Introduction

The Attribution Analysis diagnostic tool provides an AI-powered analysis of an individual order’s shopping session. It evaluates tracking parameters, affiliate data, session history, and integration logs to determine how revenue attribution occurred and where tracking gaps may exist.

Attribution Analysis now includes server-side integration logs for 11 advertising platforms. You can now see exactly what data is being sent to each platform and verify that your conversion events are firing correctly — no more guessing whether the server-side handoff worked.

Facebook Conversion API
Google Measurement Protocol
TikTok
Twitter/X
Snapchat
Pinterest
Taboola
Everflow
Hyros
Northbeam
Wicked Reports.

This tool is designed to:

Identify how marketing attribution was applied
Detect missing or malformed UTM parameters
Analyze affiliate tracking and postback activity
Review conversion pixel execution
Flag potential test traffic or configuration issues
Provide actionable recommendations

The output includes an executive summary, attribution breakdown tables, and detailed step-by-step session analysis.

Navigation

To access Attribution Analysis:

Navigate:
Main Menu → Operations → Order Management → View Orders → Reviewing Order View
From the Review Order Page
Mouseover → Actions Menu → Diagnostics → Attribution Analysis

How UltraCart Uses AI for Attribution Analysis

UltraCart securely feeds structured diagnostic data into its AI models to analyze attribution behavior.

The AI model does not browse your storefront or external systems. It analyzes only structured session and order data captured internally by UltraCart.

Data Provided to the AI Model

The following data elements are included in the analysis:

1. Order Data

Order ID
Subtotal and total
Items purchased
Shipping method and destination
Payment method
Order timestamps
Marketing source flags
Paid traffic indicators

2. UTM Parameters

Captured from:

Landing page URLs
Session tracking properties
Order-level marketing fields

Includes:

utm_source
utm_medium
utm_campaign
utm_content
utm_term
Click IDs (gclid, msclkid, etc.)

The AI evaluates:

Single-touch vs multi-touch
Last-click vs first-click behavior
Missing parameters
Internal vs external attribution

3. Affiliate Tracking Data

Affiliate ID parameters in URLs
Affiliate network configuration
Commission structure
Order-level affiliate linkage
Affiliate postback status

The AI verifies:

Whether affiliate parameters were detected
Whether conversion pixels were configured
Whether postback calls were logged successfully
Whether commissions were recorded

4. Page View History

Full session journey including:

Timestamped page views
Time-on-page
URL paths
Query parameters
Session metadata

This allows the AI to reconstruct:

Entry point
Funnel progression
Checkout behavior
Duplicate page loads
Potential tracking drop-offs

5. Affiliate Network Configuration

The model reviews:

Active affiliate networks
Pixel-based vs postback-based tracking
Network-level integration settings
Conversion logging requirements

6. Integration Logs

UltraCart includes server-side diagnostic logs such as:

Affiliate postback attempts
Pixel handler execution logs
Conversion event dispatch attempts
Error states
Success confirmations

These logs are critical for identifying:

Silent failures
Unfired pixels
Handler syntax errors
Missing credentials

7. Tracking & Conversion Pixel Diagnostics

The Attribution Analysis tool evaluates both:

Client-Side Tracking Pixels

Examples:

Google Ads conversion pixels
Facebook/Meta Pixel
Bing Ads tracking
Custom HTML conversion scripts

The AI checks:

Whether pixel handlers were configured
Whether required parameters were present
Whether receipt-page firing conditions were met
Whether logging was enabled for diagnostics

Server-Side Conversion Logging

Where applicable, UltraCart logs:

Affiliate postbacks
API-based conversions
Secure webhook transmissions
Payment success state validations

Note: If conversion pixels are configured as client-side only and logging is disabled, attribution visibility may be limited.

8. Test Credit Card Usage Detection

The AI evaluates whether:

A known UltraCart test card was used
The order matches typical test patterns
The traffic appears internal

This helps prevent misinterpreting test traffic as marketing attribution.

Report Structure

The Attribution Analysis report is divided into structured steps.

Step 1: User Journey Overview

This section reconstructs the session timeline:

Homepage entry
Product add-to-cart
Cart view
Shipping entry
Payment selection
Order receipt

Includes a table showing:

Timestamp
Time on page
URL
Key parameters
Metadata actions

This helps identify:

Tracking drop-offs
Duplicate page loads
Abnormal session timing
Funnel anomalies

Step 2: UTM Analysis

Evaluates:

Number of UTM touches
Attribution model applied
Revenue allocation
Click ID presence
Paid traffic signals

If no external UTM parameters are found, the order may default to:

Internal attribution
Direct traffic
Demo/test campaign

Step 3: Affiliate Network & Pixel Tracking

Evaluates:

Affiliate parameters in URLs
Matched affiliate networks
Conversion pixel configuration
Postback logs
Commission entries

Common findings include:

Affiliate parameters missing
Pixels configured but not logging
Networks enabled but incomplete setup
No commission ledger entries

Step 4: Attribution & Revenue Breakdown

The AI calculates attribution using:

Last Click
First Click
Position-Based
Linear

Example output:

Source	Subtotal	Total	Model

Source	Subtotal	Total	Model
Internal (demo)	$20.00	$31.12	Single Touch

If only one touch exists, 100% of revenue is assigned to that source.

Step 5: Potential Issues & Recommendations

The executive summary flags issues such as:

Conversion pixels configured but not firing
No affiliate postback detected
Missing UTM parameters
Paid traffic signals without attribution
Internal test order misidentified as real traffic
Landing pages not preserving click IDs

It concludes with clear action steps.

Step 6: Summary

Summarizes the track flow for the order.

Example Findings (Demo Order)

In the example test order:

No external UTMs were detected
No affiliate parameters were present
No affiliate pixels fired
No commission entries existed
Revenue was fully attributed to internal “demo” source

Tracking was technically functional for internal sessions, but no external marketing signals were captured.

Why Attribution Analysis Is Important

Without complete tracking:

Paid campaigns may appear underreported
Affiliate commissions may not trigger
Marketing ROI calculations may be inaccurate
External traffic may default to internal attribution

This diagnostic provides clarity into:

What was captured
What was missing
What failed to fire
Where configuration gaps exist

Best Practices

To ensure reliable attribution:

Always append proper UTM parameters to paid traffic URLs.
Enable conversion logging for affiliate pixels.
Verify postback URLs are configured correctly.
Confirm click IDs (gclid, msclkid) are preserved through checkout.
Test affiliate flows using non-test payment methods.
Review Attribution Analysis after configuring new integrations.

Conclusion

The Attribution Analysis diagnostic tool gives merchants a detailed, AI-assisted review of how attribution occurred for any individual order.

It combines:

Session reconstruction
UTM evaluation
Affiliate diagnostics
Pixel tracking verification
Integration log analysis

This ensures marketing attribution is transparent, accurate, and actionable.

Next Steps

Review your active affiliate networks under Marketing → Affiliates.
Validate conversion pixels under your StoreFront settings.
Run Attribution Analysis on recent paid orders.
Correct any flagged tracking gaps.
Re-test and confirm logs reflect successful firing.