Introduction
Managing an Amazon store can be a challenge, especially when you have to balance different advertising strategies for new and established products. You need to drive rapid growth for new ASINs while maintaining stable performance for your bestsellers.
If you've ever asked yourself:
- "How do I quickly get visibility for my new products?"
- "How can I maintain a stable ACOS on my top sellers?"
- "How do I prevent human error from impacting my ad performance?"
- "What's the best way to allocate my ad budget across my entire catalog?"
You're not alone. Many sellers face these exact same questions. Traditional manual Amazon PPC management often falls short, making it difficult to achieve the precise control and dynamic adjustments needed to scale your business.
The Dual Challenge of Traditional Ad Management
In Amazon operations, new and established products have completely different promotional needs. For established products, their listings—including images, copy, and descriptions—are already market-validated and relatively stable. Therefore, advertising for these products focuses on maintaining stable performance and continuous optimization.
New products, however, are a different story. All elements of their listings need to be adjusted and tested to find the best-performing combination. Their advertising strategy must be more aggressive to quickly acquire traffic and data for validation.
With traditional manual ad management, you rely on a specialist to analyze search term reports, adjust bids, and allocate budgets. This process is slow, inefficient, and prone to error, especially when dealing with vast amounts of data. Subjective decisions can lead to ad performance swings, making it difficult to achieve consistent results.
When you manage ad campaigns for both new and established products manually, intervention often leads to:
- Lagging Strategy Execution: You're always one step behind the market.
- Poor Budget Management: It's hard to allocate resources precisely to where they will have the most impact.
- Wasted Ad Spend: You might overspend on underperforming keywords or products.
For many sellers, this is a real bottleneck to growth. The good news is, there's a better way to do this.
DeepBI's Intelligent Solution: A Smart Strategy Combination
DeepBI provides a complete, data-driven solution that simplifies and automates the entire process. Its strategies are designed to manage the unique needs of both your new and established products, ensuring your ad spend is always optimized for maximum return.
It's important to note that DeepBI's ad plan is completely new and runs parallel to your existing ad campaigns, without inheriting or modifying your current settings. This allows you to test its performance without any risk.
The Four-Tier Funnel Mechanism for New Products
DeepBI's unique Four-Tier Funnel is specifically engineered to help your new products get discovered and grow quickly. Instead of relying on guesswork, the system takes an automated, phased approach to find high-converting keywords and ASINs.
- Exploration Tier: The system begins by running automated ASIN targeting campaigns. This helps you capture competitor traffic and identify what your target audience is searching for.
- Screening Tier: Based on initial sales data, the system automatically identifies seed keywords that are driving conversions with a healthy ACOS.
- Precision Tier: DeepBI's machine learning algorithms dig deeper to discover "gem" keywords with high conversion rates. These are the top performers that human operators might often miss.
- Scaling Tier: Once a keyword has been validated, the system aggressively allocates budget to it, ensuring your product gets a continuous flow of high-quality traffic.
This entire process is automated, so you can focus on other aspects of your business while DeepBI does the heavy lifting.
The Value of Data-Driven Insights: A Real-World Case Study
The value of DeepBI goes beyond theory; it's backed by real-world data. Here are two case studies from sellers in North America, demonstrating how DeepBI helps with both rapid new product launches and stable optimization of mature products.
Case Study 1: North American Maternal & Baby Products - New Product Launch
This case highlights a typical new product launch in the maternal and baby category, where a seller successfully utilized DeepBI.
The data shows that with the DeepBI ad plan, sales experienced sustained and stable growth while ACOS was maintained within a healthy range. This stands in stark contrast to their concurrent manual ad plan, where sales growth was accompanied by significant ACOS fluctuations and unstable efficiency.
Over the new product launch phase, DeepBI ad plan sales grew from approximately $1,500 in February to $3,900 by August, marking a 160% increase. In the same period, the manual ad plan's ACOS fluctuated widely between 40% and 75%, indicating a lack of stable efficiency.
This case strongly proves how DeepBI achieves a perfect balance between sales and efficiency during a new product launch, helping sellers quickly capture market share.
Case Study 2: North America - A Specific Vehicle Category
This case study focuses on a mature product that has entered a stable growth phase. Unlike a new product that aims for explosive growth, the primary goal here is to improve ad efficiency, maintain stable sales, and maximize profit.
The data shows that from February to August, the DeepBI ad plan's sales (blue bar) maintained steady and consistent growth, increasing from about $2,000 to approximately $6,000, and gradually surpassing the user's ad sales (purple bar).
More importantly, the DeepBI ad plan's ACOS (green line) consistently remained in a healthy and stable range of 10-20%, which was significantly better than the user's ad plan's ACOS (yellow line). The user ad plan's ACOS soared from 35% in February to 70% in April, showing extreme instability and low efficiency.
This case powerfully demonstrates how DeepBI's intelligent optimization helps a mature product steadily grow sales while significantly boosting ad efficiency, ensuring a healthy return on ad spend and a larger profit margin.
DeepBI's Key Advantages
Real-Time Responsiveness
Unlike traditional manual operations that rely on delayed data, DeepBI uses real-time data analysis and machine learning to make minute-by-minute dynamic adjustments. The system captures every traffic peak and abnormal budget consumption, ensuring the ad account is always in an optimal state.
This real-time responsiveness means sellers no longer have to worry about missing the best adjustment windows. The system acts like a tireless operations expert, monitoring ad performance 24/7 and making precise decisions.
Automated, Data-Driven Decisions
DeepBI bases all its decisions on objective metrics like conversion rate and ACOS, avoiding the subjective biases inherent in manual operations. The system continuously refines its decision-making models through machine learning algorithms, making ad targeting increasingly precise.
Automated decision-making not only significantly reduces labor costs but also dramatically improves the accuracy and consistency of decisions. Sellers don't need complex data analysis skills to benefit from professional ad optimization.
Summary: The AI Revolution in Ad Operations
Amazon ad optimization has entered the age of AI. While traditional manual methods still have their place, they are clearly insufficient to handle the massive data and rapidly changing market environment. DeepBI provides a more efficient and precise ad optimization solution through its intelligent and dynamic bidding strategy.
By using DeepBI, the most noticeable change you will see is a significant improvement in your ad ROI. The system's data-driven dynamic bidding achieves the perfect balance between ad spend and conversion results. More importantly, it helps sellers build a sustainable competitive advantage in the fierce Amazon marketplace.
If you're struggling with your Amazon ad optimization, consider giving DeepBI a try. We believe it can bring you unexpected surprises, helping you go further and faster on your Amazon journey. In this data-driven era, letting AI power your ad operations might just be the key to your business breakthrough.
