nova stanford 2016
TRANSCRIPT
Misha Gideon Nicky Loek
120 interviews
Enabling immigrants access to credit through global credit data integration
This week:5
Total:88
InterviewsKey hypotheses
From B2C to B2B
From everyone to FCUs
From buying credit reports to credit analytics
From lender to CRA
No lending license, become a CRA
40+
60+
60+
10
5
Pivots # interviews
Customers can’t access credit products
Lenders need international data
They will be willing to pay $100+
Nova can access this data at a CPA of less than $50
Nova is legal
Hypotheses tested
Pass
Pass
Pass
In progress
Pass
Pass/fail
This week:5
Total:88Credit without borders
InterviewsKey stats
$220Bn
market
60% appro
val rate
$1,000+
CLTV to
Lender
$100 ARPU
50% Gross Margi
n
$20 Av. cost per
report
$10/$120
b2B/b2C CPA
3% default rate
3 pilots [NEW]
$200 CLTV
to Nova
This week:5
Total:88Credit without borders
InterviewsNova--Value Proposition
This week:5
Total:88
InterviewsNova has evolved
Esoteric asset
financing crowdfunding
Student Credit Lines @ Student Loan Rates
International Student Credit Cards
Student Lending
Solution for Corporate Sponsors
Foreign Professional
LeadGen
International Credit Data Aggregator for
B2B
Startup Garage (Fall ‘15) Lean Launchpad (Winter ‘16)
Where we started
Scrape international data
This week:5
Total:88
InterviewsOriginal BMCKey Activities
Key Partners
Value Props
Customer Relationships
Channels
Customer Segments
Revenue Streams
Connect and map to FICO
Local banks will be willing to partner
International banks will be willing to partner
Borrowers access more/cheaper productsCUs underwrite better, faster, cheaper
Nova provides new and valuable data to CRAsEducation to immigrants on USA system
Existing GSB relationships
Non-GSB customer relationships
Leads from FCUs
Non-immigrant workers
Lenders
Immigrants
Receive $100 per B2B underwrite decision
International CRAs will be willing to partner
Old VP: Enabling immigrants to access capital in the US and realize their potential
Data marketing at immigrants
Holding customer hand to export international data
This week:5
Total:88
InterviewsBusiness Model CanvasKey Activities
Key Partners
Value Props
Customer Relationships
Channels
Customer Segments
Revenue Streams
Connect global CRAs together
Credit unions underwrite immigrants
Secure lending license asap!
More/cheaper productsCUs underwrite better, faster, cheaper
CRAs a data provider not a customer (yet!)Education to immigrants on USA system
National Organization of Credit Unions
GSB connections for mentors and advisors
A tonne of bottom up research!!
CUs bring us leads
H-class immigrants
Direct marketing a second order priority
Lenders
Workers in home country
Receive $100 per B2B underwrite decision
Customer approval avoids need for CRA integration
80% NEW BMC
InterviewsMVP
InterviewsMVP
FULL CREDIT PASSPORTCORE CREDIT PASSPORT
Immigrants feel like “second class citizens”● Secured cards● Exorbitant rates with tiny credit limits● Rejection● Resort to taking loans from family or
local immigrant diaspora
This week:5
Total:88
InterviewsStory 1: Second-class citizensValidated in 40+ interviews
This week:5
Total:88
InterviewsCustomer relationships and segments
Selling to all lenders
Targeting Aussies in Silicon Valley
Credit Unions with a high immigrant base
H-1B visas from India and China
What we thought What we learned
Customer relationships
Customer segments
BMC
InterviewsThis week:
5 Total:
88Credit without borders● Absence of credit
options● Distrusting of
products, want to have a trusted brand name
● Value simplicity● Desire for growth
and serving their needs
Validated in 40+ interviews
This week:5
Total:88
Interviews
“The world is getting more
unequal and Nova credit has enormous
potential to help millions of people”
- Eric Schmidt
Our “big idea”
Lenders have hacks in the absence of proper information. Auto manufacturers have programs for foreign professionals without credit history. Credit Unions, in the absence of good quality data, make non-data driven lending decisions based on affiliate networks or incomplete information. They all have a need for good quality international credit information.
This week:5
Total:88
InterviewsStory 2: Quality data solves a real pain point
Validated in 60+ interviews
This week:5
Total:88
Interviews
Promising large scale origination
Partnering with CRAs
Focusing on global
Channels, partners and regulatory
Delivering pure B2B
Data aggregation
US data import
Channels
Key partnersReg.
What we thought What we learnedBMC
This week:5
Total:88
Interviews
Bottom-up: door-to-door with Bay Area credit unions
Through the middle: mapped the credit union space and COLD CALLED
Top-down: National Credit Union Foundation, Filene
We got out the building
Interviews: foreign professionals and Stanford students
Survey: immigration survey
Feedback: various MVP processes
US CRAs: US credit reporting agencies
Int’l CRAs: international CRA partnerships
Regulation: process, timing and cost of becoming a CRA
This week:5
Total:88
InterviewsStory 3: Disrupting the CRAs
Regulation to become a consumer reporting agencies is much easier than to become a lender and we can get a CRA license quickly and inexpensively
Validated in 20+ interviews
This week:5
Total:88
Interviews“Stories” have translated into thematic shifts
User pays
Broker / issuer of financial products
Partner pays
CRA
Revenue streams
Reg
What we thought What we learnedBMC
● No fatal flaw in business model● Nova will be regulated as a consumer
reporting agency (CRA) because (i) retain consumer information and (ii) receive revenue from lenders
● No licensing required to become a CRA simply requires proper disclosure (1.5 weeks)
● Nova cannot deny services to US citizens
● >50% chance of getting a patent!
InterviewsNova will be regulated as a CRA
● Engaged Pillsbury Law through Startup Legal Garage
InterviewsWeek 1 we thought our comps were lendersWe were wrong
Cred
it Re
porti
ng
Agen
cies
Domestic Banks
FinTech
Inter
natio
nal
BanksPayment
partners
Not a priority;more growth in unbanked and heavy reliance on FICO
Some ad hoc solutions;Prefer to work on provisioning and growth of TAM
Some new entrants;Lending algorithm still needs to be proven
Limited, ad-hoc actions;Regulatory limitations of accessing data internationally
No action in space
InterviewsCRAs prepare to be disrupted!
Cred
it Re
porti
ng
Agen
cies
FinTech
lenders
Relocation/ Housing Services
Financial data
scrapersCre
dit U
nion
Servic
e
Organ
izatio
ns
$30
InterviewsOur business model
Advisors
NovaScore
Credit Unions
CRAs
Legal (recourse)
Legal (licenses)
FinTechs
Feedback (-/+ reporting)
Employers$100-$1,000
$20
Thank you Nova mentors...
InterviewsFinancial model
InterviewsMarket sizing
42.1MTotal Global Citizens in the US as of 2015
1.4MNew-to-country students and professionals in the US in 2014
$155BPotential revenue from Global Citizens in the US
This week:5
Total:88
InterviewsChannels - what we found and did
What we foundWhat we did
Virtual product, virtual channel Data aggregator, validator, processor
B2B channel sell through lenders White-labeled Nova terminal
B2C channel origination through website Nova landing page. Started (digital) marketing
Virtual product B2B: data visualization & summary
Start with Nova dashboard. Later API integrations with existing underwriting software
Future channel potentially selling aggregated data
Maintain database with as much raw data as possible to gather