Amanda Cromhout 12 min

Blind Loyalty Challenge with Shyam Shah


Find out Shyam's suggestions for addressing loyalty fraud, why he believes coalition loyalty is the true manifestation of brand loyalty and the secret to defining meaningful loyalty KPIs.



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Hi there, I'm Amanda Cromhoe from Truth. Welcome to the Blind Laugherty

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Challenge.

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We interview world experts in loyalty blindly. We're hoping to create insight,

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spontaneity

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and a lot of fun through the challenge. The challenge is about promoting the

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Blind Laugherty

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Trust and my book called Blind Laugherty, a hundred and one loyalty concept

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radically

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simplified. All profits from the book go towards the trust. We hope you enjoy

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the Blind

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Laugherty Challenge. So everybody knows how much I enjoy the Blind

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Laugherty Challenge, maybe because I'm sitting in this seat, but today it's

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going to be no

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exception. I'm really excited to chat to Shamshaw, who is the CEO of loyalty

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juggernaut. So

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Sham, you were nominated or tagged by Johan Mulman. Those who don't know, I'm

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sure most

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people know Johan, he's ex CEO of eBucks and now it's Sanlan Rewards. So it's

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so special

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to have you with us. Thank you.

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Thank you so much, Amanda, for having me. First of all, I'll thank Johan for

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tagging me. I

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think it's very nice of him. It's definitely an honor to be on the Blind Laug

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herty Challenge.

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It's been an institution in itself and it's pretty interesting for me and I

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must say,

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very excited to be on the show at the same time. I'm also very nervous. I'm not

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sure

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what's coming my way, but I'm looking forward to it.

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No, it's a good thing, so everyone tells me. So let's go with that. So, okay,

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so our first

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question, chapter 85 of Blind Laugherty and I had the absolute privilege of

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meeting you

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personally to give you a copy a couple of weeks ago when we met in Dubai. So,

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chapter

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85, thank you, talks about loyalty fraud. What would you say is the single most

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impactful

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way of mitigating loyalty fraud?

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I think so. The loyalty fraud is genuinely a huge issue and there have been

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many attempts

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to detect fraud, which is after the fact, when you analytically find out that

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certain things

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that took place in the program did not look business as usual, but detection

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can only

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do so much. You need to have a lot more preventive and a lot more proactive

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ways to prevent frauds.

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The couple of things that I think, given the tools and technologies that are

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available

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now to all the brands, the couple of things that can be done really well, both

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in terms

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of preventing frauds before the fact and also knowing about the frauds

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immediately as they

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take place. So, nowadays we have technologies in terms of AI, which really can

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look at every

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single instance of client engagement and assign some kind of credit score or

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assign some

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kind of a credit worthiness store saying score, which will say whether that

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particular engagement

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is credible or not. Pretty much on the lines of how credit card companies have

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excelled

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in detecting frauds. If your credit card spend is beyond certain limit, if the

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transaction

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is taking place at a location, which is quite unlikely that you would be at a

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particular

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point in time, it also looks at the typical pattern of a consumer behavior. Now

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with the

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ability to crunch enormous amount of data with AI tools, it's possible to find

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those

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outlier engagements that can then be detected and kept aside for the

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arbitration so that

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you really know that every engagement, every transaction is genuine. So, that

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is one part

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of using AI to identify potential frauds and then minimize those frauds. I

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think what

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will happen is those who are habitual fraudsters would also understand that

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these frauds don't

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get through. So, there will be less attempt to defraud the system as well.

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There is other

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approach that we use in our technology as well. We call it I sense, which

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basically looks

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at an aggregate pattern as to what happened in the last 30 minutes. It is more

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of a reporting

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or analytics by exception. It is not a mainstream analytics where you can have

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hundreds of KPIs

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you're finding a needle in the haystack. Instead, this is analytics by

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exception where it says,

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look, we noticed that in the last 30 minutes, a particular promotion gave out

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six times

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more points than it typically does. There might be something wrong here. It

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could be a weekend,

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it could be a heavy, you know, shocker interest, it could be genuine, but at

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the same time,

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it keeps you informed through like I like to call it analytics by exception. So

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, I think

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these are some of the approaches, strategies that the brands can look to adapt

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to minimize

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frauds. There is absolutely no silver bullet to it. Amanda, there is no way you

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can reduce

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fraud to zero, but I think there is a very real possibility of bringing fraud

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to near zero,

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you know, as you adapt these new generation technologies.

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Amazing. I love that. There's no silver bullet. I think yep, it's at your eyes.

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I mean, I always say

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that if you design a loyalty program to have zero fraud, the customer

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experience would be so dreadful

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that no one would ever sign up and never be able to use it. I sense, how do you

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spell I sense?

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I the lesser I and sense. No, it is AI is AI. Yeah, this is so the ice is this

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artificial intelligence.

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So it basically tells you that, you know, on a particular day, you know, on a

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particular,

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at a particular time, this is what can be expected. So it doesn't encumber the

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user to decide that

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threshold, the system predicts the threshold and then it checks the performance

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against the threshold.

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If it is too low or too high, it can be as simple as, you know, what is the

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total breakage that

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you recorded on a particular day? If it is exceptionally high, it is

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exceptionally low,

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maybe there is some operational issue in your loyalty program. So it is not

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just the human

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committed fraud. It could also be the inadvertent commercial incident that is

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because of the human

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error or because of some kind of miscompletion. Ultimately, loyalty per ounce

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is a banking system.

