Sync data from
Amazon Redshift to TikTok
Connect your data from Amazon Redshift to TikTok with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.
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Trusted by data teams at
Integrate your data in 3 easy steps
Add your source and destination
Connect to 15+ data sources, like Amazon Redshift, and 150+ destinations, like TikTok.
Define your model
Use SQL or select an existing dbt or Looker model.
Sync your data
Define how fields from your model map to TikTok, 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.
Where can you sync your Amazon Redshift data in TikTok
Tiktok Audiences are an ad targeting option. An audience defines and groups specific type of users so they can be targeted or excluded when setting up your ad. You can create, update and manage custom and lookalike audiences through the Audience API to consistently reach the right target audience at the right time.
When web events are shared with TikTok, they can better inform our optimization, targeting, and measurement systems by providing insights into your website visitors' journeys. Our systems process the data similarly to the TikTok Pixel.
Does this integration support in-warehouse planning?
Yes, if you integerate Amazon Redshift and TikTok 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 TikTok). 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 TikTok?
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 TikTok, 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 TikTok in the format expected. Plus, you want to do this in a real-time and automated way.
TikTok 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 TikTok data?
In the past, uploading customer data to TikTok 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 TikTok 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 events from your data warehouse to TikTok using TikTok's pixels
Keep your web event information up to date in TikTok through regular syncs
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
Use the TikTok marketing events API to send web event information to be used within TikTok for marketing purposes.Learn more about TikTok
Other Amazon Redshift Integrations
Other TikTok integrations
Hightouch Playbooks: Best practices to leverage reverse ETL
Read more about Hightouch
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