How to combine data from Twitter Ads with Daisycon

Pipes allows you to quickly Integrate Twitter Ads with Daisycon data for a combined analysis.
Load data from Twitter Ads and Daisycon into your central data warehouse to analyze it with the business intelligence tool of your choice.
Pipes allows you to connect to Twitter Ads, Daisycon, 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 Twitter Ads and Daisycon

You just need to enter the associated credentials to allow Pipes access to the Twitter Ads API and the Daisycon API.
3

Combine data from Twitter Ads and Daisycon

Pipes lets you select the data from Twitter Ads and Daisycon that you want to load to your data warehouse. These data pipelines will run automatically on your defined schedule!

About Twitter Ads

Twitter Ads is Twitter’s advertising platform for brands to promote its products and reach new users. Twitter offers many simple Twitter ad formats and there is no minimum advertising budget required.

About Daisycon

Daisycon helps advertisers achieve their online marketing objectives by collaborating with a strong network of publishers which they support in maximising their earnings from email databases and websites. Daisycon is active in all of Europe. They offer services for lead generation, afilliate marketing and app-installs.

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.