How to Get Data In and Out of SiteCatalyst — Part I
ANALYTICS · By Brent Dykes On · 1 Comment
On the output side, data that is locked up in silos won’t drive your business forward. Your digital data needs to be shared, analyzed, integrated, and ultimately used to improve business performance. Adobe gives you multiple ways to unleash your digital data.
In this two-part post, I’ll provide a high-level overview of the various input and output options that you have with SiteCatalyst. I’ll also share use cases for each option so you can better evaluate how each can be best applied within your organization. In addition, I’ll try to point you to places for further information on each input/output method.
Input Options
On the left side of the diagram above, there is a dashed line which separates the two main types of input alternatives. The first two options are the real-time/live data collection methods for Sitecatalyst. The second two options represent post-collection methods for importing additional data into Adobe’s analytics platform.
JavaScript Tags
AppMeasurement Libraries
Here are some of the interesting use cases for the AppMeasurement libraries:
- Collect data on mobile apps and non-JavaScript supported electronic devices
- Send order confirmation server-side from a backend transactional system to reduce order count discrepancies created by client-side browser issues
- Measure telephone call systems and intranets
- Track actual file downloads rather than clicks on download links
- Use as a workaround for the IE URL limitation (IE has a 2083 character limitation that can truncate your SiteCatalyst image requests if they exceed this threshold)
In order to link a visitor’s behaviors across JavaScript and tagless data collection, you may need to generate your own visitor ID (unique identifier for a particular visitor) so that the AppMeasurement and JavaScript values match. Without a tie to a common visitor ID, AppMeasurement data is typically collected in a separate report suite. For more information on the AppMeasurement libraries, go to the Developer & Implementation section within the Digital Marketing Suite Help Center.
SAINT Classifications
A great feature of SAINT classifications is the fact they are retroactive. If you want to re-classify or change some metadata values, you can simply replace the SAINT file with an updated version. While many attributes are just text-based (brand, color, size, etc.), a special form of classification (Numeric 2) allows you to create metrics (cost of goods sold) that can have different values for different time periods. For more information on SAINT, download the SAINT Classifications Manualwithin the SiteCatalyst Product Documentation page.
Data Sources
There are two main types of Data Source uploads that you need to be aware of. First, you have the ability to upload summary data, which attaches offline metrics to a subset of specified reports (eVars). Second, the Transaction ID method enables you to link an offline event to an online event through a unique transaction identifier that is set when an online event occurs such as a lead form being submitted. The advantage of transaction ID data is that your uploaded metrics are fully integrated with the rest of your SiteCatalyst reports rather than a few designated reports with summary data uploads.
Here are some common examples of how companies use Data Sources:
- Upload campaign metrics (ad impressions, campaign cost, etc.) via summary data tied to campaign tracking codes
- Import cost of goods sold data via transaction ID to analyze gross margin performance
- Tie product returns via transaction ID to close the gap between gross sales and net sales
- Upload closed offline sales via transaction ID to understand what online tactics and behaviors close business deals not just generate leads
- Bring in financial loan approvals, declines, and loan value from offline processing via transaction ID
- Import CRM data for data that may change over time such as customer lifetime value, customer type (silver/gold/platinum), location, etc. via transaction ID
A third type of Data Source upload is known as fully processed data, which is used in limited cases for post-collection batch uploads (tied to visitor ID or IP/user agent) and is handled as if it were received by Adobe’s data collection servers at the time specified. An important aspect to know about Data Sources is that the uploaded data is indistinguishable from your normal SiteCatalyst data, and there is not a mechanism to delete the data if it is erroneous (so be careful!). For more information on Data Sources, download the Data Sources User Guide within the SiteCatalyst Product Documentation page.
In summary, I’ve covered four key methods for collecting or importing data into SiteCatalyst. In thenext article in this two-part series, I’ll review the multiple ways you can extract data from SiteCatalyst.
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