eBay Commerce Cookbook: Using eBay APIs: PayPal, Magento and More (Paperback)

Chuck Hudson

  • 出版商: O'Reilly
  • 出版日期: 2013-02-05
  • 定價: $1,155
  • 售價: 2.6$299
  • 語言: 英文
  • 頁數: 208
  • 裝訂: Paperback
  • ISBN: 1449320155
  • ISBN-13: 9781449320157
  • 立即出貨 (庫存 < 4)

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商品描述

Take advantage of mobile commerce to generate more demand, traffic, and sales for your products and services. This unique cookbook provides a collection of practical recipes you can put to use in every step of the mobile customer lifecycle. You’ll learn how to add features and functionality through a wide set of eBay APIs—including Magento, Milo, eBay, PayPal, RedLaser, Hunch, and ql.io.

Each chapter focuses one aspect of the lifecycle. Author Charles Hudson combines his expertise in web and mobile product strategy with code solutions to help you address product discovery, presentation, payment, order fulfillment, and customer satisfaction. If you have experience with PHP, HTML, CSS, and JavaScript, you’re ready to roll.

  • Help customers find your product through reviews, targeted search options, and eBay marketplace listings
  • Customize a Magento storefront and provide customers with a single sign-on option to enhance product presentation
  • Streamline purchases with options such as auto-generating coupons and preapproved payments
  • Automate order processing, extend shipping options, and leverage PayPal chained payments to handle multiple suppliers
  • Take advantage of QR codes, produce customer "taste graphs," and use ql.io mash ups to provide visitors with social recommendations

商品描述(中文翻譯)

利用移動商務來為您的產品和服務產生更多需求、流量和銷售。這本獨特的食譜書提供了一系列實用的食譜,您可以在移動客戶生命週期的每個步驟中使用。您將學習如何通過一系列廣泛的eBay API(包括Magento、Milo、eBay、PayPal、RedLaser、Hunch和ql.io)添加功能和功能。

每個章節都專注於生命週期的一個方面。作者查爾斯·哈德森(Charles Hudson)將他在網絡和移動產品策略方面的專業知識與代碼解決方案相結合,幫助您解決產品發現、展示、付款、訂單處理和客戶滿意度等問題。如果您具有PHP、HTML、CSS和JavaScript的經驗,您就可以開始使用了。

幫助客戶通過評論、定向搜索選項和eBay市場列表找到您的產品
自定義Magento商店前端,並為客戶提供單一登錄選項以增強產品展示
通過選項(如自動生成優惠券和預先批准的付款)簡化購買流程
自動化訂單處理,擴展運輸選項,並利用PayPal鏈接付款來處理多個供應商
利用QR碼,生成客戶的“品味圖表”,並使用ql.io混搭技術為訪客提供社交推薦