Google Cloud Platform > 实例探究 > How Yieldify uses Data to Increase Customer ROI and Drive Operational Efficiency

How Yieldify uses Data to Increase Customer ROI and Drive Operational Efficiency

公司规模

1,000+

国家

United Kingdom

产品

Looker

技术栈

Amazon Redshift

实施规模

Enterprise-wide Deployment

影响指标

Customer Satisfaction
Productivity Improvements
Revenue Growth

技术

分析与建模 - 预测分析
分析与建模 - 实时分析

适用行业

电子商务

适用功能

商业运营
销售与市场营销

用例

需求计划与预测
质量预测分析

服务

数据科学服务
系统集成

关于客户

Yieldify is a company that increases sales for eCommerce websites through predictive marketing techniques that can detect when visitors are about to leave the site. Data scientists, entrepreneurs, industry thought leaders, and conversion experts work together to create automatic followup campaigns that encourage people to make a purchase through special offers, suggestions for related products, and easy ways to sign up for more information. This “remarketing” approach helps boost conversion rates, without adding complexity for the client. Yieldify’s sales, account management, and customer success teams rely on Looker for the analysis that lets them optimize and continuously monitor the performance of their accounts. Using accurate, real-time reporting from a single, reliable source of truth, the teams have the insights they need to prioritize their efforts, refine their processes, demonstrate ROI to clients—and increase the company’s revenues.

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挑战

Yieldify’s predictive marketing technology interacts with over 1 million people on eCommerce sites daily, generating a tremendous amount of event data. This data has to be combined with transaction data to answer key questions about website performance. The company uses two different models for charging clients—either commissions on online sales or fixed-cost campaigns—and it works through affiliates as well as directly with brands. In the midst of all this complexity, the sales and account teams need accurate revenue tracking and attribution, both for internal team management and for reporting ROI to clients. Before Looker, Yieldify’s data was distributed across siloed sources: Salesforce for CRM data, Hubspot for marketing, a commissions database, a campaign database, and more. On top of that, the affiliates had their own separate data systems for tracking and billing. Reporting across all of these sources forced the BI team to use time-consuming manual processes to aggregate data and write queries, and there were some types of reports they couldn’t create at all.

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解决方案

Yieldify realized that they needed to consolidate all their data in one place and use a single tool for BI across the organization. After deciding to migrate their data to Amazon Redshift, the BI team evaluated more than 30 possible solutions and concluded that Looker was the best choice. Unlike other options that were strong only in specific areas, Looker offered powerful features across the entire range of Yieldify’s requirements. The BI team wanted a fast, cloud-based solution offering self-service data exploration as well as visualization, with easy drill-down functions. They liked that Looker was intuitive for users at any level and were also eager to use Looker’s flexible modeling language to set up consistent business rules across the company.

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运营影响

Decisions at every level of the company are backed by data.
Almost every person in the company uses Looker on a daily basis to get answers in seconds rather than waiting hours or days for one-off reports.
Dynamic dashboards make it easy to drill down to the details, and increasing numbers of team members use data exploration to identify new questions and uncover new insights.
Business users are inspired to build or request new reports such as a funnel analysis on marketing strategies or an assessment of campaign attributes that are seasonally affected.
Using Looker’s modeling language, the BI team has been able to set up consistent business rules and metrics across the company.

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数量效益