Full disclosure from IndyMac. Not only do they dare to
list their toughest competitors, they even provide direct hyperlinks to make
it easy for users to check out the competition. In this example, LoansDirect
($1,076 savings) and MortgageBot ($605 savings) both offered substantial
savings on loan origination fees for a 30-year, 7% mortgage.
Open lending has long been embraced in the off-line mortgage market.
Mortgage brokers, accounting for nearly 7 out of every 10 retail mortgage
origination in 1999,1 have been practicing a form of open lending
for years. In theory, they take a customer’s loan application, match it with
the best loan program from dozens of wholesale lenders, and deliver the best
possible deal.
In practice, the process is ripe for abuse. As with any 100%-commission
product, there is a temptation to recommend the loan that is best for the
broker’s pocketbook, not the applicant’s. The personal finance literature is
full of warnings about this conflict of interest.
1Source: Mortgage Banking, 4/01; the percent fell to less
than 50% in preliminary 2000 data.
On the Internet, it’s easier for consumers to compare prices and avoid
purchasing a non-optimal product. According to Mortgage Banking (Oct.
2000), 56% of recent homebuyers used the Internet at some point in the
mortgage process . However, loans, and mortgages in particular, can be hard
to compare, that’s why the auction model makes so much sense.
LendingTree, by far the industry leader, struck a chord last year
with its $50-million advertising campaign featuring bankers falling all over
each other trying to capture the applicant’s business. The company is
beginning to reap the rewards of its 40% consumer awareness level. Last year
the company received 1.8 million loan applications, 716,000 (40%) of which
were good enough to funnel to one or more of its 100+ lenders. The results:
57,000 closed mortgage, home equity, auto, and personal loans and 88,000
credit card accounts
MortgageBot goes even further for rate shoppers. It allows users to
search in their home market if desired.
By selecting the “Apples to Apples” section, users can view profiles
of the top mortgage sites as determined by Gomez.
In total, LendingTree facilitated $4.6 billion of closed loans in 2000, more
than 10% of the entire online loan market, according to figures in its
annual report.1 In 2001, the LendingTree may double that amount,
booking close to $10 billion, while reaching profitability in the fourth
quarter.
What have you got to lose?
In a recent Mortgage Banker’s Association study of consumers using the
Internet in the mortgage process, 72% shopped more than one lender (see
Table 1, below). Furthermore, 12% of those looked at 5 or more lenders.
Shopping was even more prevalent in the refi segment, with 85% looking at
more than one lender; and 17% of those considering 5 or more.
Table 1
Lenders Considered by Online Mortgage Shoppers
percent of sample performing each activity
| Activity |
Total |
Home Buyers |
Refis |
| n= 865 |
n = 584 |
n = 281 |
|
Considered only 1 lender |
24% |
28% |
15% |
|
Shopped more than 1 |
76% |
72% |
85% |
|
If shopping, how many lenders considered? |
|
2-4 |
88% |
90% |
83% |
|
5 or more |
12% |
10% |
17% |
Source: 2000 Internet Home and Mortgage Shopping Survey, Mortgage Bankers
Association, 10/00 (see Table 2)
Let’s say you aggressively roll out open lending on your Web site. Even
if 25% of your applicants ended up with brand X, we believe you would still
be far ahead in the long run. First, you’d have a much larger applicant pool
as word got out. Second, satisfaction would increase with the more open
process resulting in a higher close rate and more repeat business. Third, by
referring marginal applicants to appropriate financing alternatives, there
would be fewer outright declines, so you’d have less angry (ex) customers
for your other banking services.
And even if some of your best customers ended up with a Brand X loan
initially, you would still be in a great position to bring them back with a
preapproved refinance offer when rates dropped.
Or you could be more aggressive on the front end, offering to beat the
competitor’s rate before it closed. For example, say a customer is approved
for a Brand X HEQ loan of $75,000 for 50 basis points (0.5%) less than your
published rate. If you thought this customer was worth keeping, and you
trusted the underwriting process of Brand X, you could match the rate, add
$5,000 to the credit line, and handle it as a “prequalified” deal, so the
there was little additional paperwork. 8
1Total online lending market size was estimated as $44
billion by Forrester.
