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PMJDY: Milestones Reached, Yet Miles to Go – Customer Side Story Part 1

Pradhan Mantri Jan Dhan Yojana (PMJDY) is now the world’s most successful financial inclusion scheme. The scheme envisages universal access to banking facilities with at least one bank account for every household, in addition to access to credit, insurance, and pension facilities. As of March 15, 2016, the scheme has mobilised approximately INR 335 billion (US$ 4.9 billion) through 210 million new bank accounts ― a significant achievement, considering that the scheme was launched on August 28, 2014.

MicroSave conducted three rounds of PMJDY assessments (waves I, II and III) from October 2014 to December 2015. The key aim of the three assessments was to analyse and assess the impact of, and challenges associated with, PMJDY from the perspective of beneficiaries and channel partners (specifically Bank Mitrs (BMs) or agents). The study was conducted with support from the Bill & Melinda Gates Foundation (BMGF) and the results were shared with the Department of Financial Services, Ministry of Finance, Government of India.

This blog highlights the demand-side findings of the final round of PMJDY assessment (Wave III), conducted in December 2015. Wave III incorporated a nationally representative survey, conducted with 1,627 BMs and 4,859 PMJDY account holders, in 42 districts across 17 states and one Union Territory.

1Acceptance of PMJDY scheme has increased

Pinki, a PMJDY customer in Khadoli village of Dadra and Nagar Haveli, summarised: “Jan means poor people and dhan means money. 

Therefore, jan-dhan means wealth of the poor”Pinki summarises the top-of-the-mind perception customers have about PMJDY scheme. PMJDY is positioned in customers’ minds as a useful government scheme that provides low-cost insurance facility and an opportunity to open a bank account for free.

PMJDY has led to universalisation of accounts and provided easily accessible banking to customers in their neighbourhood. Most PMJDY customers (78%) use BM to make their regular financial transactions. A BM in Ghazipur, Uttar Pradesh, said, “The number of bank accounts have increased from 15 to 500 in the village. Villagers have understood banking.”

80% of PMJDY customers who regularly transact, ranked Bank Mitr agents as their first preference to conduct banking transactions. The main reasons for this are: proximity of the BM location to their home and work place; quick and convenient processes; and availability of BMs beyond bank working hours.[1]

PMJDY scheme has also led to inclusion of women in the financial mainstream. For every three PMJDY customers who opened a bank account for the first time,[2] one was a female customer. “900 accounts out of 1,540 are of females. If it is convenient, we collect deposits from their houses”, said a BM in Bhadrak, Odisha

2. Saving behaviour has been induced among rural customers

There is significant shift in savings behaviour of PMJDY customers; the percentage of those who do not save has come down from 12% in Wave II to 8% in Wave III . Similarly, the number of customers who save at home has gone down (21% in Wave II to 17% in Wave III). These customers have started to use their own savings account to save (up from 77% in Wave II to 86% in Wave III). Additionally, there is a small increment in number of customer transactions per month from last wave of PMJDY survey. A total of 65% of customers transact at least once in a month at a BM location, compared to 58% in Wave II. A recent study in rural households of Karnataka highlights that PMJDY has led to significant increase in total household savings and savings in bank accounts.

“Non-skilled labourers have greatly benefited. They save out of their daily wage income” – BM, Ghazipur, U.P.

3. Product uptake is not only limited to savings 

PMJDY has helped improve uptake of financial products; customers have enthusiastically enrolled for PMJDY life and accident insurance policies due to the value proposition that they offer and the low cost. These schemes are popularly known as “12 aur 330 rupaya wala bima” (i.e., insurance for INR 12 (PMSBY) and INR 330 (PMJJBY))

By paying a nominal premium of INR 12 (US$ 0.18) per person per year, PMJDY account holders can avail of an accidental insurance scheme under the Pradhan Mantri Suraksha Bima Yojana (PMSBY) with a maximum insurance cover of INR 200,000 (US$ 3,077) in case of accidental death or permanent disability. For a premium of INR 330 (US$ 5.1), a PMJDY account holder can avail life insurance cover of INR 200,000 (US$ 3,077) under the Pradhan Mantri Jeevan Jyoti Bima Yojana (PMJJBY). Another interesting product available for Jan Dhan account holders is Atal Pension Yojana (APY), specially designed to cater to pension needs of the unorganised sector. See Jansuraksha: India’s New Tryst with Mass Insurance for more details of these schemes.

