Home Tags Posts tagged with "customer segmentation"

customer segmentation

Penning blogs on customer experience management (CXM) can get tricky after a while. The bottom-line of each piece is simple-a sound CXM strategy can make or break a business.Here’s the interesting bit, though. Equally important factors in the CXM game are the tools of the trade one opts for. There are, without a doubt, a plethora of options to choose from. But which strikes (or is likely to strike) the right note?

Permit me to point out, though, CXM isn’t a “one size fits all” solution. What may work for one customer may not apply universally. In the context of this blog, though, let’s focus on artificial intelligence (AI) and how it ensures customer experience monetization.

Permit me to start by restating-AI is not a generic solution. One simply cannot just implement AI-there are larger implications. While there is, indeed, a large amount of hoopla around AI, let’s not forget, there’s no field tested and proven solution for AI. Every solution, every use case that’s been built so far can only be improved, not replicated. If one chooses the latter over the former, well, they’ve merely limited the possibilities. Therein lies the nub of the argument-the field is yours to prove and implement.

AI and CXM: A Multi-Faceted Equation

There may be a million ways to address this point (and why not, don’t forget, all data provides some outcome!). A very straightforward approach would be thus-AI enables companies to ensure real-time decisioning. How? Well, the data is on hand. Customers haven’t really changed their patterns, except every decision is usually made “in the moment”. And apart from the fact, of course, that the sheer number of decisions has increased dramatically.

So, AI, in a nutshell, enables companies to inject predictability with a fair degree of accuracy whilst dealing with customers. The idea is to see if the likely short term future outcomes of a customer’s actions come to the fore.

AI-Based Use Cases That May Turn the Tide for Operators

As I mentioned before, countless use cases for AI (and indeed, any technology) exist. And are only becoming more intelligent, with the domain shifting constantly. Within the scope of the CXM domain, though, two primary use cases must be focused on, if one is serious about retaining customers, of course.


Leveraging AI Intelligently

This is, to be honest, a bit misleading. Here’s how-the very idea of introducing AI in the CXM domain is to enable operators to compliment the customer’s expectations. To be where the customer is. And so on, of course.

Now, that a clear set of priorities has been defined, the next step is to create a roadmap of how to intelligently leverage AI. Perhaps something on these lines..?


What’s crucial to remember is that AI is directional. Don’t mistake it for “artificial execution”-it can only do so much. It cannot address a challenge. It may offer a leaner, meaner structure for problem solving but one’s still got to execute the same, for best results!

On a parting note, permit me to put it simply, yet succinctly. Focus on breaking the clutter. Focus on customer retention and making the brand. Focus on AI as a tool in your arsenal, not the arsenal itself. For, isn’t the bottom-line providing an unforgettable customer experience?

May 3, 2019 0 comment
6 Facebook Twitter Tumblr Pinterest

Perhaps the biggest challenge while penning (yet another) article on customer experience and value management (CXM) is not repeating oneself. After all, how does the audience stand to gain from reading ad nauseam about how defining a sound CXM strategy is a good idea? Or, for that matter, how to best measure the success of such strategies?

The point is that one can only emphasize half a million times about how CXM is not a boxed solution. Here’s what ought to be highlighted instead; projects undertaken in one part of the world cannot and more appropriately should not be replicated as is in another. Each part is different and even within one, customer preferences vary greatly compared to those in the same region.


The ASEAN Puzzle

The Association of Southeast Asia Nations (ASEAN) is an interesting example in this context. For one, the region is a mix of contradictions. Take, for instance, customer segmentation. The region not only houses an array of cultures, but multiple income levels across varying geographies as well. In other words, the customer base in this region may well be considered a pyramid-like structure. Customers belonging to the middle-class and international corporate segment are demanding advanced services. These are perched atop a large base of low to-middle income consumers in both urban and rural areas. This segment largely leans towards prepaid services. Overall, the region displays medium to low average revenues per user (ARPU). Meanwhile, some markets are overly saturated, with penetration rates greater than 100 per cent.

