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These are the user uploaded subtitles that are being translated: 1 00:00:00,000 --> 00:00:03,000 In these informal and unregulated markets, people have been bitten so 2 00:00:03,000 --> 00:00:06,720 many times by whether it's unfair charges or whether it's refunds that 3 00:00:06,720 --> 00:00:10,380 don't get paid arts or just hidden fees and these sorts of things. 4 00:00:10,440 --> 00:00:14,640 So it's, it takes a while for the clients to come and understand our product. 5 00:00:14,670 --> 00:00:19,710 But once I do people really have a loyalty to us because of us favoring 6 00:00:19,710 --> 00:00:23,520 them in our decisioning and designing the process to favor the client and it works. 7 00:00:29,865 --> 00:00:34,335 I have previously talked about how the first wave of African FinTech was 8 00:00:34,455 --> 00:00:39,375 largely about finding innovative ways to leverage feature of our networks 9 00:00:39,435 --> 00:00:41,535 to provide very basic banking service. 10 00:00:42,269 --> 00:00:46,769 The services were locally impactful, but they largely solve problems 11 00:00:46,769 --> 00:00:50,100 inherent to developing markets problems of infrastructure. 12 00:00:50,460 --> 00:00:55,320 Now this more recent wave of African FinTech is in many ways more exciting 13 00:00:55,680 --> 00:00:57,360 because it leverages smartphones. 14 00:00:57,390 --> 00:01:00,810 It can provide richer services and those services are more 15 00:01:00,810 --> 00:01:02,879 exportable to the rest of the world. 16 00:01:04,004 --> 00:01:08,205 There is a risk that we can create a digital divide of sorts, where 17 00:01:08,205 --> 00:01:12,735 all the innovation moves to channels that leave less sophisticated, less 18 00:01:12,735 --> 00:01:16,575 connected consumers behind, which is why I love the branch to digital 19 00:01:16,575 --> 00:01:21,585 strategy pursued by unified credit whose CEO Makilah Ru is with me today. 20 00:01:21,705 --> 00:01:24,615 Plus they actually target profitability, which can feel 21 00:01:24,615 --> 00:01:26,235 almost subversive these days. 22 00:01:26,415 --> 00:01:29,475 Welcome to how to lend money to strangers with Brendan. 23 00:01:40,920 --> 00:01:42,210 Okay, welcome to the show. 24 00:01:42,390 --> 00:01:45,539 It's a pleasure to be chatting to you again, after all these years. 25 00:01:45,750 --> 00:01:49,620 I think the first time we met, I was sitting with your brother in a 26 00:01:49,620 --> 00:01:53,580 land cruiser, floorboard deep in the river, watching you as the younger 27 00:01:53,580 --> 00:01:57,840 brother, kid volunteered to swim under what we could only guess I think was 28 00:01:57,840 --> 00:01:59,940 the lowest strand of an electric. 29 00:02:00,750 --> 00:02:04,500 So you could run back to camp and fetch the car with the working battery. 30 00:02:04,740 --> 00:02:06,750 Since those cave free days, we've all grown up a bit. 31 00:02:06,760 --> 00:02:11,130 You, you went on to study, spend some years in private equity, and now all 32 00:02:11,130 --> 00:02:14,130 sitting as group CEO of unified credit. 33 00:02:14,190 --> 00:02:18,900 Before we talk about unified credits and what you're doing to make smarter, easier, 34 00:02:18,900 --> 00:02:21,450 and foster loans in Sub-Saharan Africa. 35 00:02:22,475 --> 00:02:25,144 Spend a bit of time expanding on that background. 36 00:02:25,265 --> 00:02:29,465 And in particular, what you saw that inspired the unified business. 37 00:02:29,674 --> 00:02:30,155 Thank you. 38 00:02:30,364 --> 00:02:34,234 So it was, uh, did turn out to be the bottom rung of the electric fence. 39 00:02:34,234 --> 00:02:37,265 And so I had a bit more time to work on my career. 40 00:02:37,265 --> 00:02:41,795 After that the thought of unify was really opportunistic. 41 00:02:42,155 --> 00:02:44,825 I would love to say it was a vision, but it was more of 42 00:02:45,215 --> 00:02:46,144 an opportunity that came up. 43 00:02:46,790 --> 00:02:50,330 I was working for a joint venture between a south African investment 44 00:02:50,330 --> 00:02:55,730 firm and a east Africa based consumer goods and soft commodities trader 45 00:02:55,820 --> 00:03:02,390 trying to bald up a consumer facing private equity fund, which started okay. 46 00:03:02,390 --> 00:03:05,090 But then turned out quite badly for several reasons. 47 00:03:05,330 --> 00:03:09,050 And it never really got going one or two investments became problematic 48 00:03:09,050 --> 00:03:11,720 and then the investment appetite and the money just dried up. 49 00:03:11,960 --> 00:03:15,680 And I was in a space in my career where I had. 50 00:03:16,450 --> 00:03:18,070 Tried very hard to be an entrepreneur. 51 00:03:18,280 --> 00:03:19,780 I'd had a few false starts. 52 00:03:19,780 --> 00:03:24,250 I was living in Joburg, loving, Joburg, but also quite keen to explore. 53 00:03:24,460 --> 00:03:28,960 And I was very much on the lookout when a email came across my desk 54 00:03:29,260 --> 00:03:33,940 from an entrepreneur in Zambia called Charles Bernard and XL Africa. 55 00:03:34,120 --> 00:03:37,240 And he just told me that his business was up for sale. 56 00:03:37,240 --> 00:03:41,500 It was called unity finance, which is the root for the name unified. 57 00:03:42,210 --> 00:03:45,120 And there's a lot of things that just got me excited about the business. 58 00:03:45,420 --> 00:03:49,980 So I did eventually go to visit him, had a look around and eventually I 59 00:03:49,980 --> 00:03:51,720 took the opportunity to my employer. 60 00:03:51,720 --> 00:03:52,590 They weren't interested. 