Dataslayer Data Warehouse is coming!
All your data centralized in one place. Be the first to try it.
New Connectors Available!
Import your data from StackAdapt, Pipedrive, Amplitude, and Salesforce directly into your favorite reporting tools.
Keep working your way. Automatically move all your marketing data to your preferred spreadsheets, databases, or BI tools.
Analyze, optimize, and forecast your data with Marketing Mix Modeling to maximize campaign impact.
Push marketing data into Azure Blob Storage for scalable cloud archival and analytics.
Sync marketing data into Azure SQL Database for centralized warehousing and analytics.
Stream campaign insights directly into GCS; create foundation for BigQuery analytics.
Connect to MySQL, PostgreSQL, SQL Server, Oracle DB, or MariaDB with zero setup.
Consolidate data from various sources into a petabyte-scale data warehouse.
Store data from 40+ connectors in your S3 bucket; simplify marketing data sending.
Import data from over 50 sources directly into Snowflake, transforming it into a centralized hub.
Store campaign data from 40+ sources; automate reports and save time.
Import in seconds your marketing data into Power BI, QLIK, AWS, Tableau and more.
Transform data into insights using over 40 connectors with Power BI integration.
Import campaign data faster and save time with reporting for Data Studio (formerly Looker Studio).
Seamlessly import marketing data from various sources into Excel for analysis and reporting.
Import all your campaign data from Facebook, TikTok, Bing, Google Ads, DV360, Google Analytics, and more.
Create custom reports with the metrics and dimensions that matter most. Analyze your campaign performance and audience behavior to make data-driven decisions that optimize marketing strategies.
With the Mixpanel connector, you can track core product analytics and user behaviour KPIs, including Event Counts, Unique and Active Users (DAU, WAU, MAU), Average Session Duration, Funnel Conversion Rates and Retention.
Yes. You can break down your reports using dimensions such as Event Properties, User Properties, Device Type, Platform (iOS, Android, Web), Country and saved Cohorts, to identify which segments convert and retain best.
You can seamlessly export and schedule automatic refreshes for your product analytics data directly into Google Sheets, Data Studio (formerly Looker Studio), Power BI, and Google BigQuery.
