C5i > 实例探究 > Leading PC manufacturer enhanced forecast accuracy and campaign attribution accuracy with analytical measurement system

Leading PC manufacturer enhanced forecast accuracy and campaign attribution accuracy with analytical measurement system

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公司规模
1,000+
地区
  • America
国家
  • United States
产品
  • Eloqua
  • Salesforce
  • Adobe Marketing Cloud
  • SAP
技术栈
  • Big Data
  • Data Visualization
  • Data Integration
实施规模
  • Enterprise-wide Deployment
影响指标
  • Brand Awareness
  • Customer Satisfaction
  • Productivity Improvements
技术
  • 分析与建模 - 大数据分析
  • 应用基础设施与中间件 - 数据交换与集成
  • 应用基础设施与中间件 - 数据可视化
适用功能
  • 商业运营
  • 销售与市场营销
用例
  • 需求计划与预测
  • 预测性维护
  • 供应链可见性(SCV)
服务
  • 数据科学服务
  • 系统集成
关于客户
The customer is a leading US PC manufacturer operating in the Information Technology industry. They have a significant presence in the market and are known for their innovative products and solutions. The company has a large customer base and a wide range of products, making them a major player in the industry. They have a dedicated team for relationship marketing and B2B initiatives, and they use a CRM database for managing their customer data. However, they were facing challenges in attributing campaign measurement success KPIs and needed help with reporting, attribution, and analysis of ROI from their B2B marketing initiatives.
挑战
The client, a leading US PC manufacturer, was struggling to attribute campaign measurement success KPIs across the board and wanted immediate help with proper reporting, attribution and analysis of ROI arriving from their B2B marketing initiatives. The existing CRM database used by the relationship marketers and B2B team had a good deal of non-standardized / unstructured data formats that needed to be cleaned. After completing the first two objectives, they also requested that the cleansed data be used as input to launch targeted digital campaigns.
解决方案
The Blueocean Market Intelligence team set up an analytics hub consisting of data warehouse specialists, data visualization specialist and digital scientists. A series of workshops were conducted to understand business activities to define KPIs for success parameters. The team integrated several data sources such as Eloqua, CRM (Salesforce), web metrics (Adobe Marketing Cloud), sales data (SAP) and agency data (media spends and budgets). Consulting was provided to re-structure the digital tracking to capture required metrics and the existing BI and data integrations process was redesigned for more accurate tracking on RM / B2B marketing initiatives. The team conceptualized, designed and implemented a Big Data platform with proprietary technology stack to drive on demand, real-time dashboards and insights.
运营影响
  • Seamless data integration across multiple platforms and sources.
  • Scaled up the existing unified marketing database by integrating 21+ data sets from multiple sources.
  • Implemented highly effective predictive models to forecast marketing spends and expected revenue.
  • Improved accuracy in tracking digital marketing data with close to 80% CL of attributing KPIs to campaigns.
  • Enabled very seamless automated mechanisms for budget allocation for each B2B campaign based on basis propensity models and visualization techniques.
数量效益
  • Confidence levels of 85% and R2 values close to 75% for forecasting marketing spends and expected revenue.
  • 80% confidence level of attributing KPIs to campaigns.

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