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These are the user uploaded subtitles that are being translated: 1 00:00:00,210 --> 00:00:05,760 'cause, you know, we all own money, your mortgage, your car, your whatever, your 2 00:00:05,760 --> 00:00:08,050 credit card, let's say your student loans. 3 00:00:08,050 --> 00:00:09,450 So we all own money. 4 00:00:09,750 --> 00:00:11,040 You're not going to jail. 5 00:00:11,040 --> 00:00:13,980 And there, there are ways to manage it and pay it off. 6 00:00:21,570 --> 00:00:26,100 We've spoken about this before in previous episodes on collection. 7 00:00:27,000 --> 00:00:31,050 The fact is we can learn an incredible amount from the mistakes we make, 8 00:00:31,380 --> 00:00:35,640 but too often in lending businesses, we don't build the feedback loops 9 00:00:35,640 --> 00:00:40,230 that are needed to bring lessons back from collections to originations. 10 00:00:40,500 --> 00:00:43,050 Welcome to how to lend money to strangers. 11 00:00:43,379 --> 00:00:45,150 I'm your host, Brendan look range. 12 00:00:45,150 --> 00:00:49,230 And I have been working in consumer lending for the last 20 years. 13 00:00:49,230 --> 00:00:51,650 Delivering projects in Africa, Asia. 14 00:00:52,800 --> 00:00:57,390 And now as the chief solution architect at confirm you a FinTech 15 00:00:57,390 --> 00:01:01,379 that's game of finding access to credit among the end bank, check out 16 00:01:01,379 --> 00:01:04,200 our story in episode 24 of the show. 17 00:01:04,500 --> 00:01:08,370 But if we can learn from collections, then it stands to reason we can learn 18 00:01:08,400 --> 00:01:12,930 even more from the companies that specialize in helping consumers, when 19 00:01:12,930 --> 00:01:15,120 loans go wrong, like the New York. 20 00:01:15,590 --> 00:01:18,350 Debt MD's whose founder and CEO. 21 00:01:18,500 --> 00:01:20,900 James Lambrettas is here with me today. 22 00:01:44,895 --> 00:01:45,255 James. 23 00:01:45,255 --> 00:01:47,024 Lambrettas welcome to the show. 24 00:01:47,265 --> 00:01:52,965 You have a undergraduate degree in finance from Penn state and an MBA from NYU stern. 25 00:01:52,965 --> 00:01:58,065 So all the typical qualifications of a banker and yet the last decade 26 00:01:58,065 --> 00:02:01,815 or so of your career has been spent some might say on the other side 27 00:02:01,815 --> 00:02:05,940 of the fence, Helping consumers to push back against the bankers. 28 00:02:06,210 --> 00:02:09,449 That's probably a little bit of an aggressive description, but certainly 29 00:02:09,449 --> 00:02:14,370 helping travel datas to extract themselves from bad credit situations 30 00:02:14,400 --> 00:02:16,650 and take control of their own debt. 31 00:02:17,010 --> 00:02:19,829 So let's start with that interesting contrast. 32 00:02:20,415 --> 00:02:25,214 Could you expand a little bit on your background and what got you to move 33 00:02:25,364 --> 00:02:27,825 into this world of debt solutions? 34 00:02:27,975 --> 00:02:28,515 For sure. 35 00:02:28,515 --> 00:02:33,825 So before launching that MD Brandon, I worked a, as you said, in the debt 36 00:02:33,825 --> 00:02:39,464 relief industry for five years, my job was to advise people as to what their 37 00:02:39,464 --> 00:02:43,964 best option was to pay off their debt, predominantly credit cards, and then 38 00:02:43,964 --> 00:02:46,094 some medical bills and student loans. 39 00:02:46,094 --> 00:02:48,524 So everyday for five years, I would speak with. 40 00:02:49,485 --> 00:02:53,415 Both in-person and on the phone, assess their financial situation 41 00:02:53,415 --> 00:02:57,465 and then recommend a solution based off their unique circumstances. 42 00:02:58,260 --> 00:03:01,650 What I've found from doing that every day, because, you know, as you can 43 00:03:01,650 --> 00:03:05,940 imagine, when you speak to the same type of person or same type of customer 44 00:03:05,940 --> 00:03:09,390 every day for five years, you begin to glean insights on them, right? 45 00:03:09,510 --> 00:03:12,960 So people in debt they're stressed out, they're under time 46 00:03:12,960 --> 00:03:14,730 constraints to find a solution. 47 00:03:14,970 --> 00:03:19,770 Many of them are misinformed as to what their best option is to become debt free. 48 00:03:19,770 --> 00:03:19,890 So. 49 00:03:20,610 --> 00:03:24,540 That got me thinking, you know, how can I improve this situation? 50 00:03:24,540 --> 00:03:27,300 Make it easier for them to find a solution. 51 00:03:27,450 --> 00:03:30,510 And that's ultimately when I thought of the idea for dead MD. 52 00:03:30,510 --> 00:03:34,650 So I wrote a business plan, raised some capital, and then we 53 00:03:34,650 --> 00:03:36,090 built and launched the platform. 54 00:03:36,825 --> 00:03:40,755 Well, one of the things you have is certainly quite an in-depth 55 00:03:40,755 --> 00:03:44,205 blog section on your website with quite a few good articles. 56 00:03:44,205 --> 00:03:48,165 And one of them that I've seen uptake quite recently was a stat 57 00:03:48,195 --> 00:03:52,905 that 74 million Americans have more credit card debt than savings. 58 00:03:53,115 --> 00:03:58,245 So this really is a huge, I don't want to say problem, but a huge 59 00:03:58,335 --> 00:04:02,295 section of the market that need to be thinking strategically about it. 60 00:04:03,090 --> 00:04:08,250 One question I did have was, do you work primarily or exclusively with consumers? 