The key to Amazon's success, perfect decoding with SQP data AI

Hello, Amazon sellers.

In this post, I want to discuss the most sharp and fundamental data that determines the success or failure of Amazon businesses, called 'SQP (Search Query Performance)'. Many sellers are aware of this data but are overwhelmed by its complexity and volume, often ignoring it. However, ignoring SQP data any longer is like keeping a powerful weapon in the warehouse and going into battle empty-handed.

In this post, we will deeply explore why this data has the potential to cut your advertising costs in half and double your sales, and how AI technology can wake this dormant giant to make it your faithful strategist.

‍

How do you judge advertising performance?
‍

If you are an Amazon seller, you probably look at PPC reports daily to turn campaigns on and off based on ACoS and ROAS numbers. Finding keywords with high click-through rates and good conversion rates, and focusing your budget on them, is considered standard practice. But what if all these actions are based only on the tip of the iceberg?

The advertising data we usually see only shows what happens within the 'net' of already set campaigns. However, customers find, discover, and purchase our products with much more diverse and unpredictable search terms outside of our nets. SQP data is the only data recording all interactions with raw, unfiltered search terms in customers' minds and outside of our set campaign parameters.

From surprising discoveries like 'Our product sells with this keyword too,' to clear answers to 'Many clicks but no purchases,' all strategic decision-making in Amazon business is embedded in this SQP data.

‍

Treasure map, but if you can't decipher it
‍

Despite its importance, why do most sellers fail to utilize SQP data properly? If you've downloaded the SQP report provided by Amazon, you'll immediately understand why.

Amazon provides this valuable information in the form of extensive Excel files containing thousands or even hundreds of thousands of rows. Every customer journey—by brand, ASIN, search term, impression, click, add to cart, and purchase—is intertwined in a maze of numbers and text. Even sellers who know this potential struggle to find meaningful patterns and turn them into actionable strategies.

Ultimately, this treasure map ends up as a 'pie in the sky'—a sleeping image—in most sellers' computer files. Sellers still rely on limited advertising reports, leading to guesswork and speculation, and repeatedly waste their precious ad budget. Without realizing it, they continue to pour water into a leaky bucket.

‍

AI transforms complex data into clear action strategies
‍

What if there is an AI analyst that can analyze this seemingly indecipherable treasure map in just minutes, and precisely tell you where the gold is buried and where the traps are?

We, SellerVisor, have developed this AI-based SQP analysis feature to solve this problem. Now sellers no longer need to waste time struggling with Excel's maze. By simply uploading the downloaded SQP file into our system, AI will discover key insights from complex data that can grow your business and present them as clear 'Action Plans.'

AI not only summarizes data but also provides answers to specific strategic questions such as:

What are the 'golden keywords' that actually drive purchases? The AI analyzes the exposure, click-through rate, and final purchase conversion rate of all search terms in detail, accurately identifying the core keywords that currently generate the highest sales efficiency. Now, you can focus your ad budget on 'actually selling' keywords confirmed by data, rather than 'likely to sell' ones.

What are the 'zombie keywords' that waste advertising budget? Keywords that generate clicks but do not lead to purchases are the main culprits wasting your ad spend. The AI identifies these keywords and diagnoses whether the cause is unpersuasive product pages, price competitiveness, or lack of relevance between keywords and products, suggesting specific solutions such as listing optimization or ad exclusion.

Where is the 'new opportunity' we're missing? Customers search for and purchase our products with search terms we never expected. The AI discovers these unexpected 'opportunity keywords' and provides new ad campaign ideas, helping expand the potential customer base.

‍

Conclusion: Beyond Data Analysis, Toward Data Utilization
‍

Success on Amazon is no longer a matter of who sees more data. It’s about who can gain faster and more accurate actionable insights from complex data. SQP data is the most powerful weapon in that fight, and AI makes it easy for everyone to wield that weapon.

From now on, Amazon sellers will be divided into two groups: those who continue to waste time with massive Excel files, and those who leverage AI to quickly move toward data-driven success.

When others hesitate before data complexity, there is a great opportunity for you to maximize advertising efficiency and grow sales based on clear action plans provided by AI, starting right now.

SellerVisor’s new AI features will be distributed to all users soon. If you want to experience this innovative feature first, start the 14-day free trial now and wait. Seize the opportunity to experience data-driven growth faster than anyone else.

‍

SellerVisor free 14-day trial

https://www.sellervisor.com/

‍

Thank you for reading this lengthy article.

‍