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The Mor Committee report – The demand side conundrum

One of the most frequent criticisms of the Mor Committee’s report on “Comprehensive Financial Services for Small Businesses and Low-Income Households” is that it ignores the demand side. The report offers a sophisticated vision of the financial architecture and what one commentator describes as “financial services as a fundamental right” for all. It also provides the guiding principles for implementing the new approach. But the report seems to imply that low-income people’s demand for formal financial services is a given. Is this a fair assumption?

Recent history in India seems to suggest that this is a heroic and optimistic assumption. The poor take-up of No Frills Accounts gives cause for pessimism. But in many respects, No Frills Accounts were designed to fail. Banks were instructed to open these accounts without reference to their use – and so they did exactly that, and dutifully reported to the Reserve Bank of India. See “No Thrills – Dormancy in NFA Accounts”. But this does not mean that poor people do not want bank accounts –MicroSave’s research into this phenomenon revealed that there were a series of features to which poor people aspired and needs that they could clearly articulate … and that poor customers were, in the main, willing to pay for these services.

We know from “Portfolios of the Poor” that poor people have remarkably active financial lives, and need a range of simple formal financial services comprising (at the minimum): (1) a basic transaction account; (2) a recurring deposit account; (3) a working capital loan; (4) an asset acquisition loan; and (5) an emergency loan. See “Financial Services That Poor People Want”.  This is broadly speaking the product range now offered under the much under-rated Grameen II programme, which has seen startling levels of demand for its savings and credit products. See “Lessons From The Grameen II Revolution”.

IFMR’s outstanding KGFS model, build on painstaking action research in three very different parts of India shows that there is demand for and active use of a range of around 15 financial products when they are delivered in a convenient, accessible and affordable manner.  See “The Pursuit of Complete Financial Inclusion: The KFS Model in India”.

But both Grameen II and the KGFS model are “high touch” in nature, and involve frontline staff visiting clients in their villages – on a weekly basis in the case of Grameen II.  Banks are unlikely to adopt such models. For this reason, business correspondent agents will be crucial for the success or failure of the Mor Committee’s vision for financial inclusion.

Outside of Somaliland, where the absence of credible formal banking system, Telesom’s salary and merchant payment focus and free service have yielded spectacular results, few deployments have generated more than 1-2 agent-based transactions per customer per month. And dormancy amongst mobile money accounts remains a perennial problem. This is in part due to poorly designed enrolment campaigns that reward agents based on customers signing up for the service rather than actually using the service, but it is also in part because transactions are expensive and/or because of the limited product suite on offer.

“There are two glaring facts the mobile money industry needs to face up to. First, digital accounts have very little value stored in them, and the practice everywhere is to withdraw any e-money received immediately and in full. This makes people not naturally inclined to pay electronically, except for remote payments for which people will take the trouble specifically to cash in. Second, there is surprisingly little systematic use of electronic payments by formal businesses, a space in which cash and especially checks prevail, even in Kenya”.

Ignacio Mas in “Beyond Making Payments: Managing Payments”

As can be seen in the graph below from the national representative Agent Network Accelerator research, the vast majority of agent-based systems continue to offer basic wallet and payments services, focusing above all on remittances, bill pay and airtime sales. Unsurprisingly, in the sub-sample of banks offering agent-based services in Kenya, 97% of agents offer savings deposits to a bank – but few banks have accounts and services designed specifically for the channel. To make agent-based digital financial services an integral part of poor household’s lives, we will need to re-engineer the product suite to offer a similar range of products offered by Grameen II and KGFS.

This work is already underway. MicroSave is working with banks in Colombia, Kenya, and South Africa, to name but a few, to develop a suite of savings, credit and insurance products for delivery through these banks’ agent channels. And, of course, the savings and emergency loan facilities offered by Commercial Bank of Africa through M-PESA under M-Shwari are already very popular in Kenya despite some of its limitations and challenges.

“What we need are service concepts that help people manage their financial lives the way in which they think about them. Customers need to give shape to their own user experiences. That means providers must think of products as tools which customers can use in different ways rather than as products that offer specific, inflexible services”.

