Brand Experience Analytics - A Guide For Brand Marketers
Overview Brand experience is the overall sentiment a customer feels with regard to his engagement with a brand. It is one of the biggest contributors to customer acquisition and brand loyalty. In this article, we talk about what brand experience means in new-age marketing techniques and what machine learning (ML) processes are involved in brand experience analytics. We will also explore four customer brand experience case studies that showcase the strategic insights you can extract with the help of an AI-driven sentiment analysis platform for driving business growth through effective branding.
What Is Brand Experience? As the name suggests, brand experience is the sum of all the feelings that entail during a consumer’s engagement with a brand during the buying cycle. As a marketing function, brand experience is based on product experience, customer experience, and brand management, and therefore is often-times used to predict consumer behavior. That’s why you can identify key opportunities for brand amplification through voice of customer analysis. On an overall business level, customer brand experience constitutes brand involvement, brand personality, the customer’s personal feelings delight, passion, or familiarity - with a brand, which ultimately translates into sales conversions.
Why Is Brand Experience Important?
How Can We Analyze Brand Experience? We analyze customer brand experience by identifying and analyzing sentiment in customer experience data through machine learning algorithms. This data is gathered through various sources like social media listening, review platforms, blogs, and ofcourse, survey data. An AI-driven customer experience platform analyzes brand experience using many ML subtasks such as natural language processing (NLP), named entity recognition (NER), etc., in the following steps. Step 1 - Data collection Step 2 - Data processing Step 3 - Data analysis Step 4 - Data visualization
Conclusion: Customer brand experience can be a very powerful way to influence buying decisions amongst customers. AI-driven sentiment analysis of user experience data can give you granular brand experience insights to help improve your brand value and brand recognition. Leverage Repustate IQ and boost your branding strategies with precise, targeted, actionable insights. With built-in capabilities like search inside video, semantic clustering, and multilingual data analysis across a wide array of sources including surveys, you get all the right marketing directions you need right at your fingertips.
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