How to connect Apple Search Ads to R

Discover how to connect Apple Search Ads to R and how to integrate Apple Search Ads with other data sources to build an organization-wide data model.

WITH DATA VIRTUALITY PIPES
Replicate Apple Search Ads into a target storage and analyze it with R.
How to connect Apple Search Ads to R with Pipes


About Apple Search Ads

Apple Search Ads is an acquisition channel that connects advertisers (App Developers) with their target audience. To appear when a user enters a particular keyword in the Apple App Store, marketers need to place a bid on the keyword to share their app with users that have a proven interest in specific terms.

About R

R is a software environment and programming language supported by the R Foundation for statistical computing and for statistical graphics and computing. Data miners and statisticians use the language R for developing statistical software. Source code for the R software environment is primarily written in Fortran, C, and R.

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to Apple Search Ads, R and more than 200 other cloud services and databases. Automate your data workflows with data pipelines.

DATA VIRTUALITY OFFERS TWO PIPES SOLUTIONS

depending on your needs.

Pipes

Easy and reliable data replication in the cloud

Pipes enables you to move data from any data source to your target storage or data warehouse on schedule. Integrate your data with just a few clicks and without any coding.

Pipes Professional

Advanced data replication hosted in the cloud or on-premises

Pipes Professional enables you to transform and model your data with SQL before replication. Customize your data pipelines and build data models across sources in 80% less time.

Pipes Professional features include:

  • Cloud/On-Premises Hosting
  • Complex Data Transformations
  • Advanced Jobs & Schedules
  • Multiple Target Storages
  • Custom Extraction Definitions
  • Job Dependencies
  • SQL Modelling Layer
  • Complex Replication Types
  • Custom Job Triggers
Your future with automated data workflows is only a few clicks away.