2. Marketplace lending in NL (2014 and 2015)
Lending is de dominant type of crowdfunding
2014 2015
Crowdfunding (million EUR) 63 128 (+100%)
Crowdfunding per capita (EUR) 3,80 7,50
Lending based (million EUR) 41 92,4 (+125%)
Consumer loans (million EUR) < 1 3,6
Average loan size consumer loans (EUR) < 10.000 10.000
Purpose of loan Home improvement
Business loans (million EUR) 41 88,8 (+125%)
Average loan size business loans (EUR) 90.000 90.000
Purpose of loan Growth and working capital
3. Consumer lending marketplaces in NL
Consumer lending marketplaces
CrossLend Geldvoorelkaar Lendex Lendico
Loan size (euro) 1.500 - 30.000 1.000 + 1.000 + 500 - 50.000
Term (months) 6 - 60 6 - 120 12 - 60 6 - 180
Costs lender Interest rate + 0,5 to
5%
Interest rate + 125
euro at publication +
1,25% at funding +
0,95% per year
Interest rate + 5,7 to
8,9%
Interest rate + 0,5 to
3,75% (depending on
credit score and term)
Costs funder 1% per investment 0,3% per year (in total
max 2,1%)
1% of repayments 0,5% for consumer
loans with 6 months
term, 1% for other
loans)
4. Quality:
• Data input
• Analysing and scoring
• Managing loans
Speed:
• Online
• Guarantee funding?
Price:
• Platform costs
• Consumer: interest rate
• Lender: ROI
The search for excellence
How to win in the market of (online) consumer lending
Hoe zorg je dat je een interessant aanbod hebt, waar mensen in investeren?
Crowdfunding is doubling every year the last 5 years
Lending based crowdfunding is the dominant type of crowdfyding
Since last year, consumer lending seems to be taking off slowly in the Netherlands
1 player focuses mainly on business loans (Geldvoorelkaar)
3 new players
Is there much difference on these general characteristics? So, what is important? Next slide
Marketplace lending for consumers loans is in competition in the market of online consumer lending. What is needed for a winner?
Quality:
The right data input, the more useful data, the better the analysis of this data can be (and of course: making sure the data is correct)
An analysis and scoring system that gives a very good prediction of the performance of a loan
Managing loans to keep the performance up
Speed:
If most data input and analysis is online, consumers can get a near ‘instant’ experience
If analysis, scoring and performance are at such a high quality that ROI can be projected, automated matching will contribute to the near ‘instant’ experience
Price:
Efficiency
Quality of analysis, scoring and management
Ending with a joke/look towards the future: Dutch bank Rabobank is since last week promoting that consumers can get a mortgage within a week (if they have all the paperwork ready). But, if everything is online (from application to analysis), an instant mortgage seems to be possible in the future, via marketplace lending.