Amazon Cuts Jobs Adjusts FBA and Search Algorithms

Amazon Cuts Jobs Adjusts FBA and Search Algorithms

This article analyzes Amazon's layoffs, FBA inventory restrictions, and search algorithm updates from a data analyst's perspective, revealing the underlying business logic. It emphasizes the need for sellers to shift their mindset, leverage data analytics tools, and pay attention to market trends. Sellers should also research competitors and conduct A/B testing to develop more effective business strategies. Adapting to platform changes and focusing on data-driven decision making are crucial for long-term growth and success on Amazon.

Global Marketing Guide Optimizing ROI with Google Ads

Global Marketing Guide Optimizing ROI with Google Ads

This article provides an in-depth analysis of the five major Google Ads types: Search Ads, Shopping Ads, Display Network Ads, Video Ads, and App Install Ads. It emphasizes the crucial role of Google Analytics in data analysis and ad optimization, helping independent website sellers master overseas marketing and improve conversion rates. Understanding these ad types and leveraging data insights are key to successful Google Ads campaigns for independent businesses aiming to expand their reach internationally.

Airlines Use Data Analytics to Optimize Pricing Boost Competitiveness

Airlines Use Data Analytics to Optimize Pricing Boost Competitiveness

In a highly competitive market, how can airlines optimize their pricing strategies through intelligent data analysis? This article explores the importance of pricing teams focusing on route characteristics and market dynamics to make flexible decisions based on data. It also emphasizes the value of forecasting key market indicators to enhance overall revenue and competitiveness.

08/07/2025 Airlines
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Salta Airport Adopts SLA and SASA for Data Analytics

Salta Airport Adopts SLA and SASA for Data Analytics

This article, from a data analyst's perspective, provides an in-depth analysis of Argentina's Salta Airport (SLA/SASA), covering its code, geographical location, operational characteristics, and practical information. Through the interpretation and application of key data, it reveals the potential for data-driven improvements in airport operational efficiency and provides passengers with more comprehensive airport information. The analysis highlights how data insights can be leveraged to optimize airport processes and enhance the overall passenger experience.

Incheon Airport Rises As Global Hub with Data Analytics

Incheon Airport Rises As Global Hub with Data Analytics

Incheon International Airport leverages OAG Analyzer for data analysis, optimizing route development and transfer efficiency, solidifying its position as a regional hub. Features like 'virtual flights' enable the airport team to simulate new routes, assess their impact on transfer convenience, and improve decision-making quality and operational efficiency. This case demonstrates the importance of data-driven decision-making in modern airport operations. The analysis helps the airport to strategically plan and adapt to changing market demands, ensuring continued growth and competitiveness.

Predictive Analytics Boosts Supply Chain Resilience for Peak Demand

Predictive Analytics Boosts Supply Chain Resilience for Peak Demand

Peak season presents significant supply chain challenges, making accurate demand forecasting crucial. Companies should leverage data analysis and market trend insights to optimize inventory, transportation, and collaborate closely with suppliers. Investing in forecasting technologies and building a flexible supply chain are essential for effectively responding to unexpected events, ensuring business continuity, and enhancing competitiveness. Accurate prediction enables proactive planning and resource allocation, mitigating risks associated with increased demand and potential disruptions during peak periods.

Amazon Sellers Gain Edge with Sifs Crossborder Traffic Analytics

Amazon Sellers Gain Edge with Sifs Crossborder Traffic Analytics

SIF is a traffic analysis tool developed by Gonglan Network, helping cross-border e-commerce sellers optimize Amazon internal traffic, improve Listing and advertising performance, and achieve precise marketing and efficient conversion. It provides insights into customer behavior within the Amazon marketplace, enabling sellers to identify high-potential keywords, optimize product listings for better visibility, and refine advertising campaigns for maximum ROI. By leveraging SIF's data-driven insights, sellers can make informed decisions to drive sales and grow their business on Amazon.

Amazon Upgrades Analytics for Better Keyword Targeting in Listings

Amazon Upgrades Analytics for Better Keyword Targeting in Listings

Amazon's Brand Analytics has been upgraded with the introduction of ASIN View, empowering sellers to precisely target listing keywords, optimize ad campaigns, and boost organic traffic conversion. This feature allows independent analysis of keyword impact on different ASINs, measurement of 'clicks without conversion' keywords, expansion of listing traffic keywords, and negation of ineffective keywords. This enables refined operations, ultimately leading to increased sales and improved performance on the Amazon platform. It provides granular insights for better decision-making and enhanced campaign effectiveness.

Amazon Sellers Turn to Data Analytics for Product Success

Amazon Sellers Turn to Data Analytics for Product Success

This article offers a methodology for Amazon product selection, helping sellers precisely identify untapped viral products through competitor, search volume, sales, and profit analysis. It emphasizes the importance of data analysis to avoid blind product selection and achieve profitable growth. The methodology provides a structured approach to identify opportunities and make informed decisions, leading to increased sales and market share on Amazon.

MENA Customs Boost Data Analytics at WCO Doha Workshop

MENA Customs Boost Data Analytics at WCO Doha Workshop

The World Customs Organization held its first regional workshop on data analysis in Doha, Qatar. The aim was to enhance data analysis capabilities of customs administrations in the Middle East and North Africa (MENA) region and explore its applications in customs management. The workshop shared best practices and laid the groundwork for developing data analysis strategies in the MENA region. This initiative seeks to improve customs efficiency, promote trade security, and foster economic development by leveraging data-driven insights.