61 00:03:52,830 --> 00:03:58,470 So I got some friends, fools, family money together, and bought the company 62 00:03:58,470 --> 00:04:00,480 myself, moved up to Zambia and. 63 00:04:01,200 --> 00:04:04,320 Ran unity finance from late 2014. 64 00:04:04,560 --> 00:04:06,390 What was interesting to me? 65 00:04:06,450 --> 00:04:11,670 Uh it's for several reasons, I guess, uh, having been in the consumer 66 00:04:11,670 --> 00:04:15,390 goods, food ever processing industry prior to that, none of the assets 67 00:04:15,390 --> 00:04:20,550 that I had looked at were quite black, old, highly sweated assets. 68 00:04:20,810 --> 00:04:24,930 It'll be like a, a Swabian blonde or amaze mole or. 69 00:04:25,669 --> 00:04:31,099 Ship packing factory acids, decades, all that, uh, going through a generational 70 00:04:31,099 --> 00:04:32,630 change and the guys are trying to sell. 71 00:04:32,810 --> 00:04:37,820 Whereas unity finance was fresh, young, new the staff. 72 00:04:37,880 --> 00:04:41,479 They really believe in the brand and in the business and the clients really 73 00:04:41,479 --> 00:04:42,650 believed in the brand and the business. 74 00:04:43,070 --> 00:04:44,090 So it got me very excited. 75 00:04:44,340 --> 00:04:48,620 I like the traditional branch based lending that unity finance had at the time 76 00:04:48,620 --> 00:04:52,159 and that we still have, and it was just a really cool and exciting management. 77 00:04:52,680 --> 00:04:55,770 And crucially profitable at the time high margins. 78 00:04:56,040 --> 00:05:00,000 And you could see a lot of possible improvements in the business. 79 00:05:00,010 --> 00:05:03,690 It was being run well operationally, but from a knowledge economy side, 80 00:05:03,720 --> 00:05:05,730 not a particularly sophisticated. 81 00:05:05,730 --> 00:05:07,230 So I was excited. 82 00:05:07,290 --> 00:05:09,990 We do a quite a long and stressful due diligence. 83 00:05:10,380 --> 00:05:13,950 And eventually in April, 2015 made the transaction to invest in 84 00:05:13,950 --> 00:05:15,510 unity finance, which later became. 85 00:05:16,745 --> 00:05:22,355 So just to answer your question, I had an interest in Sub-Saharan Africa and 86 00:05:22,355 --> 00:05:25,895 interest on entrepreneurship, but the business model itself was more of an 87 00:05:25,895 --> 00:05:30,215 accident than a, I guess then the business routes could be say to the, in Zambia, 88 00:05:30,305 --> 00:05:35,075 your roots, obviously in South Africa, but you're also in Uganda and Tanzania. 89 00:05:35,075 --> 00:05:40,325 So already a continent wide business, but in markets and obviously diverse 90 00:05:40,325 --> 00:05:43,775 and have their own challenges and, you know, markets with. 91 00:05:44,455 --> 00:05:48,235 Traditionally people would be a bit wary of entering they're relatively poor 92 00:05:48,235 --> 00:05:52,255 economies, relatively underdeveloped, quite often disperse populations. 93 00:05:52,315 --> 00:05:56,275 And you'd, you could see that opportunity in there despite those challenges. 94 00:05:56,275 --> 00:05:59,965 But before we talk about how you've done that, if you think about those 95 00:05:59,965 --> 00:06:02,995 full countries and how you see them now that you've, you know, 96 00:06:02,995 --> 00:06:04,225 you've got experience in them. 97 00:06:04,435 --> 00:06:07,885 So South Africa is definitely an outlier amongst that. 98 00:06:08,630 --> 00:06:12,680 It's a lot more sophisticated in terms of financial infrastructure. 99 00:06:13,039 --> 00:06:16,550 There's much sharper competition and lot more difficult to break 100 00:06:16,550 --> 00:06:18,409 into, but it's a lot bigger as well. 101 00:06:18,590 --> 00:06:21,890 So I'll say South Africa side for now focus on the other three 102 00:06:21,890 --> 00:06:26,780 and then also focus on Kenya, which we are due to open in 2022. 103 00:06:27,080 --> 00:06:28,190 There are many similarities. 104 00:06:28,550 --> 00:06:29,599 They're all English speaking. 105 00:06:29,780 --> 00:06:33,200 Tanzania is a bit hybrid with Swahili, but they're all based on English law. 106 00:06:33,320 --> 00:06:36,760 The environments are data poor and it's something that we battled with. 107 00:06:37,370 --> 00:06:40,460 There's very little information on people's credit record, usually almost 108 00:06:40,460 --> 00:06:44,960 nothing, but there's also poor information on things like identity, verification, 109 00:06:44,960 --> 00:06:49,219 biometrics, et cetera, employment information, employee your information. 110 00:06:49,460 --> 00:06:52,460 So your data richness and your data validity is a real. 111 00:06:53,115 --> 00:06:57,095 And something which we've had to invest in quite heavily to solve this. 112 00:06:57,095 --> 00:07:00,825 The second similarity is that all of them are to a large extent shielded 113 00:07:00,825 --> 00:07:04,635 from international competition by very tough, low cooperating environments, 114 00:07:05,025 --> 00:07:11,325 not many international lenders and not many fintechs have appetite to figure 115 00:07:11,325 --> 00:07:13,365 out and invest in local operations. 116 00:07:13,605 --> 00:07:16,485 To the extent that is necessary to make a success in these countries. 117 00:07:16,575 --> 00:07:18,585 I wouldn't say uncompetitive, but certainly. 118 00:07:19,865 --> 00:07:24,755 Competitive than South Africa or maybe other markets that you often talk about. 119 00:07:24,965 --> 00:07:27,005 And that just means that when you get it right, the margins 120 00:07:27,005 --> 00:07:28,565 can be quite high margins. 