Archive for the ‘Analysis’ Category

How do we make a business case for an innovative concept given the data scarcity for the African mass market?

Anzetse Were writes some thoughtful points on the challenges facing private sector innovation in Kenya, and Africa. Two of her points caught my attention, in particular:

With regards to the private sector, an interesting point raised is that innovation targeting it must have a business case for adoption otherwise the innovation won’t be absorbed. Innovation must demonstrate that the short-term inconvenience of adoption will pay off in the long term.
We have a real problem with information asymmetry and data bias. [… ] strategies for market penetration and sharing cannot be rolled out since the lack of data means the private sector doesn’t know where the market sits.

While Anzetse has specifically focused on the interface between the private and the public sector with regards to innovation, the points she brings up are nevertheless a challenge for either or both parties.

Size and value of the market opportunity for an innovation when data is scarce

Investors in innovation for new and untapped markets need the numbers to make sense of the opportunity. A dollar value and estimated size of the market are among the conventional metrics used to provide evidence of a return on their investment. How substantial is it?

In the African context, the mass market where the volumes can be found tends to be heavily biased towards the informal sectors, and still for the most part based on cash transactions. Textbook approaches to sizing and valuing the market space fall short without accessible and relevant data.

A few years ago, we were faced with a similar challenge for Village Telco, a social enterprise launching an innovative ICT device for low cost voice and data communication. They had developed the Mesh Potato,  a device for providing low-cost telephony and Internet in areas where alternative access either doesn’t exist or is too expensive. It is a marriage of a low-cost wireless access point capable of running a mesh networking protocol with an Analog Telephony Adapter.

They were looking to enter the Kenyan market, with the notion that the cyber cafe industry would make the best target audience for their device. Their investors wanted to know the size and value of the market opportunity prior to launching the product in Kenya. Although this happened just over 6 years ago, Kenya had already made a name for itself as a forward looking mobile phone market unafraid of experimentation.

Our challenge was two-fold: We were to look at 2nd and 3rd tier towns, not just Nairobi and Mombasa. Village Telco was looking to connect the unconnected. And we had to estimate the size and value of the market opportunity for a sector – internet cafes – that was primarily cash based and informal, particularly given the rural and small town geography we were considering. There was little or no data available to even get a handle on the number of cyber cafes operating in Kenya.

Secondly, we had to get an idea of the price point at which the product would be acceptable to this target audience. Keep in mind that the device was wholly unknown – an innovation – and there was nothing comparable on the market.

A qualitative approach to quantitative estimation

Given that this was not a conventional research project, and time and resources were constrained to a market analysis, we designed a minimal viable market discovery phase that would permit us to gather enough insights directly from the cyber cafe operators in order to estimate the size and value, as well as recommendations for pricing and market entry.

In late 2011, Kenya’s administrative divisions were still the original provinces.

Based on population density and relative income demographics, as well as an ICT gap analysis of voice and data services – reports available through Kenyan government institutions – we planned an optimal route that maximized exposure to the types of locations Village Telco had specified whilst sampling cyber cafes across a range of infrastructure access and regional income. This coverage was completed in less than 3 weeks.

Surfacing trends through indepth open ended interviews

Where we invested our time and effort was in identifying entrepreneurial and innovative cyber cafe operators in the smaller towns and villages we visited. The vast majority of internet cafes are run as side businesses by the owners who might be white collar employees or civil servants, and often managed by employees. It was the cyber cafe owner operator who saw their business as a growth opportunity that we were seeking.They not only knew their market but had seen the opportunities to grow and expand their services.

They were able to give us an idea of the future of the cyber cafe business in their region, a rough estimate (few businesspeople are willing to openly share revenue data) of the scale of their business, and the trends in decline or growth of the types of services they offered.

Through the data gathered, we were able to estimate the high growth regions for internet cafe services – Nakuru town for instance had seen the number of cybers grow from 10 or 15 in 2007 to upwards of 50, primarily due the increase in tertiary education institutions. Kilifi, on the Coast, had seen a doubling when a local university campus opened.

At the same time, we were able to gauge the value of the opportunity space by using the proxy of the proportion of owner/operators to manager/employees – the former were more likely to be interested in the Mesh Potato than the latter.

Our route planning also provided evidence of the pathways for innovation diffusion, outwards in a hub and spoke model from the central hub of Nairobi’s business district where new electronic products landed from the manufacturing centers of Asia.

Sitting down face to face with the cafe owners and showing them the product and what it could do gave us the insight on pricing and market entry strategy. By the end of 5 weeks from start to finish, we were able to make a business case for innovation meant for a data scarce environment.

Innovation means breaking new ground

While the effort on the ground was very different from a conventional market analysis exercise due to the need to elicit information directly on the market and the product, the time and resources invested by the client were no different from an analysis based on secondary sources and accessible data flows.

