What do you like best about Ubermetrics Delta?
1. Support
In my opinion, the support from Ubermetrics is a major advantage compared to other providers with similar performance profiles. A detailed demo is provided in advance, and the requirement criteria are discussed point by point. Assistance is also offered when setting up search queries, in case not all users are familiar with search agents, operators, etc. For detailed questions, help is quickly provided via email or a video conference appointment is offered.
2. Search Queries
The search queries can be designed very precisely. In total, about 275 search terms can be linked with various Boolean operators. This allowed us to narrow down the searches to desired topics so that (almost) only relevant posts are captured.
3. Filter Function
With the new filter functions, the captured mentions can be filtered much better than before. Filtering is possible by language, media (e.g., microblogs like Twitter), sentiment, tags, and user-defined keywords. This way, the captured posts can be categorized simply and effectively afterward.
4. Export Function
The graphics can also be exported as vector files, a major advantage over other providers who often only offer JPG or PNG formats. More importantly for us is the report function, which allows reports to be automatically created and sent. These can be very individually designed - thus, at a specific time (daily, weekly), you get an overview of the most relevant posts, most active users, and can also compare the different search queries with each other.
5. Pathfinder
With the Pathfinder function, the links between the captured posts can be analyzed. This allows, for example, to capture how a press release or a specific article has spread on social media. Review collected by and hosted on G2.com.
What do you dislike about Ubermetrics Delta?
1. Sentiment Analysis
A small point of criticism is the offered sentiment analysis, although we are aware of the current challenges of such analysis, which is why the criticism must be put into perspective. The algorithm learns and assigns the captured mentions the labels "Positive", "Neutral", and "Negative". For short contributions like tweets, this already works quite reliably, but for articles, the sentiment analysis is unfortunately not yet as accurate.
2. API of Facebook and Instagram
The criticism is not directed at Ubermetrics itself; the problem lies with Facebook and Instagram. These companies do not allow the automated querying of certain information, such as the number of likes. Review collected by and hosted on G2.com.