–         Ignacio Mas & Premasis Mukherjee in “Basing Product Development on Mental Models and Metaphors

Ignacio Mas has also proposed a system of jam-jar accounting to allow users to set aside money for different needs, projects, and aspirations. This could be enhanced with SMS reminders to save and confirmations outlining how much more is required to achieve the user’s goal – thus facilitating the recurring deposits required to build up what Stuart Rutherford calls “useful lump sums”. The MetaMon project looked at how low-income people in India and Bangladesh think about managing their finances, with a view of identifying metaphors to better describe financial management systems on the mobile phone and thus make them intuitive for poor users.

A range of products will also require different types of agents. In addition to the typical cash in/cash out merchants that service traditional payments based system, providers will have to train and monitor a more sophisticated cadre of sales agents. Sales agents will explain and sell products and jam-jarring systems to prospective customers. This is alluded to on page 57 in the Mor Committee’s report.

The Mor Committee advocates one (presumably cash in/cash out) agent per square kilometer where there are 4oo households. But, given the international experience with basic wallet and payments systems to date, it is doubtful that agents will make adequate income from servicing 400 households. MicroSave’s experience worldwide suggests that an agent needs to service 650-1,000 customers (depending of course on how often they transact) to derive an adequate income. For this reason, too, broadening the product suite and encouraging regular use is essential.

There is clearly latent and unrealised demand for financial services amongst low income households, but to achieve real financial inclusion as defined by the Mor Committee (see box) we will need to work hard to design and provide products tailored specifically for low income households and for agent-based delivery channels. The Universal Electronic Bank Account will be a good start as a “gateway” to the other products. But we should not under-estimate the challenges (and the opportunities) of creating a suite of intuitive and relevant products to help low income households manage their finances. Only when these are in place will we see the transaction volumes that both cash in/cash out merchants and sales agents will need to continue to provide their services.

There is clearly latent and unrealized demand for financial services amongst low-income households, but to achieve real financial inclusion as defined by the Mor Committee (see box) we will need to work hard to design and provide products tailored specifically for low-income households and for agent-based delivery channels. The Universal Electronic Bank Account will be a good start as a “gateway” to the other products. But we should not under-estimate the challenges (and the opportunities) of creating a suite of intuitive and relevant products to help low-income households manage their finances. Only when these are in place will we see the transaction volumes that both cash in/cash out merchants and sales agents will need to continue to provide their services.

 

Choosing An Agent Management Model

One important question service providers have to ponder prior to entering the market is the agent hierarchy structure. Adopting a model which fits the market will save time, and money, and reduce stress levels for Senior Executives!

The three models below illustrate the most common options available for service providers:

The Direct Agent Hierarchy Model enables the provider to have direct access to agents interfacing with end-user customers. The provider takes responsibility for the operational support and oversight of the agents and ensures overall quality of the agent network. The aspects that service providers control include those which relate to individual agents as well as to the network itself. These attributes pertaining to individual agents that the service providers manage include the agent profile, physical layout of the  outlet, stock keeping levels, liquidity, quality of branding etc. The network related aspects pertain to capillarity of spread – for instance, the number of agents in a locality, the factors which determine the presence of an agent in the locality etc.

Who Uses it: Safaricom’s M-PESA started off with this model, Equity Bank in Kenya currently uses it.

Pros: Banks often favour this model because it gives the provider the most direct control over the network, which can appease regulators, enable the offering of more complex products, and direct the most commissions directly to agents without a middle management taking a cut.

Cons: The major drawback is this model is extremely difficult to scale quickly. Moreover, under this model, service providers could potentially get bogged down with operational issues which are often better managed by, and easily outsourced to, a tier of aggregators or master agents.  This level of middle management also often has better market visibility and can more accurately direct where new agencies should be best placed.

The direct agent hierarchy model could potentially be appropriate for smaller markets and providers with gradual growth strategies or limited ambitions (banks just trying to decongest banking branches for existing customers.)

The Master Agent Hierarchy Model, is often incorrectly labelled the “aggregator model”, and is probably the most popular. In this model, the provider appoints a select number of ‘master agents’ who have proven financial and operational muscle to handle recruitment, operational support and management of field level transaction agents. The earnings of master-agents will be a proportion of the earnings of the agents they manage.

