Applying ‘Web 2.0’ principles tophilanthropy

The San Francisco FoundationAnnual Board of TrusteesMeeting

Premal ShahPresidentKivawww.kiva.org

"Revolutionising how donors and lenders in the US are connecting with small entrepreneurs in developing countries”

InternetLender

Online marketplace

Local Partner(MFI)

Entrepreneur

Money

Information

Kiva 101

+400,000 social investors have lent +$55 million in 39 months

Other Key Stats• Growth: $1M loans every 10 days.• Risk: 3.5% delinquency rate / < 0.5% default rate• MFI Portfolio: 111 MFIs in 45 countries. Growing 3 a month.• Traffic: 800,000 site visitors last month• Organization: 35 employees / +400 volunteers • Leverage: Platform raises $8 in loans for every $1 donated.

5 yr goal = $1 Billion

Kiva utilizes 4 “Web 2.0” principles

1. Create an “Addictive” User Experience

2. Be “Radically Transparent”

3. “Crowdsource” against constraints

4. Build in “increasing returns on data”

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Create an “Addictive” User Experience

“Addictive” = Easy + Fun

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How Kiva tries to make it “Easy” Transparent and simple

human story / impact

Affordable

Quick

How Kiva tries to make it “Fun” Rich user generated content, changing fast...

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Loans are fully funded in hours (MFI staff love

this)…

Transactions happen every 37

seconds…

Real time un-edited

progress updates from

around the world…

‘Popular’ entrepreneurs rapidly rise to

the top…

Randomized “1 minute of

fame “ for Lenders…

How Kiva tries to make it “Fun” My Page, My Portfolio…

“My Page” encourages self

expression, evangelism and

loyalty…

“My Portfolio” concept encourages further lending, risk diversification and inter-

lender competition…

For some, Kiva is becoming very addictive!

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KivaFriends.org – unofficial Kiva community forum

(built by our users)

Several results when searching

for the word: “Addicted”

Be ‘Radically Transparent’

Transparency Authenticity Trust

Kiva and Radical Transparency

Paying for Kiva’s overhead is an explicit choice

Kiva and Radical Transparency

Data inaccuracy and defaults are made explicit

“Crowdsource” against constraints

Big constraint? + No resources? =

Crowdsource

Kiva and “Crowdsourcing”

Kiva Fellows Program How do we train MFIs, gather progress updates and verify data accuracy hyper-fast?

Kiva and “Crowdsourcing”

Kiva Translator Program How do we immediately translate entrepreneur profiles from native language to English?

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Kiva and “Crowdsourcing”

We have little money, but great partners!

Free payment processing and employee support

120 Million free banner impressions

Free Google Adwords – 25% of

traffic

Free Yahoo Search Marketing and

employee support

Free promotion (Community Impact

Award)

Funding for Field Research and Development

Free phones for cell based data upload

pilot

Free promotion of Kiva widget to

bloggers

Free computers and early funder

Build in “Increasing Returns on Data”

Leading public platform + Data integrity

“Increasing Returns on Data”

“The Long Tail’

“The Long Tail”

Result: 30,245,763 loans found

Kiva and “Increasing Returns on Data”

World’s largest DB of microfinance investments

Long Term: Entrepreneurs could use Kiva as a public credit bureau…

Short Term: MFIs could use Kiva to build credit worthiness to other funders…

Thank you and questions

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APPENDIX

Kiva’s Risk Model helps manage risk on Kiva’s platform and creates an incentive for MFIs to improve transparency and performance.

Inputs

1) Self-reported MFI Data• Organizational age• Gross Loan Portfolio (GLP)• Overall Portfolio At Risk (PAR)• Organizational Self Sufficiency (OSS)

2) 3rd Party MFI Data• Financial Audit Results• Credit Rating Score• Kiva Audit Results• Outside funder Quality• Network Affiliation Quality

3) MFI Performance on Kiva• Total Outstanding Kiva Loans• PAR on Kiva Loans• Kiva Fellows’ Journaling Coverage

Outputs

1. MFI Reputation on Kiva’s site

2. Monthly Fundraising Limit

3. Kiva Audit Prioritization

Kiva Risk Model