Naturally, then, operators have their work cut out for them. A difficult task, no doubt, especially since these players have, by and large, stuck to traditional methods. The classic ARPU model is still the benchmark, as opposed to focusing on improving overall share in the customer’s wallet. Likewise, they choose to

stand apart from the competition by offering a vast service bouquet, priced very competitively.

The catch here is that these methods (while sound in their own right) aren’t really relevant anymore. Customers today are no longer impressed by a differentiated service bouquet-this is now considered a given. Optimum quality of services is a prerequisite, as is value for money. Factors such as data speeds, service quality and minimum response time are what make customers tick. As a brief side-note, it would be worthwhile mentioning a recent customer survey carried out by Bain & Company. The survey covered prepaid customers in the five largest economies in the region- Indonesia, Thailand, the Philippines, Malaysia and Singapore. The results suggested that this customer segment wanted strong voice connections with no dropped calls, fast video downloads and hassle-free social media access. In other words, usage experience was the most important factor influencing how they viewed the operator, above value for money, plan selection, service and corporate image.

Operators, please sit up and take note. Merely slashing prices will no longer ensure you a seat at the leader’s table. Ensuring a differentiated and optimum customer experience will.

What Ails Operators in the Region

Why operators in the region ought to focus on CXM is simple. Customer expectations have increased manifold, especially as an operator’s network expands to include high-sensory applications such as music and video. In this context, operators have to ensure that these experience-led applications function effectively on their networks. In fact, CXM itself has increased in complexity and functionality. This, in short, makes it more important to deploy tools and capabilities to effectively manage customer interactions and touchpoints.

So, the challenges facing operators in the region broadly include:

  • Low Efficiency: Cost efficiency and service quality is what makes all the difference.
  • Improved Productivity: These players require decluttering of their service bouquet.
  • Varied Focus: Operators by and large tend to focus on post-paid subscribers, even when the market itself is predominantly prepaid. This is because the former mean higher ARPUs and retention levels. This, however, may not prove effective in the long term.

Here’s where advanced analytics and machine learning step in. CXM-driven service modelling and offering personalized services in real-time is the ideal way forward in ASEAN. The idea is not to add more services but to zero down (and

focus) on what the customer really wants. The ARPU may not register a meteoric increase, but the potential to enhance revenue is significant.

Operators would do well to remember one crucial point. It isn’t about how much data is available or how frequently it is refreshed and processed. It is about garnering actionable insights from that data plie. Making sense of that data and leveraging that for customized and real-time marketing to drive customer experience. The bottom-line is for operators to keep in mind that the scope of CXM itself is very broad. The idea is to drill it down to specific domains, sub-domains and use cases, one that best provides the most optimal return on investment.

Measuring the Success of CXM Initiatives

Overall, while the measurement mechanisms vary and are usually not very standardized, Net Promotor Score (NPS) is still a critical metric. This is most commonly used by operators to assess the outcome of CXM projects. Simply put, it is externally referenceable, customer-sourced, and can be applied at the brand, product and business process levels.

Of course, all organisations have a series of metrics derived from systems and business processes to track performance. These are typically correlated with NPS to identify drivers for improving the same.


Net, net, the telecom game is no longer about how much a customer spends on an operator’s network. It’s about how long they stay on your network. Deploying a CXM strategy will certainly help an operator keep their ears to the ground. After all, isn’t knowing what the customer wants the bottom-line?

August 30, 2018 0 comment
0 Facebook Twitter Tumblr Pinterest

Digital LATAM Ripe for CVM Evolution

The volume of data generated every day in Latin America is enormous. Most of the countries in the region are in the middle of a digital revolution due to high mobile penetration, expanding IoT ecosystem, rising adoption of cloud, social media, and e-government initiatives. This data revolution is allowing banks and telecom companies to leverage Big Data and Analytics (BDA) capabilities for creating value for their customers, which in turn, promise to bolster their revenues while bringing down costs.

