How to Use AI Automation for Google Ads Campaign Restructuring

Or Arbel
Or ArbelJul 24, 2025

Most Google Ads accounts I've seen look like an attic. Campaigns from a 2022 holiday promo still running. Two ad groups bidding on the same keyword. A Smart Bidding strategy that made sense when the account had a tenth of the spend. You know the structure is holding you back, but pulling a single thread feels like it might unravel the whole thing.

The upside of cleaning it up is real. Two public case studies I keep coming back to show 104% ROAS lifts and 73% CPA drops from restructuring alone. The catch is that doing the analysis by hand, across years of data and dozens of campaigns, is the kind of project that gets put off forever.

That's where AI earns its keep: reading the whole account at once, spotting the overlap you can't see, and giving you a sequence to make changes without torching what already works.

Why Restructuring Actually Moves Numbers

These aren't theoretical gains. Both examples below are public, with named agencies and documented results.

Case Study 1: 104% ROAS Lift From Audience-Based Restructuring

PPC Hero wrote up a restructuring project where they ripped up a standard product-based setup and rebuilt it around audience segments. Their description of what happened after launch:

"After launching the massive amount of new campaigns, there was an initial learning phase and then we moved into taking action on these campaigns. Between pausing low performing campaign/audience segments, adding in negative keywords to their respective campaigns, and scaling based on the performance we were able to do wonders to the account's efficiency."

The results they reported:

  • ROAS up 104%
  • CTR up over 100%
  • Revenue per click up over 100%
  • Ecommerce conversion rate up over 100%
  • Traffic down 50%, revenue up

The mechanic is worth understanding. They didn't just tweak settings. They multiplied their product campaigns out by gender, age band, and region:

"We took the standard set of product-based campaigns and multiplicated them for each gender, age group, country/region that we are advertising in. For example, females between 35-44 in North America, and more specifically, Canada or the US received their own entire campaign with the prior structure."

This is the kind of rebuild that looks insane on a spreadsheet and obvious in hindsight.

Case Study 2: 73% CPA Drop During Peak Season

EM Marketing documented a restructuring for a global 3D virtual experiences business. They had three months to improve efficiency without losing growth during peak.

Their approach:

"We decided to restructure the AdWords accounts based on conversion event (registration vs. app download vs. upsell) and campaigns based on country tiers."

The results:

  • CPA down 73%
  • ROAS tripled
  • Revenue grew even though traffic fell

Their framing of the problem is the useful part:

"When the goal is to become efficient with your campaign, you can start with the 80/20 rule. In this case, we focused on who was truly driving the paid subscriptions based on gender, age, and country."

Both teams basically did the same thing: stopped treating the account as a list of products and started treating it as a list of buyer intents.

Where AI Fits In

The hard part of restructuring isn't the restructure. It's the analysis beforehand: which campaigns overlap, which segments actually convert, which keywords cannibalize each other, and what sequence of changes preserves revenue while you rebuild.

Toffu's Google Ads integration runs that analysis from a conversation. You can ask it to:

  • Map your current structure and flag redundancies
  • Surface the restructure opportunities most likely to pay off given your data
  • Sketch a phased rollout so you're not flipping everything at once
  • Compare what an audience-based vs. conversion-event-based rebuild would look like for your account

A prompt that gets you a useful answer:

"Analyze my Google Ads campaign structure like the PPC Hero and EM Marketing case studies. I want to identify opportunities for audience-based restructuring, eliminate campaign overlap, and optimize for efficiency improvements similar to their 104% ROAS and 73% CPA improvements."

This is the foundation layer underneath campaign management — every other optimization you run is limited by the structure it runs on.

Meet your AI marketing teammateToffu helps you execute marketing strategies, analyze data, and make data-driven decisions—all through natural conversation. Sign up to boost your marketing with AI-powered assistance.Sign up for free

The Numbers Side by Side

MetricPPC HeroEM Marketing
ROAS+104%+200% (3x)
CPA−73%
CTR+100%
Revenue per click+100%
Ecommerce CVR+100%
Traffic−50%Down (exact figure not published)
RevenueUpUp

Different accounts, different industries, same pattern: less volume, more money.

Getting Started

If you want to try this yourself, open Toffu and start with something concrete about your account:

"I want to analyze my Google Ads campaign structure using the proven methodologies from successful restructuring case studies. Help me identify whether audience-based restructuring or conversion-event based structure would deliver better results for my account."

Structure is one of those things that's either quietly working for you or quietly working against you. Worth finding out which: toffu.ai.

Unlock AI-powered marketing playbooks and insightsJoin a community of forward-thinking marketers and stay ahead of the competition with Toffu's smart playbooks, data-driven analysis, and actionable strategies.Sign up for free