eBrandValue
eBrandValue provides event-driven social-engagement analytics software that stacks business intelligence on top of social signal data. The platform evaluates mindshare to predict sales weeks in advance, gauges market share fluctuations relative to competitors, and identifies key influencers and successful tactics. It delivers actionable insights through critical KPIs that drive marketing standards and best practices for multi-channel campaigns.
- Data & Analytics
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Brands struggle to extract meaningful business intelligence from social media data, often treating social platforms merely as news channels for monitoring and crisis management. Traditional brand management sources like surveys are slow and miss the real-time, observed behavior data available through social signal analysis, leaving companies unable to predict sales or track market share shifts effectively.
Solution
eBrandValue provides event-driven social-engagement analytics software that stacks business intelligence on top of social signal data. The platform evaluates mindshare to predict sales weeks in advance, gauges fluctuations in market share relative to competitors, and identifies key influencers and successful tactics. It delivers actionable insights in the form of critical key performance indicators that drive marketing standards and best practices, enabling brands to conquer their category through socially-integrated, event-focused multi-channel marketing.
Target Audience
Primary customers are brand managers, consumer insights departments, and marketing executives at consumer goods companies who need real-time social data intelligence to inform strategic decisions. The platform also serves agencies and marketing science professionals seeking advanced brand analytics.
Features
- Event-driven social-engagement analytics with next-generation deep-analysis tools and visualizations
- Mindshare evaluation that predicts sales weeks before traditional data sources like Nielsen Scantrack
- Competitive market share fluctuation tracking and user ID switching behavior analysis
- Consumer loyalty metrics that inform strategy for multi-channel marketing campaigns
- Meme-based netnographic segmentation to build more accurate customer profiles
- Sector-based business intelligence platform with mathematical modeling of consumer reactions