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This article examines in detail how businesses in both B2B and B2C contexts are leveraging AI, sentiment analysis, voice-of-customer (VoC) platforms, predictive analytics, and streaming data to capture customer insights in the moment. Think of the star rating prompt right after an Uber ride, or the thumbs-up/down after a Netflix episode.
After all, Silverpop’s twin heritages in B2C email and B2B marketing automation both use simple data models: flat lists for email and basic lead/contact/account tables for B2B marketing automation. This is what they get from a CDP. It’s less surprising to see another CDP system than to see it coming from Silverpop.
gated-cta-in-post] Customer service plan examples Business-to-consumer (B2C) and business-to-business (B2B) companies both use customer service plans to enhance the customer experience and to provide guidelines for uniform interactions. B2C companies have a customer base of individual consumers, whereas B2B companies deal with businesses.
Analytics derived from customer contacts are used by the company to reduce costs, identify operational inefficiencies, and improve service for large B2C businesses. Its primary features include survey creation, sentiment analysis, sociallistening, and AI-powered insights.
B2C technology companies knock it out the park with this type of personalization. Spotify’s yearly reports on what music each user listened to, Netflix’s “Because you watched X”, and so on. Sociallistening and responding is also a great opportunity for individualized engagement. The curated. The customized.
There are majorly three types of data sources for gathering VOC data and they differ for B2B and B2C. . Social media channels and forums are great examples of indirect VOC data sources. With sociallistening, you can cater to all this chatter on the web. STEP 1: Identify the data sources and gather them in one place.
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