Event quality
Purchase, checkout and cart events; browser/server duplication; missing parameters and inconsistent values.
Is your store sending Meta Purchase events twice? →I help Shopify brands reconcile Meta, GA4, Klaviyo and Shopify so acquisition decisions are based on clean, consistent data—not competing dashboards.
No sales pitch. The goal is to understand the problem, prioritize what to validate and decide whether deeper investigation is actually necessary.
The review is designed to identify where events, attribution rules or reporting definitions may be creating misleading decisions.
Purchase, checkout and cart events; browser/server duplication; missing parameters and inconsistent values.
Is your store sending Meta Purchase events twice? →How Shopify revenue compares with Meta, GA4 and Klaviyo—and which differences are expected versus suspicious.
Why Meta ROAS doesn’t match Shopify →New versus returning customers, campaign attribution and whether reported ROAS reflects actual acquisition performance.
First orders versus renewals, recurring revenue classification and the risk of treating retention revenue as acquisition.
Quizzes, bundles, landing pages, post-purchase offers and the points where campaign context can disappear.
A practical source-of-truth framework so founders, marketers and agencies use consistent definitions.
The purpose is to understand your current setup, identify the highest-priority questions and leave you with a useful next step.
Your store, acquisition channels, main reporting concern and the tools currently in use.
We look at how the major platforms connect and where the numbers or definitions begin to diverge.
What to validate first, what can wait and what would require a deeper technical implementation.
The free call and the paid forensic audit are separate services. The diagnostic helps define the problem; the forensic audit is the deeper technical investigation.
A focused working session to understand the reporting concern, review the measurement context and identify what should be validated first.
A deeper technical investigation for cases that require account access, event-level testing and reconciliation across the measurement stack.
These are examples of diagnostic patterns—not assumptions about your store before it is reviewed.
One customer action can be recorded more than once. A deeper forensic review can validate implementation paths and whether the resulting ecommerce events are unique.
Purchase values, currency, event IDs or server-side matching can be missing or inconsistent, limiting attribution and optimization quality.
Campaign performance can look stronger when recurring orders are not separated from genuinely new customer revenue.
I'm Victor Orantes, a Shopify measurement consultant focused on tracking quality, event duplication, attribution discrepancies and the reporting systems DTC teams use to make acquisition decisions.
My approach is diagnostic: understand what each platform is measuring, identify where the data diverges and create a practical order of operations for fixing it.
Short, practical guides for common Shopify measurement questions. No generic analytics theory.
Learn which discrepancies are normal, which patterns deserve investigation, and what to validate before changing your tracking setup.
Understand which differences are expected, which patterns suggest a measurement issue, and what to validate before changing the implementation.
Learn how duplicate implementation paths and browser/server deduplication can affect purchase counts—and what evidence to validate before changing the setup.
A practical resource for founders and growth teams that want to know what to inspect when Meta, GA4, Klaviyo and Shopify do not agree.
Review revenue mismatches, duplicate implementations, purchase-event quality, browser/server deduplication and recurring-revenue classification.
The call is free, lasts 30 minutes and is held by Google Meet.
Calendar not loading? Open the booking page directly.
Book a free 30-minute Shopify measurement diagnostic and leave with a practical order of operations.