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Module 8- Analyzing Download Completion Rates and Download Analytics 2.0

Module 8- Analyzing Download Completion Rates and Download Analytics 2.0. Objectives. After completing this module, you will be able to: identify the factors that impact download completion rate calculations. describe how Akamai calculates session-based completion rates.

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Module 8- Analyzing Download Completion Rates and Download Analytics 2.0

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  1. Module 8- Analyzing Download Completion Rates and Download Analytics 2.0

  2. Objectives • After completing this module, you will be able to: • identify the factors that impact download completion rate calculations. • describe how Akamai calculates session-based completion rates. • identify methods to improve completion rates. • describe how Akamai’s Download Analytics solution works. • configure Download Analytics to generate custom and standard reports.

  3. Lesson 1: Analyzing Download Completion Rates

  4. Download Completion Rates • Download completion rates measure the ratio of successful downloads to the total number of download attempts. • Conceptually, this can be calculated simply as: Completion Rate= Number of Successful Downloads / Number of Attempted Downloads • DLMs make it difficult to track successful downloads. • To overcome this, Akamai calculates completion rates as: • Baseline Completion Rate = Number of Times Last Byte is Downloaded / Number of times First Byte is Downloaded

  5. Caveats • Some DLMs may request the same byte-range multiple times. • A DLM may request and receive the first byte multiple times while requesting the last byte once. • A DLM may request byte-ranges out of order.

  6. Session-based Completion Rates using Akamai’s DLM • Session-based Completion Rate = Number of sessions where last byte is downloaded / Number of sessions where first byte is downloaded

  7. Why Download Completion Rates Exceed 100% • DLMs may make multiple requests for the last byte of downloadable file. • A download initiation may occur before the timeframe being measured while the end time (download completion) occurs within this timeframe.

  8. Calculating Download Completion Rates - Examples

  9. Factors for Low Completion Rates • Poor End-user Connectivity • Unusual Behavior of Third-party DLMs • Misbehaving Bots and Scripts

  10. Improving Download Completion Rates • To improve download completion rates: • improve download speeds. • improve download availability. • reduce file sizes. • identify specific problem areas – geography, file size, browser/DLMs and target solutions to those specific issues. • understand user behavior and consider treating files differently depending on content.

  11. Improving Download Completion Rates (Cont…) • Use Akamai DLM for higher completion rates and accurate reporting. • Understand business factors that impact completion rates. • Integrate download information to a Web analytics solution to see how download experience impacts revenue.

  12. Lesson 2: Download Analytics 2.0

  13. Download Analytics (DLA) 2.0 • Comprehensive analytics and reporting solution centered on content and user intelligence • Optional module for HTTP Downloads available with ESD • Works with DLM 3.0 to report on end user download behavior • Features include: • Built-in support for properties such as geography, connection speed, and network • Ability to integrate custom metadata into your reports

  14. Solution Highlights Reporting Highlights User Engagement • Download duration (total, average) • Completion rate (% viewed) • End-user analysis by geography, network, connection speed, and so on • User behavior data (start/stop/pause/cancel) • Business Insight • Create logical content groupings • Integrate business readable metadata • Analytics by referring vendor • Download funnel analysis • Platform Features • Integrates with Akamai Download Manager • Create multi-level drill-down reports and dashboards • Built-in geographic intelligence • Flexible data storage durations • Aggregate data sources across Akamai CP codes • Flexible filtering options

  15. Analytics Backend Akamai EdgeControl How it Works Reports End Users Provisioning Logs Origin

  16. Provisioning DLA 2.0 and Using Standard Reports • The first step in provisioning DLA is to define an analyzer. • An analyzer is defined by including data sources (CP codes) that are filtered for HTTP download traffic. • You can also define data filters and create custom dimensions for your reports. • Custom filters and reports can be associated to an analyzer once it is provisioned.

  17. Generating Custom Reports • DLA 2.0 allows to generate custom reports for dimensions that you can define. • Dimensions define data elements that metrics within a report will be grouped by. • Metrics in your report are displayed for the dimensions you define. • You can create custom dimensions to match parameters in your download URL.

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