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In these informal and unregulated
markets, people have been bitten so
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many times by whether it's unfair
charges or whether it's refunds that
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don't get paid arts or just hidden
fees and these sorts of things.
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So it's, it takes a while for the clients
to come and understand our product.
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But once I do people really have a
loyalty to us because of us favoring
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them in our decisioning and designing the
process to favor the client and it works.
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I have previously talked about how
the first wave of African FinTech was
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largely about finding innovative ways
to leverage feature of our networks
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to provide very basic banking service.
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The services were locally impactful,
but they largely solve problems
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inherent to developing markets
problems of infrastructure.
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Now this more recent wave of African
FinTech is in many ways more exciting
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because it leverages smartphones.
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It can provide richer services
and those services are more
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exportable to the rest of the world.
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There is a risk that we can create
a digital divide of sorts, where
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all the innovation moves to channels
that leave less sophisticated, less
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connected consumers behind, which
is why I love the branch to digital
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strategy pursued by unified credit
whose CEO Makilah Ru is with me today.
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Plus they actually target
profitability, which can feel
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almost subversive these days.
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Welcome to how to lend money
to strangers with Brendan.
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Okay, welcome to the show.
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It's a pleasure to be chatting to
you again, after all these years.
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I think the first time we met, I
was sitting with your brother in a
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land cruiser, floorboard deep in the
river, watching you as the younger
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brother, kid volunteered to swim under
what we could only guess I think was
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the lowest strand of an electric.
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So you could run back to camp and
fetch the car with the working battery.
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Since those cave free days,
we've all grown up a bit.
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You, you went on to study, spend some
years in private equity, and now all
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sitting as group CEO of unified credit.
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Before we talk about unified credits and
what you're doing to make smarter, easier,
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and foster loans in Sub-Saharan Africa.
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Spend a bit of time
expanding on that background.
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And in particular, what you saw
that inspired the unified business.
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Thank you.
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So it was, uh, did turn out to be the
bottom rung of the electric fence.
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And so I had a bit more
time to work on my career.
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After that the thought of
unify was really opportunistic.
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I would love to say it was
a vision, but it was more of
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an opportunity that came up.
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I was working for a joint venture
between a south African investment
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firm and a east Africa based consumer
goods and soft commodities trader
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trying to bald up a consumer facing
private equity fund, which started okay.
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But then turned out quite
badly for several reasons.
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And it never really got going one or
two investments became problematic
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and then the investment appetite
and the money just dried up.
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And I was in a space in
my career where I had.
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Tried very hard to be an entrepreneur.
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I'd had a few false starts.
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I was living in Joburg, loving,
Joburg, but also quite keen to explore.
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And I was very much on the lookout
when a email came across my desk
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from an entrepreneur in Zambia
called Charles Bernard and XL Africa.
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And he just told me that his
business was up for sale.
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It was called unity finance, which
is the root for the name unified.
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And there's a lot of things that just
got me excited about the business.
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So I did eventually go to visit him,
had a look around and eventually I
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took the opportunity to my employer.
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They weren't interested.
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So I got some friends, fools, family
money together, and bought the company
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myself, moved up to Zambia and.
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Ran unity finance from late 2014.
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What was interesting to me?
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Uh it's for several reasons, I guess,
uh, having been in the consumer
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goods, food ever processing industry
prior to that, none of the assets
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that I had looked at were quite
black, old, highly sweated assets.
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It'll be like a, a Swabian
blonde or amaze mole or.
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Ship packing factory acids, decades, all
that, uh, going through a generational
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change and the guys are trying to sell.
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Whereas unity finance was
fresh, young, new the staff.
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They really believe in the brand and
in the business and the clients really
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believed in the brand and the business.
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So it got me very excited.
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I like the traditional branch based
lending that unity finance had at the time
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and that we still have, and it was just
a really cool and exciting management.
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And crucially profitable
at the time high margins.
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And you could see a lot of possible
improvements in the business.
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It was being run well operationally,
but from a knowledge economy side,
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not a particularly sophisticated.
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So I was excited.
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We do a quite a long and
stressful due diligence.
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And eventually in April, 2015
made the transaction to invest in
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unity finance, which later became.
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So just to answer your question, I had
an interest in Sub-Saharan Africa and
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interest on entrepreneurship, but the
business model itself was more of an
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accident than a, I guess then the business
routes could be say to the, in Zambia,
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your roots, obviously in South Africa,
but you're also in Uganda and Tanzania.
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So already a continent wide business,
but in markets and obviously diverse
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and have their own challenges
and, you know, markets with.
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Traditionally people would be a bit
wary of entering they're relatively poor
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economies, relatively underdeveloped,
quite often disperse populations.
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And you'd, you could see that opportunity
in there despite those challenges.
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But before we talk about how you've
done that, if you think about those
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full countries and how you see
them now that you've, you know,
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you've got experience in them.
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So South Africa is definitely
an outlier amongst that.
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It's a lot more sophisticated in
terms of financial infrastructure.
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There's much sharper competition
and lot more difficult to break
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into, but it's a lot bigger as well.
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So I'll say South Africa side
for now focus on the other three
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and then also focus on Kenya,
which we are due to open in 2022.
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There are many similarities.
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They're all English speaking.
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Tanzania is a bit hybrid with Swahili,
but they're all based on English law.
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The environments are data poor and
it's something that we battled with.
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There's very little information on
people's credit record, usually almost
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nothing, but there's also poor information
on things like identity, verification,
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biometrics, et cetera, employment
information, employee your information.
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So your data richness and
your data validity is a real.
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And something which we've had to
invest in quite heavily to solve this.