Telecom LATAM: Going digital

According to Analysys Mason, the telecom industry is going to grow to $140 billion by the year 2020. Mobile data service will overtake voice revenues by 2020, as it will be fueled by Latin America’s increasing internet and smartphone penetration. Similarly, LTE is making a big impact in LATAM, and it is expected that by 2020 most mobile SIMS will be on LTE. In Brazil, Chile, Peru, Venezuela, Argentina the rise of data consumption (on LTE) and fixed broadband services will drive service revenues. However, all markets are not on a similar growth path, with some growing at a slower pace than the others.

Segmenting the Markets

Basis data collected from GSMA Intelligence, the markets can be segmented into the following –

Growth Markets

By the year 2020, Latin America is expected to add 60 million new subscribers. Mexico (31%), Brazil (22%), Colombia (12%) and Peru (9%) will grow the fastest in the region. Growth catalysts include Latin America’s economic recovery, as well as the increasing uptake of mobile data services in the region..

Stagnant Markets

According to GSMA forecasts, growth will slow down or stagnate in Argentina, Guatemala, Nicaragua, Uruguay, Chile and Venezuela. The economy and saturated markets will contribute to slowing down of growth in the region.

Competitive Market

Of all markets, the Brazilian telecom market shows the lowest spread in Market share and ARPUs, which characterizes it as a highly competitive market. On the other end of the spectrum, we have market monopoly in countries like Mexico, Uruguay, Colombia, and Venezuela, which are dominated by a single operator.


In most developing markets telecom companies are struggling to maintain profitability. The market in Latin America is no different. The high cost of customer acquisitions, rising price wars, and increasing customer churn are some of the factors contributing to low ARPUs across the board. The years 2011 to 2017 were marked by new customer acquisitions, with double digit growth in several markets. However, in 2018, it is increasingly becoming clear that the industry’s long standing orientation for customer acquisitions have not worked, which is evident from low ARPUs and churn in the markets. The time has come for operators to strike a fine balance between acquiring new customers and catering to their existing customers in order to increase their profitability.

The advantage of CVM is that it is an end to end holistic solution that can be fitted to customer acquisition, retention or even up-selling and cross-selling in growth markets as well as markets showing the characteristics of having attained maturity.

Growth Markets

Brazil, Mexico, Colombia are adding new customers every-day. Telecom ARPUs in these markets are low because of the subsidies given to new customers, as well as retailer commissions. According to Strategy & analysis cutting off the payback period at eight months will yield greater than 40% saving on customer acquisition costs. In these markets, CVM solutions will help to evaluate the price elasticity of certain customers with regard to subsidies and credit which will help in reducing the payback period for new customers

Saturated Markets

In many of these countries, the market is saturated. Market penetration, which is estimated in % unique subscribers, is over 90% in Argentina, Chile, and Uruguay. By 2020, we expect more countries, like Mexico, Peru, and Colombia, to grow their base of unique subscribers. Once markets becomes saturated, it will become necessary for telecom operators to shift their focus towards retaining customers through dedicated, one to one campaigns, based on a holistic understanding of the customer’s past behavior.

Stagnant Markets

In stagnant markets, it is no longer profitable to increase market share. Instead, telecom companies must look to increasing profitability from their existing customer base. In general, the operators will have to strike a fine balance between aligning channel activities, optimizing customer contact and improve product portfolios.

What can Analytics do as of now in a predominantly pre-paid market?

Big data and analytics capabilities are helping operators to devise customized services, pricing plans, marketing campaigns, promotional strategies, with less effort and more success.

Since the telecom market in LATAM is largely a prepaid market, low credit can potentially lead to millions of dropped calls or terminated data sessions, which can easily lead to loss in operator revenues, or even worse, when the customer churns to the operator’s competitor.

An end to end CVM solution would leverage big data and analytics to mine actionable insights from customer data, and using that information to offer relevant and contextual services through the customer’s preferred channel.

This would mean capturing customer events on a real time basis, running analytics based on customer profile, and then orchestrating services like marketing automation, call completion services, e-payments, and financed telecom services that will help the subscriber to enjoy uninterrupted services on their mobile devices.

The use of AI and Machine learning will only help in optimizing the services further by optimizing services as well as delivery across the subscriber’s preferred channels.

