How to get started with our Snapchat Ads integration

1

Enter your Snapchat Ads credentials to create a connection.

Connection docs
2

Select a predefined report or specific data to extract from.

Walkthrough
3

Select the target data warehouse or lake and start loading your data.

Connection docs

See Snapchat Ads in action

Put your Snapchat Ads data to use.
Deliver Snapchat Ads data at the right time, to the right people.

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Transform your data

Turn raw data into business data models with SQL or Python.

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Activate your data

Sync data directly into your tech stack with reverse ETL.

Everything you need to simplify advanced data integration

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Zero Infrastructure to Manage

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Managed SQL/Python Modeling

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Predictable Value-Based Pricing

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Reduced Data Development Waste

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No-Code Any Data Ingestion

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Efficient Database Replication

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Infinite Scale

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Integrated Data Activation

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Proactive Troubleshooting

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Greg Robinson

Staff Data Scientist

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"Before, we'd have to do an API integration with a bunch of data engineers to get a single data source into a data warehouse. It took a really long time, was very, very expensive and it was prone to human error. Now, we've dramatically cut all that down with Rivery."

FAQ

What analytics ready data can you extract from Snapchat Ads API?

Rivery offers a set of Predefined Reports for Snapchat Ads for rapid data integration. Using these reports, you can quickly analyze the data without having to learn the intricacies of the way the data is organized within the Snapchat Ads API. Simply provide your Snapchat Ads credentials and choose the report to load into your cloud data warehouse.
The Snapchat Ads data source in Rivery comes with the below predefined reports (click to navigate to the full data structure documentation):

Why extract data from Snapchat?

Integrating Snapchat with Rivery enables you to leverage your ad performance data for better campaign optimization and audience insights.

  • Measuring Engagement with a Younger Audience: Snapchat is known for its younger demographic. Extracting ad data allows you to understand how effectively your ads resonate with this group, tracking engagement metrics like swipe-ups, shares, and video views.
    Optimizing for Interactive Formats: Snapchat’s unique ad formats, such as AR Lenses and Story Ads, offer different interaction opportunities compared to traditional ads. By pulling this data, you can assess which creative formats are driving the most engagement and adjust your campaigns accordingly.
    Tracking Performance Across Multiple Devices: Many Snapchat users interact across multiple devices. Extracting the data helps in tracking the complete customer journey and understanding how ads perform across mobile and tablet experiences.
    Detailed Demographic Insights: Snapchat provides valuable insights into user demographics, such as age groups, regions, and device types. With Rivery, extracting and analyzing this data helps fine-tune audience targeting and better tailor your ads to resonate with different segments.
    Aligning with Your Broader Marketing Strategy: By integrating Snapchat data with other marketing platforms, you can compare performance across channels and see how Snapchat ads contribute to your overall marketing success.
How often does Snapchat's API update?

Update Frequency: Snapchat’s Marketing API doesn’t have a fixed schedule for major version updates. Typically, Snapchat releases new versions or updates every 6-12 months, but these can vary depending on changes to their advertising products, privacy regulations, or major new features.
Details: Snapchat introduces updates to support new ad formats, measurement improvements, or optimizations to existing functionality. Minor updates for bug fixes and small feature enhancements may happen more frequently, without major version changes.
Changelog: Snapchat provides a changelog in their developer documentation to track updates. They usually offer a deprecation period for older versions when a new major version is released, giving developers time to transition.

How can I use Rivery’s data connectors?

Using Rivery’s data connectors is very straightforward. Just enter your credentials, define the target you want to load the data into (i.e. Snowflake, BigQuery, Databricks or any data lake and auto map the schema to generate on the target end. You can control the data you need to extract from the source and how often to sync your data. To learn more follow the specific docs.

Do data connectors comply with GDPR?

Yes. All data connectors within Rivery comply with the highest security and privacy standards, including: GDPR, HIPPA, SOC2 and ISO 27001. In addition, when the data flows into your target data warehouse, you can configure it to do so via your own cloud files system vs. Rivery.

What are the most popular data connectors?

The most popular data connectors are for use cases like marketing, sales and finance. These include Salesforce, HubSpot, Google Analytics, Google Ads, LinkedIn Ads, Facebook Ads, TikTok and more.

How does Rivery extract data from database integrations?

Rivery supports both CDC database replication and Standard SQL extraction so you can choose the method that works best for you. Learn more here.

Power up your data integration

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