We don't run the same playbook on every store.
Most agencies do. They have a deck, a process, a Notion template. We start by actually looking at your store.
Most agencies apply the same playbook to every store. We start by looking at YOUR data: purchase timing, variant selection sequences, scroll behavior, discount dependency. Then we find the specific structural problems costing you money.
We've spent years studying how D2C customers actually behave on Shopify stores. Not what they say in surveys. Not what heatmaps show. The actual behavioral signals that predict whether someone buys or bounces.
That's how we consistently find $30K to $70K a month in hidden revenue that other agencies miss.
Our Approach
Pattern Audit
We look at your store's behavioral data, not vanity metrics, and identify the 2 or 3 structural patterns costing you the most revenue. This takes 15 minutes, not 15 meetings.
Targeted Fixes
No 6-month roadmaps. We fix the highest-impact pattern first, measure the result, then move to the next one. Most fixes ship in days, not months.
Continuous Detection
Harvv monitors your store for new friction patterns after we fix the existing ones. Problems don't stop appearing. Your detection shouldn't either.
Who's Behind This
Jordan Olivas
Founder, AxiomState
Background in pattern recognition applied to ecommerce. Built Harvv, the behavioral analytics platform that detects what session recordings miss. Clients across off-road parts, performance dancewear, managed IT services, and enterprise retail.
Previously worked on loyalty program architecture at Sears ($12M impact). Now focused entirely on helping D2C brands on Shopify find and fix the structural problems that cost them $30K to $70K a month in hidden revenue.
Clients We've Worked With
Let's find your patterns.
15-minute audit. No pitch deck. Just your data and the patterns hiding in it.
Get Your Free Pattern Audit →