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  1. Event-driven feedback is online user feedback collected using triggers based on visitor behavior. It is essentially a way of capturing the customer’s views on their experience while the experience is still fresh in their minds.
    https://mopinion.com/what-is-event-driven-feedback/
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  2. It was a great turnout at the Marketing Technology 2016 event this year. Companies from all over the Netherlands came together to listen to fellow marketers, CTOs and growth hackers share their experiences. Among the speakers were big-name companies like Adobe, Philips, Unilever and Transavia.
    https://mopinion.com/look-back-on-marketing-technology-2016/
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  3. I left you all with the question: will Digital Customer Feedback take a step forward? I had my doubts, but thanks to our latest Benchmark survey, we now have some solid insights.
    https://mopinion.com/the-island-called-digital-customer-feedback-part-two/
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  4. Online feedback forms come in many different shapes and sizes. To initiate these different types of feedback forms on a website or mobile app, two different methods are used: a passive approach (e.g. a feedback button on the side of your website) and an active approach (e.g. triggering a feedback form when a customer reaches a certain goal on the website, or when a visitor leaves the page).
    https://mopinion.com/passive-versus-active-online-feedback-forms/
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  5. Website feedback analytics provides insight into what your visitors experience on your website. It is a critical supplement to other tools used to analyse (click) behaviour, such as Google Analytics. With user feedback, you get insights into how your customers experience your website. In other words, website feedback analytics explains the story behind the click behaviour of your visitors.
    https://mopinion.com/what-is-website-feedback-analytics/
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  6. From user experience to annual benchmarks and from text analytics to customisable dashboards, we’ve covered a lot this past year. Mopinion’s blog touches on all things customer feedback with articles catered to every digital role.
    https://mopinion.com/mopinions-hottest-blog-posts-of-2016/
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  7. As a proud sponsor, Mopinion is pleased to announce the launch of a new online community: User Feedback News. This global community shares curated content surrounding trending topics such as user feedback, user experience and technology.
    https://mopinion.com/a-new-community-for-user-feedback-news/
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  8. The first online survey software and questionnaire tools initially surfaced in the late 1990s. These were more traditional survey tools that included a long list of questions, anonymous respondents and were only accessible on a PC. However ever since the emergence of website feedback, online survey tools have evolved and therefore, managed to stay ‘in fashion’ among online marketers.
    https://mopinion.com/top-21-online-survey-software-questionnaire-tools-overview/
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  9. Mopinion’s new data loader feature will enable users to import their own feedback data sets and easily visualise and analyse this data from external sources in our dashboards.
    https://mopinion.com/mopinion-releases-new-data-loader-feature/
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  10. Sound familiar? If so, then I’m guessing you’ve already approached a digital agency or are looking to do so in the near future. In both cases, perhaps it’s helpful to consider a few of the benefits of doing this first.
    https://mopinion.com/speak-to-your-digital-agency-about-online-customer-feedback/
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Mopinion: The Leading User Experience Tool

Mopinion is a proud sponsor of User Experience News. The voice of the online user is taking on an increasingly important role when it comes to improving websites and apps. So web analysts and digital marketeers are making more and more use of User Experience Tools in order to collect experience from the user. Mopinion takes it one step further and offers a solution to analyse and visualise User Experience results from your websites and apps wherever you need them. The real challenge for companies is not about capturing experience, it is about how to make sense of the data.