61 00:04:08,250 --> 00:04:10,620 Who've got problems with their data that I know of. 62 00:04:10,620 --> 00:04:14,040 So consumers that are already in delinquency or. 63 00:04:14,880 --> 00:04:18,540 Struggling to make payments, or do you also work with consumers 64 00:04:18,540 --> 00:04:19,890 who are just acknowledging that? 65 00:04:20,130 --> 00:04:23,370 Look, I'm paying all my debts, but I've got a lot of them and I'm 66 00:04:23,370 --> 00:04:25,170 sure there's a better solution. 67 00:04:25,170 --> 00:04:27,600 I just don't quite know how to solve it. 68 00:04:27,870 --> 00:04:29,130 That's a great question. 69 00:04:29,160 --> 00:04:34,050 So to answer it, honestly, both because you do have that first 70 00:04:34,050 --> 00:04:37,110 group of people that you mentioned where, you know, they're really 71 00:04:37,110 --> 00:04:39,990 struggling, they have average to poor. 72 00:04:40,965 --> 00:04:46,005 They, they can barely keep up with all their debt payments and for people like 73 00:04:46,005 --> 00:04:50,474 that, there's solutions, whether it's a credit counseling or debt relief, 74 00:04:50,505 --> 00:04:52,935 but then you have people who, yeah. 75 00:04:52,935 --> 00:04:56,055 They may have a little bit of a, of on security. 76 00:04:56,895 --> 00:04:57,725 But they're there. 77 00:04:57,765 --> 00:05:01,365 Credit's good, but they're just looking to lower their interest rate 78 00:05:01,365 --> 00:05:02,745 and lower their monthly payment. 79 00:05:02,805 --> 00:05:06,285 And if they have good credit, they're able to do so, because if 80 00:05:06,285 --> 00:05:11,325 the average interest rate on a credit card today, I believe is like 19%. 81 00:05:11,745 --> 00:05:13,995 So why pay 19% interest? 82 00:05:13,995 --> 00:05:18,615 If you could consolidate your debt with a loan, lock yourself at say 7%. 83 00:05:18,765 --> 00:05:23,325 So you could save hundreds, if not thousands of dollars on that debt 84 00:05:23,385 --> 00:05:25,325 and pay it off in a reasonable time. 85 00:05:26,175 --> 00:05:31,095 Instead of kind of spinning your wheels, paying on the individual credit cards. 86 00:05:31,095 --> 00:05:36,285 So in the end, whether you're you have bad credit or great credit, it comes 87 00:05:36,285 --> 00:05:39,645 down to making a wise financial decision. 88 00:05:39,825 --> 00:05:43,125 So you can ultimately become debt free in a short period of time. 89 00:05:43,125 --> 00:05:44,445 So that's what it comes down to. 90 00:05:45,015 --> 00:05:50,625 And before we deep dive a bit of how Tet MD is helping, let's take a 91 00:05:50,655 --> 00:05:52,485 consumer's point of view here quickly. 92 00:05:53,460 --> 00:05:57,090 What are some of the common routes into trouble that you see from 93 00:05:57,090 --> 00:05:58,979 your bird's eye view of the market? 94 00:05:59,370 --> 00:06:03,750 Are there certain specific events or choices or even mistakes that people 95 00:06:03,750 --> 00:06:07,469 are making to lead them to need the assistance of someone like you? 96 00:06:07,710 --> 00:06:08,219 For sure. 97 00:06:08,219 --> 00:06:11,280 And we've actually done some research on this, the top 98 00:06:11,610 --> 00:06:13,219 reasons why people fall into. 99 00:06:13,990 --> 00:06:16,000 Number one is a job loss. 100 00:06:16,240 --> 00:06:19,540 We've also seen, you know, a lot of people that get divorced end 101 00:06:19,540 --> 00:06:23,890 up in debt because you go from two incomes to one and then you might 102 00:06:23,890 --> 00:06:25,720 have to pay child support alimony. 103 00:06:25,720 --> 00:06:26,950 So that's another big one. 104 00:06:27,340 --> 00:06:31,240 And then the third one is like a medical emergency. 105 00:06:31,360 --> 00:06:34,060 You know, stuff happens in life, as we all know. 106 00:06:34,330 --> 00:06:38,070 And you know, if you have to get rushed to the emergency room, Now in 107 00:06:38,070 --> 00:06:41,640 your, in the UK, but here in the U S a lot of people don't have health 108 00:06:41,640 --> 00:06:43,740 insurance, or aren't completely covered. 109 00:06:44,070 --> 00:06:48,540 So when you have that medical emergency, a lot of times, unfortunately, you're 110 00:06:48,540 --> 00:06:54,300 stuck with massive medical bills and a lot of people end up either taking out loans 111 00:06:54,300 --> 00:06:57,150 or charging the medical bills on credit. 112 00:06:57,915 --> 00:07:02,535 Those are the three major life events that we've seen that caused people to 113 00:07:02,535 --> 00:07:06,945 go in debt, which is quite interesting because, you know, there's still, I would 114 00:07:06,945 --> 00:07:11,445 say a stigma around getting yourself into this sort of financial trouble. 115 00:07:11,445 --> 00:07:16,635 And the assumption would be that, oh, these are people who've, overborrowed. 116 00:07:17,420 --> 00:07:20,180 Spent excessively on trivial items. 117 00:07:20,180 --> 00:07:23,360 And of course they are people who struggle with spending on their credit cards. 118 00:07:23,450 --> 00:07:27,380 But it's also clear that these are just a lot of the factors that all 119 00:07:27,380 --> 00:07:31,430 of us face, as you say, we're all liable to hit by a medical emergency. 120 00:07:32,205 --> 00:07:35,355 Things like divorce, obviously sort of wanting to couples will go 121 00:07:35,355 --> 00:07:39,555 through, but you know, a lot of the headlines now buy now pay later. 122 00:07:39,555 --> 00:07:43,665 And whether it's going to encourage young people to overspend where it sounds 123 00:07:43,665 --> 00:07:48,705 like we also need to be thinking a lot more about the other changes, unforeseen 124 00:07:48,705 --> 00:07:52,935 events, bigger events, where it's less of a, a bad habit to more of where you 125 00:07:52,935 --> 00:07:54,285 need some help to get back on your feet. 126 00:07:54,895 --> 00:07:55,885 Yeah, for sure. 127 00:07:55,885 --> 00:07:58,765 And there is this negative stigma for people in depth. 