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From innovators to FORTUNE 500 companies – Revuze Big Data Consumer
Analytics Platform helps organizations to dominate their markets. Here is some of them:
Revuze VS Talkwalker Comparison
Searching for the right Customer Experience Management platform is exhausting. Each platform uses different data sources and caters to different use cases. Talkwalker is all about social media analytics and brand level audience insights. On the other hand, Revuze leverages e-commerce reviews together with social media and internal data (such as customer satisfaction surveys and user feedback) to provide a product surrounding customer-centric analytics.
This is exactly why when choosing between Revuze vs. Talkwalker, one should take a closer look at each vendor’s technical abilities, data sources, and whether they are marketing centric or product centric. Another important aspect to take into account is how granular the information is and whether you can generate actionable insights for your use case.
The onboarding process is also an important aspect because some systems require experts with deep integration which would require IT professionals while other platforms are fully self service.
Boaz Grinvald, CEO of Revuze
“Revuze vs Talkwalker: Guidelines For Comparing Customer Experience Management (CXM) to Social Media Analytics Tools- Find Out Why Businesses Like Yours Choose Revuze Over Talkwalker”
Talkwalker is a social media analytics solution that uses data in order to provide a high level brand analysis and audience insights. It also applies social listening to offer limited consumer insight analysis.
Revuze is a customer experience management solution that leverages multiple data sources such as e-commerce reviews, social media and internal data sources (like customer satisfaction surveys and user feedback). Revuze provides a holistic CX measurement and competitive research from the feature/function to product/SKU, and all the down to the brand and category level.
Revuze Explorer allows you to understand what your customers think leveraging unstructured data to auto discover topics and the sentiment towards it.
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