Pinterest is a visual discovery engine that can be used to find ideas such as recipes, inspiration for home and style projects, and a lot more. It is unique among social media platforms, and the majority of its users go there with the intention of learning about new products. These users have a positive reaction to advertisements. Pinterest users have access to both paid advertising tools and free advertising tools.
However, using both paid and free advertising tools together can result in three times as many conversions and twice as much Return on Investment (ROI) as using paid ads alone.
You will be able to conduct advanced analytics on massive amounts of data obtained from a variety of e-commerce platforms if you establish a connection to a Cloud Data Warehouse such as Amazon Redshift. You can use SQL queries to connect Pinterest Ads to Redshift.
You are going to learn two different ways to connect Pinterest Ads to Redshift, as well as the key features of each method, in this article.
What are Pinterest Ads?
Pinterest is a search engine and social media platform rolled into one, with the goal of assisting its users in finding new ideas, saving them, and sharing them with other people. Brands and businesses can promote their products and services using Pinterest by purchasing advertisements on the platform.
Promoted Pins are another name for Pinterest advertisements. As part of its retargeting advertising strategy, Pinterest displays Promoted Pins to users based on their interests, previous activity, and actions taken on other websites.
Pinterest is a powerful marketing tool because it understands its audience, for example, by curating taste or by spotting trends before they happen. This is made possible by combining a search engine and social media.
Pinterest stands out among other social media platforms as an exceptional choice for use by businesses in their social media marketing efforts. Companies can use the platform’s optimization features to further promote themselves, thereby increasing the volume of website visitors, sales, and overall awareness of their brand.
Key Features of Pinterest Ads
Pinterest is a visual discovery and bookmarking platform that allows users to find and save ideas for various projects and interests. Key features include:
- Pins and Boards: Users can save images (pins) to themed boards, organizing their inspirations.
- Search Functionality: A robust search tool helps users find specific content based on keywords or trends.
- Idea Feed: A personalized feed curates content based on user interests and interactions.
For more details, you can visit Pinterest’s official site.
What is Amazon Redshift?
Amazon Redshift is a cloud-based and fully managed petabyte-scale Data Warehousing service. It enables you to begin with a few gigabytes of data and scale up to a petabyte or more. Amazon Redshift organizes data into clusters that can be examined simultaneously. As a result, Amazon Redshift data may be retrieved quickly and easily. Users and apps can access each node independently.
Amazon Redshift can be utilized with a variety of SQL-based clients, as well as a variety of Data Sources and Data Analytics tools. It has a solid architecture that makes interacting with a variety of business intelligence tools a breeze.
Each Redshift Data Warehouse is fully managed, which means administrative chores such as backup creation, security, and setup are all handled automatically.
Key Features of Amazon Redshift
- Key features of Amazon Redshift include:
- Scalability: Easily scale up or down based on workload requirements, supporting large datasets.
- Performance: Optimized for complex queries, leveraging columnar storage and parallel processing for fast data retrieval.
- Integration: Seamless integration with AWS services and third-party tools, enabling streamlined data analytics and reporting.
- Security: Advanced security features, including encryption, network isolation, and user access controls, ensuring data protection.
- Cost-Effectiveness: Pay-as-you-go pricing and reserved instance options help manage costs efficiently.
- For more details, you can check the Amazon Redshift website.
Use Cases to Transfer your Pinterest Data to Redshift
Here are some use cases for transferring your Pinterest data to Amazon Redshift:
- Custom Reporting: Create advanced BI reports using tools like Tableau or Looker to visualize Pinterest engagement metrics alongside other data sources.
- Enhanced Analytics: Combine Pinterest data with other marketing channels to analyze performance metrics and gain comprehensive insights into campaign effectiveness.
- Data Warehousing: Store large volumes of Pinterest data for historical analysis, allowing for trend identification and better forecasting.
Advertising on Pinterest is an efficient method that can be incorporated into your overall digital marketing strategy. Also, Amazon Redshift is a data warehouse known for ingesting data instantaneously and performing almost real-time analysis. When integrated together, moving data from Pinterest Ads to Redshift could solve some of the biggest data problems for businesses. In this article, we have described two methods to achieve this:
Method 1: Connect Pinterest Ads to Redshift using Hevo
Hevo Data, an Automated Data Pipeline, provides you a hassle-free solution to connect Pinterest Ads to Redshift within minutes with an easy-to-use no-code interface. Hevo is fully managed and completely automates the process of not only loading data from Pinterest Ads but also enriching the data and transforming it into an analysis-ready form without having to write a single line of code.
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Method 2: Connect Pinterest Ads to Redshift using CSV Files
In this method, users will have to write custom codes to enable two processes, streaming data from Pinterest Ads and ingesting data into Redshift. This method is suitable for users with a technical background.