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The second similarity is that all of
them are to a large extent shielded
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from international competition by very
tough, low cooperating environments,
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not many international lenders and not
many fintechs have appetite to figure
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out and invest in local operations.
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To the extent that is necessary to
make a success in these countries.
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I wouldn't say
uncompetitive, but certainly.
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Competitive than South Africa or maybe
other markets that you often talk about.
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And that just means that when
you get it right, the margins
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can be quite high margins.
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And then another similarity is that
of the former employment governments
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by far the largest employer.
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So governments very big in our
lives, not as a direct counter party,
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but as an employer of our clients.
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Yes.
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I remember when I was landing in Kenya,
the teachers' unions, the military.
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You know, those employer groups
of the government, sustainable
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employer, they get paid on time.
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Big difference in risk between that.
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And somebody followed
is formerly employed.
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Now, if I look at your, your
tagline, you talk about taking
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smarter, easier, and faster unsecured
lending solutions to underserved
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markets across Sub-Saharan Africa.
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You've obviously already mentioned
some of the challenges in terms of
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sort of hard infrastructure and data.
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But if I look at that tag line,
I assume that you're leaning
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pretty heavily on the smarter.
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That you're using tech container.
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You've already spoken a little bit
about investing in that, but I assume
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that that's where you lean so that
you're able to do it fast and easy.
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How have you made it possible
to enter these markets?
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Whereas you're saying it's
a little bit challenging.
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Yeah.
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I don't think there's any magic in it to
be very honest for our model where it's
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a combination of branches and online
channels, you need to have the patient.
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Of writing out a branch network and
navigating the operational issues that
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come with high employment and with cash
in transit and landlords vehicles, just
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the physical infrastructure on the ground.
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That's not really anything.
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Too smart, but it's not easy.
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It's hard work just to keep things
together and build good teams.
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Certainly given that we've
largely achieved that the next
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step for us is really to make
the lending smarter, as you say.
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And that is the current
chapter that we're in.
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Again, I'm quite a traditionalist.
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Our data analytics are based
on machine learning or AI.
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We just make sure that our
basics are done correctly.
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So in a data poor environment,
we make sure that our own data
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are very well verified, stored in
structures that are easy to access
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and very accessible to the users.
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So even though we don't get many
external sources of data, we use
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our internal sources of data three.
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Well out of that, we've been able
to bold scorecards that I believe.
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Better than most of our competitors,
usually only behavior score cards.
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So in all the new countries where
we operate are first time, clients
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are treated very similarly.
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It's very difficult to get first
time information on clients to make
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a credit decision, but then we follow
sort of a loan growth strategy where
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we start with a short short-term.
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Low value loan.
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And they very early on use information.
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We get back from the person's repayment
behavior to increase limits and push term.
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And I think I'll be able to score cards,
even though they are not based on any
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sort of new science and new magic are
quite revolutionary in the markets where.
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Apply them.
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And we've got enough confidence to make
pretty strong credit decisions on them.
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So the difference in limits between
the opposite ends of our score card
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and the difference in pricing are vast,
which is a big part of our strategy.
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Yeah.
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And it's as important part of it.
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And it's really actually great to
hear because often maybe they've got
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a consultant in and they've built
themselves a scorecard and that
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scorecard can create 50 customers.
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But then they still give everybody
the same limit in the same price.
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I just haven't thought through
what to do with their data.
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And that's really the most important
part where you might get caught
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up in the slight difference in
the genie or something and saying,
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well, you're not using any of the
predictiveness that you're chasing.
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And also, I see you talked
about right upfront, the
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business was already profitable.
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And I think that can get lost in a lot of
the FinTech we talk about today that chase
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has growth, Chase's technical innovation
and hopes one day that they will,
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uh, make some profit in the long run.
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You're showing that a thorough
thinking through of the
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business is often better than.
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Implementing the latest
technical tools for sure.
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So we've always trashed profitability
throughout, and we've only missed
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one quarter in 2015 when things were
really bad in Zambia, but I believe
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in balancing the books and, and, and
using your, your income statement as a
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guide to where you should go, just to
quit, maybe add onto the innovations.
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So I spoke about data and it's
big for us, but the system and the
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technology side is equally as big.
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If not better.
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We've insourced our loans management
system, which is a big challenge,
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but a very good decision for us.
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We centralize the costs between the
different operating entities, which
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certainly takes away some of the pain.
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And we've made a lot of effort to
integrate starkly into the large
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mobile network operators that are
across Africa, AMT and air towns.
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To be able to do real-time integrated
mobile money collections and payments that
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gives our clients massive convenience.
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So even though we have a new cloud
requirements to present yourself to a
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branch and to enroll your fingerprints
and take your photo, once new clients are
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enrolled, the majority of people actually
transect subsequently through a USD
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interaction that's fully integrated with.
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Cashless paperless contactless.
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So you could sort of see the theme here.
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It's a sort of traditional starts and then
very quickly move people into a online
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and tech interface and a channel with kind
of limits growing and prices coming down.
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Yeah.
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So I guess you're saying we're not going
to just build the modern environment and
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hope some people filter through we're
going to provide a routine so people
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can come in and we will validate them.
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It'll be secure.
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There'll be a bronch.
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If any.
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But once everything's digitized, we've
put the data to offer a fully mobile
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solution, a fully online solution.
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And we can do that as well.
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And I think that's quite an
important step in a developing
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market with, as pops need to create.
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Otherwise people get stuck in a Bronx
neighborhood cause they need a bronch,
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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.
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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.
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You also talked about the identity
earlier and there as well.
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You know, one of the big challenges
that comes up often when you talk about
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lending in developed markets, is this
lack of approvable it entity where traces
241
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don't always exist in any meaningful way.
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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
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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
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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
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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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