Build powerful workflows in Klaviyo with data from your SaaS apps, coming from your data warehouse.
Load data from Klaviyo to your Data Warehouse
Start moving your Klaviyo data to BigQuery, Snowflake, or Redshift with fully managed data pipelines. Get clean normalized data ready for analytics, easy to setup in minutes with no coding required. Up to 1 minute sync frequency for real-time data syncronisation.
View more about the Klaviyo integration in the Weld documentation
View the Klaviyo data avaialble in the Data Schema
Transform and model Klaviyo data
Get clean data models from your Klaviyo data. Weld makes it easy to transform and model with the powerfull built in SQL editor.
Connect Klaviyo data to any BI tool
Transform and combine Klaviyo data with other data sources with Weld, to build valuable business insights. Connect any BI Tool to build valueable analytics and reporting for your company.
Send data to Klaviyo
Sync data from any data source to Klaviyo, with the Weld Reverse ETL, for powerful data enrichment. Easy setup fully managed data pipeline to Klaviyo in minutes with no coding required.
Here are four popular data analytics use cases with data derived from and pushed to Klaviyo:
- Personalized Campaigns Based on Advanced Segmentation: By pushing enriched customer profiles and behavior data from the data warehouse to Klaviyo, marketers can craft highly specific segments. For instance, a segment could consist of users who viewed a particular product category in the last 30 days but haven't made a purchase in 60 days. Such granularity in segmentation aids in designing ultra-personalized email campaigns, leading to better engagement rates.
- Lifecycle Event Triggers: Using historical data and predictive analytics in the data warehouse, businesses can anticipate significant customer lifecycle events. By pushing this information to Klaviyo, automated email triggers can be set up for events such as predicted churn, customer anniversaries, or when a user is likely to make a repeat purchase.
- Dynamic Product Recommendations: Analyzing purchase history, browsing patterns, and other behavioral data in the data warehouse can help businesses identify products that a customer is most likely to be interested in. Pushing these personalized product recommendations to Klaviyo ensures that email campaigns feature products that resonate with the individual recipient, increasing the chances of conversion.
- Enhanced A/B Testing with Richer Data: By integrating more extensive data sets from the data warehouse, Klaviyo users can conduct more nuanced A/B tests. For instance, instead of just testing two email subject lines, businesses can test how different customer segments respond to those subject lines based on attributes like purchase history, location, or engagement with previous campaigns.
By integrating Klaviyo with a data warehouse using reverse ETL, businesses can leverage a richer data ecosystem. This synergy empowers them to design hyper-personalized marketing campaigns, optimize customer interactions, and drive significant growth in their marketing ROI.