Adverity

"The best platform to extract Data and Benefits at a good Price"

주석: As a result of having access to Adverity's Datatap, we are able to create dataflows that cover all of our social media performance data, which we can then import into our own internal Database for use in dashboards and other analytics projects. This saved us a lot of money because we don't have to spend a lot of time developing new software to incorporate this data and keep the connections running, as well as giving us more time to view our data and share it with others. This allows us to fully understand the impact of our social media channels, so we can create better content and improve our social media strategy.

장점:

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.

단점:

When there's a problem, we don't always get alerts right away. We always find that some problem is being worked on, but we don't know what it is. For the rest I have no more complaints about Adverity

All in one tool

주석: Adverity is our all-in-one solution for a data warehouse, ETL, and data visualization.

장점:

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.

단점:

The data connectors can be finicky at times which causes us to troubleshoot.

Great Data Integration tool

장점:

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

단점:

Setting up data connections can be tricky for first time users, but you easily get used to it once you set up a few

An excellent low-code ETL tool

주석: Furthermore, we are working with our fantastic account manager to create one-of-a-kind budget burn and workload forecasts by integrating our time tracking system and project management software.

장점:

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.

단점:

The platform's user experience could be improved. It is not always obvious where to look for what you are looking for. It's complicated at first, but you quickly get the hang of it. I'd also like to see more template options. I wish the platform provided more administrative management features. However, they have already begun to incorporate these elements in general. It will be interesting to see how the platform's management capabilities evolve.

Extremely customizable and powerful tool for marketing data automation, with a steep learning curve

주석: Automating marketing reports was a big challenge for us, given the size of the company and diversity of our marketing channels. Data has to be retrieved, cleaned up, unified, joined and exported to different visualization tools.
Adverity became an essential tool in our data chain, connecting to almost any marketing data source. We never encountered a situation where we couldn't implement the ETL we needed because of Adverity. And sometimes it helped us to replace other tools as well.

장점:

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.

단점:

Learning curve is substantial - understanding the logic of the product takes time and some technical skills. Some error messages are not explanatory and, again, require some experience with the product and technical knowledge. Documentation is still in development, and extra communication with support team is inevitable.