We paid for the first order. Why isn’t there a second?
Customer behavior: We use order timing, margin, and cancellation reasons to decide who should get the next offer, when, and why.
We fix the systems behind repeat purchase, marketing decisions, and execution. The data, workflows, and code stay in your accounts, where your team can use them.
Bring one recurring problem. We’ll work out what to check first and what to do next.
Customer behavior: We use order timing, margin, and cancellation reasons to decide who should get the next offer, when, and why.
Trusted evidence: We reconcile Shopify, Klaviyo, checkout, and finance definitions before budget follows a number.
Owned execution: We keep lifecycle work moving with approved customer data, reusable content systems, and a visible queue for exceptions that still need a person.
We follow each decision from the customer signal to the number on the report and the action that follows.
See how the full system worksWhat changed in customer behavior? We map where attention, purchase, or repeat behavior stopped matching the plan.
What does the data actually support? We compare the likely causes and run the check that can rule each one in or out.
What should change first? We choose one focused repair, name the owner, and decide what happens if it fails.
We build in accounts your company controls. Your team keeps the data, definitions, workflows, models, code, monitoring, and operating history. We document the system and make failures visible, so someone on your team can own it.
In its first six weeks, Klaviyo-attributed revenue per recipient moved from $0.36 to $2.73.
Read the welcome flow case ↗The early rollout joined affiliate research, review, tracking, and payment work for one six-brand DTC portfolio.
Read the affiliate operations case ↗See what customers and competitors can already see.
The free Outside-In Assessment reviews your public buying journey, positioning, visible technology, and market signals.
It shows where another company may look clearer, more credible, or easier to choose. It also names what internal evidence would confirm the risk.
The Deep Dive connects those public clues to customer, margin, workflow, and financial data. We use that evidence to choose the first repair.