Did you know that you can listen to what they’re saying about you on the web and measure the results of your social media marketing actions?
And did you know that you can take action to improve the perception of your brand and increase sales?
Do you have numerous customer files that need to be updated or reorganized?
Do you want to get the most out of your data and boost sales?
Do you want to act to increase the number of your customers?
Case studies
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Company name: Nokia Italy
Nokia is one of the biggest mobile device providers in the world. To drive marketing campaigns and understand competition in 2010, Nokia wanted to monitor the Web to understand users perception of its mobile devices, issues, concerns, strengths, weaknesses and desires. Also, in a tough but profitable market such as mobile devices, Nokia wanted to better understand its relative position compared to its main competitors and how users decide to buy a device. This was NOT a short term analysis of Web opinion about Nokia. Instead, the monitor had to provide in depth marketing and business sentiment, both tactical and strategic.
The Web monitoring was initiated in January 2010. Nokia can access the conversation database via secure Web access thanks to Freedata Social Reader+ ®. Conversations taking place on the Web about Nokia, its products and competitors are ranked based on their relevance using the semantic analysis phase of the platform. Nokia can also access data mining and analysis reports online which provide marketing with relevant information such as The Brand Race Quadrant ® from Freedata Labs, and semantic maps, topics & features, share of buzz analysis and more.
Thanks to Web monitoring and related analysis, both easily accessible via the Social Reader+ ®, Nokia marketing and business development count on up-to-date information to inform marketing campaigns and initiatives. Moreover, digital press uses the information to get in touch with influential bloggers, communities and others to communicate Nokia product launches and new initiatives. Thanks to the ranking model of the URLs and conversations which are sequentially updated in the database, Nokia can act precisely where most appropriate to build relationships with its customers and fans on a daily basis.
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