Sync data from
Amazon Redshift to Pinterest Ads
Connect your data from Amazon Redshift to Pinterest Ads with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.
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Integrate your data in 3 easy steps
Add your source and destination
Connect to 15+ data sources, like Amazon Redshift, and 140+ destinations, like Pinterest Ads.
Define your model
Use SQL or select an existing dbt or Looker model.
Sync your data
Define how fields from your model map to Pinterest Ads, and start syncing.
Model your Amazon Redshift data using any of these methods
dbt Model Selector
Sync directly with your dbt models saved in a git.
Query using looks. Hightouch turns your look into SQL and will pull from your source.
Create and Edit SQL from your browser. Hightouch supports SQL native to Amazon Redshift.
Select available tables and sheets from Amazon Redshift and sync using existing views without having to write SQL.
For less technical users, pass traits and audiences from Amazon Redshift using our visual segmentation builder.
Does this integration support in-warehouse planning?
Yes, if you integerate Amazon Redshift and Pinterest Ads using Hightouch, in-warehouse planning is supported.
Great, but what is in-warehouse planning?
Between every sync, Hightouch notices any and all changes in your data model. This allows you to only send updated results to your destination (in this case Pinterest Ads). With the baseline setup, Hightouch picks out only the rows that need to be synced by querying every row in your data model before diffing using Hightouch’s infrastructure.
The issue here is this can be slow for large models.
Warehouse Planning allows Hightouch to do this diff directly in your warehouse. Read more on how this works here.
Why is it valuable to sync Amazon Redshift data to Pinterest Ads?
Thanks to Amazon Redshift, it's easier than ever to access your customer data, run complex queries, and segment your customers/users into various categories or audiences.
However, to target users and send conversion data to Pinterest Ads, you need access to all of the unique behavioral data (e.g., last-login date, items in cart, pages viewed, etc.) and core business metrics like lifetime value, workspaces, subscriptions, annual recurring revenue, etc. that lives in Amazon Redshift. You then need to be able to package this data to send to Pinterest Ads in the format expected. Plus, you want to do this in a real-time and automated way.
Pinterest Ads is only as good as the data you give them, and if you truly want to optimize your ad spend, increase your match rates, and drive conversions, you need to provide custom data from Amazon Redshift within your warehouse.
Maybe you want to retarget users who abandoned their shopping cart in the last seven days, or upload a list of high-value customers to identify potential lookalike audiences, or perhaps you want to upload offline conversion events to reduce your customer acquisition costs and increase your return on ad spend.
Why should you use reverse ETL to connect Amazon Redshift and Pinterest Ads data?
In the past, uploading customer data to Pinterest Ads meant hopping back and forth between your various SaaS applications or asking your data team for CSV files. Neither of these options is preferable because marketing teams want to self-serve, and data teams don't enjoy constantly fulfilling one-off marketing requests.
Even worse, if you truly want to optimize your advertising campaigns, you need to be uploading fresh data consistently. Non-fresh data can be expensive for ads. If you're using CSVs to define who to exclude from paid ads and you're uploading that data weekly, that's potentially one week of irrelevant ads. As a workaround, engineering teams will integrate directly with the Pinterest Ads API, and build and maintain custom in-house pipelines. The problem is that a single API change can break everything, and data engineers don't want to spend their time building and maintaining pipelines.
With Hightouch, you can leverage the existing data models and customer segments your engineering team has defined in your warehouse and sync that data directly to your ad platforms in real time. You can schedule your data syncs to run automatically, on a set cadence, or even for the exact duration of your marketing campaign. Hightouch lets your data teams establish the guardrails for your marketers to self-serve and build custom audiences through a drag-and-drop interface.
Sync conversion events into Pinterest to help you evaluate your ads effectiveness and improve the content, targeting, and placement of future ads
Sync customer list audiences into Pinterest and run targeted ads using first-party data
Use identifiers such as IDFA, MAID, and more.
Automatically create new customer list audiences or use existing ones.
About Amazon Redshift
Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. It is built on Amazon Web ServicesLearn more about Amazon Redshift
About Pinterest Ads
Pinterest is a combination of a search engine and social media designed to help their users discover, save, and share new ideas. Pinterest ads are a way for brands and businesses to promote their offerings on the platform through promoted pins.Learn more about Pinterest Ads
Other Amazon Redshift Integrations
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