Amazon's key to success, perfectly decoding SQP data with 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 Business, called 'SQP(Search Query Performance)'. Many sellers are aware of this data but are overwhelmed and ignore it due to its complexity and vastness. However, ignoring SQP data any longer is like putting your most powerful weapon in storage and going to war empty-handed.

In today's 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 awaken this sleeping giant and turn it into your loyal strategist.

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How are you judging your advertising performance?
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If you're an Amazon seller, you probably look at PPC ad reports daily, turning campaigns on and off based on ACoS and ROAS figures. 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 just based on a small part of the iceberg?

The advertising data we typically see only shows what's happening within the 'net' of the campaigns we set up. However, customers find, discover, and purchase our products through a much more diverse and unpredictable range of search terms outside that 'net'. SQP data is the only data capturing that world outside the 'net' — raw search terms in customers' minds and all interactions with our products.

From startling discoveries like "Our product sells with these keywords too," to clear answers to "Why are there many clicks but no purchases?", all strategic decisions in Amazon business are hidden within this SQP data.

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Treasure map, but if you can’t decode it
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Despite its importance, why do most sellers fail to properly utilize SQP data? If you’ve downloaded the SQP report provided by Amazon, you’ll immediately understand the reason.

Amazon provides this valuable information in huge Excel files sometimes tens of thousands of rows long. Each brand, ASIN, search term exposure, clicks, add to cart, and purchase are all intertwined like a maze of numbers and text. Even sellers who understand this data find it nearly impossible to identify meaningful patterns and turn them into actionable strategies.

Eventually, this treasure map becomes just a 'dream' sleeping in the computer files for most sellers. They continue to operate ads based on limited reports and guesses, inefficiently wasting their precious advertising budget. All while unaware that they're pouring water into a leaky bucket.

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AI, transforming complex data into clear action strategies
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What if there was an AI analyst that could analyze this seemingly indecipherable treasure map in minutes, and tell exactly where the gold is hidden and where the traps are?

SellerVisor has developed AI-based SQP analysis features to solve this. Now, sellers no longer need to waste time wrangling with Excel maze. Just upload the downloaded SQP file into the system, and AI will extract core insights to grow your business and present clear 'Action Plans.'

AI not only summarizes data but also provides answers to specific and strategic questions like:

What are the 'golden keywords' that actually lead to purchases? AI analyzes the exposure, clicks, and final purchase conversion rate of all search terms with precision, accurately identifying the core keywords currently driving revenue efficiently. Now you can focus your ad budget on keywords proven to sell, rather than just 'likely to sell' keywords.

What are the 'zombie keywords' draining your ad budget without leading to sales? Keywords that generate clicks but not purchases are the main culprits draining your ad spend. AI identifies these keywords, diagnoses whether the issue is insufficient product page persuasion, pricing competitiveness, or lack of relevance between keyword and product, and suggests concrete solutions like listing optimization or ad exclusion.

Where are the 'new opportunities' we are missing? Customers often find and buy our products through unexpected search terms. AI uncovers these surprising 'opportunity keywords' and provides new advertising campaign ideas and strategic clues to expand potential customer base.

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Conclusion: Moving beyond data analysis to data utilization
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Success on Amazon is no longer about who sees more data. It's about who can extract faster and more accurate actionable insights from complex data. SQP data is the most powerful weapon to win that race, and AI is the revolutionary tool that makes it accessible to everyone.

From now on, Amazon sellers will be divided into two groups: those wasting time in front of huge Excel files, and those quickly progressing towards success with data-driven insights enabled by AI.

While others hesitate in the face of data complexity, those who leverage AI to follow clear action plans will maximize ad efficiency and growth. The opportunity to succeed is right in front of you.

SellerVisor's new AI features will soon be available to all users. If you want to experience this innovative feature first, start your 14-day free trial now and wait. You can be among the first to experience data-driven growth.

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SellerVisor 14-day free trial

https://www.sellervisor.com/

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Thank you for reading this long article.

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