Ad Scaling Optimization Software

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Ad Scaling Optimization Software

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

"What if I told you if you had a framework that would allow you to triple your ad spend without killing your profitability?"

Market Gap

Advertisers struggle to scale ad spend profitably.

Many advertisers hit a wall when trying to scale their ad spend due to inefficient allocation, leading to diminishing returns and increased costs per acquisition. This problem is particularly pressing for small businesses and startups that lack the resources of larger companies. They often find themselves recycling the same audience rather than reaching new customers, which limits growth. Current solutions like Performance Max campaigns promise efficient scaling but often fail to deliver measurable results in acquiring new customers. The inability to effectively scale ad spend without sacrificing profitability creates a significant challenge in the competitive digital advertising landscape.

Summary

The proposed business idea is to develop an Ad Scaling Optimization Software that helps advertisers effectively manage and optimize their ad spend across various platforms, including Google Ads. This software would utilize data-driven insights to identify the most profitable allocation of funds between different campaign types, such as Standard Shopping and Performance Max. By implementing a framework that analyzes historical performance, audience engagement, and conversion rates, this tool could help advertisers triple their ad spend while maintaining or even improving profitability. The target audience would be small to medium-sized businesses and marketing agencies looking to enhance their advertising strategies. This idea leverages insights from the podcast episode, which emphasized the need for a systematic approach to scale ad spend efficiently.

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 - $30,000 MRR
Optimistic
$40,000 - $70,000 MRR

* Estimates assume solo founder/bootstrap scenario with competent execution

Scores

Clarity
8/10
Novelty
7/10
Feasibility
6/10
Market Potential
9/10
Evidence
8/10
Overall
7.6/10
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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