Pinterest Ads is a platform that allows businesses to promote their products and services to a highly engaged audience on Pinterest. With over 400 million monthly active users, Pinterest is a visual discovery engine that helps people find inspiration and ideas for their interests and hobbies. Pinterest Ads allows businesses to create and display ads in the form of Promoted Pins, Promoted Video Pins, and Promoted Carousel Pins. These ads can be targeted to specific audiences based on their interests, behaviors, and demographics. Pinterest Ads also provides analytics and insights to help businesses measure the performance of their ads and optimize their campaigns for better results.
Microsoft SQL Server is a relational database management (RDBMS) built by Microsoft. As a database server, its primary function is to store and retrieve data upon the request of other software applications, either from the same computer or a different computer across a network—including the internet. To serve the needs of different audiences and workload sizes, Microsoft offers multiple editions (at least 12) of its Microsoft SQL Server.
1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.
2. Click on the "Add Source" button and select "Pinterest Ads" from the list of available connectors.
3. Enter a name for the connector and click "Next".
4. Enter your Pinterest Ads credentials, including your username and password.
5. Click "Test Connection" to ensure that the credentials are correct and the connection is successful.
6. Once the connection is successful, select the data you want to sync from Pinterest Ads.
7. Choose the frequency of data syncing and the destination where you want to store the data.
8. Click "Create Source" to complete the process and start syncing data from Pinterest Ads to your chosen destination.
1. Open the Airbyte platform and navigate to the "Destinations" tab on the left-hand side of the screen.
2. Scroll down until you find the "MSSQL - SQL Server" connector and click on it.
3. Click on the "Create new destination" button.
4. Fill in the required information, including the destination name, host, port, database name, username, and password.
5. Click on the "Test connection" button to ensure that the connection is successful.
6. Once the connection is successful, click on the "Save" button to save the destination.
7. Navigate to the "Sources" tab on the left-hand side of the screen and select the source that you want to connect to the MSSQL - SQL Server destination.
8. Click on the "Create new connection" button.
9. Select the MSSQL - SQL Server destination that you just created from the drop-down menu.
10. Fill in the required information for the source, including the source name, host, port, database name, username, and password.
11. Click on the "Test connection" button to ensure that the connection is successful.
12. Once the connection is successful, click on the "Save" button to save the connection.13. You can now start syncing data from your source to your MSSQL - SQL Server destination.
With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.
We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!
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Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
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Frequently Asked Questions
Pinterest Ads API provides access to a wide range of data that can be used to optimize ad campaigns and improve targeting. The following are the categories of data that can be accessed through the Pinterest Ads API: 1. Ad performance data: This includes data on impressions, clicks, conversions, and other metrics related to ad performance.
2. Audience data: This includes data on the demographics, interests, and behaviors of the audience that engages with your ads.
3. Pin data: This includes data on the pins that users engage with, such as the type of content, the category, and the keywords associated with the pin.
4. Board data: This includes data on the boards that users engage with, such as the type of content, the category, and the keywords associated with the board.
5. Campaign data: This includes data on the campaigns that you run on Pinterest, such as the budget, targeting options, and ad formats.
6. Conversion data: This includes data on the actions that users take after clicking on your ads, such as purchases, sign-ups, and downloads.
Overall, the Pinterest Ads API provides a wealth of data that can be used to optimize ad campaigns and improve targeting, ultimately leading to better results and higher ROI.