Technical Measurement Assessment
Get an expert audit of your eCommerce analytics and data architecture. We identify signal leaks, data divergence, and AI search opportunities.
QUESTION 1 OF 1010%
What is your brand's average monthly paid ad spend across Meta and Google?
Under $10,000 / month
$10,000 – $20,000 / month
$20,000 – $50,000 / month
$50,000+ / month
Which platform powers your primary eCommerce storefront?
Shopify / Shopify Plus
Selldone API / Headless Custom Build (Vue.js / React)
WooCommerce / Magento
Other / Legacy Architecture
How is your conversion tracking currently configured?
Browser-side pixels only (Standard Meta Pixel / Google tag pasted in theme)
Basic Shopify native app integrations
Server-side GTM container on a custom subdomain
Unsure who built it or how it routes
When comparing yesterday's orders in your eCommerce backend against Meta Ads Manager, do the conversion counts match?
They match within 5%
Meta reports 15%–30% fewer purchases than our store backend
Meta claims credit for more orders than our store actually processed
We have no reliable way to verify the discrepancy
Are you currently sending hashed customer data (email, phone) directly to ad platforms via server-side APIs?
Yes — Meta CAPI is active with an Event Match Quality score above 8.0
Yes — but our Event Match Quality score is poor / unmonitored
No — we rely entirely on browser pixel cookies
Unsure what our CAPI status is
How is user cookie consent handled on your storefront for UK and EU traffic?
Google Consent Mode v2 is fully implemented with custom triggers
We have a basic cookie banner popup, but tags fire regardless
We do not display a consent banner
We don't know if Consent Mode v2 is active
Does your team stream raw, unthresholded marketing event data into a cloud data warehouse?
Yes — Google BigQuery export is active and queried via SQL
No — we rely exclusively on the GA4 standard reporting interface
We export CSV files manually into spreadsheets
We use third-party reporting tools (Triple Whale, Northbeam, etc.)
Have you checked what AI answer engines (ChatGPT, Perplexity, Gemini) say when users ask for product recommendations in your category?
Yes — our brand is cited and recommended consistently
Yes — our competitors are recommended, but our brand is absent
No — we have never audited our AI visibility
Our products lack structured JSON-LD schema markup
Who is directly responsible for maintaining your tracking and analytics tags?
Full-time in-house data engineer / marketing operations specialist
Our paid media marketing agency handles tracking tags
A contractor who set it up originally but is no longer with the company
Nobody directly owns tracking infrastructure
What is your team's estimated capital budget to audit and repair your tracking architecture this quarter?
Under $1,500
$1,500 – $5,000
$5,000 – $15,000
$15,000+
SCORECARD DIAGNOSTIC RESULTS
YOUR MEASUREMENT RESILIENCE SCORE — 48 / 100
STATUS: CRITICAL SIGNAL LOSS DETECTED
• Signal Capture: (High exposure to ad-blocker & Safari ITP loss)
40/100
• Conversion Coverage: (CAPI unconfigured / missing hashed match keys)
55/100
• Consent Architecture: (Consent Mode v2 inactive; traffic marked 'not set')
30/100
• Data Structure: (Unstandardized event naming across channels)
60/100
• Journey Evidence: (Funnel dropout points unmonitored)
50/100
• Decision Readiness: (No raw BigQuery pipeline; relying on sampled GA4)
55/100
ESTIMATED ATTRIBUTION GAP — 18% – 25% of purchases unallocated to paid media.
Book Your 15-Minute Scorecard Review Call
Review your diagnostic findings directly with our Lead Measurement Architect. We will screen-share your storefront tags and identify your exact conversion leakage points.
Book Your 15-Minute Scorecard Review Call✓
Assessment Request Received
Our architecture team will review your diagnostic scorecard and storefront setup, and reach out within 24 hours to schedule your scoping session.
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