128 00:07:58,794 --> 00:08:02,905 There are a lot of people who they overextend themselves. 129 00:08:03,174 --> 00:08:05,005 They spend more than they bring in. 130 00:08:05,275 --> 00:08:09,294 You know, unfortunately those people end up in that as well, but there's 131 00:08:09,294 --> 00:08:10,885 one point I want to get across. 132 00:08:10,885 --> 00:08:13,375 Sometimes it's people are unlucky. 133 00:08:13,375 --> 00:08:18,114 They, they have these emergencies and getting into debt as a result of. 134 00:08:19,140 --> 00:08:24,300 And I think that if we go looking for silver linings in something like COVID 135 00:08:24,630 --> 00:08:29,969 one of those silver linings might be that it's normalized collections to 136 00:08:29,969 --> 00:08:34,049 some extent, and certainly normalized going to your lender and asking for 137 00:08:34,049 --> 00:08:35,850 some assistance in repaying, your. 138 00:08:36,705 --> 00:08:39,435 We've had people that are losing their jobs. 139 00:08:39,435 --> 00:08:41,025 We've had people who've had the hours cut. 140 00:08:41,355 --> 00:08:45,435 On the other hand, we've had people who've benefited from government programs, or 141 00:08:45,615 --> 00:08:49,725 simply because they couldn't spend, you know, saved money during the crisis, 142 00:08:49,755 --> 00:08:54,855 but you've got a better view of that than I to what have you seen through 143 00:08:54,855 --> 00:08:59,295 COVID through all the way that this has maybe changed the tit environment? 144 00:09:00,285 --> 00:09:00,615 Yeah. 145 00:09:00,615 --> 00:09:05,265 And believe it or not actually during COVID we in the U S I can only 146 00:09:05,265 --> 00:09:10,695 speak for the us, but we actually saw one of the biggest pay downs of 147 00:09:10,725 --> 00:09:12,975 credit card debt, unsecured debt. 148 00:09:13,245 --> 00:09:17,835 In a long time, I want to say 10 or 20 years with the lockdowns people 149 00:09:17,835 --> 00:09:19,695 couldn't really go out and spend money. 150 00:09:20,445 --> 00:09:22,425 With the federal unemployment benefits. 151 00:09:22,815 --> 00:09:27,675 Some people were actually getting more income than they were at their job. 152 00:09:27,705 --> 00:09:31,845 So what a lot of people did was pay down their debt and then the 153 00:09:31,845 --> 00:09:35,475 government did implement these grays periods, especially with student 154 00:09:35,475 --> 00:09:40,005 loans, president Biden actually just extended that, uh, up until may. 155 00:09:40,965 --> 00:09:46,665 Not to mention there was a freeze on for sure rent, and I believe you, you could 156 00:09:46,665 --> 00:09:48,795 get approved to not pay your mortgage. 157 00:09:48,795 --> 00:09:52,725 So that gave people the opportunity with no expenses. 158 00:09:52,725 --> 00:09:54,585 Really everything's closed. 159 00:09:54,585 --> 00:09:55,365 Everything's locked down. 160 00:09:55,940 --> 00:09:57,470 Why not pay down some debt. 161 00:09:57,500 --> 00:09:59,510 So that's kind of surprising. 162 00:09:59,510 --> 00:10:03,110 You think all, everything is so bleak with COVID, which let's be real. 163 00:10:03,110 --> 00:10:06,800 It kind of was, but you know, the one positive is that a lot of people 164 00:10:06,800 --> 00:10:08,270 were able to pay down some debt. 165 00:10:08,420 --> 00:10:08,750 Yeah. 166 00:10:08,750 --> 00:10:12,980 And I think that pattern is repeated in many markets, certainly in the UK as well, 167 00:10:12,980 --> 00:10:17,720 where payment, holidays, or mortgages, where the most publicized first step. 168 00:10:17,990 --> 00:10:21,590 And for most people who have a mortgage, that's your biggest monthly expense. 169 00:10:22,260 --> 00:10:25,290 So it only took one or two months of not paying your mortgage 170 00:10:25,530 --> 00:10:27,270 to pay down your other debts. 171 00:10:27,510 --> 00:10:30,329 Now, some people took it because they lost their jobs and they need the 172 00:10:30,329 --> 00:10:33,750 extra money, but others simply took the payment holiday, use the spare 173 00:10:33,750 --> 00:10:35,430 capital to pay down their credit cards. 174 00:10:35,430 --> 00:10:38,490 And I know Peter position, it will be interesting to see was this just 175 00:10:38,579 --> 00:10:41,640 a pay down that everyone benefits and they start to build back up again, 176 00:10:41,640 --> 00:10:45,360 or will this change behaviors, but yeah, an interesting time, certainly 177 00:10:45,360 --> 00:10:46,470 to be in this side of the market. 178 00:10:47,055 --> 00:10:51,165 Clearly, there's a number of reasons that consumers have caught into 179 00:10:51,255 --> 00:10:54,675 the situation where they asking for some help with managing the. 180 00:10:55,560 --> 00:10:58,949 Let's talk about how debt MD provides that help. 181 00:10:59,250 --> 00:11:00,599 What services do you do? 182 00:11:00,599 --> 00:11:02,790 What does it look like to work with Tet MD? 183 00:11:03,120 --> 00:11:07,319 We're the platform that connects people with the professional help 184 00:11:07,349 --> 00:11:09,060 they need to become debt-free. 185 00:11:09,209 --> 00:11:12,870 We help people with credit cards, medical bills, and student loans. 186 00:11:12,930 --> 00:11:16,589 So the user they'll go onto our platform. 187 00:11:16,740 --> 00:11:18,750 We have what's called our smart debt analyst. 188 00:11:19,415 --> 00:11:24,065 It asks the user questions about their types of debt, total debt, what their 189 00:11:24,065 --> 00:11:27,965 main goals are, whether it's, you know, lower their monthly payment, lower their 190 00:11:27,965 --> 00:11:30,185 interest rate, who's their credit score. 