121 00:07:28,895 --> 00:07:32,974 And then another similarity is that of the former employment governments 122 00:07:32,974 --> 00:07:35,284 by far the largest employer. 123 00:07:35,555 --> 00:07:40,205 So governments very big in our lives, not as a direct counter party, 124 00:07:40,205 --> 00:07:42,065 but as an employer of our clients. 125 00:07:42,275 --> 00:07:42,695 Yes. 126 00:07:42,695 --> 00:07:47,735 I remember when I was landing in Kenya, the teachers' unions, the military. 127 00:07:48,390 --> 00:07:51,270 You know, those employer groups of the government, sustainable 128 00:07:51,270 --> 00:07:53,310 employer, they get paid on time. 129 00:07:53,430 --> 00:07:55,320 Big difference in risk between that. 130 00:07:55,349 --> 00:07:57,539 And somebody followed is formerly employed. 131 00:07:57,690 --> 00:08:01,200 Now, if I look at your, your tagline, you talk about taking 132 00:08:01,200 --> 00:08:05,609 smarter, easier, and faster unsecured lending solutions to underserved 133 00:08:05,640 --> 00:08:07,650 markets across Sub-Saharan Africa. 134 00:08:07,830 --> 00:08:10,590 You've obviously already mentioned some of the challenges in terms of 135 00:08:10,620 --> 00:08:12,539 sort of hard infrastructure and data. 136 00:08:12,570 --> 00:08:15,120 But if I look at that tag line, I assume that you're leaning 137 00:08:15,120 --> 00:08:16,409 pretty heavily on the smarter. 138 00:08:17,054 --> 00:08:19,094 That you're using tech container. 139 00:08:19,125 --> 00:08:22,635 You've already spoken a little bit about investing in that, but I assume 140 00:08:22,635 --> 00:08:25,994 that that's where you lean so that you're able to do it fast and easy. 141 00:08:26,114 --> 00:08:28,905 How have you made it possible to enter these markets? 142 00:08:28,905 --> 00:08:30,375 Whereas you're saying it's a little bit challenging. 143 00:08:30,585 --> 00:08:30,765 Yeah. 144 00:08:30,765 --> 00:08:33,944 I don't think there's any magic in it to be very honest for our model where it's 145 00:08:33,944 --> 00:08:37,184 a combination of branches and online channels, you need to have the patient. 146 00:08:37,725 --> 00:08:42,794 Of writing out a branch network and navigating the operational issues that 147 00:08:42,794 --> 00:08:49,395 come with high employment and with cash in transit and landlords vehicles, just 148 00:08:49,395 --> 00:08:50,895 the physical infrastructure on the ground. 149 00:08:51,075 --> 00:08:52,515 That's not really anything. 150 00:08:53,075 --> 00:08:54,965 Too smart, but it's not easy. 151 00:08:55,985 --> 00:08:58,835 It's hard work just to keep things together and build good teams. 152 00:08:59,135 --> 00:09:03,005 Certainly given that we've largely achieved that the next 153 00:09:03,005 --> 00:09:05,765 step for us is really to make the lending smarter, as you say. 154 00:09:05,885 --> 00:09:07,715 And that is the current chapter that we're in. 155 00:09:07,865 --> 00:09:09,575 Again, I'm quite a traditionalist. 156 00:09:10,495 --> 00:09:14,245 Our data analytics are based on machine learning or AI. 157 00:09:14,365 --> 00:09:17,065 We just make sure that our basics are done correctly. 158 00:09:17,065 --> 00:09:22,195 So in a data poor environment, we make sure that our own data 159 00:09:22,315 --> 00:09:27,775 are very well verified, stored in structures that are easy to access 160 00:09:27,835 --> 00:09:29,665 and very accessible to the users. 161 00:09:29,725 --> 00:09:33,895 So even though we don't get many external sources of data, we use 162 00:09:33,895 --> 00:09:36,055 our internal sources of data three. 163 00:09:36,055 --> 00:09:39,345 Well out of that, we've been able to bold scorecards that I believe. 164 00:09:39,890 --> 00:09:44,300 Better than most of our competitors, usually only behavior score cards. 165 00:09:44,300 --> 00:09:48,260 So in all the new countries where we operate are first time, clients 166 00:09:48,260 --> 00:09:49,760 are treated very similarly. 167 00:09:49,819 --> 00:09:54,229 It's very difficult to get first time information on clients to make 168 00:09:54,229 --> 00:09:58,790 a credit decision, but then we follow sort of a loan growth strategy where 169 00:09:58,910 --> 00:10:00,109 we start with a short short-term. 170 00:10:00,645 --> 00:10:01,725 Low value loan. 171 00:10:02,115 --> 00:10:04,185 And they very early on use information. 172 00:10:04,235 --> 00:10:08,415 We get back from the person's repayment behavior to increase limits and push term. 173 00:10:08,625 --> 00:10:12,375 And I think I'll be able to score cards, even though they are not based on any 174 00:10:12,375 --> 00:10:16,995 sort of new science and new magic are quite revolutionary in the markets where. 175 00:10:17,745 --> 00:10:18,375 Apply them. 176 00:10:18,585 --> 00:10:24,285 And we've got enough confidence to make pretty strong credit decisions on them. 177 00:10:24,375 --> 00:10:28,785 So the difference in limits between the opposite ends of our score card 178 00:10:28,785 --> 00:10:33,225 and the difference in pricing are vast, which is a big part of our strategy. 179 00:10:33,405 --> 00:10:33,645 Yeah. 180 00:10:33,645 --> 00:10:35,265 And it's as important part of it. 181 00:10:35,265 --> 00:10:38,745 And it's really actually great to hear because often maybe they've got 182 00:10:38,745 --> 00:10:41,895 a consultant in and they've built themselves a scorecard and that 183 00:10:41,895 --> 00:10:44,325 scorecard can create 50 customers. 184 00:10:45,030 --> 00:10:47,820 But then they still give everybody the same limit in the same price. 