How to combine data from Daisycon with Hubspot

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

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

Combine data from Daisycon and Hubspot

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

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.

About Hubspot

HubSpot is an all-in-one platform for inbound marketing, marketing automation, sales, CRM and customer service. The platform also includes tools for social media marketing, content management, web analytics and search engine optimization.

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.