191 00:11:30,545 --> 00:11:34,565 And then based off the answers to those questions, we connect them with 192 00:11:34,565 --> 00:11:38,015 the relevant company or companies that can best assist them with their. 193 00:11:38,925 --> 00:11:42,345 There is no one size fits all solution for anyone in debt. 194 00:11:42,585 --> 00:11:44,385 Everyone's got a different credit score. 195 00:11:44,385 --> 00:11:48,195 Everyone's got a different income, everyone's got different financial goals. 196 00:11:48,195 --> 00:11:51,615 So we want to lay out their options in front of them. 197 00:11:51,705 --> 00:11:54,585 You know, the pros and cons of each, whether it's credit 198 00:11:54,585 --> 00:11:56,775 counseling, that settlement alone. 199 00:11:57,430 --> 00:12:02,680 We want to be that educational partner and form them on, on all these options. 200 00:12:02,680 --> 00:12:05,440 Cause once again, a lot of people, aren't sure the difference between 201 00:12:05,440 --> 00:12:09,880 those three and then ultimately they can decide for themselves what's best. 202 00:12:10,120 --> 00:12:10,330 Yeah. 203 00:12:10,330 --> 00:12:14,500 And I think it's interesting that we've seen a lot of apps on the front end to 204 00:12:14,500 --> 00:12:18,190 helping you to better understand which credit card will give you the best air 205 00:12:18,190 --> 00:12:23,650 miles return, but you're filling that same sort of role at the back end saying, 206 00:12:23,650 --> 00:12:25,210 look, you've taken on these various parts. 207 00:12:25,980 --> 00:12:28,079 A lot of them have terms and conditions. 208 00:12:28,079 --> 00:12:29,370 You probably haven't written yet. 209 00:12:29,430 --> 00:12:33,990 None of us do then you're not coming in from a data is bad approach. 210 00:12:34,020 --> 00:12:36,750 Or, you know, there's an industry here in the UK. 211 00:12:36,870 --> 00:12:40,230 I'm sure it's in there around the world as well, where people will 212 00:12:40,230 --> 00:12:43,350 come in and say, okay, well we can get your data as an office. 213 00:12:43,829 --> 00:12:47,220 And it will cause quite a lot of knock-on impacts people don't fully understand. 214 00:12:48,060 --> 00:12:51,990 Whereas you've taken this neutral approach and sometimes that at approaches, yeah. 215 00:12:52,020 --> 00:12:55,410 He has a debt consolidation loan, which has, you know, this is still taking 216 00:12:55,410 --> 00:12:56,939 on credit and sometimes it's okay. 217 00:12:56,939 --> 00:13:01,170 We need to make a payment plan, but it's not a, uh, out the door. 218 00:13:01,170 --> 00:13:05,220 We want to get all this data to north and we want to make the lender suffer. 219 00:13:05,760 --> 00:13:09,630 One of the things that I saw again on, on your blog when I was scrolling 220 00:13:09,630 --> 00:13:13,530 through it the other day, though, was a warning about scams to look 221 00:13:13,530 --> 00:13:15,750 out for in d'etre payment service. 222 00:13:16,515 --> 00:13:19,095 What are the things to people need to be aware of. 223 00:13:19,905 --> 00:13:20,205 Yep. 224 00:13:20,475 --> 00:13:23,985 Unfortunately like the debt settlement industry is widely 225 00:13:23,985 --> 00:13:25,905 known for having a lot of scams. 226 00:13:26,205 --> 00:13:29,775 If you're looking into like that settlement, that relief, if there's 227 00:13:29,775 --> 00:13:35,235 companies that they say they do not charge you any fees, I would run away as fast 228 00:13:35,235 --> 00:13:39,944 as I can because in the end, whether it's a lender or a credit counseling 229 00:13:39,944 --> 00:13:43,694 agency, any company on the planet, they're in the business of making sure. 230 00:13:44,270 --> 00:13:48,320 If they're telling you that they're not charging any fees, that that's a red flag 231 00:13:48,320 --> 00:13:50,240 and I would not do business with them. 232 00:13:50,480 --> 00:13:54,050 And then you have some companies that offer like some form 233 00:13:54,050 --> 00:13:55,730 of money back guarantees. 234 00:13:55,910 --> 00:13:58,190 Usually this is with debt settlement as well. 235 00:13:58,640 --> 00:14:00,650 You're not buying like vacuum cleaner. 236 00:14:00,650 --> 00:14:03,770 If it doesn't work, they're going to give you your money back. 237 00:14:03,770 --> 00:14:06,140 This is your financial future at stake here. 238 00:14:06,200 --> 00:14:08,690 So once again, that's, that's another major red. 239 00:14:09,750 --> 00:14:11,310 And then I guess I'll leave it at. 240 00:14:11,370 --> 00:14:15,240 And, uh, I know you're, you know, you're in the lending industry, but 241 00:14:15,300 --> 00:14:19,740 some people can't get a traditional loan from a traditional lender. 242 00:14:19,949 --> 00:14:22,500 So they end up going the payday loan route. 243 00:14:22,740 --> 00:14:26,339 And, you know, I don't know how it's still legal, but a lot 244 00:14:26,339 --> 00:14:27,660 of people do get payday loans. 245 00:14:27,660 --> 00:14:30,150 You're talking like hundreds of percentage. 246 00:14:30,785 --> 00:14:33,785 And you literally keep paying and paying and paying and, and 247 00:14:33,785 --> 00:14:35,375 the principle never goes away. 248 00:14:35,495 --> 00:14:35,825 Yeah. 249 00:14:35,835 --> 00:14:39,275 You get to pay off credit cards, but you, you put yourself in 250 00:14:39,275 --> 00:14:41,315 a worse financial situation. 251 00:14:41,315 --> 00:14:45,995 So those are the three main red flags I would watch out for yeah. 252 00:14:45,995 --> 00:14:48,095 On the payday lending industry. 