, and reporting all automated.

AI AutomationAttributionn8n
40+†
hours saved monthly
3.2x†
ROAS improvement
100%†
attribution coverage

† Figures marked † are internal estimates pending verification. We will replace them with audited numbers or remove them.

The problem

The marketing team was spending a large share of every month on work that happened the same way every time: moving leads between tools, assembling reports by hand, and reconciling ad platform numbers against actual orders.

Attribution was incomplete, so budget decisions were made on platform-reported numbers that did not match revenue.

What we built

Lead nurturing workflows

Behaviour-triggered email and SMS sequences built in n8n, fed by CRM and store events.

Server-side attribution

Order and lead events sent server-side so every conversion is tied back to the campaign that drove it.

Automated reporting

Scheduled performance reports delivered to the team without manual exports.

Stack

n8nMeta CAPIShopifyKlaviyo

Timeline

Durations pending confirmation
  1. 01Week 1

    Audit

    Workflow inventory and tracking gap analysis.

  2. 02Weeks 2–5

    Build

    Nurture flows, attribution pipeline, and reporting built in parallel.

  3. 03Week 6

    Deploy

    Cut-over, monitoring, and team handoff.

Have a similar problem?

Thirty minutes. We'll tell you whether this approach fits your stack and what the first build would be.