Now building · Yewgo
AI for DTC that runs every week.
Every account I worked on had the same two problems: dashboards that were confidently wrong, and work that only happened when a person remembered to do it. Yewgo is the answer to both: AI that pulls the data, does the analysis, runs the routine work, and checks itself against the source of truth before anyone sees a number.
Four things Yewgo builds.
Analytics
Revenue models reconciled to the store's own orders within about 1%, cohort and LTV models, forecasts with a measured error, and the audits that catch what dashboards hide.
Automations
Monthly executive reports, weekly agendas, data pulls and performance packs that assemble themselves on a schedule. Only the strategic call stays manual.
Operating system for agencies
AI agent teams per channel (analytics, lifecycle, paid, SEO) behind a two-tier QA gate, plus a monthly SEO cycle that produced the client report, team workbook and technical queue for five brands.
Integrations
Klaviyo, GA4, Shopify, BigCommerce and the ad platforms wired into one reporting layer, so paid, email and on-site behaviour tell one story instead of three.
Numbers from the accounts I ran.
±1%
Revenue models that reconcile to the commerce platform before they forecast anything.
12%
of orders double-counted in one GA4 setup. The audits catch what dashboards hide.
5 brands
ran on one automated monthly SEO cycle: report, workbook, technical queue, dev escalations.
2-tier QA
Agent teams for analytics, lifecycle, paid and SEO, behind a truth-gate that gets stricter every pass.
Also
Klaviyo runs through all of it. If the question is how to get more out of the platform you already pay for, start with Klaviyo consulting →