Tags: technology*

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  1. When marketers first started creating their own branded apps, user acquisition was their top priority. But they eventually realized that a huge user base doesn’t neccesarily translate to high app engagement, and many users abandon an app after a few tries. eMarketer’s Tricia Carr spoke with Lou Orfanos, head of sales and marketing at mobile engagement platform Localytics, about tactics and technologies that are helping marketers build up their apps’ active and engaged user bases.
    https://www.emarketer.com/Article/Using-Right-Technology-Data-Keep-Mobile-App-Users-Engaged/1016776/
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  2. Putting customers’ needs before a brand’s self-interest is not an easy thing to do. But brands that do not address customer feedback and shift business strategies accordingly are missing an opportunity, according to Michele Silvestri, EVP and chief design director at GTB.
    http://www.thedrum.com/news/2017/09/01/how-brands-can-use-technology-fix-the-customer-feedback-loop-brand-love-stories/
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  3. Imagine that your company’s technology is loved by customers, considered ‘best of breed’ in the industry, and has a steady NPS, comfortably in the 20s, 30s or 40s. Now imagine that in the midst of this success, some of your longest standing accounts begin to drop, others scale back their usage, and referrals slow way down.

    How, you ask, is it possible? After all, isn’t the whole point of having a high NPS to ensure successful retention, upselling, and referrals?
    Here’s the secret: When it comes to technology, NPS has a blind spot.
    http://customerthink.com/tech-companies-beware-of-the-nps-blind-spot/
    Tags: , , by eringilliam (2017-11-22)
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  4. The IoT (Internet of Things), the convergence of IT and OT, rapid application development, digital twin simulation models, cyber-physical systems, advanced robotics and cobots, additive manufacturing, autonomous production, consistent engineering across the entire value chain, thorough data collection and provisioning, horizontal and vertical integration, cloud computing, big data analytics, AR/VR and edge computing amidst a shift of intelligence towards the edge: these are some of the essential components of the fourth industrial revolution.
    https://www.i-scoop.eu/industry-4-0/
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