Koro AI

In my analysis, around 60% of new product launches fail because brands rely on ‘hope marketing’ instead of structured assets. If you’re scrambling to create content the week of launch, you’ve already lost the attention war. The brands that win have their entire creative arsenal ready before day one.

TL;DR: Google Shopping Management for E-commerce Marketers

The Core Concept

Selecting a Google Shopping agency in 2025 isn’t about finding someone to adjust bids manually; it’s about partnering with a team that masters technical feed optimization and programmatic creative. The old model of ‘set it and forget it’ is dead, replaced by a need for rapid experimentation and data hygiene.

The Strategy

Successful brands now prioritize a ‘Feed-First’ methodology where the product data (titles, GTINs, custom labels) dictates campaign structure. This approach pairs technical precision with high-velocity creative testing to feed Google’s hungry AI algorithms like Performance Max.

Key Metrics

• Marketing Efficiency Ratio (MER): Target 3.0-5.0 (Total Revenue / Total Ad Spend) to ensure holistic profitability.
• Feed Health Score: Target >95% approval rate in Merchant Center to avoid invisible reach throttling.
• Creative Refresh Rate: Target 10+ new assets per week to combat ad fatigue in PMax campaigns.

Tools like Koro can automate the creative production side of this equation, ensuring your agency always has fresh assets to test.

What is Feed-First Management?

Feed-First Management is the strategic practice of optimizing raw product data—titles, images, and custom labels—before a single dollar is spent on ads. Unlike traditional keyword bidding, Feed-First Management specifically focuses on improving the quality signals Google uses to match products to search intent.

In my experience working with D2C brands, I’ve seen that 80% of ‘bidding problems’ are actually data problems. If your product title doesn’t contain the right attributes (Color, Size, Material), Google’s AI simply won’t show your ad, no matter how high you bid. The best agencies understand that the feed is the foundation of the entire account structure.

According to Shopify research, global ecommerce sales are projected to reach trillions, meaning the competition for ad inventory is fiercer than ever [2]. You cannot afford to have a sloppy feed. A Feed-First agency will use supplemental feeds to inject high-intent keywords into your product titles without altering your Shopify store’s frontend appearance.

The 30-Day Agency Vetting Playbook

Finding the right partner takes more than a Google search. Use this step-by-step framework to filter out the pretenders from the performance partners.

Phase 1: The Technical Audit (Days 1-7)

Before you sign anything, demand a technical audit. Do not settle for a generic slide deck. Ask them to look at your Google Merchant Center (GMC).

• Micro-Example: Ask them to identify 3 specific errors in your ‘Diagnostics’ tab and propose a fix.
• Red Flag: If they only talk about ROAS and never mention GTINs or disapproved products, run.

Phase 2: The Creative Capability Check (Days 8-14)

Modern Google Ads (especially PMax) requires video and image assets. Ask the agency how they handle creative production. Do they have an in-house studio? Do they use AI tools?

• Micro-Example: Ask, “How do you handle video assets for PMax? Do you charge extra for resizing?”
• The Reality: Most agencies charge hefty fees for creative. This is where hybrid models work best—using an agency for strategy and a tool like Koro for volume.

Phase 3: The Financial Alignment (Days 15-30)

Align their incentives with your business goals. Avoid agencies that only care about ‘Ad Spend’ percentage, as they are incentivized to just spend more of your money.

Task	Traditional Agency	Performance Partner	Time Saved
Pricing Model	% of Ad Spend (Incentivizes Waste)	Flat Fee + Profit Share (Incentivizes Growth)	N/A
Reporting	Monthly PDF PDF	Live Dashboard (Looker Studio)	5 hrs/mo
Communication	Account Manager (Gatekeeper)	Direct Slack Access to Buyer	10 hrs/mo

Top Agency Models: A Quick Comparison

Not all agencies operate the same way. Depending on your size and maturity, one model will fit better than the others.

1. The Full-Service Big Box

Best for enterprise brands with $100k+ monthly spend. They handle everything from SEO to Email to Paid Search.
* Pros: One point of contact, integrated strategy.
* Cons: Expensive, often slow to move, you might get assigned a junior account manager.
* Micro-Example: Publicis or WPP agencies.

2. The Boutique Specialist

Best for D2C brands doing $20k-$100k/mo. These shops specialize only in Google & Paid Social.
* Pros: Deep expertise in SKU-level Bidding and Negative Keyword Sculpting.
* Cons: Limited scope; you’ll need other partners for email or creative.
* Micro-Example: Tier 11 or Common Thread Collective.