LATAM Banking: Trending towards Inclusion

The year 2016 saw the exodus of a number of international banks from Latin America due to weak earnings, continuing losses, and stringent banking regulations.

This provided regional banks with a great opportunity to expand their business by increasing their focus on their customers. Key challenges before banks include acquiring and retaining “profitable customers” while keeping costs under check. However, all markets are not the same. Some are maturing fast, while some are still in the initial stages of growth. Basis data collected from Findex 2018, we’ve segmented the markets on the basis of their growth state and potential.

Matured Markets

These markets have grown the quickest in the region, with banking services reaching to over 60% of the population. In some of the countries the banking penetration has doubled in the period 2011 to 2016. The countries that belong in this group include Brazil, Uruguay, Chile, Venezuela and Bolivia.

Digital Adopters

Besides high bank penetration, these markets are characterized by higher than average mobile phone penetration, data consumption. Indecently, these countries have higher uptake of digital payments compared to other countries in the region. The countries in this group include Chile, Brazil, Venezuela and Uruguay. Digital laggards will include Mexico, Colombia, and Peru.

Growth Markets

Many of the countries have low banking penetration because of the lack of access to branches, or the lack of funds. Mexico, Colombia, Argentina, Guatemala are some of the countries that can be put into this bracket. However, these countries have a high mobile penetration, which provides an opportunity to leverage digital channels for providing banking to all.


CVM solutions are very flexible as they are applicable in a growing market as well as an emerging market. In a growth market CVM solutions are allowing banks to improve the payback period of their new customers. Similarly, in advanced markets, CVM solutions allow banks to explore newer source of revenues and increase their return on investments.

Growth Markets

In the growth markets of Argentina, Mexico, and Colombia the rise of Digital Only Banks promises to bring banking services to the financially excluded. Digital only banks will be in a better position to tackle major roadblocks to banking like lack of access, funds and trust, and thus helping in providing banking for all. CVM solutions will help to cater to these prospects in a cost effective and profitable manner by providing contextual, one to one services, like savings, loans, credits, transparently, without friction.

Matured Markets

In the advanced markets of Chile, Brazil, Venezuela, Uruguay, CVM can help banks to increase customer stickiness and increase the customer lifetime value. Here, banks can leverage customer data generated across chat services, facebook, SMS, email for creating a more engaged customer base. The benefits would be the following –

  • CVM solutions will help incumbent banks to deliver an Omni-channel, personalized and responsive digital experience to their customers.

  • It will allow banks grow value from their existing customer base by influencing monetary as well as relationship metrics.

  • CVM will provide banks visibility into customer intent and leveraging this information to influence customer’s behavior in line with business goals.

  • It will help in creating stickiness and customer value through upselling, cross selling new products and services like loans, and insurance.

A good example here would be a customer using his card or mobile wallet for online or offline payments. As soon as the customer swipes his card or pays for online goods, the banks will be able to initiate a real time offer or promotion that will help to incentivize usage of the card or digital wallet.

Similarly, in competitive markets, like Venezuela, Chile, CVM will help to differentiate through innovative services and products like loans, tailored savings plan, loyalty point management. In Chile, a leading bank is allowing its customers to redeem points at international online stores. In Venezuela, a leading bank is providing end to end loan applications on their mobile app, which is aligned to their customer’s contextual needs and requirements.

What can Analytics do in this market?

Big data and analytics can help banks in LATAM to measure near term gains for individual customer, as well as estimate future opportunities in growth markets. In matured markets, it helps in increasing wallet share by identifying relevant cross sell and upsell opportunities. Targeted marketing based on a better understanding of the customer through analytics will help to migrate the customer from less profitable relationships to more profitable ones.


For banks and telecom companies looking to differentiate themselves in an increasingly competitive market, with low ROIs, leveraging CVM has become essential to winning and retaining customers. In the coming days, one can expect Banks and Telcos using AI/Machine learning powered CVM solutions to get that one bit closer to their customers, with contextual and personalized solutions that are meaningful and that relates to the what the customer needs.

August 30, 2018 0 comment
0 Facebook Twitter Tumblr Pinterest