The nature of the African mass market is such that pioneers entering the market will have to break new ground, not only with their products and services, but also their approach to analyzing and evaluating the business case for investment. It is not an impossible task and should not be considered a barrier to entry.

How informal financial services can lower the barriers to formal financial inclusion

Around 2 and a half years ago, I was on a short visit to Abidjan, the capital of Cote D’Ivoire as a guest of the African Development Bank. They were holding an innovation weekend for young women and men in the Francophone West African region who were interested in becoming entrepreneurs.

David O. Capo Chichi, who used to work back then for MTN, a major telco very kindly took me around the informal markets on his day off and we got to talking to market women about their financial management habits. One interesting behaviour linking the informal with the formal came to light.

An established spice seller told us she had a savings account at the bank, but accessing the bank’s services were a huge barrier – the opening times ate into her business hours and the long wait times meant loss of income from potential customers. At the same time, because she was dependent on cash income from daily sales, it was more convenient for her to put a portion of money aside on a daily basis. So what she was doing was paying a tontine collector for the service of showing up at her shop everyday and collecting her small amount of cash set aside for savings. He would hold it safely for her for a month and then she would take the total saved up amount back from him, take the day off work and go deposit it in her bank account. That was the only way she could have the flexibility and negotiability that budgeting on her irregular cash flow required and still access the benefits of a secure safe interest earning savings account at the bank.

Now today I came across this article describing a pilot program in Benin where the private susu (small small) or tontinier, such as that used by the lady in Cote D’Ivoire, have been formalized into a more secure and insured service for the same demographic of informal market women and traders. There’s even a digital component that updates the accounts via the mobile phone.

“The reality is that we can’t be everywhere, and the Susu collectors are near the population. We have to work with them and find the best business model to get them into the formal system.”

Now, this exact same model being piloted by the MFI in Benin may not apply in exactly the same way elsewhere, depending on the conditions prevalent in the operating environment, but its clear that the structures and systems in place at the formal institution can be made more flexible and negotiable – given a “human face” – by working together with the pre-existing informal financial services already in operation.

This behaviour also resembles that seen among the informal cross border traders at the Uganda/Kenya borderland. Teresia who sells clothes under a tree has established a trusted relationship with her mobile money agent. He shows up at closing time to help her transfer her cash into mPesa, thus securing it for her and saving her both time and effort through this personalized service. Though she said she had an account at the bank, it lies dormant, for the same reasons given by the spice seller in Abidjan – “Who can afford to close shop during the day to spend hours at the bank?”

Innovations aimed at increasing inclusion for financial services need not always contain a digital component for them to make a difference for the customer, and lower the barriers to adoption and usage. All it takes is a deeper understanding of the challenges and constraints of the end user in the context of their day to day life.

Why does the prepaid model work so well and what are the lessons for business model innovation?

Increasingly, employment is becoming ad hoc and flexible. The gig economy and the informal sector share a common characteristic of incomes which are irregular and unpredictable, unlike the timely wages characteristic of formal employment. Both budgeting and planning thus become a challenge when there’s no predictable paycheck to rely on. Expenses are managed against cash flows to minimize volatility, and payments with calender deadlines become a challenge in planning.

It is in this scenario that the prepaid or pay as you go model works so well for the customer, one of the reasons why its ubiquity across the developing world drives the growth of mobile phones. It puts control over timing and amount of money spent in the hands of the user, allowing them juggle voice and data purchases against available cash in hand.

Here are the lessons for business model innovation applicable for a plethora of products and services, drawn from our decade of research into the financial frameworks underlying the operating environment characterized by unpredictability and volatility, and the success of the prepaid model.


The prepaid model is flexible. There is no rigid requirement on the amount that can be spent, beyond the voucher values of each telcom operator, nor are there periodic calender based deadlines such as those in a monthly bill. In Nigeria, traders have been found to top up their phones multiple times a week or even the same day, yet purchasing the smallest denomination of vouchers. High frequency of small amounts is a purchasing pattern that resembles their own cash flow while trading in the informal market. They don’t want to tie up their liquidity in airtime in case cash on hand is required for business, yet their trade is clearly dependent on mobile communication hence the frequent recharges.

This flexibility built into the business model clearly puts control over timing and amounts spent in the hands of the end-user who must manage a volatile cash flow situation.


In addition to the daily or weekly fluctuations in cash flow experienced by gig economy workers or those active in the developing country informal sectors, there are larger variations in income level over the course of the natural year. Unlike the regularity of a monthly salary, irregular incomes rise during peak seasons, such as festivals and holidays, and plunge during low seasons. Developing country economies are more closely linked to the seasonality of agriculture, given the greater proportion of the population’s dependence on farming. Incomes can vary as much as 300% for instance, for tea farmers in western Kenya’s Kisii region. Climatic effects also have greater impact on cash flows, and the current drought in East Africa is expected to depress livestock prices in the coming half year. On the upside, seasonal peaks in consumer durable sales are predictable as the regional harvest timings are a known factor. North India’s post harvest season in late October/November kickstarts an orgy of consumer spending during the festivals and the weddings which take place during this period.

