AI-Powered Ad Attribution Tool

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AI-Powered Ad Attribution Tool

Inspired by a conversation on:

Perpetual Traffic

Perpetual Traffic

PMAX vs. Standard Shopping: The $80K Test That Shocked Us

Host: Ralph Burns

Timestamp: 00:00:00 - 00:24:47

Listen to Episode • View Podcast • All Ideas from Perpetual Traffic

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Feather Flow

Direct Quote

"Performance Max campaigns aren't the silver bullet that everyone says they are."

Market Gap

Inaccurate ad attribution leads to poor marketing decisions.

Advertisers often face challenges in accurately attributing conversions to specific ad campaigns due to overlapping tracking and multi-channel marketing. This results in misleading data, where multiple campaigns claim credit for the same conversion, leading to confusion about which strategies are truly effective. For small businesses and agencies, this can result in wasted ad spend and ineffective marketing strategies. Current attribution solutions tend to be complex and can be difficult to implement, often leaving marketers without clear insights into their campaign performance. This makes it harder to make informed decisions about where to allocate resources and focus marketing efforts.

Summary

The business idea is to create an AI-Powered Ad Attribution Tool that accurately tracks and attributes conversions across multiple ad campaigns and platforms. This tool would use advanced algorithms and machine learning to distinguish between new and returning customers, providing clear insights into which campaigns are driving actual sales. It would address the common issue of overlapping credit among campaigns, allowing marketers to make data-driven decisions about their advertising strategies. Targeted at small to medium-sized businesses and marketing agencies, this tool would simplify the attribution process and enhance the accuracy of performance data, ultimately leading to better marketing outcomes. The podcast emphasized the need for better tracking and attribution, making this a relevant and timely solution.

Categorization

Business Model
SaaS
Target Founder
Technical
Difficulty
High
Time to Revenue
6-12 months
Initial Investment
> $10,000

Potential MRR (18-24 months)

Conservative
$5,000 - $10,000 MRR
Moderate (Most Likely)
$15,000 - $25,000 MRR
Optimistic
$30,000 - $50,000 MRR

* Estimates assume solo founder/bootstrap scenario with competent execution

Scores

Clarity
7/10
Novelty
8/10
Feasibility
6/10
Market Potential
8/10
Evidence
7/10
Overall
7.2/10
Found on October 7, 2025 • Analyzed on October 7, 2025 11:07 AM

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How should I validate this saas idea before building it?

2:34 PM

Great question! For a saas idea like this, I'd recommend starting with these validation steps:

  1. Customer interviews: Talk to Technical to understand their pain points
  2. MVP approach: Build a simple landing page to test demand
  3. Competitor analysis: Research existing solutions and identify gaps

Would you like me to help you create a specific validation plan for your high difficulty idea?

2:35 PM

Yes, and what about the technical implementation? Should I build this myself or hire a team?

2:36 PM

Based on your idea's complexity and 6-12 months, here's my recommendation:

Technical Strategy:

  • Start with no-code tools for rapid prototyping
  • Consider your technical background and available > $10,000
  • Plan for scalability from day one

I can help you create a detailed technical roadmap and resource allocation plan...

2:37 PM

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