253 00:14:48,275 --> 00:14:52,475 As you said that it's a quick one until suddenly it just builds up and pulls up. 254 00:14:52,655 --> 00:14:56,225 One, one thing I'm interested in is if I've, if I've got this right, 255 00:14:56,225 --> 00:14:57,425 somebody will come engage you in. 256 00:14:58,090 --> 00:15:01,600 He has my date situation and you'll help them solve their problem today. 257 00:15:01,990 --> 00:15:05,560 And sometimes that's enough because as we say, sometimes it's just through divorce, 258 00:15:05,560 --> 00:15:07,390 a medical emergency or student debt. 259 00:15:07,420 --> 00:15:08,620 That's got them where they are. 260 00:15:08,620 --> 00:15:12,940 But for other people where it might be more of bad spending habits are 261 00:15:12,950 --> 00:15:16,720 the other tools that you provide to help them in the longer run I've seen. 262 00:15:16,750 --> 00:15:20,470 As I mentioned already a few times, you've got that great blog and you put 263 00:15:20,470 --> 00:15:24,700 out a lot of good content that how else can you perhaps build these strong. 264 00:15:25,710 --> 00:15:28,440 So that they don't fall into the same situation down the. 265 00:15:29,460 --> 00:15:34,530 I feel like most people keep some type of spreadsheet or budget to see what's 266 00:15:34,530 --> 00:15:39,300 coming in, what's going out, but we've actually built out basically this debt 267 00:15:39,300 --> 00:15:42,000 analysis, personal finance spreadsheet. 268 00:15:42,270 --> 00:15:47,310 As long as you input your debt correctly, with your monthly payments, you can see 269 00:15:47,310 --> 00:15:49,260 exactly what you're paying out each month. 270 00:15:50,045 --> 00:15:53,314 You know, if you keep paying X dollars, this is how long it's 271 00:15:53,314 --> 00:15:54,515 going to take you to pay off. 272 00:15:54,844 --> 00:16:00,814 And we send it to anyone who subscribes to our email list, you know, because 273 00:16:00,935 --> 00:16:04,505 when you have four or five credit cards, the bills are coming and 274 00:16:04,505 --> 00:16:06,035 then that one comes 10 days later. 275 00:16:06,685 --> 00:16:10,165 You never really have a good snapshot. 276 00:16:10,315 --> 00:16:13,075 You know, you just keep paying and you don't really think about it. 277 00:16:13,105 --> 00:16:13,495 Right. 278 00:16:13,675 --> 00:16:16,345 And a lot of people have automatic payments set up, so it doesn't 279 00:16:16,345 --> 00:16:20,275 occur to them with this personal finance, uh, analysis spreadsheet. 280 00:16:20,425 --> 00:16:23,485 They can see exactly what they're paying when you have 281 00:16:23,485 --> 00:16:25,765 like 20,000 or 30,000 in debt. 282 00:16:25,765 --> 00:16:29,755 You'd be surprised people are paying a thousand, $1,500 a 283 00:16:29,755 --> 00:16:31,075 month and just minimum pay. 284 00:16:31,875 --> 00:16:36,045 When you put it in front of somebody's face and they see how much they're paying. 285 00:16:36,375 --> 00:16:38,415 That's when they know they really need to do something. 286 00:16:39,195 --> 00:16:42,915 Get a loan to pay it off or do it on their own, minimize your 287 00:16:42,915 --> 00:16:45,315 expenses, take on another job. 288 00:16:45,345 --> 00:16:49,305 But the point being is doing nothing is like probably one 289 00:16:49,305 --> 00:16:50,565 of the worst things you can do. 290 00:16:50,805 --> 00:16:51,105 Yeah. 291 00:16:51,285 --> 00:16:53,565 And it's a message has come up in a few interviews. 292 00:16:53,565 --> 00:16:56,685 I've done with people in collections where we'd all have 293 00:16:56,685 --> 00:16:58,395 this fear of being yelled at. 294 00:16:59,035 --> 00:17:01,825 It meant that you'd scrambled and try and make solutions. 295 00:17:01,825 --> 00:17:06,265 You take out this payday loan, or you would go down to minimum payment and 296 00:17:06,265 --> 00:17:09,295 then maybe you take another credit card, have minimum payment, all know hope 297 00:17:09,475 --> 00:17:13,225 you could solve this without having to be yelled at nobody ever spoke to 298 00:17:13,225 --> 00:17:17,785 the lender until it was far too late, but as collections as modernized, and 299 00:17:17,785 --> 00:17:19,555 certainly COVID has helped here again. 300 00:17:20,430 --> 00:17:24,060 Making it online, making ways to communicate without the 301 00:17:24,060 --> 00:17:27,450 embarrassment of a face-to-face or a phone call trying to make it. 302 00:17:27,450 --> 00:17:31,260 So consumers do have that conversation early on, because as you said, the 303 00:17:31,260 --> 00:17:32,280 worst thing you can do is nothing. 304 00:17:33,435 --> 00:17:36,945 And I think that's one thing I want to pick up on here now, because he, as you 305 00:17:36,945 --> 00:17:41,385 mentioned, I've always worked in lending and I think one big systematic problem we 306 00:17:41,385 --> 00:17:46,845 have there is that we turned have a very good feedback loop at an individual level. 307 00:17:47,145 --> 00:17:51,165 So we would bold a model for a lending product. 308 00:17:51,195 --> 00:17:54,975 And we would look at the risk profile and we'd say on this portfolio. 309 00:17:54,975 --> 00:17:59,084 So let's say if we issue a 10,000 loans, as long as less than 2% of them go to. 310 00:17:59,940 --> 00:18:03,750 We're making profit and then we'd roll out the product and we'd measure the risk. 311 00:18:03,810 --> 00:18:06,630 As long as it's less than 2% is going bad. 312 00:18:06,780 --> 00:18:10,530 We never really think about it, but every one of those people that do go 313 00:18:10,530 --> 00:18:15,210 to LinkedIn for them individually as usually some sort of personal trauma, 314 00:18:15,480 --> 00:18:18,810 not every time, but I'd say, and maybe you do have some numbers, but the 315 00:18:18,810 --> 00:18:21,930 vast majority of people something's gone wrong, they're upset about it. 316 00:18:22,110 --> 00:18:23,160 It's really stressful. 