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Begin by logging into your Snapchat Ads Manager account. Navigate to the analytics or reports section. Here, you can customize the data you need by selecting the appropriate metrics, dimensions, and date range. Once configured, export the data as a CSV file. This file will serve as the raw data source for transfer.
Open the exported CSV file using a spreadsheet tool like Microsoft Excel or Google Sheets. Review the file to ensure it contains all necessary data fields required for your operations in Convex. Clean the data by removing any irrelevant columns or rows and ensure the data is well-structured and formatted correctly for further processing.
Access your Convex account and set up the necessary environment where the data will be stored. This might involve creating a new dataset or table that mirrors the structure of your CSV file. Ensure that the schema in Convex matches the columns and data types of your CSV file to avoid any data inconsistency issues during the import process.
Snapchat's exported CSV needs conversion to a JSON format that is compatible with Convex. Use a script or a simple code snippet in Python or JavaScript to convert your CSV data into JSON format. This process involves reading the CSV file, parsing its contents, and then writing the data as a JSON object.
Before uploading the JSON data to Convex, validate the JSON structure to ensure it adheres to the required format. Use JSON validation tools or online validators to check for any syntax errors or structural issues. This step is crucial to ensure the data is error-free and ready for import.
With the JSON data prepared and validated, use Convex's native API methods to import the data. This involves authenticating your request with Convex's API and sending the JSON data payload to the appropriate endpoint. Ensure you handle any API response codes to confirm successful data import or address any errors.
After the upload process, log into your Convex account and verify that the data has been correctly imported. Check for completeness and accuracy by comparing a sample of the imported data against the original data from Snapchat. Address any discrepancies and ensure the data is now available for use within Convex.
By following these steps, you can manually move data from Snapchat Marketing to Convex without relying on third-party connectors or integrations.
FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
Snapchat is a messaging app that enables people to send text, photo, and video messages one-on-one or via group messaging. Some posts disappear quickly, while other features allow 24-hour replay or the ability to save. It offers a unique spin on marketing strategies, as it is not the traditional business marketing platform. For businesses that want to present their brand with personality, think outside-the-box, and have a little less ad competition for their post, Snapchat Marketing is the perfect solution.
Snapchat Marketing's API provides access to various types of data that can be used for marketing purposes. The categories of data that can be accessed through the API are as follows:
1. Ad performance data: This includes data related to the performance of ads such as impressions, clicks, and conversions.
2. Audience data: This includes data related to the audience such as demographics, interests, and behaviors.
3. Campaign data: This includes data related to the campaigns such as budget, schedule, and targeting.
4. Creative data: This includes data related to the creative such as ad format, ad type, and ad size.
5. Location data: This includes data related to the location such as geofilters, geotags, and location-based targeting.
6. Engagement data: This includes data related to the engagement such as views, shares, and comments.
7. Conversion data: This includes data related to the conversion such as app installs, website visits, and purchases.
Overall, the Snapchat Marketing API provides a comprehensive set of data that can be used to optimize marketing campaigns and improve ROI.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