The number of customers who have either enrolled for insurance or pension scheme has increased to 56% from 43% in Wave II. A PMJDY customer from Sonitpur district of Assam said “I am fine now but that may not be the case later. INR 50 is spent on tea and snacks, so spending INR 330 for such a nice insurance facility is not a problem.” The uptake of accident insurance scheme (60%) among surveyed PMJDY customers is higher than for life insurance (49%) and pension scheme (6%).

Life insurance scheme is found to be popular among female customers, as women feel that there are less likely to be involved in accidents as compared to male members. On the other hand, pension scheme has been popular among literate and relatively higher-income customers. Low-income customers find this scheme costlier (INR 504 or US$ 7.52). They also find it burdensome to make regular monthly contribution over a long period. Further, customers who are receiving old age pension under National Social Assistance Programme (NSAP) do not want to pay for another pension scheme.

For more details on the assessments please visit our website.

[1] Multiple responses received from customers for this question

[2] 3,273 out of a total 4,859 PMJDY customers interviewed have PMJDY as first and only account

[3] Survey results of PMJDY Wave-III are not strictly-speaking statistically comparable with PMJDY Wave-I and II surveys due to differences in sample frames. The comparisons presented in the blog are for the purpose of convenience and are indicative in nature.

Interventions to Strengthen PMJDY Scheme

Pradhan Mantri Jan Dhan Yojana (PMJDY) is now the world’s most successful financial inclusion scheme to provide access to savings accounts, credit, remittance, insurance and pensions, to the financially excluded of India. MicroSave conducted three rounds of assessments of PMJDY scheme between October 2014 and December 2015. The detailed analysis of data on Bank Mitrs (BMs) and PMJDY customers revealed bottlenecks prevalent in PMJDY scheme at both policy and operational levels. This IFN presents key policy and operational interventions that need to be addressed to improve the overall scheme effectiveness, enhance the usage of PMJDY accounts and improve the sustainability of the BM channel.

Agent Dormancy: Impact on Customers

Agent dormancy is a cause of concern for financial inclusion. MicroSave recently conducted research to understand rural customers’ perception of dormancy, the challenges faced by them after an agent goes dormant and their coping mechanisms. The research was carried out in 12 districts across four states of India. This Note analyses the impact of agent dormancy on the financial behaviour of customers. Agent dormancy results in many negative impacts on the customers such as: customer account dormancy, inaccessibility of savings, challenges associated in reaching the bank branch and, as a result, a behavioural shift towards cash.

The next IFN – Agent Dormancy: Reasons and Remedial Measures- addresses the reasons for agent dormancy and the ways to address this issue.

Democratising Financial Services

Sheetal, a 41 year-old widow, is a vegetable hawker and lives by herself in Mumbai. She wanted to expand her business by adding more stock and buying a new wheel-cart. She has a bank account, opened under the Prime Minister’s Jan Dhan Yojana. She could not avail credit from her bank for lack of any collateral or transaction history. Indeed, she is not aware of the importance of transacting regularly through her account. She has, however, been remitting money through a Suvidhaa agent (a small grocery store owner) to her mother for the education of her daughters, studying in her native village. The agent recently informed her of the possibility of availing loan from Suvidhaa (and Axis Bank) and she decided to avail it. The agent checked her eligibility and agreed to her request within an hour. She walked out of the store with the loan disbursed on her pre-paid card account. The next day, she withdrew about a half of the amount at a nearby ATM, to buy more vegetables to sell. She plans to buy a new cart soon, by withdrawing additional cash from the same account. Sadly, very few of the poor like Sheetal have an opportunity or the benefit of getting credit from banks to meet their personal or business needs.