317 00:18:23,490 --> 00:18:23,910 It's trauma. 318 00:18:24,735 --> 00:18:27,525 And they don't want to go through collections. 319 00:18:27,645 --> 00:18:30,675 No, never, but we kind of forget about them because while it's 320 00:18:30,705 --> 00:18:32,625 within, within our target, for sure. 321 00:18:32,775 --> 00:18:36,885 But these consumers, no doubt, one lenders to think about it and actually say, how 322 00:18:36,885 --> 00:18:40,635 can you build a better product so that people don't go through that and you will 323 00:18:40,635 --> 00:18:42,645 have had a unique experience of this. 324 00:18:42,645 --> 00:18:44,835 You know, we were supposed to learn from our mistakes. 325 00:18:45,135 --> 00:18:47,505 You can see the lending industry's mistakes. 326 00:18:48,395 --> 00:18:52,475 Have you got any thoughts about how lenders should be designing their 327 00:18:52,475 --> 00:18:56,315 products or doing their marketing or managing their customers in a 328 00:18:56,315 --> 00:18:58,205 way that can be better for everyone? 329 00:18:58,980 --> 00:18:59,400 Yeah. 330 00:18:59,700 --> 00:19:04,920 And I'm sure as, you know, every loan company markets, the quote unquote 331 00:19:04,950 --> 00:19:08,340 debt consolidation on that's like one of their big offerings, it's 332 00:19:08,340 --> 00:19:12,150 a buzz term and maybe they market it, you know, and everyone sees it. 333 00:19:12,270 --> 00:19:17,580 Now the purpose of the debt consolidation loan is pay off their debt. 334 00:19:17,580 --> 00:19:17,850 Right. 335 00:19:17,880 --> 00:19:19,860 Let's just say they paid off their credit cards. 336 00:19:20,130 --> 00:19:24,060 And I'd love you to chime in here, Ken, the lender who who's 337 00:19:24,060 --> 00:19:25,770 offering that consolidation. 338 00:19:26,550 --> 00:19:29,880 Ask or somehow make the bar. 339 00:19:30,645 --> 00:19:35,355 Closed down their credit cards that they just paid off or refrain from 340 00:19:35,355 --> 00:19:39,885 using them because I've seen this firsthand where a person gets the loan, 341 00:19:40,095 --> 00:19:44,235 pays off their credit card and then proceeds to charge them back up again. 342 00:19:44,295 --> 00:19:47,625 And that's a situation where they're most likely going to default 343 00:19:47,715 --> 00:19:51,315 if they have to now pay their credit cards and this new loan. 344 00:19:51,525 --> 00:19:55,425 So you mentioned, how can they make everyone better off? 345 00:19:55,665 --> 00:19:56,805 Is there a way to. 346 00:19:57,639 --> 00:20:01,060 Oh, you have to close the cards though, or you can't charge on 347 00:20:01,060 --> 00:20:04,320 them because once again, I think, you know, everyone benefits from. 348 00:20:05,055 --> 00:20:09,165 One other thing, and I'm sure you definitely know more about this than I do. 349 00:20:09,405 --> 00:20:14,265 We're working on, it's almost dumb, a machine learning application where we 350 00:20:14,265 --> 00:20:20,415 can actually predict what the optimal debt relief option is for a user dive 351 00:20:20,415 --> 00:20:22,395 deeper into their financial profile. 352 00:20:23,070 --> 00:20:25,020 Yes, I'll speak to your first one. 353 00:20:25,020 --> 00:20:29,520 When in the very early days, we, and this was partly because logistically 354 00:20:29,699 --> 00:20:33,240 you couldn't easily do this, but we would manually take on the job 355 00:20:33,240 --> 00:20:35,040 of closing the consumer's account. 356 00:20:35,040 --> 00:20:37,470 So we would say, bring your data across to us and we will 357 00:20:37,470 --> 00:20:38,879 close your other cards for you. 358 00:20:39,270 --> 00:20:41,100 And we could get away with that. 359 00:20:41,100 --> 00:20:43,560 But what happened then is from a competition point of 360 00:20:43,560 --> 00:20:44,970 view, smooth the process. 361 00:20:45,360 --> 00:20:47,370 People would start giving up on that. 362 00:20:47,730 --> 00:20:50,669 So now we have this situation where exactly as you described. 363 00:20:51,720 --> 00:20:55,530 I will give you a debt consolidation, loan, but your credit limits. 364 00:20:55,530 --> 00:20:57,540 So sitting there and it's in the back of your mind. 365 00:20:57,750 --> 00:21:00,300 And next thing you know, you've now just caught the debt consolidation 366 00:21:00,300 --> 00:21:04,980 loan, and your credit limit used up that said, you know, can we stop? 367 00:21:05,774 --> 00:21:08,445 It wouldn't be something that needs new technology. 368 00:21:08,445 --> 00:21:10,155 It's only doesn't even need new networks. 369 00:21:10,365 --> 00:21:12,885 If we look at something like the gaming industry, you know, 370 00:21:12,885 --> 00:21:14,595 you can blacklist yourself. 371 00:21:14,804 --> 00:21:17,415 You can say, I don't want to, I don't want to Campbell. 372 00:21:17,685 --> 00:21:22,365 There is in the credit bureau world, you can freeze your credit profile, which is 373 00:21:22,365 --> 00:21:25,125 usually a defense against identity fraud. 374 00:21:25,514 --> 00:21:27,825 I'm sure that same process could be worked. 375 00:21:28,245 --> 00:21:31,814 And we just need to tweak it a little bit that when somebody volunteers. 376 00:21:32,820 --> 00:21:35,880 This is what I want, my weaknesses runaway Spain. 377 00:21:36,180 --> 00:21:37,620 And I would like to be helped. 378 00:21:38,190 --> 00:21:39,480 Would there be ways around it? 379 00:21:39,630 --> 00:21:40,500 Yes, of course. 