185 00:10:47,820 --> 00:10:51,000 I just haven't thought through what to do with their data. 186 00:10:51,180 --> 00:10:54,510 And that's really the most important part where you might get caught 187 00:10:54,510 --> 00:10:57,180 up in the slight difference in the genie or something and saying, 188 00:10:57,180 --> 00:10:59,850 well, you're not using any of the predictiveness that you're chasing. 189 00:11:00,400 --> 00:11:02,890 And also, I see you talked about right upfront, the 190 00:11:02,890 --> 00:11:04,360 business was already profitable. 191 00:11:04,360 --> 00:11:08,260 And I think that can get lost in a lot of the FinTech we talk about today that chase 192 00:11:08,260 --> 00:11:12,730 has growth, Chase's technical innovation and hopes one day that they will, 193 00:11:12,730 --> 00:11:14,380 uh, make some profit in the long run. 194 00:11:14,650 --> 00:11:17,230 You're showing that a thorough thinking through of the 195 00:11:17,230 --> 00:11:18,970 business is often better than. 196 00:11:19,660 --> 00:11:23,050 Implementing the latest technical tools for sure. 197 00:11:23,110 --> 00:11:26,350 So we've always trashed profitability throughout, and we've only missed 198 00:11:26,350 --> 00:11:30,430 one quarter in 2015 when things were really bad in Zambia, but I believe 199 00:11:30,430 --> 00:11:33,730 in balancing the books and, and, and using your, your income statement as a 200 00:11:33,730 --> 00:11:37,030 guide to where you should go, just to quit, maybe add onto the innovations. 201 00:11:37,030 --> 00:11:40,840 So I spoke about data and it's big for us, but the system and the 202 00:11:40,840 --> 00:11:43,240 technology side is equally as big. 203 00:11:43,240 --> 00:11:43,570 If not better. 204 00:11:44,140 --> 00:11:47,080 We've insourced our loans management system, which is a big challenge, 205 00:11:47,110 --> 00:11:48,370 but a very good decision for us. 206 00:11:48,400 --> 00:11:51,760 We centralize the costs between the different operating entities, which 207 00:11:51,760 --> 00:11:54,130 certainly takes away some of the pain. 208 00:11:54,250 --> 00:11:57,880 And we've made a lot of effort to integrate starkly into the large 209 00:11:57,880 --> 00:12:02,530 mobile network operators that are across Africa, AMT and air towns. 210 00:12:03,275 --> 00:12:09,305 To be able to do real-time integrated mobile money collections and payments that 211 00:12:09,305 --> 00:12:10,775 gives our clients massive convenience. 212 00:12:10,775 --> 00:12:14,015 So even though we have a new cloud requirements to present yourself to a 213 00:12:14,015 --> 00:12:18,245 branch and to enroll your fingerprints and take your photo, once new clients are 214 00:12:18,245 --> 00:12:23,405 enrolled, the majority of people actually transect subsequently through a USD 215 00:12:23,405 --> 00:12:25,175 interaction that's fully integrated with. 216 00:12:25,949 --> 00:12:28,290 Cashless paperless contactless. 217 00:12:28,589 --> 00:12:30,599 So you could sort of see the theme here. 218 00:12:30,599 --> 00:12:35,040 It's a sort of traditional starts and then very quickly move people into a online 219 00:12:35,040 --> 00:12:40,170 and tech interface and a channel with kind of limits growing and prices coming down. 220 00:12:40,709 --> 00:12:40,979 Yeah. 221 00:12:40,979 --> 00:12:44,760 So I guess you're saying we're not going to just build the modern environment and 222 00:12:44,760 --> 00:12:48,900 hope some people filter through we're going to provide a routine so people 223 00:12:48,900 --> 00:12:50,640 can come in and we will validate them. 224 00:12:50,640 --> 00:12:51,390 It'll be secure. 225 00:12:51,420 --> 00:12:52,140 There'll be a bronch. 226 00:12:52,140 --> 00:12:52,439 If any. 227 00:12:53,265 --> 00:12:58,815 But once everything's digitized, we've put the data to offer a fully mobile 228 00:12:58,815 --> 00:13:00,525 solution, a fully online solution. 229 00:13:00,645 --> 00:13:01,875 And we can do that as well. 230 00:13:02,355 --> 00:13:06,225 And I think that's quite an important step in a developing 231 00:13:06,225 --> 00:13:08,205 market with, as pops need to create. 232 00:13:08,205 --> 00:13:11,535 Otherwise people get stuck in a Bronx neighborhood cause they need a bronch, 233 00:13:11,625 --> 00:13:17,505 but the bronch thing is the only option you're listening to, how to lend money 234 00:13:17,505 --> 00:13:19,215 to strangers with Brendan Legree. 235 00:13:19,964 --> 00:13:22,665 If you're enjoying it now is a great time to hit that little 236 00:13:22,665 --> 00:13:24,045 plus button to subscribe. 237 00:13:24,645 --> 00:13:25,454 Let's get back to the. 238 00:13:26,355 --> 00:13:30,015 You also talked about the identity earlier and there as well. 239 00:13:30,435 --> 00:13:33,975 You know, one of the big challenges that comes up often when you talk about 240 00:13:34,215 --> 00:13:39,615 lending in developed markets, is this lack of approvable it entity where traces 241 00:13:39,615 --> 00:13:41,715 don't always exist in any meaningful way. 242 00:13:42,105 --> 00:13:44,235 Even government records can be questionable. 243 00:13:44,445 --> 00:13:47,025 It sounds like you've also invested quite a lot in getting those 244 00:13:47,025 --> 00:13:51,045 biometrics on board and being able to do a solid, genuine checkoff. 245 00:13:51,835 --> 00:13:56,095 Versus the old school and name and surname and date are very, very important. 