Connect Twitter and Branch to Improvado in several clicks.
Improvado normalizes raw data and channels it in your visualization platform
Get fresh and highly granular insights on your marketing efforts from custom dashboards
Social media platform Twitter offers its Twitter Ads service, which allows you to create, manage, and optimize campaigns targeted at Twitter users. The Twitter integration can seamlessly import data from your Twitter account, such as retweets, favorites, link clicks, page visits, and direct messages.With the Twitter connector, you can sync your Twitter marketing data with your marketing automation solution and use the data for email marketing, lead generation, and social media campaigns. It also allows you to integrate your Twitter data into your other platforms, such as your email marketing database and website.
Branch is a marketing analytics solution that allows you to connect points of touch from every marketing channel with conversions on any platform. Branch solves discrepancy issues caused by legacy attribution tools. Improvado extracts all data from Branch via an API connector and stores all normalized data in a warehouse. Later on, it can be analyzed with a visualization tool of your choice to get valuable insights.
Advanced data visualization tools offer detailed dashboards that connect Twitter and Branch data in a one-piece representation of your marketing performance. With custom dashboards you can:
Joining Twitter and Branch allows for new capabilities of your marketing analysis. With these data merged in your visualization tool, you can uncover new insights and better understand what drives your new clients towards your product.
Improvado is a full-cycle ETL solution that provides businesses with more insights into their marketing efforts and ensures marketing data granularity. We are experts in integrating Twitter and Branch. Improvado streamlines your marketing data from any ad channel right into your warehouse or directly into a data visualization tool. Marketing has never been so optimized before.