380 00:21:40,860 --> 00:21:42,690 So, yeah, it's not perfect, but I think you're right. 381 00:21:42,690 --> 00:21:45,810 That it shouldn't be that hard for a consumer who is. 382 00:21:46,770 --> 00:21:48,120 This is the problem. 383 00:21:48,990 --> 00:21:49,410 Yeah. 384 00:21:49,440 --> 00:21:53,970 And you know, one last thought on that, where you tell people, or you make people 385 00:21:53,970 --> 00:21:58,170 close out all their credit cards that is going to impact their credit score. 386 00:21:58,170 --> 00:22:01,290 So that's why a lot of people are going to balk at that because. 387 00:22:01,995 --> 00:22:05,835 Credit score is important, but all these banks, they convey it. 388 00:22:05,835 --> 00:22:07,785 Like it's like your firstborn child. 389 00:22:07,785 --> 00:22:09,945 Like God forbid it goes down three points. 390 00:22:09,945 --> 00:22:13,575 And once again, I'm not, I don't want to downplay it, but I don't think 391 00:22:13,575 --> 00:22:17,865 it's the end all be all when it comes to having good financial health. 392 00:22:18,255 --> 00:22:22,275 I think that's more so how much cash do you have in your, in your bank account? 393 00:22:22,665 --> 00:22:24,855 How much savings investments? 394 00:22:24,885 --> 00:22:25,815 Zero debt. 395 00:22:25,845 --> 00:22:29,745 Most importantly, the last 10 years of my career were in quite a few. 396 00:22:30,495 --> 00:22:33,585 And I'm the biggest proponent of look your credit score. 397 00:22:33,615 --> 00:22:36,764 If you've missed a payment, you'll have a bad credit score. 398 00:22:36,795 --> 00:22:39,435 If you've never missed a payment, if you keep hitting your limits, 399 00:22:39,435 --> 00:22:40,695 you're kind of in the middle. 400 00:22:41,024 --> 00:22:44,264 But beyond that, it's largely irrelevant. 401 00:22:44,534 --> 00:22:48,135 The marketplace is such that if you qualify for a mortgage, 402 00:22:48,495 --> 00:22:49,365 there'll be competition. 403 00:22:49,365 --> 00:22:50,325 You'll get a good rate. 404 00:22:50,655 --> 00:22:53,705 If you want a credit card, you can get a credit. 405 00:22:54,435 --> 00:22:56,655 Does your oldest account on record help? 406 00:22:56,805 --> 00:23:00,165 That helps a little, but it's, it's not changing anything. 407 00:23:00,705 --> 00:23:06,015 The level of detail in the credit score is fantastic, but few lenders use or can 408 00:23:06,015 --> 00:23:10,845 even use a strategy that deep and we've wanted people to value the credit score. 409 00:23:11,175 --> 00:23:13,305 We want them to understand it's there, but. 410 00:23:14,035 --> 00:23:17,725 One of the problems with the way we've talked about credit scores and we've 411 00:23:17,725 --> 00:23:21,895 made them too personal mathematically, would we do the credit score? 412 00:23:22,255 --> 00:23:22,495 Right. 413 00:23:22,495 --> 00:23:24,895 We calculate it without knowing who you are. 414 00:23:25,285 --> 00:23:26,845 We strip away all those details. 415 00:23:26,845 --> 00:23:28,405 So it's not a judgment on ups. 416 00:23:29,265 --> 00:23:33,855 What we're saying is from the data we have in front of us, looking back people 417 00:23:33,855 --> 00:23:36,135 with this pattern on average, that does. 418 00:23:36,735 --> 00:23:41,355 And I think if we can get people to stop seeing it as that, what have I done wrong? 419 00:23:41,805 --> 00:23:45,855 I can be the most confident about you when I've got the most data. 420 00:23:45,915 --> 00:23:49,905 So if you have lots of credit cards, you've paid, I can see that I can be 421 00:23:49,905 --> 00:23:53,865 a little bit more confident, but if I don't have that, it's not negative. 422 00:23:53,865 --> 00:23:54,975 It's just saying I'm a little bit less. 423 00:23:54,975 --> 00:23:55,275 Sure. 424 00:23:55,815 --> 00:23:57,305 And I think there is now a time. 425 00:23:58,200 --> 00:24:01,560 Where we almost need to step back and say, okay, we've maybe gone a bit too far. 426 00:24:02,070 --> 00:24:03,840 You can ease up a bit on your credit score. 427 00:24:03,870 --> 00:24:04,740 They fluctuate. 428 00:24:05,129 --> 00:24:07,950 They change on some things that are entirely irrelevant. 429 00:24:08,760 --> 00:24:09,960 Your credit bureau score is important. 430 00:24:10,800 --> 00:24:12,180 But there's other ways to measure your risk. 431 00:24:12,210 --> 00:24:15,690 There's other ways to measure your favorite Realty and 432 00:24:16,020 --> 00:24:17,010 let's say, you're right. 433 00:24:17,040 --> 00:24:18,030 What is your savings? 434 00:24:18,270 --> 00:24:19,290 What is your net wealth? 435 00:24:19,320 --> 00:24:20,820 What is, how much do you owe people? 436 00:24:20,820 --> 00:24:23,430 How flexible are you to ride through a crisis? 437 00:24:23,700 --> 00:24:26,460 All of that is going to be more important to a lender. 438 00:24:26,460 --> 00:24:28,860 Then five points here with a, on a fire. 439 00:24:30,240 --> 00:24:30,690 And then, yeah. 440 00:24:30,690 --> 00:24:33,120 And in terms of machine learning, I think one interesting thing with 441 00:24:33,120 --> 00:24:38,129 machine learning is that it's actually not used all that much in the credit 442 00:24:38,129 --> 00:24:42,480 bureau world, because we use using very structured data that doesn't necessarily 443 00:24:42,480 --> 00:24:47,190 need machine learning, but it's been tried out in a lot more of these other 444 00:24:47,190 --> 00:24:48,990 scenarios, more like what you're saying. 445 00:24:49,379 --> 00:24:52,740 And I really think that's where it comes into its own because each 446 00:24:52,740 --> 00:24:56,790 month while it probably each week, each day, maybe different products 447 00:24:56,790 --> 00:24:57,810 are being offered by the model. 