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Google Cloud Platform > Case Studies > How Yieldify uses Data to Increase Customer ROI and Drive Operational Efficiency
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How Yieldify uses Data to Increase Customer ROI and Drive Operational Efficiency

Technology Category
  • Analytics & Modeling - Predictive Analytics
  • Analytics & Modeling - Real Time Analytics
Applicable Industries
  • E-Commerce
Applicable Functions
  • Business Operation
  • Sales & Marketing
Use Cases
  • Demand Planning & Forecasting
  • Predictive Quality Analytics
Services
  • Data Science Services
  • System Integration
The Challenge
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.
About The Customer
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.
The Solution
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.
Operational Impact
  • 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.
Quantitative Benefit
  • 77 Looker Users every month
  • 1 Million Interactions a day with consumers on eCommerce sites

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