246 00:13:56,335 --> 00:14:00,115 When you think about the customers you're serving and what they're 247 00:14:00,115 --> 00:14:04,615 getting from their relationship with unify, what would it have looked like 248 00:14:04,615 --> 00:14:06,415 if we talk about say 10 years ago? 249 00:14:06,835 --> 00:14:08,455 Well, those sort of customers were looking for. 250 00:14:09,145 --> 00:14:11,185 What would their experience have been like? 251 00:14:11,455 --> 00:14:13,945 So I think there's quite a difference between government and private 252 00:14:13,945 --> 00:14:19,195 sector clients, private sector, typically collateralized lending. 253 00:14:19,495 --> 00:14:23,245 So either with a bank or a non-bank lender, a loan that's backed by 254 00:14:23,275 --> 00:14:26,695 tangible security, maybe landed property, maybe a vehicle through book 255 00:14:26,695 --> 00:14:30,445 finance, maybe if you're lucky, some sort of business stock or inventory 256 00:14:30,535 --> 00:14:31,375 or something along those lines. 257 00:14:32,060 --> 00:14:34,070 Government workers are slightly better served. 258 00:14:34,280 --> 00:14:37,670 10, 15 years ago saw the emergence of payroll deduction 259 00:14:37,670 --> 00:14:39,230 lending in south Southern Africa. 260 00:14:39,380 --> 00:14:41,090 I'm sure that's a story that you're familiar with. 261 00:14:41,240 --> 00:14:45,620 The way I see it is that there is a shift away from payroll deduction lending. 262 00:14:45,620 --> 00:14:50,270 There's a customer fatigue as well as a kind of a political shift away from it. 263 00:14:50,270 --> 00:14:53,990 So I see these markets moving to our secure lending over the next gen. 264 00:14:54,569 --> 00:14:55,260 On payroll. 265 00:14:55,260 --> 00:14:59,699 I think the differences, perhaps also the valuing of privacy. 266 00:14:59,969 --> 00:15:02,729 So I used to work for a bank and we did payroll deduction 267 00:15:02,729 --> 00:15:04,800 lending for government employees. 268 00:15:04,829 --> 00:15:08,130 As I say, we would make a deal with something like the teacher's union, 269 00:15:08,130 --> 00:15:11,849 where you've got all the government teachers in the country and they would 270 00:15:11,849 --> 00:15:13,319 get a big discount on the interest. 271 00:15:14,145 --> 00:15:18,435 But anybody who went into arrears became a disciplinary issue at work. 272 00:15:18,525 --> 00:15:20,355 This course it's about an even worse history. 273 00:15:20,355 --> 00:15:23,655 In some places we're both sort of familiar with some of the bad history of 274 00:15:23,655 --> 00:15:27,135 South Africa and the mines where people would end up with negative salaries. 275 00:15:27,165 --> 00:15:30,435 But even when it was well controlled with affordability checks, there's 276 00:15:30,435 --> 00:15:34,125 still a bit of a uneasy relationship between your, you know, your age. 277 00:15:34,920 --> 00:15:37,200 Yeah, phoning you up and talking to you about your day. 278 00:15:37,440 --> 00:15:41,010 So as soon as you've got another way to check that credit risk, another 279 00:15:41,010 --> 00:15:44,910 way to build those relationships, then I can see that people would start to 280 00:15:44,910 --> 00:15:48,480 say, yeah, I'm not so comfortable that my boss will also be looking over my 281 00:15:48,480 --> 00:15:54,450 shoulder at my finances and, you know, Typically don't have a great reputation, 282 00:15:54,450 --> 00:15:55,320 but some of them are really good. 283 00:15:55,500 --> 00:15:58,560 Some of them aren't, but money lending office is one of the 284 00:15:58,560 --> 00:16:00,300 oldest occupations in the world. 285 00:16:00,300 --> 00:16:03,720 So everywhere you go, there are informal channels through which people can borrow. 286 00:16:03,720 --> 00:16:05,670 So people do have options, definitely. 287 00:16:05,700 --> 00:16:08,250 But the second part of your question was about the experience. 288 00:16:08,250 --> 00:16:10,530 So I do think we've changed the experience. 289 00:16:10,740 --> 00:16:15,510 We've got a very big focus on instance so that the credit decision is made at the. 290 00:16:16,114 --> 00:16:17,824 Of contact with the clients. 291 00:16:17,824 --> 00:16:22,084 So there is a decentralized grid committee or a centralized decision-making body 292 00:16:22,084 --> 00:16:24,094 that need to review line applications. 293 00:16:24,484 --> 00:16:28,324 We do have some centralized checks that get done, but they get done 294 00:16:28,324 --> 00:16:31,535 while the person's in the brush, but that really transforms it for 295 00:16:31,594 --> 00:16:35,015 clients who enjoy the fast experience. 296 00:16:35,045 --> 00:16:39,395 I think banks particularly have a really bad reputation and even payroll lenders. 297 00:16:40,395 --> 00:16:43,455 Oh actually originated not by the company themselves, but by loan 298 00:16:43,455 --> 00:16:45,465 agents, sort of suitcase bankers. 299 00:16:45,525 --> 00:16:48,765 And those guys can often sit on a physical piece of paper that's 300 00:16:48,765 --> 00:16:50,295 been written on as an application. 301 00:16:50,295 --> 00:16:53,085 They can sit around for a couple of days or even a week before 302 00:16:53,085 --> 00:16:57,075 it's eventually handed over to the lender for the application to start. 303 00:16:57,075 --> 00:16:59,505 So, you know, clients don't like that at all. 304 00:16:59,595 --> 00:17:02,445 And then I think throughout the client journey, we really invested a lot in 305 00:17:02,445 --> 00:17:07,035 making it slick and smooth and just ruling in the client's favorite every time. 306 00:17:07,750 --> 00:17:11,980 In these informal and unregulated markets, people have been bitten so many times by 307 00:17:12,160 --> 00:17:16,089 whether it's unfair charges or whether it's refunds that don't get paid ads or 308 00:17:16,180 --> 00:17:18,280 just hidden fees and these sort of things. 