This information is typically exported from an offline business tool (for example, your CRM or CMS system). Select an existing Data Set or create a new one to hold your imported data.ĭata Import works by uploading text files containing external data to an Analytics property.In the PROPERTY column, click Data Import. Click Admin, and navigate to the property to which you want to upload the data.Where is Data Import? Accessing Data Import. Cost Data-include 3rd party (non-Google) ad network clicks, cost and impression data to gain a more complete picture of your ad spend.This can be useful when you receive data in batches some time following hit collection, as summary data import lets you add to or update your information as it becomes available.Ĭurrently, summary data import supports the following import type: Imported summary data is applied to the selected reporting views after all processing and aggregation of collected data. Summary-data import lets you sum uploaded metrics. Custom Data-provides support for importing custom data sets.Product Data-gain better merchandising insights by importing product metadata, such as size, color, style, or other product-related dimensions.Content Data-group content using imported content metadata, such as author, date published, and article category.Geographical Data-create custom geographical regions, allowing you to report on and analyze Analytics data in ways that are better aligned with your business' organization.Campaign Data-expand and reuse your existing non-Google campaign codes by importing ad campaign-related dimensions, such as source.User Data-create segments and remarketing lists that incorporate imported user metadata, such as a loyalty rating or lifetime customer value.Typically, this extended data is stored in a custom dimension or metric, though in some cases you might want to overwrite the default information already gathered (for example, importing a campaign's Source or Medium dimension). Refund Data-align your internal ecommerce reporting with Analytics by importing ecommerce refund data.Įxtended-data import adds to (extends) the data already collected and processed, or being processed, for the selected reporting views.This type of import supports uploading the following types of data: Because you are importing hits, this data can be seen by all reporting views for that property (unless you specifically filter them from selected views). Imported hits are added to your Analytics property prior to any processing therefore, your imported data may be affected by processing-time actions, such as filters. This provides an alternative to using the tracking code, Collection API, the Mobile SDKs, or the Measurement Protocol. Hit-data import lets you send hit data directly into Analytics. Types of data you can importĭata Import lets you upload and integrate information with your Analytics account at 3 different points in the data collection and processing chain. For example, as a web publisher, you could join hits collected by Analytics with data dimensions exported from your CMS and CRM systems to analyze the relative contributions of authors to your site. This can help you organize, analyze and act upon this unified data view in ways that are better aligned with your specific and unique business needs. Typically, this data exists in its own "information silo," unaffected and uninformed by the data in other silos.ĭata Import lets you join the data generated by your offline business systems with the online data collected by Analytics. And (since you're reading this), you most likely use Analytics to track traffic and performance for your websites, mobile apps or appliances. If you are an ecommerce business, you might create catalogs that describe your products according to prices, style, size, etc. If you are a web publisher, your content management tool probably stores data dimensions such as author and article category. Your CRM might contain information like customer-loyalty rating, lifetime value and product preferences. For example, you can turn separate CRM data, ecommerce data, and Analytics data into a single comprehensive view of your business.Įach business system you use generates its own data store. If you use a variety of systems and tools to run your business, you can use Analytics to join and analyze that data in one place.
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