3. The Hybrid AI-Assisted Model

Best for agile brands who want control. You keep strategy in-house or with a consultant, but use AI tools to execute the heavy lifting of creative and data.
* Pros: Lowest cost, highest speed, total control.
* Cons: Requires you to be hands-on with tools.
* Micro-Example: Using Koro for creative generation while a freelancer manages bids.

Why Most Agencies Fail at Performance Max (PMax)

Performance Max (PMax) is Google’s ‘black box’ campaign type that automates targeting across YouTube, Display, Search, and Gmail. While powerful, it is a trap for lazy agencies.

PMax requires distinct ‘Asset Groups’ to function correctly. A lazy agency will dump all your products into one asset group with generic copy. This signals to Google that every product is relevant to every audience, which dilutes your budget.

The Asset Gap:
The biggest failure point is a lack of creative assets. Google needs videos, square images, and landscape images to serve ads on all properties. If you don’t provide them, Google will auto-generate terrible videos from your static images.

• Micro-Example: A brand selling luxury watches having their ad appear on a children’s YouTube channel because the agency didn’t add negative placements or provide high-end video assets.

Around 60% of marketers struggle to produce enough content to feed these algorithms [1]. This is where the agency relationship often breaks down—they demand assets you don’t have.

The ‘Auto-Pilot’ Framework for Creative Scale

To solve the content bottleneck that cripples PMax campaigns, we developed the Auto-Pilot Framework. This is the exact methodology used to keep ad accounts fed with fresh creative without burning out your internal team.

Step 1: Automated Research

Instead of brainstorming in a vacuum, use data to dictate creative direction. Analyze competitor ads to see what hooks are working.

Step 2: High-Velocity Generation

This is where Koro shines. The goal is to turn one winning concept into 50 variations instantly.

Koro excels at rapid UGC-style ad generation at scale, but for highly specific, cinematic brand films with complex VFX, a traditional production studio is still the better choice. However, for the day-to-day volume needed for PMax, Koro is unmatched.

Step 3: Algorithmic Testing

Feed these assets into your PMax campaigns. The algorithm will quickly identify winners. Kill the losers, and use the winners to inform the next batch of generation.

• Micro-Example: If ‘User Testimonial’ videos are winning, use Koro to generate 10 more variations with different avatars reading the same script.

Case Study: How Verde Wellness Stabilized Engagement

Let’s look at a real-world application of this framework. Verde Wellness, a supplement brand, was facing a classic ‘scale’ problem. Their marketing team was burned out trying to post 3x/day manually, and their engagement had dropped significantly.

The Problem

They were relying on manual content creation. By the time a video was edited and approved, the trend it was based on had often passed. Their engagement rate had plummeted to 1.8%.

The Solution

They activated the Auto-Pilot Framework using Koro. The AI scanned trending ‘Morning Routine’ formats and autonomously generated and posted 3 UGC-style videos daily. This wasn’t about replacing their team, but augmenting them.

The Results

• Efficiency: They saved 15 hours/week of manual work.
• Engagement: Their engagement rate stabilized at 4.2% (more than doubling their previous baseline).

By automating the ‘churn’ of daily content, they freed their human team to focus on high-level strategy and partnerships.

How to Measure Success: Beyond ROAS

Return on Ad Spend (ROAS) is a vanity metric if your business isn’t profitable. A good agency will help you look deeper.

1. Marketing Efficiency Ratio (MER)

MER is Total Revenue divided by Total Ad Spend. It tells you if your marketing ecosystem is healthy overall.
* Micro-Example: If your Google ROAS is 4.0 but your MER is 1.5, you are likely over-attributing revenue to Google that would have happened anyway.

2. New Customer CAC

Are you just retargeting the same people? Force your agency to report on New Customer CAC.
* Micro-Example: Exclude past purchasers from your PMax campaigns to ensure you are acquiring new blood.

3. Feed Health Metrics

Monitor your Disapproval Rate in Merchant Center. Even a 5% disapproval rate can throttle your best-selling items.
* Micro-Example: Check for ‘Missing GTIN’ errors weekly. Products without GTINs are prioritized lower by Google Shopping.

Key Takeaways

• Feed-First is Non-Negotiable: Your agency must prioritize technical data optimization in Google Merchant Center over basic bid adjustments.
• Creative Volume Wins: PMax campaigns starve without fresh assets. Aim for 10+ new creative variations per week to maintain performance.
• Audit Before You Sign: Demand a technical audit of your current account and feed to verify the agency’s actual expertise.
• Look Beyond ROAS: Measure success using MER and New Customer CAC to ensure you are actually growing the business, not just recycling traffic.
• Automate the Grunt Work: Use tools like Koro to handle the high-volume creative production so your agency can focus on strategy.