309 00:17:18,310 --> 00:17:22,569 So it takes a while for the clients to come and understand our product. 310 00:17:22,599 --> 00:17:24,730 But once I do people really have a loyalty to. 311 00:17:25,325 --> 00:17:29,855 Because of us favoring them in our decisioning and designing the process 312 00:17:29,855 --> 00:17:31,475 to favor the client and it works. 313 00:17:31,895 --> 00:17:32,135 Yeah. 314 00:17:32,135 --> 00:17:36,835 And as you said, there is a sort of a tricky history in micro-lending or 315 00:17:37,115 --> 00:17:41,165 we've heard of really good stories like Grameen bank in Bangladesh as well. 316 00:17:41,775 --> 00:17:45,405 Predominantly the headlines will be some of the more questionable practices. 317 00:17:45,555 --> 00:17:48,555 I was going to ask you about this, but you've already brought it up. 318 00:17:48,645 --> 00:17:49,005 Clearly. 319 00:17:49,005 --> 00:17:53,265 You've built, sent a business around loyalty around the customer, 320 00:17:53,685 --> 00:17:57,195 and it's good to hear that, you know, first and foremost, this 321 00:17:57,195 --> 00:17:59,535 is customer first, but also. 322 00:18:00,290 --> 00:18:04,790 In a way that is just as a sustainable business, it needs customers coming back. 323 00:18:04,910 --> 00:18:09,110 You need to have that same self communication and loyalty with them. 324 00:18:09,380 --> 00:18:09,530 Yeah. 325 00:18:09,530 --> 00:18:12,350 It's a tricky situation that we have with our clients, right? 326 00:18:12,350 --> 00:18:16,130 Because that's, our clients are extremely grateful for business. 327 00:18:16,160 --> 00:18:19,460 Um, and then there is a proportion of our clients for whom it doesn't 328 00:18:19,460 --> 00:18:23,870 work out and, you know, maybe feel very overburdened by our products. 329 00:18:24,080 --> 00:18:24,920 You know, it's pretty simple. 330 00:18:24,920 --> 00:18:28,400 If that proportion is too large, then we got a business. 331 00:18:28,400 --> 00:18:28,980 Cause we don't make. 332 00:18:29,620 --> 00:18:31,420 If our collections are I bad dates? 333 00:18:32,445 --> 00:18:35,775 There's a couple of basics that you could do, that there are unethical 334 00:18:35,805 --> 00:18:37,275 collection practices out there. 335 00:18:37,575 --> 00:18:41,355 I always feel that your collection intervention needs to be proportional to 336 00:18:41,535 --> 00:18:43,695 the person's debt and what they owe you. 337 00:18:44,055 --> 00:18:48,075 So it's pretty easy to avoid those things by the way, our entire 338 00:18:48,075 --> 00:18:49,815 collections team, all females. 339 00:18:49,815 --> 00:18:51,975 So there's very little masculine going on. 340 00:18:51,975 --> 00:18:55,605 There's a lot of verbal persuasion going on, but to keep the. 341 00:18:56,585 --> 00:19:00,155 And the collections interaction is also quite important to me. 342 00:19:00,155 --> 00:19:03,485 And we put these core values of ours and our core centers, and we actually 343 00:19:03,695 --> 00:19:06,605 do quality audio quality checks and our call centers to make sure that 344 00:19:06,905 --> 00:19:09,845 people are persuasive, but they're not disrespectful towards clients. 345 00:19:09,875 --> 00:19:13,895 And then people will get disciplined for crossing the line towards clients, even in 346 00:19:13,895 --> 00:19:18,185 the, in the late stage collection space, which is where you could most easily lose 347 00:19:18,185 --> 00:19:20,015 your kind of respect for your clients. 348 00:19:20,015 --> 00:19:20,255 Right? 349 00:19:20,255 --> 00:19:22,325 Because that relationship has already broken. 350 00:19:23,030 --> 00:19:25,610 And then the land value and the interest rate is difficult, right? 351 00:19:25,610 --> 00:19:26,750 I mean, we are very expensive. 352 00:19:26,750 --> 00:19:28,250 We are very small values. 353 00:19:28,340 --> 00:19:32,030 We put a lot of thinking into the amount that we land clients over 354 00:19:32,030 --> 00:19:35,179 committing the client is a very big danger from a business perspective, 355 00:19:35,179 --> 00:19:37,189 but also from the client's perspective. 356 00:19:37,189 --> 00:19:39,470 So we put thinking into our scorecard. 357 00:19:39,985 --> 00:19:41,365 We AB test these sort of things. 358 00:19:41,365 --> 00:19:44,245 We serve our clients who do focus groups to try and figure out what's 359 00:19:44,245 --> 00:19:46,585 the best format to limit our plants to. 360 00:19:46,764 --> 00:19:47,485 And it's interesting. 361 00:19:47,485 --> 00:19:50,605 The results of it's where particularly in Zambia, we've both the most 362 00:19:50,845 --> 00:19:56,034 impressive business, the most settled business, our best clients are at 363 00:19:56,034 --> 00:19:57,235 interest rates that are well below. 364 00:19:57,875 --> 00:20:01,865 The regulated caps in South Africa in Zambia. 365 00:20:01,865 --> 00:20:02,645 It's unregulated. 366 00:20:02,794 --> 00:20:06,575 Not because anyone told us we had to, but because it makes good business 367 00:20:06,575 --> 00:20:09,784 sense, I'm a believer of the markets and that the best guy will win. 368 00:20:09,995 --> 00:20:13,504 But I know that the industry gets some bad headlines. 369 00:20:13,504 --> 00:20:13,925 No doubt. 370 00:20:14,345 --> 00:20:14,615 Yeah. 371 00:20:14,615 --> 00:20:19,054 Well, and I've always thought that the only time that that's the problem is. 372 00:20:19,920 --> 00:20:24,060 When you're making the customer pay for your unwillingness or 373 00:20:24,060 --> 00:20:26,970 inability to properly measure risk where you're just saying, okay, 374 00:20:26,970 --> 00:20:29,129 everybody's going to pay 70%. 