Both methods are explained below.
Methods to Connect Pinterest Ads to Redshift
Many organizations need to load their data from Pinterest Ads to Redshift service to access raw customer data, like shipment types, item checkpoints, etc. Amazon Redshift is capable of efficiently running complex analytical queries across petabytes of data. Connecting Pinterest Ads to Redshift provides a more comprehensive insight into your customer interaction and company’s performance.
Furthermore, with the Pinterest Ads to Redshift integration, you can perform effective real-time automated processes, saving you time when working on repetitive tasks. This integration is the ideal value addition for an e-commerce company or business owner who wants to improve operations, increase efficiency, and sync data throughout their workspace.
To connect Pinterest Ads to Redshift, you can use two methods.
These two methods are explained below:
Method 1: Connect Pinterest Ads to Redshift using Hevo
Hevo provides Amazon Redshift as a Destination for loading/transferring data from any Source system, which also includes Pinterest Ads.
Configure Pinterest Ads as a Source
Carry out the procedures listed below in order to configure Pinterest Ads as the Source in your Pipeline in Pinterest Ads to Redshift Connection:
- Step 1: In the Asset Palette, select the PIPELINES option.
- Step 2: In the Pipelines List View, select the +CREATE button.
- Step 3: Choose Pinterest Ads from the drop-down menu on the Select Source Type page to integrate Pinterest Ads to Redshift.
- Step 4: Click the + ADD PINTEREST ADS ACCOUNT button on the page that allows you to configure your Pinterest Ads account.
- Step 5: Sign in with the Pinterest Business account you usually use.
- Step 6: To give Hevo permission to access the data from your Pinterest Ads account, click the Continue button to connect Pinterest Ads to Redshift.
- Step 7: On the page where you configure your Pinterest ads source, enter the following information:
- Name of Pipeline: A one-of-a-kind name for the Pipeline, with a maximum of 255 characters.
- Select Accounts: Choose the Pinterest Ads account (or accounts) whose data you want to import into your account. There is support for selecting multiple Ad accounts.
- Historical Sync Duration: The amount of time over which the historical data must be ingested. Also known as “duration.” Default value: 6 Months.
- Breakdowns: The amount of temporal detail that you want to see in your report data is referred to as the “breakdown.” You could, for instance, separate the total number of clicks into weekly or monthly totals.
- Conversion Report Time: The time period for which you want to generate a conversion report is referred to as the “Conversion Report Time.” Time of Ad Action has been set as the default value. You have the option of choosing either of the following:
- Time of Ad Action: Displays the conversion report according to the time at which a user action such as engagement with Pins, clicks, reactions, or comments took place. Time of Ad Action
- Time of Conversion: Displays the conversion report according to the time at which a conversion event, such as sign-up or adding an item to a cart, took place.
- Step 8: Just hit the TEST & CONTINUE button to connect Pinterest Ads to Redshift.
- Step 9: Move on to the next step, which is to configure the data ingestion and set up the Destination.
Configure Redshift as a Destination
To set up Amazon Redshift as a destination in your Pinterest Ads to Redshift Integration, follow these steps:
- Step 1: In the Asset Palette, select DESTINATIONS.
- Step 2: In the Destinations List View, click + CREATE.
- Step 3: Select Amazon Redshift from the Add Destination page to set up Pinterest Ads to Redshift Migration.
- Step 4: Set the following parameters on the Configure your Amazon Redshift Destination page:
- Destination Name: Give your destination a unique name.
- Database Cluster Identifier: The IP address or DNS of the Amazon Redshift host is used as the database cluster identifier.
- Database Port: The port on which your Amazon Redshift server listens for connections is the database port. 5439 is the default value.
- Database User: In the Redshift database, a user with a non-administrative position.
- Database Password: The user’s password.
- Database Name: The name of the destination database into which the data will be loaded.
- Database Schema: The Destination database schema’s name. The default setting is public.
- Step 5: To test connectivity with the Amazon Redshift warehouse, click Test Connection to connect Pinterest Ads to Redshift.
- Step 6: When the test is complete, select SAVE DESTINATION.
Here are more reasons to try Hevo:
- Smooth Schema Management: Hevo takes away the tedious task of schema management & automatically detects the schema of incoming data and maps it to your schema in the desired Data Warehouse.
- Exceptional Data Transformations: Best-in-class & Native Support for Complex Data Transformation at fingertips. Code & No-code Flexibility is designed for everyone.
- Quick Setup: Hevo with its automated features, can be set up in minimal time. Moreover, with its simple and interactive UI, it is extremely easy for new customers to work on and perform operations.
