Relevant social conversations were mined for a leading US-based bakery chain, which reduced time to market by 2x, identified emerging trends early on, and catered to consumer emotions and excitement, increasing product overall sales and ticket sizes.
Based on unbiased conversations sourced from social media, LatentView Analytics’s Natural Language Processing (NLP) platform helped one of the top five largest banks in the US to create a product association map for the youth segment.
The ‘best’ micro-occasions in terms of product fit, popularity & brand fit were identified for a US-based food manufacturer using social media data analysis. Micro Occasion analysis was used to formulate new products in the LATAM region.
Lexical analysis of organic social conversations for a leading global software company enabled the product marketing team to prioritize the features to be developed and make a detailed product development roadmap.
Social analysis, including comprehensive text mining (NLP), was done for a leading snack foods and beverage manufacturer. Based on insights delivered, the company improved on dollar share across key events, with the highlight being a $158 million opportunity during a period of 8 weeks after Thanksgiving.
Social media conversations were mined to identify emerging flavors and the underlying emotional and functional drivers associated with them for a leading US-based beverages and snack foods manufacturer. This reduced innovation cycle time by 1.5x. Twenty flavors were identified at a fraction of ideation cost, and the company gained a significant first-mover advantage.
A global technology devices and software firm saw an increase of 4% in purchase conversions after promotion campaign reorientation based on social insights derived from NLP analysis.
