广告营销工具
SEOSEO付费获客付费获客程序化广告网站变现程序化App 获客App 变现网站变现关键词研究搜索意图App 获客ROASCPAApp 变现CPCLTV联盟营销eCPMRPM零售媒体营销归因转化追踪创意情报MMPHeader BiddingDSPSSPRTB广告可见率填充率ASOSKAdNetworkARPDAU激励视频广告聚合联盟营销创意测试A/B 测试再营销相似受众广告优化品牌安全供应路径
SEOSEO付费获客付费获客程序化广告网站变现程序化App 获客App 变现网站变现关键词研究搜索意图App 获客ROASCPAApp 变现CPCLTV联盟营销eCPMRPM零售媒体营销归因转化追踪创意情报MMPHeader BiddingDSPSSPRTB广告可见率填充率ASOSKAdNetworkARPDAU激励视频广告聚合联盟营销创意测试A/B 测试再营销相似受众广告优化品牌安全供应路径

零售媒体

Intentwise

付费

面向 Amazon、Walmart 等零售平台的广告分析与自动化平台,提供报表、竞价优化和数据管道,适合需要统一可视化和数据导出的卖家与代理商。

分析零售媒体亚马逊广告数据管道

主要用途

Intentwise pulls a brand's marketplace advertising and retail data into one place and then acts on it. It connects to Amazon, Walmart, and other retail accounts to centralize sponsored-ads reporting, then layers rule-based and AI-assisted automation that adjusts bids, budgets, and dayparting against performance goals. A separate data pipeline product exports Amazon Marketing Cloud signals and retail metrics into a warehouse so analysts can blend ad data with sales, inventory, and share. Agencies and in-house teams use it to standardize reporting across many accounts, automate routine campaign maintenance, and feed clean marketplace data into their own BI tooling rather than living inside each retailer's native console.

所在链路

Intentwise sits at the analytics stage of retail media, unifying marketplace ad reporting and feeding clean data into automation and warehouse workflows.

核心功能

  • Centralized sponsored-ads reporting across Amazon, Walmart, and more
  • Rule-based and AI-assisted bid, budget, and dayparting automation
  • Amazon Marketing Cloud data access and query support
  • Retail and advertising data pipelines into warehouses like Snowflake
  • Multi-account dashboards for agencies and multi-brand portfolios
  • Alerts and scheduled exports for routine performance monitoring

适合谁用

  • Agencies managing many marketplace advertising accounts
  • Brands wanting Amazon and retail data piped into their own BI stack
  • Operators standardizing sponsored-ads reporting and automation

新手提示

  1. Decide early whether you mainly need the automation console or the data-pipeline product; pricing and value differ between them.
  2. Validate that your Amazon Marketing Cloud instance is set up before expecting AMC-based insights, since access is a prerequisite.
  3. Start automation with conservative rules and review them weekly before handing over bid control on high-spend campaigns.
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相关基础概念

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