Adverity

With Adverity I can control what data I am recovering, where it goes and what it is used for with its easy to use interface. Building custom reports, regardless of the platform the data comes from, is simple and typically never hits a technology snag. Many of its rivals do not provide these features. In addition to aggregation, programming and transformation parameters are also useful for extremely specialized data, such as scope.

The Adverity support team has become an extension of our analytics team. Because we are a smaller agency with a singular analytics point-person, it was critical for us to work with a company that has robust tech support.

Ease of use, various data connection points readily available for integration and extraction, ranging from Social platforms to various DSPs. Users can easily set up a frequent data update and even connect with other dashboards like Data Studio

Allows my non-data engineer marketers to extract and transform data without knowing Python. Supermetrics and similar technologies pull data, but there is still a significant data strategy around schema naming rules and labor to alter the data. When compared to using Google Sheets, Excel, or a visualization engine like Google Data Studio, Adverity allows us to standardize our data approach and schema across all our clients and accounts, saving us a ton of time and lowering the risk of human errors.

1. Very powerful and flexible. You can do almost any ETL-related operations. Transformation mechanism is powerful and marketing-oriented - some complex transformations typical in marketing can be done easily. Data can be retrieved from different sources, including Spreadsheets and email attachments - an unfortunate, but often occurrence in data automation :) Debugging, scheduling, cleaning up and joining data - everything is very powerful and imposes almost no limits. 2. High quality support. It doesn't happen often with complex technical products, but our requests are quickly understood and detailed help is provided. If it requires some technical fixes, they happen within reasonable time. 3. Quick implementation of new data connectors. Several times we asked to add support for a new connector, and it was implemented quickly and without extra cost - increasing the value we get out of the tool.