448 00:24:58,650 --> 00:25:00,660 Different situations are presenting themselves. 449 00:25:00,660 --> 00:25:04,710 And that's really where something a lot more flexible comes in to 450 00:25:04,710 --> 00:25:07,080 have a system who can do that. 451 00:25:07,110 --> 00:25:09,600 You don't have to go through feeling the state. 452 00:25:10,365 --> 00:25:14,655 Feeling the embarrassment, feeling the stress, throw it all at the machine. 453 00:25:15,195 --> 00:25:16,725 Come give me three solutions. 454 00:25:16,965 --> 00:25:18,735 Yeah, I can pick the one I went from there. 455 00:25:19,635 --> 00:25:20,715 It's a clean process. 456 00:25:20,715 --> 00:25:24,525 And I think where we can take that trauma art move away from that school 457 00:25:24,525 --> 00:25:27,675 model where, you know, you've been naughty and are you must endure are 458 00:25:27,675 --> 00:25:29,565 shouting at you until you pass back. 459 00:25:30,225 --> 00:25:31,905 I'm still in the lending industry. 460 00:25:31,905 --> 00:25:34,155 So I probably shouldn't be too aggressive on this note, but. 461 00:25:35,010 --> 00:25:36,270 We can push back a little bit. 462 00:25:36,270 --> 00:25:40,830 NCN if no fraud was committed, this was a business decision that was taken. 463 00:25:41,010 --> 00:25:44,460 It's a profitable business decision overall for the lender. 464 00:25:44,880 --> 00:25:46,980 And don't take it too personally. 465 00:25:47,640 --> 00:25:47,970 Yep. 466 00:25:48,120 --> 00:25:52,590 And, uh, a quote I heard a while back, it's not a crime to own money. 467 00:25:52,590 --> 00:25:54,000 If it was we'd all be in jail. 468 00:25:54,810 --> 00:26:00,360 'cause, you know, we all own money, your mortgage, your car, your whatever, your 469 00:26:00,360 --> 00:26:02,640 credit card, let's say your student loan. 470 00:26:02,650 --> 00:26:04,050 So we all own money. 471 00:26:04,260 --> 00:26:05,550 You're not going to jail. 472 00:26:05,550 --> 00:26:08,460 And there, there are ways to manage it and pay it off. 473 00:26:08,640 --> 00:26:12,090 Uh, well, it can, my first episode, we did a history lesson at it in the 474 00:26:12,090 --> 00:26:15,270 past, they were jails for this sort of thing, but yeah, I think that's a 475 00:26:15,270 --> 00:26:19,130 message that does need to be heard over and over, or don't go wild just because. 476 00:26:19,980 --> 00:26:22,290 Uh, contract that was entered into in good faith. 477 00:26:22,560 --> 00:26:25,800 Turns out you couldn't afford the debt, or you got out of control. 478 00:26:26,100 --> 00:26:29,459 You know, that was a risk that was taken knowingly by the bank. 479 00:26:29,490 --> 00:26:33,149 So at some point we do need to just get rid of that. 480 00:26:34,110 --> 00:26:36,090 Um, but James, thank you very much. 481 00:26:36,300 --> 00:26:42,210 If consumers or anybody really wants to learn more about how to work with debt MD, 482 00:26:42,420 --> 00:26:47,070 what's the best place for them to contact you or to learn more about your business? 483 00:26:47,220 --> 00:26:54,180 Our website it's www dot debt, M D D E B T M d.com. 484 00:26:54,840 --> 00:26:59,340 We have a great blog with a lot of free resources, calculators. 485 00:26:59,640 --> 00:27:03,300 And if you are somebody who isn't sure what to do with their debt, 486 00:27:03,420 --> 00:27:05,460 you know, feel free to take a look. 487 00:27:05,460 --> 00:27:07,860 And, uh, Brandon, thank you for having me. 488 00:27:07,860 --> 00:27:09,690 I thought this was a great discussion. 489 00:27:10,370 --> 00:27:10,610 Yeah. 490 00:27:10,610 --> 00:27:12,380 And hopefully we can do it again. 491 00:27:12,620 --> 00:27:13,400 Yeah, definitely. 492 00:27:14,030 --> 00:27:15,410 And thank you all for listening. 493 00:27:15,680 --> 00:27:19,100 If you haven't done so already, like share and subscribe to the show, 494 00:27:19,610 --> 00:27:23,090 how to lend money to strangers is written, hosted, and edited by myself. 495 00:27:23,120 --> 00:27:26,000 Brendan lick range, the theme tune and show music is by. 496 00:27:27,074 --> 00:27:30,705 And you can find show notes, written transcripts, more in depth articles and 497 00:27:30,705 --> 00:27:37,514 details on how to book me for speaking engagements@wwwdotourtolendmoneytostrangers.show. 498 00:27:38,175 --> 00:27:38,985 I'll see you again. 499 00:27:39,254 --> 00:27:40,004 Next Thursday. 500 00:28:04,375 --> 00:28:07,435 it's me again, just in case you've had your full of lending talk. 501 00:28:07,825 --> 00:28:10,945 Did you know that I've also published two pulpy action, adventure, thriller. 502 00:28:12,135 --> 00:28:16,485 Dry and butterfly hill are both available as e-books paperbacks and audio books 503 00:28:16,515 --> 00:28:18,735 from Amazon and other online retailers. 504 00:28:19,365 --> 00:28:21,915 They're not Shakespeare, but they're not expensive either. 505 00:28:22,275 --> 00:28:26,955 And Ford Clarion reviews compare, drop to Clive Casper turning Raiders of the lost 506 00:28:26,955 --> 00:28:29,535 Ark into a shoot them up full disclosure. 507 00:28:29,835 --> 00:28:31,295 That was in a three-star reviews. 508 00:28:31,325 --> 00:28:32,555 I'm not sure it was meant to be. 509 00:28:33,480 --> 00:28:36,810 But I think you get the picture and Hey, I have to move soon. 510 00:28:36,810 --> 00:28:41,400 So if you'd like a free copy, drop me an email on Brendan at how to 511 00:28:41,400 --> 00:28:45,210 lend money to strangers talk show, and I'll send one over to save 512 00:28:45,210 --> 00:28:47,040 myself from liking it around again. 45727

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