Sync data from
Snowflake to Salesforce Pardot (Sandbox)
Connect your data from Snowflake to Salesforce Pardot (Sandbox) with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.
Trusted by data teams at
Integrate your data in 3 easy steps
Add your source and destination
Connect to 15+ data sources, like Snowflake, and 140+ destinations, like Salesforce Pardot (Sandbox).
Define your model
Use SQL or select an existing dbt or Looker model.
Sync your data
Define how fields from your model map to Salesforce Pardot (Sandbox), and start syncing.
Model your Snowflake 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 Snowflake.
Select available tables and sheets from Snowflake and sync using existing views without having to write SQL.
For less technical users, pass traits and audiences from Snowflake using our visual segmentation builder.
Does this integration support in-warehouse planning?
Yes, if you integerate Snowflake and Salesforce Pardot (Sandbox) 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 Salesforce Pardot (Sandbox)). 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 Snowflake data to Salesforce Pardot (Sandbox)?
Lifecycle marketing platforms like Salesforce Pardot (Sandbox) are built on omnichannel experiences and multiple touch points. They allow marketers to experiment and iterate at a moment's notice. However, to build personalized experiences for your customers, you first need access to the rich behavioral data in your data warehouse.
This might include data models built around unique objects in your business like workspaces, subscriptions, playlists, or even custom audiences your data team has defined based on core metrics like items in cart, pages viewed, average order value, time spent in-app, etc.
To truly convert new users and retain existing customers, you need to build customized experiences that feel unique to each user. Usually, this includes sending custom emails, SMS messages, push notifications, or even web notifications.
For example, if you want to encourage users who abandoned their shopping cart in the last seven days to complete their purchase, you might want to send an email letting them know your stock is running low. Maybe you want to target new users with a special offer through an in-app/on-browser notification, or perhaps you simply want to send an SMS notifying your customers that their order has shipped.
Either way, the only complete 360-degree view of your customer lives in your warehouse. Your lifecycle marketing tool is only as good as the data you give it. If you want to offer the best possible experience to your customers, you need to take advantage of the data in your warehouse.
Why should you use reverse ETL to connect Snowflake and Salesforce Pardot (Sandbox) data?
Whenever your marketing team wants to launch a new campaign, the typical process is to request a specific data set from your data team (e.g., can you give a list of every user who's visited our pricing page over the last seven days?) One-off requests like these are frequent, and each one pulls away from high-value work your data team could be doing.
To facilitate this, your data engineers must download ad-hoc CSV files so your marketing team can upload that data into Salesforce Pardot (Sandbox). Alternatively, your data team might build and maintain custom pipelines to consistently ingest that data into Salesforce Pardot (Sandbox). The problem is CSV files aren't fresh, and data pipelines are prone to failure because integrating with third-party APIs is hard.
Ultimately, your marketers want to self-serve, and that's only possible with Reverse ETL. With Hightouch, you can leverage your existing data models (e.g., lifetime value, last-login date, workspaces, annual recurring revenue, etc.) in your warehouse and sync that data directly to fields in Salesforce Pardot (Sandbox). You can schedule your syncs to run sequentially or define a set cadence (e.g., running your syncs while your marketing campaign is in progress.)
Hightouch has a visual audience builder so your marketers can self-serve and build custom audiences using the parameters your data team has set. If any of your rows fail, Hightouch will automatically retry them later in the next sync. You can easily view all of your API payload requests/responses in a live debugger, and your sync logs can be written back directly to Snowflake. Ultimately your lifecycle marketing tool is only as good as the data you give it.
Build more personalized email campaigns using rich customer data from your warehouse
Send automated emails to granular segments of users based on product-usage data
Enable your teams to create more relevant and timely outbound campaigns
Snowflake is a managed cloud data warehouse that helps you consolidate and aggregate your data into a single, centralized platform to tackle analytics use cases. These workloads include data warehousing, data lakes, data engineering, application development, data sharing, and business intelligence.Learn more about Snowflake
About Salesforce Pardot (Sandbox)
Pardot by Salesforce offers powerful marketing automation to help marketing and sales teams find and nurture the best leads, close more deals, and maximize ROI.Learn more about Salesforce Pardot (Sandbox)
Other Snowflake Integrations
Other Salesforce Pardot (Sandbox) integrations
Hightouch Playbooks: Best practices to leverage reverse ETL
Read more about Hightouch
What is Operational Analytics & Why You Should Use It
Operational Analytics shifts the focus from simply understanding data to taking action on it in the tools that run business processes. Instead of using dashboards to make decisions, Operational Analytics is focused on turning insights into action – automatically.Read
Activate data to any of your marketing and advertising tools
This might be one of the greatest inventions for technical marketers since the advent of legacy CDPs back in 2015.
Head of Marketing Technology
Your data is always secure
SOC 2 Type 2 compliant
Your data stays secure, available, and confidential. To see our report, .
If you’re in the EU, your data is only processed on EU data centers.
Healthcare companies like ThirtyMadison, Chapter Health, and Headway trust Hightouch.
To see our DPA (Data Processing Addendum), .
increase in return on ad spend
improvement in email engagement
lift in customer acquisition