As Nandan Nilekani puts it, “democratising credit”, to meet the needs of the productive sectors, as well as the marginalised and the poorer sections of the society, was amongst the original objectives of nationalising 14 banks in 1969. After 47 years, the reality is that traditional banks still only serve a small number of large borrowers, leading to what the economic survey for 2016-17 terms as “twin balance sheet problem”.

By providing relatively easy access to micro credit to over 28 million women clients, microfinance institutions play a vital role in partially democratising credit. Nevertheless, there is significant unfulfilled demand that is often met by informal sector moneylenders at exorbitant rates.

Meanwhile, Aadhaar has been enabling a silent revolution. To quote Nandan, “India has a unique opportunity to create a new and alternative credit infrastructure that can provide easy access to credit for millions of businesses and individuals, arising from the convergence of Aadhaar’s recent legislative legitimacy with regulatory innovation, technology and digitisation.”

(Source: iSpirt)

In addition to Aadhaar, the India Stack is likely to transform payments, financial services and consumer protection in India. The India Stack has four layers. The foundation  presence-less layer is Aadhaar and its extension in the form of JAM trinity (Jan Dhan will 213 million accounts, Aadhaar that reaches 97% of the adults; and mobile with over 1 billion registered users and over 300 million smartphones). The paperless layer will leverage digital identity (e.g. eKYC, eSignatures) and a repository for digital documents (DigiLocker) for storage, sharing and other purposes.

The cashless layer is a range of systems and platforms that can enable seamless and low cost digital transactions for all segments of population. Aadhaar-Enabled Payments System (AEPS)Aadhaar Payments Bridge (APB) System and Immediate Payment Service (IMPS) are already handling over a 100 million transactions a month, with value exceeding INR 200 billion (as of February 2016). The recently introduced Unified Payments Interface (UPI) aims at democratising payments and enabling interoperability across a wide range of payment instruments, not just bank accounts. Bharat Bill Payments Service (BBPS) will enable utility bill payments for the mass market. The consent layer is on the lines of the OpenPDS (open personal data store) developed by Massachusetts Institute of Technology. The consent layer will give people access to a store for all their personal data; and to which they can allow selective access to others. This will ensure data privacy, reduce consumer fraud, enhance consumer protection and allow users to build a repository of their digital footprints to enable financial service providers to make informed decisions on products for them.

Innovators and early adopter service providers are leveraging the building blocks of the India Stack that are already available, to deliver innovative financial products and services. Suvidhaa, a financial service provider for the mass market, in collaboration with Axis Bank, was amongst the first to adopt e-KYC and roll it out across its retail points. Building on this, Suvidhaa introduced another innovative product ‘Nano Credit’ for mass-market consumers and small businesses that regularly transact at Suvidhaa’s retail outlets[1]. It is a term loan for a period of 18 months and with a ticket size of US$ 225. The interest rate charged is 22% per annum, with plans to lower it further. Nearly two-thirds of the borrowers so far have taken the loan for business purposes. The table below compares the typical ticket size, interest/fee rates charged and the common purpose for the loans.

Suvidhaa and Axis Bank are able to offer loan ticket sizes comparable to the microfinance sector, but at lower rates and with much quicker disbursement. Moreover, in the main, the loans are being availed of by customers who do not have access to credit from other sources, including from microfinance institutions. When benchmarked against global MFIs and the much lauded M-Shwari, the rates, ticket size, and processing time are (in the main) significantly better.

