Managing Amazon PPC for Huge Catalogs: How to Handle 100,000+ SKUs

Your Amazon catalog has exploded. You’re managing tens of thousands, maybe even hundreds of thousands of SKUs. Spreadsheets are crashing, you’re drowning in data, and keeping your PPC campaigns profitable feels impossible.

This is a common problem for rapidly growing brands on Amazon. Most PPC tools and strategies simply aren’t built to handle that level of complexity. But don’t worry, scaling your advertising is possible.

In this article, we’ll break down the key strategies for managing Amazon PPC effectively when you have a massive product catalog. We’ll cover everything from campaign structure to automation, so you can regain control and drive profitable growth.

The Challenge of Scale: Why Standard PPC Tactics Fail

When you only have a few dozen products, it’s manageable to manually adjust bids and analyze search terms. But with 100,000+ SKUs, that approach becomes completely unsustainable.

Here’s what’s happening:

• Data overload: You’re bombarded with so much information that it’s impossible to identify meaningful trends or react quickly to changes.
• Manual inefficiencies: Simple tasks like updating bids or negating keywords become incredibly time-consuming.
• Missed opportunities: You’re likely missing out on valuable sales because you can’t effectively optimize every product in your catalog.
• Increased ACOS: Without proper management, wasted ad spend can quickly spiral out of control.

The reality is, traditional PPC methods break down at this scale. You need a fundamentally different approach.

Strategy 1: Segment Your Catalog for Better Control

The first step is to break your massive catalog into smaller, more manageable segments. This allows you to apply more targeted strategies and make more informed decisions.

Segment by Product Category

Group similar products together based on their category or type. For example, if you sell clothing, you might have separate segments for shirts, pants, and accessories.

• Benefit: Allows you to tailor your messaging and bidding strategies to specific product attributes.
• Example: A campaign promoting “premium organic cotton shirts” will likely perform better than a generic “clothing” campaign.

Segment by Performance

Divide your products into segments based on their historical performance. This allows you to prioritize your efforts on the most profitable items.

• High performers: Products with consistently high sales and low ACOS.
• Medium performers: Products with decent sales and moderate ACOS.
• Low performers: Products with low sales and high ACOS.

Segment by Margin

Not all products have the same profit margin. Segmenting by margin allows you to adjust your bids and budgets accordingly.

• High-margin products: Can afford higher bids and more aggressive targeting.
• Low-margin products: Require tighter cost control and more efficient bidding.

Strategy 2: Automate Everything You Can

Manual management is impossible at scale. You need to leverage automation to handle repetitive tasks and make data-driven decisions.

Rule-Based Automation

Set up rules to automatically adjust bids, pause underperforming keywords, and add new keywords based on predefined criteria.

• Example: “If a keyword has an ACOS above 50% for 7 days, decrease the bid by 10%.”
• Example: “If a search term converts at a rate of 10% or higher, add it as an exact match keyword.”

Algorithmic Bidding

Use algorithmic bidding tools to automatically optimize bids based on real-time data and machine learning.

• Benefit: Algorithmic bidding can adapt to changing market conditions and optimize for specific goals, such as maximizing profit or minimizing ACOS.
• Consideration: Requires careful monitoring and adjustments to ensure it aligns with your overall strategy. AdLabs excels at this balance between automation and control.

Search Term Isolation

The first step is to find the search terms driving sales, then isolate them in their own campaigns, and often in single keyword campaigns.

• Example: After running broad match campaigns, analyze the search term reports to find the high-performing search terms, and then set those up in their own campaigns as exact match to maximize efficiency.
• Pro Tip: Once you find the high performing search terms, make sure you negate them from all of the other campaigns to ensure you are only paying for those keywords in the isolated campaigns.

Strategy 3: Prioritize Data Analysis & Reporting

With a massive catalog, it’s crucial to have clear and concise reporting to track performance and identify areas for improvement.

Focus on Key Metrics

Don’t get bogged down in every single data point. Focus on the metrics that matter most to your business, such as:

• ACOS (Advertising Cost of Sale): Measures the efficiency of your ad spend.
• Conversion Rate: Percentage of clicks that result in a sale.
• Click-Through Rate (CTR): Percentage of impressions that result in a click.
• TACoS (Total Advertising Cost of Sale): Total ad spend divided by total sales.

Segmented Reporting

Create reports that segment your data by product category, performance, and margin. This allows you to identify trends and make more targeted decisions.

Regular Reviews

Schedule regular reviews of your reports to identify areas for improvement and adjust your strategies accordingly.

• Example: Set aside 1-2 hours per week to review your PPC performance and make necessary adjustments.
• Pro Tip: Use a tool like AdLabs to create custom dashboards and automate your reporting.

Real-World Example: Scaling a Supplement Brand

Let’s look at a real example. A supplement brand with over 150,000 SKUs was struggling to manage their PPC campaigns effectively. Their ACOS was consistently above 40%, and they were wasting a significant amount of ad spend.

Here’s how they turned things around using the strategies outlined above:

1. Segmentation: They segmented their catalog by supplement type (vitamins, minerals, protein powders, etc.) and by performance (top sellers, mid-range, and low performers).
2. Automation: They implemented rule-based automation to adjust bids based on ACOS and conversion rate. They also used algorithmic bidding for their top-selling products.
3. Reporting: They created custom dashboards to track key metrics, such as ACOS, conversion rate, and revenue, by product segment.

Results: Within 60 days, they reduced their overall ACOS from 42% to 28%, while simultaneously increasing their sales by 15%.

This shows that even with a massive catalog, it’s possible to achieve significant improvements with the right strategies and tools. Scott H., an AdLabs user, said it best, “TACOS is down significantly while sales are now happening across our entire catalog.”

Avoid These Common Mistakes When Scaling PPC

Managing PPC for huge catalogs comes with unique challenges. Here are some common mistakes to avoid:

• Ignoring low-performing products: Don’t let underperforming products drag down your overall performance. Pause them or reduce their bids to minimize wasted ad spend.
• Over-reliance on broad match: Broad match can be effective for discovery, but it can also lead to wasted spend. Focus on exact match and phrase match for your best-performing keywords.
• Lack of negative keywords: Neglecting negative keywords can result in your ads showing up for irrelevant search terms. Regularly review your search term reports and add negative keywords as needed. As Becky, another AdLabs user, said, “Current favorite feature is the search term analysis and negating terms directly from the interface.”

Tools and Resources for Managing Large Amazon PPC Accounts

Managing large Amazon PPC accounts can be overwhelming, which is why a lot of sellers turn to software like AdLabs to take the weight off. Here are some areas where AdLabs can help!

• Sophisticated Bidding Algorithms: Many AdLabs customers, such as Andrew Bailiff, rave about the bidding algorithm. Andrew states that “Having tested the likes of Pacvue, Perpetua, Skai, Helium10, you name it, none can compete with the level of sophistication behind the bidding algorithm at AdLabs.”
• Automated Reporting: With AdLabs, you can quickly generate reports that segment your data by product category, performance, and margin.
• Custom Dashboards: With AdLabs, you can create custom dashboards to track your key metrics.

Conclusion

Managing Amazon PPC for a massive catalog is challenging, but it’s definitely achievable. By segmenting your catalog, automating tasks, and prioritizing data analysis, you can regain control and drive profitable growth. The key is to find the right tools and strategies that fit your specific needs. If you’re feeling overwhelmed, AdLabs can help. We specialize in helping brands like yours scale their advertising effectively.

This article is based on Episode 113 of That Amazon Ads Podcast. Subscribe for weekly Amazon PPC strategies.