Who Uses it: Tigo Pesa (Tanzania); Airtel Money (Kenya); bKash (Bangladesh)

Pros: This model is streamlined for growth, and often telecoms just activate the agent network structure they have existing for airtime distribution to also serve as cash-in/cash-out (CICO) agents   The model also minimises operational costs to the provider, as the cost is usually taken out of agent commissions.

Cons:  However, this also means that the extent of control over the agent network is lower than the direct agent model. There is a management level between the provider and the customer touch point, meaning that monitoring has to be done on more levels, there are more incentives to align, and the ecosystem is one level more complicated for everyone.

 

The master-agent model is appropriate for the larger, more developed markets where scalability of the agent network is considered a competitive advantage.

The Matrix Hierarchy Model in its most basic form is a combination of the direct agent and master agent models in a single deployment. Providers manage some strategic agents directly while delegating control of others to master agents. A number of deployments have found the benefit of this structure including Safaricom’s M-PESA.

Who Uses it: Dutch-Bangla Bank (Bangladesh), MTN Money (Uganda); M-PESA (Kenya & Tanzania)

Pros: With this hybrid model, providers can more incisively choose between quality and quantities of agents in different sub-areas of a country.  They can also easily create centres of excellence, where customers can go when they know they need to make a big transaction or do a reversal, and where agents can do with questions, or to do some operational tasks like rebalance.

Cons:  It is much harder to clearly define roles and responsibilities so that all operations are covered, yet nothing is unnecessarily redundant.  Further, there will likely be different reward systems and KPIs which will have be aligned and managed with sophistication.

The matrix model is suitable for those with a sophisticated head office that can run complex management systems and are planning to offer an array of sophisticated products to different demographics and need a maximum amount of flexibility in their management model.  It is also used in embryonic stages of development where the provider is not sure yet which model to choose and so tries a little of the top two.

Needless to say, all the models have their own sets of benefits as well as challenges. As a rule of thumb, I would put my money on the Matrix Hierarchy Model in the initial stages of the agent network roll-out, and then consider introducing other models progressively, if need be. It provides service providers with the benefit of ‘having their cake and eating it’!

Whichever the model providers pick, arriving at that decision quickly is quite critical. The benefit of determining the agent hierarchy model early is that it has a direct correlation to the agent reward structure, taking into consideration the various intermediaries in the food-chain. By extension, the model adopted has the potential to influence all aspects of the business, including but not limited to strategic planning, pricing, process design, user interface, product attributes etc.

Kimathi Githachuri is Head of The Helix Institute of Digital Finance. As an expert in digital financial services, he previously worked as: Head of Mobile Money at Warid Telecom in Uganda (GSMA Sprinter), Mobile Money Channel Development Manager at Airtel Kenya and Area Sales Manager at M-PESA where he helped build the M-PESA network.

Extra Reading:

Agent Network Evolution: From License to Live

When the champagne bottle is popped for the successful launch of a digital financial service (mobile money/ agent banking) agent network, nobody – hopefully, with the exception of the agent network manager (ANM) – seems to appreciate the efforts behind ensuring the product launch is premised on an immediate start in transactions.  This is paramount because most new roll-outs stumble here and never recover.

So once the milestone ‘No Objection Letter’ (or license, depending on the jurisdiction) is received from the authorities, what is your short-list of priorities that must be executed to ensure your launch party is not the last party you throw? The answer to this question will depend on an initial examination of the maturity level of the market in which you are operating and the target demographic your roll-out has chosen to target first.

These considerations will determine how you cross items off your list, but the top four items that you need on it, are fundamentally the same everywhere.

 

1. Strategic Clarity on Agent Quality & Qu antity: You will need to understand how your business model projections and target market affect the spread and quality of your agents.  Lowering float requirements might drive agent applications in the short term, but lead to agents being unable to transact at high volumes or values.  Will that conflict with your vision of success?  Other trade-offs will affect how/if your agents become located in areas that align with your business model and provide service to the quality that your demographic expects.  These trade-offs include how much marketing materials will be provided, the amount of training provided at inception and the KPIs you set for opening rural locations. Avoid common pitfalls like thinking that mass market demographics do not want high quality service; and that if one heavily favours low quality, high growth at the beginning of the roll-out that they will easily be able to shift that back to high quality later.

