Today, consumers are beginning to, in a very real sense, own your brands and participate in their creation. The changing consumer landscape, coupled with influence of social media has increased the challenges of brand tracking.
Current brand tracking approach of primary research is not only expensive, it is fraught with limitations. Primary market research is undertaken either annually or bi-annually. It is time consuming and does not give you the flexibility to add any new attributes to the study. Moreover, it doesn’t cover social media.
Other brand tracking tools are challenged to determine consumer sentiments accurately. With information overload, missing insights, and lack of relevant screening filters, brand tracking tools fail to equip marketers with brand insights that matter.
EmPower Research’s social media-led framework for brand tracking
Our brand tracking framework is designed to provide insights to marketers on multiple parameters.
Features
- Brand awareness: Helping you track awareness levels and variations across geographies, languages, and consumer segments
- Brand perception: Helping you understand perception and experience of brands, and themes that consumers associate with the brand
- Brand sentiment: Helping you discover discussion tone around the brand, determine sentiment type, and capture feedback from such sentiments
- Brand consideration: Helping you understand consumer loyalty, favorability in comparison with competition, and insights about drivers- both loyalty and switching behaviors
Why EmPower Research's Social Media Brand Tracker for CPG? Top reasons
- We provide human-enabled filtering delivering custom metrics based on filtered conversations from social media
- Drive best-in-class content aggregation through a source-agnostic approach. We use proprietary tools (EmPower mediaInteractive) and other licensed tools for a comprehensive content aggregation
- We listen to conversations that takes place in closed communities which other social media aggregation tools are not equipped to do so
- Accurate tagging of conversations by relevance, content, sentiment and context using human intelligence interfaced with best-in-class technology
- Multilingual analysis using a hybrid approach of translation tools, combined with in-house as well as an on-demand partner pool of language experts