CDTM Trend Report: Fighting Hunger in the Digital Era

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Social Business Model Key Resources

Type of Interventions

Key Activities

Physical ■■ Office space ■■ Server infrastructure

Operating IT platform ■■ Software development and site setup

Intellectual ■■ Technology on betting / verification

Operating betting and prediction system ■■ Create accurate and reliable system

Financial ■■ Initial funding required Human ■■ Specialized Staff

Partners & Key Stakeholders I/N/GO marketing agencies ■■ Initiating dialogue with users

Customer acquisition ■■ Marketing: on the ground via key channels Verification of prediction results ■■ Use case: number of registered refugees in Turkish camps Surplus distribution ■■ Use case: donation to Turkish refugee camps and humanitarian organizations involved

I/N/GOs, government, and private research institutions ■■ Sources for outcome verification

■■ Prediction market service to

forecast events utilizing wisdom of the crowd faircast’s three services: ■■ Low price prediction for clients ■■ Betting platform for users ■■ Surplus donations to beneficiaries ■■ Use case: WFP accesses informa­ tion when and how much emergency response

Channels To users ■■ Mobile phones ■■ Social media ■■ NGOs (flyers for vouchers) ■■ App-stores

Segments Clients (IGOs, GOs, privates, NGOs) ■■ Use case: WFP Quest: How many refugees are going to arrive in Turkish camps in May 2016?

Customer Segments ■■

End-customers in rural areas

■■

End-customers in urban areas

■■

Businesses with internal networks

■■

Mesh application developers

Customer ■■ Use case: Individuals interested either in short-term monetarization, general event outcome predictions and/or “donating” (could be an insider/expert)

To clients ■■ Direct contact ■■ Key partners

IT providers

To beneficiaries ■■ Clients and their partners ■■ Application process

Financial partners for money transactions

Surplus

Cost Structure Fixed costs ■■ Once: Large upfront investment for initial platform development ■■ Ongoing: platform related: HR, server infrastructure, maintenance Variable costs ■■ Betting payouts ■■ Verification ■■ Customer acquisition

■■ Allocation to humanitarian ■■ ■■

Trend

aid organizations Reinvest: improving faircast’s and therefore client’s prediction accuracy Use case: Support aid organizations with migration involvement

Scenario

Revenue Streams

■■ ■■ ■■ ■■ ■■

Ideation Ideation

Users Fee on stakes via reduced odds Clients: One-time fee per question to use the faircast predictions Additional bonus payment in case of accurate prediction

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