375 00:20:29,310 --> 00:20:30,270 The market will parents. 376 00:20:30,270 --> 00:20:31,080 I'm just going to do it. 377 00:20:31,080 --> 00:20:35,010 But Katie, with a model that is built on like that low in grower approach, 378 00:20:35,010 --> 00:20:38,490 where you're using all your internal data with scorecards on behaviors. 379 00:20:38,700 --> 00:20:40,320 So it's a true reflection of their risk. 380 00:20:40,320 --> 00:20:43,680 And sometimes their risk is really, really high and they're going 381 00:20:43,680 --> 00:20:44,550 to be challenged with very high. 382 00:20:45,360 --> 00:20:49,560 But it's not ranking proportional to what they're doing rather than, okay. 383 00:20:49,560 --> 00:20:51,210 This is just the average we charge everyone. 384 00:20:51,210 --> 00:20:52,530 And I think that's local Fe. 385 00:20:52,530 --> 00:20:56,490 Even if that number is really high, it is self-correcting naturally, 386 00:20:56,970 --> 00:20:58,980 it is what good data frees up. 387 00:20:59,370 --> 00:21:02,430 But again, as we sort of say it a lot at the stop, if all you've done is 388 00:21:02,430 --> 00:21:07,490 built a business with . And you haven't built a strategy around it to do a 389 00:21:07,490 --> 00:21:11,180 B testing, to do risk based pricing, to do risk based limits all the days. 390 00:21:11,180 --> 00:21:12,320 And the world's not going to help you. 391 00:21:12,620 --> 00:21:16,430 The business had dropped bottom in October, 2015, shortly after 392 00:21:16,970 --> 00:21:18,290 invasive, we invested in the best. 393 00:21:19,185 --> 00:21:23,705 And there was a big downturn in Zambia and a lot of our clients lost their job. 394 00:21:23,764 --> 00:21:26,804 About 20% of our clients lost their job over a span of two weeks. 395 00:21:26,865 --> 00:21:31,125 And at the same time, there was a walkout of some of the legacy management 396 00:21:31,125 --> 00:21:33,405 members who started up against us. 397 00:21:33,574 --> 00:21:36,344 It was very traumatic, very difficult, and in, uh, operating 398 00:21:36,344 --> 00:21:37,625 in a country, that's not my native. 399 00:21:38,250 --> 00:21:42,690 And at the time, our business model was very simple and our competitive 400 00:21:42,690 --> 00:21:46,890 advantage is really sitting in the strong operations at the branches, you 401 00:21:46,890 --> 00:21:50,100 know, good customer service and good anti-fraud and these sort of things. 402 00:21:50,190 --> 00:21:54,180 And these competitors that started up against us from the inside, they were 403 00:21:54,180 --> 00:21:58,220 able to replicate what we did pretty easily and able to take away a big chunk. 404 00:21:59,160 --> 00:22:03,450 And that's sort of, when I resolved to go down a journey of building a smarter 405 00:22:03,450 --> 00:22:07,470 business, cause it just became very clear to me that you can run a business 406 00:22:07,470 --> 00:22:11,580 tightly, but you can never scale it up if operations and customer services, 407 00:22:11,580 --> 00:22:15,660 your only competitive advantage what we've bought today, or let me say 408 00:22:15,660 --> 00:22:18,960 what we're in a process of boarding and this journey we taking becomes 409 00:22:18,960 --> 00:22:21,690 harder and harder to, to copy with. 410 00:22:22,570 --> 00:22:25,930 Firstly a long legacy of customer information, but secondly, the 411 00:22:25,930 --> 00:22:29,980 ability to digest and sensibly process that information and make 412 00:22:29,980 --> 00:22:31,270 strong business decisions on us. 413 00:22:31,330 --> 00:22:34,990 And I see that our pricing and credit limit decisions becoming 414 00:22:34,990 --> 00:22:36,430 more radical as time goes on. 415 00:22:36,670 --> 00:22:39,040 Whereas most businesses go the other way around, you know, as the 416 00:22:39,040 --> 00:22:42,580 balance sheet grows, people become more careful with the decisions I'll 417 00:22:42,640 --> 00:22:45,520 journey has allowed us to become more and more radical with what we do. 418 00:22:45,520 --> 00:22:48,460 And it's just transformational for the success of the busy. 419 00:22:49,075 --> 00:22:49,254 Yeah. 420 00:22:49,254 --> 00:22:52,975 And I think it speaks to that ability to, to learn from the data that absolutely. 421 00:22:53,095 --> 00:22:56,455 And then speaking of growing, you're going live in Kenya this year. 422 00:22:56,575 --> 00:22:57,685 Do you want to talk about that? 423 00:22:57,745 --> 00:22:59,784 And any other plans that you might have? 424 00:22:59,815 --> 00:23:03,145 I saw when I was Googling it earlier, that you've, you've secured some 425 00:23:03,145 --> 00:23:06,385 financing that Westbrook, which is actually where my brother works. 426 00:23:06,385 --> 00:23:11,245 So shout out to them, but what are your blends as very much part of the. 427 00:23:12,165 --> 00:23:16,515 We want to replicate the existing business model with a little bit local flavor 428 00:23:16,515 --> 00:23:20,775 in terms of the implementation and the customer facing side of things in Kenya. 429 00:23:21,105 --> 00:23:23,595 It's a very big market, small produce, incredible depths. 430 00:23:23,685 --> 00:23:26,655 It's a fibered market and competitive there's international. 431 00:23:26,655 --> 00:23:28,005 Authentics in there as well. 432 00:23:28,005 --> 00:23:29,895 There's very strong local banks. 433 00:23:30,135 --> 00:23:34,095 So it's going to challenge our model and our ability to execute. 434 00:23:34,095 --> 00:23:38,595 So, I mean, that is very much our plan for 2020. 