How to combine data from Optimizely with FTP/SFTP/SCP

Pipes allows you to quickly Integrate Optimizely with FTP/SFTP/SCP data for a combined analysis.
Load data from Optimizely and FTP/SFTP/SCP into your central data warehouse to analyze it with the business intelligence tool of your choice.
Pipes allows you to connect to Optimizely, FTP/SFTP/SCP, and more than 200 other APIs, web services, and databases with ready-to-use data connectors. Automate your data workflows through data pipelines without a single line of code.
1

Connect your data warehouse

It will be the destination of all data pipelines you build. Pipes supports relational databases in the cloud and on-premises.
2

Connect to Optimizely and FTP/SFTP/SCP

You just need to enter the associated credentials to allow Pipes access to the Optimizely API and the FTP/SFTP/SCP API.
3

Combine data from Optimizely and FTP/SFTP/SCP

Pipes lets you select the data from Optimizely and FTP/SFTP/SCP that you want to load to your data warehouse. These data pipelines will run automatically on your defined schedule!

About Optimizely

The Optimizely platform technology provides SaaS solutions to experiment and test ideas for an improved customer experience. To do so clients of Optimizely can use e.g. A/B testing tools, in which two versions of a web page can be compared for performance, and multivariate testing or tools that enable personalization, which may be used for making data-driven decisions.

About FTP/SFTP/SCP

FTP, SFTP and SCP are different internet protocols to access data server for downloading or uploading data.

Your benefits with Pipes

Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.