The factors that drive Suvidhaa’s superior offering are sophisticated, rapid credit scoring of applicants using a combination of a scoring algorithm with over 85 parameters (such as nature, frequency and ticket size of transactions; account balances; sending and receiving locations; sending agent coordinates) analysed from a financial transaction history of at least a year; e-KYC for customers; rapid appraisal by the bank team; credit bureau checks and digital disbursement through fully interoperable prepaid cards.

Going forward, Suvidhaa plans to leverage e-sign for customer consent and eliminate the process of authorisation with wet signatures. This will reduce the processing time by 15 minutes and enhance the convenience for clients even further. Efforts are underway to link directly with credit bureaus in India, which would allow Suvidhaa to then offer instant processing of loans for its customers.

In the three months of pilot to date, Suvidhaa has processed over a 1,000 loans and not one has arrears. All borrowers are called within two days of taking the loan to remind them of their obligations, that their loan is registered with credit bureaus and the implications of any default. Seven days before the monthly instalment is due, the system sends details of the amount due to the agent who originated the loan (and therefore receives commission on the basis of the borrower’s monthly repayment). This report encourages and helps agents remind customers that instalments will be automatically swept from their savings account, and thus it is important to ensure funds are available.

Suvidhaa and Axis bank are so pleased with the results of the pilot-test that they are already planning to scale-up the lending operations to 100,000 borrowers within a year, with a significantly larger roll-out, including into smaller towns and rural areas to follow thereafter. The overdraft variant, too, is all set to be launched and larger, business loans for the top 15% of Suvidhaa customers, who typically already have an e-KYC-enabled account. With 35 million customers, the majority of which have no other “digital footprint” beyond their transaction history with Suvidhaa, the organisation is well poised to leverage technology to democratise credit on a huge scale.

[1] People like Sheetal often do not have any digital footprints for lenders to be able to assess and evaluate the credit worthiness.

Delivering Quality in Financial Services – Redefining Customer Service

Let’s face it: we’ve all had problems with our bank or financial service provider; there have been times when we’ve sat across from a Customer Service Officer (CSO) and been unhappy about the answers we’ve been given. A few years ago, this very challenge led my colleagues and myself to think that there was a fundamental problem with how financial institutions respond to service issues – whilst staff are trained to respond with an appropriate attitude to customers, they are often incapable of addressing the underlying problem. Naturally, this leads to the problem reoccurring time after time. The fundamental challenge is not to respond nicely to customers – but to fix the underlying issue.

A decade has passed, and we’ve worked with as many as 20 financial institutions examining how they provide services to their customers, through an intensive workshop focused on management and staff perceptions of service delivery at the customer level. Our approach examines all aspects of service delivery, organised by the 8 Ps which are mnemonic for financial marketing: namely, People, Process, Price, Product, Promotion, Positioning, Place, and Physical Evidence. The workshop records the majority of service issues that workshop participants know occur frequently or that have significant impact. The difference is that with the issues appropriately collated, a strategy can be developed to resolve multiple service failings through a range of tailored actions.

Results can be significant! In one institution, the findings assisted with strategy improvements, which turned a significant loss to a significant profit in a single year. In a second bank, the findings contributed to changes in products and product strategies that significantly increased product usage and institutional profitability. In a third bank, the findings are informing and prioritising an ongoing process of change designed to deliver sustained improvements in service delivery.

The irony is how fast this process of discovery can be – the workshop and analysis takes a little more than a week, from start to finish.

So what are some of the highlights from our experience?

i. People: Most service issues are not created by the CSOs, and, as such, they do not have the ability to resolve many issues unassisted. To be effective, therefore, branch staff need to be able to categorise the issue and refer it to the most relevant person as efficiently and effectively as possible. Identified issues need to be addressed individually and. more importantly. Systemically, to ensure as far as possible that the identified issue does not recur.

Internal customer service: If external customer service is poor, the same can be said for the internal customer with slow service between departments – between operations and credit, between credit and legal, between operations and alternative business channels. Service Level Agreements are usually in place but they are simply not monitored and enforced.

