TUI took the dubious honor of the Phone Number Database most annoying commercial at the end of 2015. The public didn't like the commercial where TUI sent a hard-working father who had turned into a monster on vacation. After 'winning' the lead lion, there was a huge number of negative messages about TUI on social media. TUI marketers immediately Phone Number Database saw how winning this award had an impact on the conversation around their brand and used the insights from social media data to generate input for a cool inhaker. By reacting Phone Number Database directly with this data-driven inhaker, TUI was able to completely turn around the opinion.
People appreciated TUI's approach Phone Number Database and this was immediately apparent in a large number of positive messages (which made the sentiment more positive). A sentiment analysis is a good example of how you can use the power of social data to draw a conclusion about the effect of a campaign. Sentiment Phone Number Database analysis for TUI in Coosto seen. The turnaround from negative to positive sentiment shows that consumers appreciated TUI's takeover. In this sentiment analysis, a dataset of messages via social Phone Number Database media is first found. In the case of TUI, these are all messages about the TUI brand, but also related words such as Arke and 'leaden lion' for this campaign.
Analyze and optimize An automatic Phone Number Database system (in this case Coosto) then looks at the words from these messages and to what extent they say something about the author's opinion. For example, the message below is given a positive sentiment based on the word combination 'Nice comment'. This positive Phone Number Database sentiment indicates that the author in question has a positive attitude towards the campaign and thus TUI. You'll think that's all nice and nice, but what's the use of that for TUI? First of all, it gives TUI's marketers direct feedback that the efforts made are positively received.