Amazon Web Services Case Studies Yieldmo Leverages AWS for Real-Time Ad Engagement Data Delivery

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	Yieldmo Leverages AWS for Real-Time Ad Engagement Data Delivery Amazon Web Services

Yieldmo Leverages AWS for Real-Time Ad Engagement Data Delivery

Amazon Web Services

Technology Category	Analytics & Modeling - Real Time Analytics Robots - Wheeled Robots
Applicable Industries	Telecommunications
Applicable Functions	Sales & Marketing
Use Cases	Real-Time Location System (RTLS) Track & Trace of Assets
Challenge	Yieldmo, a mobile-advertising marketplace, was facing a challenge in enhancing its measurement of user interactions for its ad campaigns. The company needed to capture user behavior in real time, across each ad pixel for billions of ad impressions at millisecond granularity. This was crucial for their sessionization process, which involved the collection of user interactions, known as micro-interactions, performed on Yieldmo’s ad units within a user session. The company was also planning to launch a new data platform that would provide in-depth insights into customer engagements. However, capturing hundreds of billions of micro-interactions presented a technical challenge as it would increase the number of requests coming in and require adding many more proxy servers to capture and analyze all these events. Implementing a traditional solution would be time-consuming, expensive, and require a large amount of storage and compute power. Read More
About Customer	Yieldmo is a mobile-advertising marketplace that delivers high-performance ad campaigns, serving billions of ad impressions to millions of unique mobile visitors each month. The company is user-centered, design-driven, and data-powered, redefining digital advertising. Yieldmo's products help marketers and publishers build deeper engagements with their customers. The company was planning to launch a new data platform that would provide in-depth insights into customer engagements, making campaigns more effective for advertisers, more profitable for publishers, and ultimately, more relevant for consumers. Read More
Customer Name	Yieldmo Read More
Solution	Yieldmo chose Amazon Kinesis services to capture, process, and deliver its data in real time. The company's ad units on customers’ mobile web pages sent data directly to Amazon Kinesis Data Streams, which efficiently and durably captured the real-time streaming data at scale. To process the data in streams, Yieldmo employed Amazon Managed Service for Apache Flink to consolidate millisecond user interactions and define an active user session. The company used standard SQL code to compute pixel-by-pixel ad-view time and ad-view percentages, and to track how many pixels were on screen for how many seconds. Yieldmo also used Amazon Kinesis Data Firehose to deliver this data to Amazon Simple Storage Service (Amazon S3) buckets. AWS Lambda was used for final formulation of user-level engagement analytics and then to load the company’s data warehouse, where data could be served to customers. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Real Time Analytics

Robots - Wheeled Robots

Applicable Industries

Telecommunications

Applicable Functions

Sales & Marketing

Use Cases

Real-Time Location System (RTLS)

Track & Trace of Assets

Challenge

Yieldmo, a mobile-advertising marketplace, was facing a challenge in enhancing its measurement of user interactions for its ad campaigns. The company needed to capture user behavior in real time, across each ad pixel for billions of ad impressions at millisecond granularity. This was crucial for their sessionization process, which involved the collection of user interactions, known as micro-interactions, performed on Yieldmo’s ad units within a user session. The company was also planning to launch a new data platform that would provide in-depth insights into customer engagements. However, capturing hundreds of billions of micro-interactions presented a technical challenge as it would increase the number of requests coming in and require adding many more proxy servers to capture and analyze all these events. Implementing a traditional solution would be time-consuming, expensive, and require a large amount of storage and compute power.

About Customer

Yieldmo is a mobile-advertising marketplace that delivers high-performance ad campaigns, serving billions of ad impressions to millions of unique mobile visitors each month. The company is user-centered, design-driven, and data-powered, redefining digital advertising. Yieldmo's products help marketers and publishers build deeper engagements with their customers. The company was planning to launch a new data platform that would provide in-depth insights into customer engagements, making campaigns more effective for advertisers, more profitable for publishers, and ultimately, more relevant for consumers.

Customer Name

Yieldmo

Solution

Yieldmo chose Amazon Kinesis services to capture, process, and deliver its data in real time. The company's ad units on customers’ mobile web pages sent data directly to Amazon Kinesis Data Streams, which efficiently and durably captured the real-time streaming data at scale. To process the data in streams, Yieldmo employed Amazon Managed Service for Apache Flink to consolidate millisecond user interactions and define an active user session. The company used standard SQL code to compute pixel-by-pixel ad-view time and ad-view percentages, and to track how many pixels were on screen for how many seconds. Yieldmo also used Amazon Kinesis Data Firehose to deliver this data to Amazon Simple Storage Service (Amazon S3) buckets. AWS Lambda was used for final formulation of user-level engagement analytics and then to load the company’s data warehouse, where data could be served to customers.

Impact #1	With Amazon Kinesis services, Yieldmo was able to capture and sessionize user interactions in real time, at scale, and without significant cost or operational overhead. The company was able to compute engagement metrics on the fly, making it easier to adjust ad campaigns and achieve effectiveness much earlier in the process. The solution also made it simple to scale end to end, including the capture, processing, and delivery of actionable insights. This empowered Yieldmo's customers to better understand their user base. The company was also able to save a significant amount of money by using Kinesis Data Streams and Managed Service for Apache Flink. The data was structured and accessible within minutes, making it available to a much broader set of engineers.

Impact #1

With Amazon Kinesis services, Yieldmo was able to capture and sessionize user interactions in real time, at scale, and without significant cost or operational overhead. The company was able to compute engagement metrics on the fly, making it easier to adjust ad campaigns and achieve effectiveness much earlier in the process. The solution also made it simple to scale end to end, including the capture, processing, and delivery of actionable insights. This empowered Yieldmo's customers to better understand their user base. The company was also able to save a significant amount of money by using Kinesis Data Streams and Managed Service for Apache Flink. The data was structured and accessible within minutes, making it available to a much broader set of engineers.

Benefit #1	Captures and sessionizes user interactions in real time, at scale, and without significant cost or operational overhead
Benefit #2	Delivers ad-interaction data every 200 milliseconds
Benefit #3	Gets more accurate ad viewability data

Benefit #1

Captures and sessionizes user interactions in real time, at scale, and without significant cost or operational overhead

Benefit #2

Delivers ad-interaction data every 200 milliseconds

Benefit #3

Gets more accurate ad viewability data

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Overview

Yieldmo Leverages AWS for Real-Time Ad Engagement Data Delivery

Operational Impact

Quantitative Benefit