Extract your data from Kochava and automatically load it to a Microsoft SQL Server data warehouse. Reduce manual reporting time by 90%Explore
Improvado is an an ETL platform that extracts data from Kochava, transforms it, and seamlessly loads the results to Microsoft SQL Server. Speed up your decision-making process and quickly implement optimizations without wasting time crunching the data.
Every platform uses different words to describe its metrics. What one platform calls “impressions” another calls “imps” and another calls “views.” This is a major hassle for marketers who want to combine and analyze the data they’ve gathered from multiple platforms. Instead of diving into analytics, they waste 90% of their time just preparing the data for analysis, resulting in hours of productive time lost.
With Improvado, you get analysis-ready data with unified naming across all platforms. You always have access to the raw data and unified reports should you need them. This flexibility allows you to get answers faster and uncover more valuable insights.
Use Improvado’s data transformation tool to perform a variety of tasks, from simple to complex data transformations, based on your business’ needs.
Simply connect Kochava to Improvado and start building data pipelines faster—no coding required. Anyone familiar with Excel has the skills to build scalable data pipelines in Microsoft SQL Server.
Control what creatives are being run or monitor them on your dashboard. Streaming active creatives directly to your database presents many opportunities to increase your marketing efficacy.
Take advantage of our Solution Engineering team to help you to automate your entire marketing pipeline.
You are not only getting access to the most advanced and innovative marketer-focused reporting software but also unparalleled customer experience, including:
Microsoft SQL Server (MySQL) is a database management tool for relational database storage, analysis, and editing. It allows businesses to manage transactions, as well as intelligence and analytics relating to those databases.