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Right. It needs to be seen as such. Brilliant. Great. Okay. My second question,

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you know,

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I've had quite a few discussions around coalition programs. So what is your

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single

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favorite coalition program? Well, my single favorite coalition program has got

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to be

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share rewards by Majid Al-Futem in the Middle East, in UAE. There are a few

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reasons why I really

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love this coalition program. In fact, I like to call, you know, the coalition

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program has been

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a quite a standard industry term for it, but I like to call it an ecosystem

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loyalty. The reason

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I love share rewards is that one of the core promises of ecosystem loyalty is

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that the value

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proposition is built singularly around the customer. It is not so much about

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what products and services

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and experiences that my company can bring to the table. It's about what Amanda

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as a consumer

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would love to receive as a value proposition. It's a true manifestation of

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brand's loyalty to the

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customer. Right. In return, expecting customers loyalty back to the brand. I

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think if you look at

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share rewards, it's conceived with that ethos that we want to deliver great

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moments to the customers

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throughout their day, throughout their month, throughout their engagement, life

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cycle.

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And if you look at the range of benefited offers, there is something in it for

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everybody.

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Right. I have, you know, they have co-branded trade cards. They use a brilliant

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mobile-based

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payment where it's a frictionless way to earn and redeem points. They have

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every, you know,

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there is participation from every vertical practically. There are shopping

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malls, fashion

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retail, grocery, hyper market, leisure entertainment, cinema theaters. I can

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pretty much have rewarding

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experience for everything that I do, you know, in my day-to-day lives. They

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also have, if that

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range is not just good enough, they also have partnerships with airlines where

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I can exchange

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my points into miles and buy a free award ticket. Also have tip-and-tip-out

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relationship with the

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leading Telco loyalty program there. So I can even have the flexibility to, you

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know,

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leverage my reward currencies in a manner that gives me the maximum value. They

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have a relationship

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with travel OTA's relationship with the, you know, a gaming casino kind of a

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company. So I think

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it's pretty much the kind of, it's like a multi-cusing buffet. There is

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something in it for everybody.

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And then it has the layer of personalization layer on top of that. So that's

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definitely

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a very pioneering attempt of a coalition program that really caters to true

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blue lifestyle value

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proposition. Wonderful. You've got a wonderful way with words. I'm writing

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these words down. I

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could have pioneering attempts and a buffet of reward options, which is just

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beautiful.

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Thank you. My last question, my last question, and your first question actually

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about fraud you

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talked on, talked about KPIs. So it's one of my favourite subjects. So chapter

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94 in blind

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loyalty is completely focused on loyalty KPIs. What would you say is the most

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strategic

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KPI that executives should be watching? Well, so I think my, my view on KPI am

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anda is that I think

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if all executives need to look at two things. One is that what is the life

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cycle stage of the

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loyalty program? For example, if I'm, if I launch a brand new loyalty program,

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I'm not

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necessarily looking to drive revenue out of it. I'm looking to maximize my

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customer acquisition.

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I'm looking to build a strong data foundation for my enterprise and then start

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to liberate the

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data foundation to then benefit from it. So I think depending on the stage at

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which the

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loyalty program is, my KPIs would potentially change. In fact, one of the

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things that loyalty

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program executives should look at is they should actually revisit their KPIs

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every six months,

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right? Because their circumstances, their competitive landscape, and their

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loyalty program life

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cycle is evolved. So, you know, so for example, if I'm a, if I'm a very matured

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loyalty program

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with, you know, enormous amount of data assets, I could look to, you know, at

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the very far end

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of maturity, I could look to monetize those insights. I could look to bring in

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partnerships.

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I could look to, you know, create some kind of synergistic alliances. I should

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look to leverage

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data for retail media type of thing. So I think at that point, it becomes quite

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monetary in nature.

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The KPIs could be, okay, here's where the, the loyalty value cycle kind of

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closes the loop,

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where we invest a lot in loyalty. And now we are, we are looking at ROI in

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monetary terms.

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But through the journey of loyalty program evolution, like the KPIs need to

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evolve all the way from

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customer acquisition to customer engagement to customer retention and

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ultimately customer advocacy,

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right? So from acquisition to advocacy, the PIS can go across the range. So I

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think there is

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one great KPI in every stage, but that's not the same KPI. I think that's the

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point I'm trying to make.

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Point great, KPI in every stage. I love that. All right, perfect. Full colors.

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So,

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Shiam, who would you like to tag to do the blind loyalty challenge next?

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Well, I would love to tag someone that I really admire and have learned a lot

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from every time I

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listen to this person speak at the events conferences or, you know, in one on

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one, I think it's always

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a learning experience. It's, it's an experience where I feel that, you know,

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this is the right space

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to be in. And that person is Dr. Najib. Dr. Najib is the divisional senior vice

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president of Skywords.

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It's an iconic loyalty program. All of us are members of it. And who's, who

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doesn't love Skywords?

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So I would directly love to tag Dr. Najib. It'll be, you know, it'll be my

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honor to really, you know,

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see him on this show. And I'm pretty sure, you know, he'll be, you know, a

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tremendous guest for you

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and me. Amazing. I quote Dr. Najib in blind loyalty and I had the honor, like

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yourself, to meet him.

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I mean, I know you've known him before, but I personally met him as well in, in

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Dubai recently.

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So, it's given him a copy of where he's quoted. So hopefully he'll take up the

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challenge and

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we can try, try our best to catch him out a little bit. But I think that'll be

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difficult.

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But anyway, thank you so much for doing this. I absolutely love chatting to you

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. And thanks for

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doing the blind loyalty challenge. Likewise, thank you so much, reminder.

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Appreciate it. I can take this item off my bucket list now.