435 00:23:39,325 --> 00:23:43,225 There's a lot of internal plans as well of improving the existing businesses 436 00:23:43,225 --> 00:23:46,045 in Uganda, South Africa and Zambia. 437 00:23:46,375 --> 00:23:51,445 We are divesting from Tanzania because of a shelter dispute there, but the kind of 438 00:23:51,445 --> 00:23:53,635 longer term plan is to remain in lending. 439 00:23:53,755 --> 00:23:58,615 I see a dramatic shift in the whole Sub-Saharan region from secured lending, 440 00:23:58,795 --> 00:24:02,815 whether that's federal secured or collateralized lending into the unsecured. 441 00:24:03,505 --> 00:24:07,015 In the next few years as these countries, industrialized and the financial 442 00:24:07,015 --> 00:24:10,975 infrastructure becomes more sophisticated and positioning unified to be in the 443 00:24:10,975 --> 00:24:12,835 forefront of that, of that movement. 444 00:24:12,835 --> 00:24:15,925 And, um, I just see incredible growth in our markets and in our 445 00:24:15,925 --> 00:24:19,885 products and lending is a complicated business and it to details business. 446 00:24:19,885 --> 00:24:24,265 So even just doing the same thing over again, but doing a bigger, it takes 447 00:24:24,265 --> 00:24:25,765 careful planning and careful execution. 448 00:24:25,765 --> 00:24:27,745 So we're setting ourselves up to execute well. 449 00:24:28,045 --> 00:24:29,785 And I know you said you were hiring. 450 00:24:29,785 --> 00:24:31,085 If anybody wants to. 451 00:24:31,825 --> 00:24:35,245 Learn more to come work for you or to borrow from you, or to 452 00:24:35,875 --> 00:24:38,065 just learn more about what you're doing and maybe chat to you. 453 00:24:38,185 --> 00:24:41,845 Where's the best way for them to go find more information websites, 454 00:24:41,845 --> 00:24:45,505 unify dot credits, or if it's work, uh, you know, career related. 455 00:24:45,505 --> 00:24:49,465 It's, you know, Fido created Ford slash careers and for any prospective clients 456 00:24:49,465 --> 00:24:52,315 out there, it's, uh, it's your nearest branch or the website to know how 457 00:24:52,315 --> 00:24:54,355 many dollars you get from east Africa? 458 00:24:54,985 --> 00:24:55,255 Yeah. 459 00:24:55,255 --> 00:24:59,815 We're so we get a few, we get, uh, not, it's not a Heartland yet. 460 00:25:00,475 --> 00:25:02,785 It is one of the big testing grounds for FinTech. 461 00:25:02,785 --> 00:25:03,595 Isn't it in Africa? 462 00:25:03,865 --> 00:25:07,585 I love the place I've been up there quite a few times who people hustlers really, 463 00:25:07,585 --> 00:25:12,715 really assertive, uh, busy thinkers, uh, the Kenyans, uh, if I can generalize 464 00:25:12,745 --> 00:25:17,455 maybe to add on then kind of the plan for 2020 twos, we've been on this journey of. 465 00:25:18,035 --> 00:25:21,245 You know, there's touch and text strategy of ours with attached being the branches 466 00:25:21,245 --> 00:25:26,555 and the tech being the USSD mobile money straight to bank websites type of lending. 467 00:25:26,765 --> 00:25:30,785 There's been a transition, obviously in 2015, it was fully Dutch today. 468 00:25:30,785 --> 00:25:35,795 We're majority tech, but there's a transition taking the physical client 469 00:25:35,795 --> 00:25:37,325 or the client that visits us physical. 470 00:25:37,855 --> 00:25:39,325 Turning them into a digital client. 471 00:25:39,415 --> 00:25:42,475 And I think Kenya is only going to accelerate that further because 472 00:25:42,475 --> 00:25:45,385 Kenyans are extremely digitally savvy, very big on their phones. 473 00:25:45,385 --> 00:25:47,035 They're very big on mobile money. 474 00:25:47,095 --> 00:25:51,565 So we working hard to further accelerate that transformation or 475 00:25:51,575 --> 00:25:53,065 business into the digital space. 476 00:25:53,395 --> 00:25:53,665 Cool. 477 00:25:53,665 --> 00:25:56,245 Well, thank you very much and thank you all for listening. 478 00:25:56,425 --> 00:26:00,325 Don't forget to like, and subscribe on your favorite podcast platform and to 479 00:26:00,325 --> 00:26:02,185 share widely on LinkedIn while using. 480 00:26:02,815 --> 00:26:06,415 Feel free to drop me a connection request, how to lend money to strangers 481 00:26:06,415 --> 00:26:10,495 is written and recorded by myself, Brendan LaGrange for just about the last 482 00:26:10,495 --> 00:26:14,545 time outside of mates in England, if all goes to plan, we'll be in Brighton 483 00:26:14,545 --> 00:26:16,105 without a hiccup in the scheduling. 484 00:26:16,255 --> 00:26:19,015 If not, we'll just call it a mini spring break show. 485 00:26:19,015 --> 00:26:22,765 Music is by I am week and this week's episode is edited 486 00:26:22,765 --> 00:26:24,535 by Kane hunter of hunter. 487 00:26:25,425 --> 00:26:31,545 Dot co.uk, you can find full written transcripts and more content at www dot. 488 00:26:31,754 --> 00:26:33,975 Also lend money to strangers.show. 489 00:26:34,274 --> 00:26:35,955 I'll be back next Thursday. 490 00:26:50,355 --> 00:26:51,225 Hi, it's me again. 491 00:26:51,225 --> 00:26:54,195 My things are probably still in boxes, but the offer for a free 492 00:26:54,195 --> 00:26:57,375 signed copy of Hills still stands. 493 00:26:57,435 --> 00:27:00,645 So if you would like one and you don't mind sharing your address of me, a 494 00:27:00,645 --> 00:27:04,875 message on Brendan at how to lend money to strangers touch show, and I'll put 495 00:27:04,875 --> 00:27:06,495 one in the post, as soon as I can. 45315

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