Skip to main content
Explanation

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.

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

image-20260213-142426.png

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:

SourceSubtotalTotalModel
Internal (demo)$20.00$31.12Single 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:

  1. Always append proper UTM parameters to paid traffic URLs.

  2. Enable conversion logging for affiliate pixels.

  3. Verify postback URLs are configured correctly.

  4. Confirm click IDs (gclid, msclkid) are preserved through checkout.

  5. Test affiliate flows using non-test payment methods.

  6. 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.

Was this page helpful?