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attribution-modeling

Implement multi-touch attribution models to allocate revenue across UTM-tracked marketing channels.

3|1|Updated Mar 21, 2026
Search Tags:#marketing analytics#ecommerce#ROAS#attribution modeling#utm tracking#multi-touch attribution#markov chain
One-click install
npx skills add https://github.com/tomtoto757/ecomm-ai-team --skill attribution-modeling-tomtoto757
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: attribution-modeling
Source: https://github.com/tomtoto757/ecomm-ai-team/tree/main/skills/analytics-reporting/finsilabs/data-analytics/attribution-modeling
Command: npx skills add https://github.com/tomtoto757/ecomm-ai-team --skill attribution-modeling-tomtoto757

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Every ad platform (Meta, Google, TikTok) claims 100% credit for the same conversions, so platform-reported revenue routinely exceeds actual revenue, making budget allocation decisions unreliable. This Skill sets up first-party, multi-touch attribution so you can see which channels truly drive purchases. ## Core Features & Use Cases - Platform-specific setup guides: Configure attribution on Shopify (Triple Whale, Polar Analytics), WooCommerce (Metorik + GA4), BigCommerce (Rockerbox), and custom/headless stacks (Segment + dbt). - UTM tracking standardization: Enforce lowercase naming conventions and configure auto-tagging across Google Ads, Meta, Klaviyo, and affiliate links to eliminate dark traffic. - Multi-model comparison: Compare first-click, last-click, linear, time-decay, and Markov chain models side by side, with revenue integrity checks against actual order totals. - Use Case: Meta claims $200K and Google claims $180K in attributed revenue, but total revenue was $250K. Use this Skill to de-duplicate cross-platform attribution and compute a realistic blended ROAS per channel. ## Quick Start Set up multi-touch attribution for my Shopify store and compare last-click versus linear revenue by channel.

Frequently Asked Questions about attribution-modeling

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up multi-touch attribution for a Shopify store?▼

Install Triple Whale or Polar Analytics from the Shopify App Store and connect your Meta, Google, and TikTok ad accounts under Integrations. These tools capture the full click path via a first-party pixel and show revenue under first-click, last-click, linear, and blended models side by side.

What is the difference between last-click and Markov chain attribution?▼

Last-click assigns 100% of revenue to the final touchpoint, while Markov chain attribution computes each channel's removal effect on the overall conversion rate from historical path patterns. Markov models suit stores with 10,000+ conversion paths; low-volume stores should use rule-based models.

Why does platform-reported revenue exceed my actual store revenue?▼

Each ad platform uses its own last-click model and claims full credit for the same orders, so attributed revenue overlaps across channels. Use a first-party tool like Triple Whale or Rockerbox to de-duplicate attribution and benchmark total attributed revenue against actual order revenue.

How do I fix orders showing as direct or none in attribution reports?▼

High direct traffic means UTM parameters are missing from campaign links. Audit UTM setup in each ad platform, enable auto-tagging in Google Ads, turn on Klaviyo's automatic UTM appending, and verify URL shorteners do not strip parameters.

Does attribution tracking still work after iOS 14 privacy changes?▼

Third-party pixel attribution is unreliable after iOS changes, so server-side first-party UTM tracking is essential. Use Meta's Conversions API through Klaviyo or Triple Whale to send server-side conversion events back to Meta.

What UTM naming conventions should I enforce across channels?▼

Always use lowercase values like utm_source=google, never Google or GOOGLE, since case variants are treated as different channels. Maintain a standardized list for utm_medium such as cpc, email, and social, and keep campaign names in a consistent format.

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