- Built To Scale: As the number of sources and the volume of your data grows, Hevo scales horizontally, handling millions of records per minute with very little latency.
- Live Support: The Hevo team is available round the clock to extend exceptional support to its customers through chat, email, and support calls.
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Method 2: Connect Pinterest Ads to Redshift using CSV Files
To set up Pinterest Ads to Redshift Connector manually, you have to follow two steps:
Export Data from Pinterest Ads
To export data from Pinterest Ads to connect Pinterest Ads to Redshift, follow these steps:
- Step 1: Sign in to your Pinterest Business account on your computer.
- Step 2: To access the reporting options, first select Ads at the very top of the screen.
- Step 3: To export the data, first click the Export button located in the upper-right corner of the reporting table.
- Step 4: Download the report. This will result in a CSV file.
Import CSV Files into Redshift
The next step in Pinterest Ads to Redshift Migration is to import data into Amazon Redshift. Utilizing an S3 bucket is among the most straightforward methods available for loading CSV files into Amazon Redshift. It is accomplished in two stages: first, the CSV files are loaded into S3, and then, after that, the data are loaded from S3 into Amazon Redshift.
- Step 1: Create a manifest file that includes the CSV data that needs to be loaded as the first step. This should be uploaded to S3, and the files should ideally be compressed using gzip.
- Step 2: After the data has been transferred to S3, use the COPY command to retrieve the file from S3 and then load it into the table of your choice. If you used gzip, the structure of your code will look like this:
COPY <schema-name>.<table-name> (<ordered-list-of-columns>) FROM '<manifest-file-s3-url>'
CREDENTIALS'aws_access_key_id=<key>;aws_secret_access_key=<secret-key>' GZIP MANIFEST;
Using the keyword “CSV” in this context is important because it will assist Amazon Redshift in identifying the file format. In addition to this, any column arrangements or row headers that are going to be ignored must be specified, as shown below:
COPY table_name (col1, col2, col3, col4)
FROM 's3://<your-bucket-name>/load/file_name.csv'
credentials 'aws_access_key_id=<Your-Access-Key-ID>;aws_secret_access_key=<Your-Secret-Access-Key>'
CSV;
-- Ignore the first line
COPY table_name (col1, col2, col3, col4)
FROM 's3://<your-bucket-name>/load/file_name.csv'
credentials 'aws_access_key_id=<Your-Access-Key-ID>;aws_secret_access_key=<Your-Secret-Access-Key>'
CSV
INGOREHEADER 1;
Using this procedure to load your desired CSV datasets into Amazon Redshift will result in a successful loading process. With this, you have completed Pinterest Ads to Redshift Migration.
Integrate Pinterest Ads to Redshift
Integrate Pinterest Ads to BigQuery
Integrate Pinterest Ads to MySQL
Conclusion
In this article, you understood the main features of Pinterest Ads and Amazon Redshift. You also learned two methods to integrate Pinterest Ads to Redshift. Pinterest Ads is Pinterest’s advertising platform for Business Accounts. It enables users to retrieve statistics about their ads, ad accounts, ad groups, and campaigns running on Pinterest. Amazon Redshift allows you to analyze this data to find meaningful insights to improve user experience.
However, as a Developer, extracting complex data from a diverse set of data sources like Databases, CRMs, Project management Tools, Streaming Services, and Marketing Platforms to your Database can seem to be quite challenging. If you are from non-technical background or are new in the game of data warehouse and analytics, Hevo Data can help!
Hevo Data will automate your data transfer process, hence allowing you to focus on other aspects of your business like Analytics, Customer Management, etc. Hevo provides a wide range of sources – 150+ Data Sources (including 40+ Free Sources) – that connect with over 15+ Destinations. It will provide you with a seamless experience and make your work life much easier.
FAQ on Pinterest Ads to Redshift
Do Pinterest ads convert well?
Pinterest ads can convert well depending on the target audience and the nature of the product or service being promoted.
What is a good CTR for Pinterest ads?
A good click-through rate (CTR) for Pinterest ads typically ranges between 0.3% to 1%.
Are Pinterest ads free?
No, Pinterest ads are not free. Pinterest offers various advertising options, such as Promoted Pins, Promoted Video Pins, and Carousel ads that businesses can use to reach their target audience.
What is the average conversion rate for Pinterest?
Conversion rates on Pinterest can range from 1% to 5% or higher for well-optimized campaigns, particularly in industries such as fashion, home decor, food, and lifestyle.
Sharon is a data science enthusiast with a hands-on approach to data integration and infrastructure. She leverages her technical background in computer science and her experience as a Marketing Content Analyst at Hevo Data to create informative content that bridges the gap between technical concepts and practical applications. Sharon's passion lies in using data to solve real-world problems and empower others with data literacy.