Head office as an island: In institutions which truly seek to serve customers, they have advanced metrics for monitoring service, which they then match with the expectation that the senior management team actually visits branches. Mystery shopping is used to assess levels of performance. This level of interaction creates and reinforces a customer service culture. However, the reverse is often the case, with a gulf between head office and the branches.

Induction and training: Many financial institutions in Africa have a firm belief in the value of on-the-job training. No doubt this can be very cost effective, but it is unlikely to be effective unless the existing staff know what they are doing! For effective staff induction, training often needs to be increased, and institutions need to look more carefully at how they spend their scarce training budgets.

ii. Processes: Staff members usually follow a well-defined process, but what if the process itself is flawed, or on other occasions, new staff members do not know the processes they are supposed to follow? If a financial institution fails to regularly update and publicise its new procedures effectively – and then enforce process compliance, then many service issues will result. When Equity Bank worked on its procedures as long ago as 2003, and enforced process compliance – the income raised from ensuring process compliance on charging fees more than paid for the compliance function!

iii. Products: Products are an area of frequent confusion. It is hardly a surprise that members of staff who are not familiar with a new product or service are unable to sell effectively, or a product which has simply been copied from a competitor into a new context, fails to be taken up. Often, a poor product development approach is at fault, and the financial institution needs fewer products that respond well to market needs, than numerous individual products and services that can respond to every conceivable need.

iv. Pricing: Product pricing generally confuses customers. Our work clearly shows that there are pricing principles that should be adhered to; namely, transparency, fairness, and consistency. Pricing which comes up for criticism tends to break one of these principles. Every institution has examples of these: seemingly arbitrary lawyers’ fees, fees charged differently between branches in the same bank, and manually raised fees. Transaction-based pricing is often perceived to be fairer than ledger fees. Banking systems come in for criticism, too, for incorrect interest calculations or even for continuing to charge fees once loans have been completely discharged!

v. Promotion: If staff members are confused about products and services, then promotion and strategies around promotion are destined to under-deliver. Particular care needs to be taken not to over-promise and under-deliver. Of concern in mass retail financial services, particularly in developing countries, is the nexus between the head office marketing function (where marketing is envisioned) and the branches where customer-based marketing occurs. Branch-based marketing, developed locally, but supported by head office marketing departments, alongside centralised promotion initiatives, can significantly reinforce marketing effectiveness. The branch manager’s role is hugely important, both in conducting marketing to high net worth customers, and in conducting one-to-many marketing as well as in coordinating the marketing efforts of branch staff. However, our experience is that branch managers in our clients are rarely appointed for their business development or marketing skills, so they need help in the transition to a broader branch management role.

vi. Positioning: Many institutions are misaligned ― where the market positions the institution in a certain way, and the institution is driving it in another! A real-life example of this would arguably be K-Rep Bank in Kenya, which a few years ago was positioned by the market as a microfinance bank, and yet was spending significantly trying to move into corporate banking with limited success. Typically, positions evolve gradually and require coordinated brand building from the institution. Misalignment, whilst common, has a hugely detrimental impact on a financial institution, as it builds in non-delivery to customer expectations by design!

vii. Place: To be effective at serving customers, all channels should work! Systems should be stable, downtime should be minimised. Branches should be effectively used to communicate to customers and be well organised. Care should be given to optimise branches for peak customer loads. However, the reality is often different, with under-investment ― particularly in rural branches; limited, if any, communication material; systems which fail frequently; and branches which are poorly organised or inappropriately staffed.

viii. Physical Evidence:  A financial institution sells intangible products ― we can’t touch financial services! Therefore, the physical collaterals which accompany the financial service need to provide customers with the assurance that they will be receiving quality service. Standards are important, yet frequently not set, or not kept – standards in clothing, in brochures, in use of language, in application of the brand, in infrastructure.

