Youmai Cloud Mini Program helps Amazon sellers control store data and optimize advertising anytime, anywhere. Conveniently view key data such as sales dashboards, sales details, and sales charts on your mobile phone for refined operations. Take advantage of a limited-time free trial. Don't miss out on this opportunity to streamline your Amazon business with data-driven insights and improve ad performance on the go.
The Amazon Search Query Performance dashboard is a crucial tool for brand sellers to unlock sales growth. By analyzing customer search behavior, sellers can optimize keyword strategies, improve product listings, adjust advertising campaigns, and discover new product opportunities. This dashboard provides key data such as search volume, click-through rate, and conversion rate, helping sellers comprehensively understand product performance and enhance their competitiveness on the Amazon platform. It allows for data-driven decisions to improve visibility and drive sales.
Amazon has launched two new features, "Search Performance" and "Search Term Performance," to help brand sellers refine their operations. By analyzing data at the ASIN and keyword level, sellers can diagnose sales funnel issues, optimize keyword strategies, seize market opportunities, and achieve data-driven performance growth. These features empower sellers to understand how their products are performing in search and how customers are finding them, enabling more informed decisions and improved campaign effectiveness.
This article analyzes Walmart Listing optimization from a data analyst's perspective. It delves into key areas such as keyword optimization, copywriting, improving quality scores, and product image optimization. The aim is to help sellers create high-quality listings that maximize product sales on Walmart's platform. By leveraging data-driven insights, sellers can enhance their listing's visibility and conversion rates, ultimately leading to increased revenue and improved overall performance within the Walmart marketplace.
Overreporting of conversion events in Meta Ads is a common issue. This article, from a data analyst's perspective, details the steps to investigate and correct inflated conversion event counts. It covers differentiating between Ads Manager and Events Manager, checking for deduplication issues, analyzing event trigger URLs, reviewing event setup, and simulating user conversion flows. By systematically troubleshooting and correcting these areas, advertisers can obtain more accurate conversion data, enabling them to optimize their ad campaigns effectively.
Fluctuations in native advertising performance are a common challenge for optimizers. This paper analyzes the causes of traffic fluctuations from both quantitative and qualitative perspectives, offering optimization strategies for channels, budgets, and creatives. It proposes a data-driven traffic control process, emphasizing the evaluation of periodic costs and overall effectiveness. The aim is to enhance the stability of native advertising campaigns and improve predictability in performance, allowing for more effective resource allocation and campaign management.
This article provides an in-depth review of Houbird Fingerprint Browser and Bit Browser from a data analyst's perspective. It compares and analyzes their strengths and weaknesses in terms of security, ease of use, speed, and platform support. The aim is to offer selection advice to help users choose the appropriate privacy-protecting browser based on their specific needs. The comparison covers key features and performance metrics to assist users in making informed decisions regarding their online privacy and security.
Amazon Advertising launched a new "Products" page, integrating SKU-level advertising data to help sellers analyze profitability and avoid blind optimization. This feature provides optimization suggestions without relying on third-party tools, although it currently excludes Sponsored Brands campaign data. It's a valuable tool for profit-driven operators, enabling them to understand the performance of individual products and make informed decisions to improve their bottom line.
This article delves into TikTok Pangle Brand Safety features, offering data-driven placement blocking strategies and refined testing methodologies to help advertisers optimize Pangle placement performance. It details how to exclude low-quality placements by analyzing collected data and how to improve conversion rates by categorizing and testing different placement types. The goal is to assist advertisers in maximizing the value of their Pangle placements. The article provides practical insights for improving ad performance and brand safety within the Pangle network.
This article details how to leverage the negative keyword function in Naver Shopping Search Ads to analyze keyword click data. By accessing the ad management system, locating the target ad group, viewing detailed information, and analyzing keyword impressions, clicks, and costs, cross-border e-commerce sellers can effectively identify high-click, low-conversion keywords. Excluding these keywords allows for optimized ad spending and improved advertising effectiveness. This process helps maximize return on investment by focusing on keywords that drive actual sales rather than just clicks.