Research Notes
Consumer Attitudes
- 27% of consumers reported that poor customer service kept them
from getting their loan online
- 22% were concerned about privacy and security
- 14% were concerned about closing the loan on time
Source: Nick Karras, (nkarris@gomez.com
) Gomez Advisors, in speech at the most recent MBA Technology Conference
(reported in Inside Mortgage Technology, May 7, 2001)
- 53% of consumers want to simplify their personal financial
services by maintaining a relationship with their mortgage origination
firm and tracking their monthly mortgage payments online
- 27% of online mortgage shoppers who elected not to apply did so
because they wanted service from a local branch
Source: Mortgage Banking, April 2001
Table 2
Mortgage Shopper Attitudes on Applying Online
percent of sample listing each reason
| Activity |
Total |
Home Buyers |
Refis |
| n= 865 |
n = 584 |
n = 281 |
|
In the future, how likely are you to use the
Internet to apply? |
|
Definitely will |
23% |
19% |
32% |
|
Probably will |
25% |
25% |
26% |
|
Might/might not |
39% |
42% |
31% |
|
Probably will not |
10% |
12% |
8% |
|
Definitely will not |
3% |
3% |
4% |
|
Of those who are hesitant to apply (might not,
probably will not, and definitely will not), why? (can select more
than 1) |
|
|
n = 487 |
n = 354 |
n = 133 |
|
Prefer personal contact |
56% |
59% |
48% |
|
Do not feel safe* |
38% |
34% |
47% |
|
Cannot locate needed info |
15% |
15% |
17% |
|
Other |
10% |
10% |
11% |
|
No answer |
10% |
9% |
11% |
Source: 2000 Internet Home and Mortgage Shopping Survey, Mortgage Bankers
Association, Web-based survey of 1,005 consumers who took out a mortgage in
2000 (new or refinance) and used the Internet at some point during the home
buying or mortgage process, fielded Oct. 17 through Nov. 7, 2000
*Full answer: I do not fell safe providing my personal info via the
Internet
Customer Service Performance
- Gomez Advisors found that only 33% of online lenders provided
timely email responses
- 40% of online lenders who were sent an email asking for a
return call to apply by phone did not answer the message
Source: Mortgage Banking, Dec. 2000
Commercial Bank Efforts
Bank of America recently launched a
private-branded version of Homestore.com at www.bankofamerica.com/homesolutions
as part of a $10.5 million marketing and Web services agreement between
the companies.
Source: company press release, 5/01
Source: Mortgage Banking Oct. 2000
-
16% of banks under $10 billion have
implemented online lending (April 2001 study by Tower Group)
-
1,830 of 4,541 (40%) credit unions with more than
$10 million have online loan applications (NCUA Dec. 2000)
Source: as reported by CUES Techport, 5/29/01
Consumer Demand
-
60% of those looking for mortgages go to the
Web for some sort of assistance (according to Morgan Stanley Dean
Witter)
-
56% of those recently buying a home used the
Internet at some point in the mortgage process
Source: Mortgage Banking Oct. 2000
Table 3
Activities of Online Home/Mortgage Shoppers
percent of sample performing each activity
| Activity |
Total |
Home Buyer |
Refi |
| n= 1005 |
n = 709 |
n = 296 |
|
Used Net during mortgage process |
86% |
82% |
95% |
|
Activities of those who used Net in the mortgage
process: |
|
|
n = 865 |
n = 584 |
n = 281 |
|
Obtaining info on rates |
87% |
89% |
83% |
|
Obtained info on mtg. process |
65% |
69% |
54% |
|
Finding a lender/broker |
37% |
32% |
48% |
|
Applied for preapproval/prequal |
31% |
31% |
32% |
|
Applied for loan |
20% |
15% |
30% |
|
Closed a loan |
5.1% |
3.9% |
7.5% |
Source: 2000 Internet Home and Mortgage Shopping Survey, Mortgage Bankers
Association, Web-based survey of 1,005 consumers who took out a mortgage in
2000 (new or refinance) and used the Internet at some point during the home
buying or mortgage process, fielded Oct. 17 through Nov. 7, 2000
Vendor Processing Volume
According to Digital Insight, as of Dec. 2000, the six
leading online loan application vendors were processing nearly 100,000
applications per month. In comparison, LendingTree processed about 133,000
applications per month on behalf of its 114 lenders (see Table 17).
Table 4
Application Volumes at Third-Party Processors
percent of sample performing each activity
|
Processor |
Apps/Mo |
% of Total |
|
Digital Insight |
25,000 |
26% |
|
Lending Solutions |
20,000 |
21% |
|
FiData |
20,000 |
21% |
|
Fiserv |
17,000 |
18% |
|
Appro |
10,000 |
10% |
|
Alltel |
5,000 |
5% |
|
Total |
97,000 |
100% |
|
Memo: LendingTree, Q4 2000 average |
133,000 |
n/a |
Source: Digital Insight, 12/00, as reported by CUES
Techport, www.cuestechport.com
, 5/29/01
Mortgage Distribution
|
Number of mortgage brokerages (retail) |
30,000 |
|
Market share |
50% to 70%* |
|
Number of mortgage bankers (retail, wholesale) |
2,500 |
|
Market share |
30% to 50%* |
|
Number of online mortgage lenders tracked by Gomez |
300 |
Source: Tuttle Risk Management Services, cited by
Mortgage Banking, 6/01 Gomez Advisors, 5/01
* varies by year
Table 5
Gomez Quality Indicators
|
Metric |
2001 |
2000 |
|
Spring |
Winter |
Fall |
Summer |
Spring |
| Percent of visitors* who closed loans |
0.14% |
0.34% |
0.30% |
0.30% |
0.80% |
| Percent of visitors* who started
application |
ina |
ina |
4.3% |
3.4% |
4.5% |
| Percent of applications that were completed |
ina |
ina |
28% |
56% |
39% |
| Percent of completed applications that
closed loans |
ina |
ina |
27% |
39% |
44% |
| Percent of customer service calls returned
within 5 minutes |
52% |
ina |
ina |
ina |
ina |
| Percent of email inquiries answered
correctly within 24 hours |
25% |
ina |
ina |
ina |
ina |
| Average site speed |
2.0 seconds |
ina |
ina |
ina |
ina |
| Web site failure rate |
1.1% |
ina |
ina |
ina |
ina |
Source: Gomez Advisors <Gomez Advisors> as reported by Mortgage Banking,
2000/2001
*total unique site visitors