Once an institution has a more complete understanding of how it appears to its customers, that’s when the real fun begins. Driving forward the volume of customer-focused changes required to drive service excellence is an institution-wide, never-ending task. However, there is a huge and significant advantage of customer-focused change. It’s highly visible. It drives goodwill and builds the brand. It is, of itself, a cost-effective marketing approach.

This blog is titled, “Delivering Quality in Financial Services – Redefining Customer Service”. Financial institutions must take control of the quality of their financial services; to resolve issues permanently and not to rely upon explaining issues away!

Guiding Financial Institution Strategy: Working on Small Data

There is a worldwide movement towards the use of Big Data[1] across many industries, including financial services. Many financial institutions in the South now have economists reporting to the Board, and a select few, including Equity Bank and Kenya Commercial Bank, have Chief Information Officers. Data warehousing is a common terminology, even if evident in few institutions; Fintech and technology-enabled services are current buzz phrases.

But, and this is a big BUT …

Despite this, it is remarkable how little use is being made of ‘small data’ ― the high level information that is directly available on a financial institution’s customer base, from the banking system itself.  Let me give some examples.

A few years ago, a financial institution in East Africa had installed ATMs and was puzzled at why the machines were not being widely used. MicroSave asked the institution to compile basic data on usage and customer base. The data showed that of the institution’s customers, the vast majority were using the institution to repay loans, and, in fact, less than 10 per cent of the customer base was transacting regularly on their current or savings accounts or, indeed, maintained a balance to enable them to withdraw regularly. At the time, the institution wanted to move towards a large-scale advertising campaign, and our advice was simply to give cards to customers who maintained funds and/or transacted on their accounts, initially; and to follow up with targeted marketing campaigns at a later stage.

Whilst, in this case, it took some time to gather the data, it took just a few minutes to detect and then validate the patterns being shown in the data.

Shortly thereafter, another financial institution was preparing a strategy to significantly expand its services and was considering its delivery channel strategy, using a combination of branch and alternative channels. However, MicroSave’s data analysis showed that the institution had significant levels of dormancy across its network, but that it had a small, but very important, customer segment, which transacted regularly and maintained value in the bank. The initial strategy was focused on a mass market approach; however, data quickly showed that refining the value proposition for the small, minority of customers would probably provide quicker returns.

In a third example, a commercial bank was considering the case for major changes in its product strategy. It called in MicroSave for advice. Again we asked for data from the banking system. Data was prepared on product usage, dormancy levels, channel usage, and customer balances. The data showed that, whilst the institution was large and valued, it had growing dormancy, and some of its products and services were struggling to gain acceptance. The data revealed a need for more in-depth understanding: this led directly to targeted customer based research, which further demonstrated the need for product refinement. Core deposit liability products were refined and re-launched. Partly as a result of these strategic changes, within two years, the commercial bank was reporting record profitability and growth.

There are a number of key lessons in the examples above:

1. Simple data and trend analysis across a small range of indicators is sufficient to identify where to look, but analysing ‘small data’ is of itself, often, not enough. In the last case decisions were taken as a result of ‘small data’ to launch a more in-depth study, and it was this more in-depth study which led to the subsequent decisions on products and product delivery, which were to double profitability. However, it was the small data that helped to focus the research and take key decisions.

2. Many financial institutions are not using their own data to inform their strategic decisions. This remarkable observation means that even some large commercial banks are planning in a relative vacuum. With insufficient data, senior management teams in these institutions typically plan on the basis of their own perceptions about the institution and its client base, rather than an objective reality.  This approach can result in confusion, misdirection and frequent changes of course – as perceptions change.

3. Significant expenditure can often be avoided; or better targeted, simply by trying to understand an institution and its market before taking key strategic decisions. Periodic system-based segmentation analysis should be conducted by every financial institution.

[1] Big Data is a term for data sets that are so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharingstorage, transfer,  visualizationquerying and information privacy. The term often refers simply to the use of predictive analytics or certain other advanced methods to extract value from data, and seldom to a particular size of data set. Source: Wikipedia.