You work for an online vintage clothing retailer and store data about each of your sales items offline. Which of these features allows you to upload a CSV file containing item data you want to join with Analytics data?
Explanation:
The correct option is Data import. This feature enables the uploading of a CSV file containing offline sales item data to be joined with Analytics data. From my own experience working with e-commerce businesses, utilizing data import functionality has proven to be immensely valuable for enhancing the depth and richness of analytics insights. For instance, by uploading offline sales item data such as product attributes, sales channels, and transaction details, businesses can correlate this information with online analytics data to gain a comprehensive understanding of customer behavior, preferences, and purchasing patterns. This integration facilitates more accurate analysis, enables cross-channel attribution, and provides insights into the holistic customer journey. By leveraging data import capabilities, online vintage clothing retailers can unlock actionable insights to optimize product offerings, marketing strategies, and overall business performance. Thus, data import serves as a vital tool for bridging the gap between offline and online data sources, empowering businesses to make data-driven decisions and drive continuous improvement in their e-commerce operations.
You can upload CSV files that contain external data to an Analytics property. You can export those CSV files from an offline business tool like your CRM or CMS system, or for smaller amounts of data, you can create the files manually in a text editor or spreadsheet. You can import to Analytics using data import.
When you import data, you create a data source. A data source is the combination of the CSV file you want to upload and a mapping of existing Analytics fields to the fields in your CSV. The CSV file has to include the same fields, or subset of fields, as the original. If you want to import different fields for the same data type, you need to delete the existing data source and create a new one.
Read more here: https://support.google.com/analytics/answer/10071301