Property Details
This company for sale is 10 years old a Software as a Service company started in 2010 in Barcelona with special focus in Natural Language Processing, the company specializes in structuring unstructured data for non-technical users.
From Social Listening to enabling Contact Centers with omnichannel capabilities and text enrichment, this company offers services and tools for the new era of Big Data.
Business Model
• SaaS with monthly subscription. Current clients:
– Agencies:50%
– Brands, Organizationsor, Politicians:50% •
Pricing
– From 300€/month (10K mentions) to 3,000€/month (1M mentions)
Other Products
- – Streams: 850€/month
- – Monthly Reputation Reports: 600€/month
- – Opinion and market Studies: 2,500€
Products
- Main product: An easy to use Analytics tool with Real Time data for non-technical users.
- Secondary products: Streams for unassisted KPIs on TV screens, Ranking sites based on popularity and Connectors to ticketing services like Zendesk.
- Automated Sentiment, Language, Gender, Influence and Category assignment.
- Automated Alerts and Reports based on templates to customise users’ needs.
- Advanced indexing features to add new mentions to the dashboard.
- Training tool in place for Machine Learning.
- Easy to add customer private data from any type of source (Satisfaction surveys, Results of focus groups or interviews, Customer history (CRM), Incident history (Help Desk), Corporate email.
- Comparisons: graphical analytics to compare brands or products with advanced filtering like sentiment or two levels of categories.
- Maps: More than 50% of mentions geolocated in an interactive map thanks to the data obtained by Twitter and the Sites provider.
- Reports: 5 different sets of graphics and KPI reports plus a tool to make your own reports and templates and send them by email or export to PPT.
- Streams: Unassisted real-time graphics and KPIs from your own templates shown in a carroussel optimised for TVs and screens.
Customers
– UBER
– Sonar
– Decathlon
– LEGO
– Orange
– Sika
– Pirelli
– Amazon
– Correos
– BPI
Note: Library images may have been used for display purposes