2. Aligned Incentive SchemesOne of the most – if not THE most- challenging task for the agent manager is building a business case that will appeal to prospective agents.  Often pricing structures are designed for the customers, but forget that everyone in the ecosystem “has to eat”, and in this sense, agents are customers too.  The manager has to balance attracting the most desirable set of agents with an exciting Return on Investment (ROI) structure, with ensuring that the business breaks-even sooner rather than later.

It is essential that you have an incentive scheme that is aligned with your business plan, and rewards the agents based on the quantum of efforts made.  Furthermore, programme some flexibility into it, so that the structure can evolve fluidly with shifts in your business model. For example, in the first year, customer on-boarding will be the most important to the business. Therefore, you may want to skew a lot of the incentives to customer on-boarding, but later-on taper this off and increase rewards to alternative growth areas, like P2P or pay-bill transactions. Further, you may keep the network management in-house right after launch when the network is small, but if you plan to scale, most will bring in a mid-level master agent structure later, and the incentive structure will have to be able to accommodate this seamlessly.

3. Below-the-Line (BTL) Marketing & Communications Strategy: Many providers spend a fortune in above the line (ATL) marketing ignoring on-the-ground activities where the rubber-meets-the-road.  From my own experience, whereas ATL is important to build product awareness and mass credibility, below the line (BTL) activities have the most impact. This is mainly users must have a much higher level of trust to send their hard earned money through a digital financial services system than to use voice or SMS services.  That trust is built on the ground, face to face, with new users. Therefore, the more feet and dollars you have on the ground, the more impact you have with the masses.

The most important focus of BTL is training. You will need to train, retrain and keep training the agents until they sing your song in their sleep! Agents are anyways the face of your business in the market place. And while at it, please generate as much chemistry as you can develop lasting relationships with these agents.  Agents have been known to be more empathetic to providers that maintain good relationships with them, and this can ultimately determine the success or failure of your business.

4. Support Structures: Finally with any new roll-out, problems will arise constantly and agents need to know that you will be there to help them work through them.  Will you have a private helpline for agents?  How often will you visit them, what level of support will you provide alerting them of fraudsters, and helping them manage their liquidity?  Remember your back-end system will tell you how much e-float they have but how will you consistently determine their cash levels and predict when they will have issues? The more support you are able to give them, the higher quality service they are able to provide for you. And if you are looking to evolve your network in the future to handle more sophisticated banking products, this is something you want to put in place from the start, so you can ensure optimal performance, and encourage agent retention.

Kimathi Githachuri is Head of The Helix Institute of Digital Finance. As an expert in digital financial services, he previously worked as: Head of Mobile Money at Warid Telecom in Uganda (GSMA Sprinter), Mobile Money Channel Development Manager at Airtel Kenya and Area Sales Manager at M-PESA where he helped build the M-PESA network.

Extra Reading:

Risk Management in Digital Financial Services

With the gradual move towards digital financial services, risk in this space is also growing. In this video, MSC’s DFS expert, Soumya Harsh Pandey, highlights different types of risks being faced by digital financial service providers and clients; and possible mitigation steps. This video is therefore, an attempt to raise awareness about these risk so that digital service providers and clients become more aware and take suitable steps to mitigate these newer types of risks.

Index-based Microinsurance for Disaster Risk Reduction

Index insurance has emerged as a disaster management tool for the poor because of its effectiveness in assisting poor people to deal with catastrophes. Focusing on the benefits of Weather based index insurance, MSC’s Microinsurance expert, Sunil Bhat, talks about the features and scope of weather based index insurance and how it helps the poor in dealing with disasters such as drought, heavy rains, cyclones, storms, typhoons, earthquakes etc.

The Curious Case of Missing Agents in Rural India

In order to ascertain the real presence of CSPs and their activity levels, MicroSave conducted a survey covering five districts of Uttar Pradesh and Bihar. According to official records, these districts have a total 1,141 CSPs. Of these, data could be found for 923 CSPs, and 862 could be visited. The findings from the survey are startling. Total “transaction ready” CSPs were present in only about 6.6% (194 against 2,932) of the villages. Further, only 117 villages had CSP available for transaction every day, implying that only 4% villages can really be considered to have proper CSP coverage. Until this changes, we can safely assume that neither Aadhaar-enabled benefit transfers nor financial inclusion will take off.