Sync data from
Rockset to Yahoo
Connect your data from Rockset to Yahoo 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 Rockset, and 140+ destinations, like Yahoo.
Define your model
Use SQL or select an existing dbt or Looker model.
Sync your data
Define how fields from your model map to Yahoo, and start syncing.
Model your Rockset data using any of these methods
dbt Model Selector
Sync directly with your dbt models saved in a git.
Create and Edit SQL from your browser. Hightouch supports SQL native to Rockset.
Select available tables and sheets from Rockset and sync using existing views without having to write SQL.
Why is it valuable to sync Rockset data to Yahoo?
Thanks to Rockset, 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 Yahoo, 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 Rockset. You then need to be able to package this data to send to Yahoo in the format expected. Plus, you want to do this in a real-time and automated way.
Yahoo 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 Rockset 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 Rockset and Yahoo data?
In the past, uploading customer data to Yahoo 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 Yahoo 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.
Send conversion events
Rockset is a real-time analytics solution enabling low latency search and aggregations. Using Rockset, you can create personalized user experiences, build real-time decision systems, serve IoT applications, and more, with a real-time indexing database that can power sub-second queries at massive scale.Learn more about Rockset
Learn more about Yahoo
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Hightouch Playbooks: Best practices to leverage reverse ETL
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