Amazon Vendor Central

AMC SQL Amazon Advertising AMC SQL Unveiled: Tips, Tricks, and Hidden Features One of the barriers to getting started with Amazon Ads Marketing Cloud is understanding the data and how to write AMC SQL. The datasets are complex, and AMC SQL has a steep learning curve. Ultimately, the goal of tapping into AMC data is to refine advertising strategy, have a deeper insight into AMC audiences and segments, and create a feedback loop where you have the capabilities to create actionable insights rapidly to optimize advertising campaigns. Amazon Marketing Cloud AI Copilot This post demonstrates various examples of AMC SQL queries and how to gain free access to an AMC SQL Data Analyst AI copilot. Using An AMC AI Data Copilot! Most people interested in AMC are not data scientists or software engineers with the skills to author structured query language (SQL) queries against complex AMC data. To lower barriers and increase velocity with AMC, we released “Chatlytics,” a free Amazon Marke

The Chatlytics Amazon Marketing Cloud AI Copilot is your data analysis partner, simplifying the traditionally complex process of authoring AMC SQL. One of the barriers to getting started with Amazon Marketing Cloud is understanding the data and how to write AMC SQL. The datasets are complex, and AMC SQL has a steep learning curve. We released a free Amazon Marketing Cloud Copilot called “Chatlytics.” If you are hunting down an SQL error or exploring new ways to create insights, start a conversation about your AMC query or dataset. When you’re stuck, ask the Chatlytics Copilot. Generate AMC SQL The Chatlytics Copilot empowers non-technical users with a straightforward approach to understanding AMC’s operation. Paste SQL into the AMC Query Editor It’s interactive, iterative, and conversational, making learning enjoyable and relatable. This saves time, reduces frustration, and instills a sense of capability in navigating a complex tool like AMC. Ask for ideas on how to query

Connect Amazon and Google Sheets to keep data synced with scale, efficiency, and simplicity. Do you want to use Google Sheets for Amazon Sponsored Brands, Products, Display, or TV analysis? Would you like to use Google Sheets to automate Amazon DSP, Amazon Marketing Stream, Vendor Central, and Seller Central data analysis? Rather than manually downloading Excel or CSV reports and importing them into Google Sheets, you can automate Amazon data flow to Google BigQuery via verified Amazon APIs. Google BigQuery is an official Google Sheets Add-on that allows you to connect and import data directly from your Amazon Seller Central, Vendor Central, and Amazon Ads accounts. Why Automate Using An Amazon Connector for Google Sheets? Direct access to Amazon API reporting data means no messy, time-consuming manual report downloads. Just simple, straightforward data access in Google Sheets powered by BigQuery. BigQuery allows you to scale beyond Google Sheets limits. Here are just a few w

Using insights to fuel Amazon Brand Store best practices, growth, and scale Amazon now offers extensive performance insights for brand stores that provide metrics on your customer experience and products and recommendations on improving visibility. These brand store insights are now available via Amazon APIs, which allows fast, automated access to data that allows your team new pathways to analyze, visualize, and optimize your customer experience investments. Why Amazon Brand Stores? Enhancing Brand Visibility On Amazon Amazon Stores allow you to showcase your brand and products in a multipage, immersive shopping experience. Amazon Brand Store enhances brand visibility and differentiation in a crowded marketplace, allowing sellers and vendors to showcase their products, tell their brand story, and engage customers with rich media content such as images and videos. This helps build brand loyalty and awareness and drives sales by providing a centralized location for customers to bro

The best Amazon price tracker is the one you own You can now directly access ASIN-level product tracker data directly from Amazon APIs. Unlike other product pricing tracking tools, Openbridge delivers product pricing data directly to a private cloud warehouse or data lake like Amazon Redshift, Google BigQuery, Snowflake, Databricks, Azure Data Lake, and Amazon Athena. You own the data. There are no bots or screen scraping. Direct from Amazon’s API, pricing data unlocks new opportunities for your efforts with competitive intelligence, sales rank tracking, buy box insights, and more. Direct, Authoritative Amazon Product Pricing Data This rich, extensive ASIN-level product data comes directly from Amazon to your private cloud warehouse or data lake every hour. Here is a collection of key data elements included in the feeds: ASIN & Seller ID : Identifies the product and the seller. Lowest Prices : Includes details about the lowest prices for different conditions and fulfillment

Data-driven customer engagement and sales growth with Vendor Central Traffic analysis Traffic reports for Amazon Vendor Central contain valuable information for understanding customer interest and demand for various products. Here is how Amazon describes the Vendor Central Traffic Report; Quickly identify changes in relevant traffic-related metrics That description does not do the report justice! Let’s dig in and help Amazon out. 😊 What Is The Vendor Central Traffic Report? The Traffic Report analyses the views your ASINs get on Amazon. The key metric in the report is “ Glance Views ,” which are the number of views the product detail page receives from our customers on the Amazon website. The report allows vendors to analyze trends, which allows you to identify high and low-traffic products. You can then optimize activities such as running Amazon Ads, supporting marketing activities like targeted emails to increase traffic, or setting up promotions to convert high views to mo