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Start by logging into your Bing Ads account. Navigate to the reports section and choose the type of data you want to export (e.g., campaign performance, ad performance). Customize the report by selecting the date range, columns, and filters. Once configured, export the data in a CSV or Excel format, which is easily manageable for further processing.
Open the exported file using a spreadsheet program like Microsoft Excel or Google Sheets. Review the data to ensure completeness and accuracy. Clean and format the data as needed, removing any unnecessary columns or correcting any discrepancies. Ensure that the data is structured in a way that matches the schema or requirements of your Convex database.
Ensure you have access to your Convex environment. Log in and navigate to the section where you manage your database. If a database or table does not exist for the data you are importing, create a new one. Define the schema according to the data structure from your Bing Ads export, ensuring that all necessary fields are covered.
In preparation for uploading, convert your cleaned data into JSON format. This is a format that Convex can easily handle. You can use a script in Python, JavaScript, or any language you are comfortable with to read the CSV/Excel file and output a JSON file. Ensure the JSON structure matches the schema you set up in Convex.
Before importing, validate your JSON file to ensure there are no syntax errors or inconsistencies. You can use online JSON validators or tools within your development environment. Fix any errors that are identified during validation, ensuring that the data is correctly formatted and ready for import.
Access the Convex database and use its interface or available API to manually upload your JSON data. If using an API, write a script to send HTTP POST requests with the JSON payload to your Convex endpoint. If using a GUI, look for an import function where you can directly upload your JSON file.
Once the data is imported, verify that all entries have been accurately transferred. Use Convex's query functions to check the data against what you exported from Bing Ads. Look for discrepancies or missing data and make any necessary adjustments. This step ensures that your data transfer is complete and reliable.
Following these steps will help you manually transfer data from Bing Ads 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.
Microsoft Advertising is a pay-per-click (PPC) advertising platform used to display ads based on the keywords used in a user's search query. For advertisers placing a large number of ads or developers building advertising tools, the Bing Ads API provides a programmatic interface to Microsoft Advertising. Using the Bing Ads API is the most efficient way to manage many large campaigns or to integrate your marketing with other in-house systems. The Bing Ads API also supports multiple customer accounts making it easy for ad agencies to manage campaigns for many clients. Some organizations may choose a hybrid approach; using the web UI for most tasks but automating reporting or campaign optimization with the API.
Bing Ads API provides access to a wide range of data that can be used to optimize and manage advertising campaigns. The following are the categories of data that can be accessed through Bing Ads API:
1. Account data: This includes information about the account, such as account ID, name, and currency.
2. Campaign data: This includes information about the campaigns, such as campaign ID, name, budget, and status.
3. Ad group data: This includes information about the ad groups, such as ad group ID, name, and status.
4. Ad data: This includes information about the ads, such as ad ID, title, description, and status.
5. Keyword data: This includes information about the keywords, such as keyword ID, match type, bid, and status.
6. Performance data: This includes information about the performance of the campaigns, ad groups, ads, and keywords, such as impressions, clicks, conversions, and cost.
7. Targeting data: This includes information about the targeting options, such as location, device, and demographic targeting.
8. Budget data: This includes information about the budget, such as daily budget, monthly budget, and total budget.
9. Conversion data: This includes information about the conversions, such as conversion ID, name, and value.
Overall, Bing Ads API provides access to a comprehensive set of data that can be used to optimize and manage advertising campaigns effectively.
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:
