ETL from Pinterest to Amazon Redshift in a few clicks

Extracting Pinterest data with Rivery empowers your marketing team to understand how visual discovery impacts your brand’s performance and audience engagement.

Analyzing Visual Engagement: Pinterest is all about visuals. Extracting pin and ad data allows you to see which images, videos, or product pins are gaining the most traction, helping you refine your visual content strategy.
Understanding Shopper Intent: Pinterest users often save pins as part of their decision-making process. By extracting data on saves, clicks, and conversions, you can gain insight into how your products are being considered by potential buyers, helping optimize for conversions.
Customizing Campaigns by Interest: Pinterest offers unique audience insights, such as the interests and categories people are searching for. Extracting this data enables better alignment between your content and what your audience is looking for, improving the relevance of your ads.
Connecting to eCommerce Performance: If your business sells products online, pulling Pinterest data helps track ad effectiveness in driving sales and traffic to your store. With Rivery, you can also compare this data to other eCommerce platforms for a complete view of your sales funnel.
Improving Brand Awareness: Pinterest is a platform where users discover new brands. By extracting data, you can assess how well your brand is performing in terms of reach, impressions, and engagement, helping inform brand awareness campaigns.

• Update Frequency: Pinterest updates its API less frequently than some other platforms, with major updates or new versions happening roughly every 1-2 years. However, minor updates, like bug fixes, rate limit changes, or small feature enhancements, occur more frequently, sometimes every few months.
  Details: Pinterest usually releases updates in response to new advertising features, measurement improvements, or to support new ad formats and analytics capabilities. Like Snapchat, Pinterest provides a transition period for developers to migrate from older API versions when a new one is launched.
  Changelog: Pinterest maintains a developer changelog that highlights updates, including breaking changes and new features.

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.

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.

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.

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