Objective
Business Opportunity: within the e-commerce market - specially for SMEs, do not have the knowledge or the resources to use and/or accesses consumers’ data properly due the high investment they need in terms of costly tools & human resources. The best information that the ecommerce can gather comes directly from the consumers, which implies surveying them, which requires a big effort from the participants (to fill) and from the brands (requiring validation and analysis).
Friendkhana added value: provides an innovative SaaS solution to make short, intuitive quizzes that can be integrated with a single line of code in our client´s on line stores. It generates real-time information about the users, - enhanced seamless with their social network data - to enrich user profiles to cluster a new data base, while they are having a more personalized experience. Friendkhana offers a SMEs e-commerce with a competitive customizable solution that provides a richer database of their users to make better ROI-directed marketing campaigns while they benefit for better recommendations and a better customer experience.
Phase 1 objectives is to accelerate the market adoption and international penetration of Friendkhana focus on preparing ourselves for the commercialization of at the international level (including route-to-market, marketing strategy, growth strategy, etc.) by evolving the product from TRL6 to TRL9 stage
Impact: As a result of this project, Friendkhana will grow considerably, generating 55 new qualified jobs by five years after the project ending and generating a cumulative EBITDA of 58,9 M€
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences data science
- natural sciences computer and information sciences databases
- social sciences economics and business business and management commerce e-commerce
- social sciences economics and business business and management business models
- natural sciences computer and information sciences artificial intelligence machine learning
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.3.6. - SOCIETAL CHALLENGES - Europe In A Changing World - Inclusive, Innovative And Reflective Societies
MAIN PROGRAMME
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H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME-1 - SME instrument phase 1
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-SMEInst-2016-2017
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
28010 MADRID
Spain
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.