Business models designed to take expected seasonal changes into account can minimize the dropout rate of customers when their income changes.


One of the biggest challenges we have wrapping our heads around when considering more rural or cash intensive economies is that liquidity is not equivalent to wealth, or even purchasing power. While this factor can apply to anyone relying on multiple income streams from a variety of sources, I’ll use the example of a small farmer to explain its importance to the design of business models.

The homestead is managed like an investment portfolio, with different sources of income maturing over different durations of time over the course of the natural year. This is also why control over Timing – frequency, periodicity – of payments, such as possible in the prepaid model, is so critical for the success of payment plans. A smartphone might be purchased after the major harvest of the annual cash crop, but its the daily cash from the sale of milk that would be used for recharges (and other basic necessities). Similarly, a calf may be purchased to fatten against the following year’s school fees.


This leads directly to a factor more relevant to heavily informal economies where variance in systems and structures means transactions are more human centered, depending on face to face communication, trusted references, and mutual compacts rather than legal contracts to enforce agreements. Negotiability of your business model, and its close relation, reciprocity – “the give and take” – is an element missing from faceless institutions that seek to serve this demographic.

This is one reason many prefer to seek solutions outside of formal banking institutions, for example, as their opening hours might not suit the trader’s business hours. In Busia, Uganda, most women traders had established trusted relationships with a mobile money agent, many of whom would show up at the end of the work day to assist the trader in transferring the cash earning safely onto the digital wallet. And, unlike the bank, the telco’s prepaid model allows customers to “negotiate” when and how much they’ll pay within the constraints of far more flexible terms and conditions than most other models.

A farmer has “purchased” this solar panel after coming to an agreement with the shopkeeper. He will pay off the total, over time, as and when he has spare cash, and collect the panel when payment is complete. There is no interest charge. The shopkeeper has put the farmer’s name on the panel but will keep hold of the item.

The greater the span of control over timing and amounts, the greater the success of the payment plan

The prepaid model bridges the critical gap between the predictable formal structures of the large institution and the dynamic challenges of the informal. The bottomline is that the flexibility, negotiability, and reciprocity of the model are more important factors for its success than the conventional understanding of permitting micropayments in advance. Numerous consumer product marketers entering emerging markets experienced this challenge when their micropayment hire purchase models failed customers who might have to miss one or two week’s payments due to illness or other emergencies – their products were repossessed without any recourse to adjustment. Its the rigid calender schedule embedded in a payment plan that is often the barrier to a high ticket purchase than the actual price itself.

None of these factors are insurmountable with today’s technology, and the field for business model innovation for irregular income streams such as those in the gig economy or the informal sector is still wide open for disruption.

Disrupting Predictions: How Stereotypes Distort Expectations

This chart embodies some stereotypical thinking regarding the high growth opportunities now available in low income and lower middle income countries. Its from the just released World Development Report 2019’s concept note on the theme “The Changing Nature of Work”.

Where the cognitive dissonance lies is in the accompanying text which highlights the transformational capacity of digitization and its impact on the nature of work in developing countries. As this snippet shows, Kenya has been showcased as an example of such technology enabled change:Based on this, the chart’s positioning of jobs such as “mobile application developer”, “data technologist”, and even “cyber security consultant” should actually be further to the left, given that its the lower income nations where the majority of the future need will emerge from.

Even fashion designers are not spared, placed as they are in middle income countries. Lagos Fashion & Design Week has become the byword for up and coming fashion brands, sponsored heavily by the likes of Heineken. Kigali is another hotspot for fashion’s rapid growth, and the local brand “House of Tayo” reached the pinnacle of global visibility with their bespoke suit for Lupita Nyongo’s brother, worn for the Black Panther premiere.

The irony is that if this chart is used as is, without correlation to the transformations mentioned in the text, it will end up being the one thing that readers will notice when glancing through the final report. Diagrams and visuals catch our attention faster among reams of text.

Further, if these are the predictions being made, how much of the unquestioned assumptions relegate lower income nations to tourism hubs and farming? Drones are being deployed for healthcare in East Africa, and being tested for parcel delivery where transportation is scarce. Won’t drone operators and robotics engineers find jobs if these initiatives scale as planned? Its the developing countries that face greater logistics challenges, lacking the infrastructure of the developed.

There’s a strong case to be made for the redesign of this chart. It places an unfair burden on lower income and lower middle income countries, and implicitly relegates their future of work opportunities to the less skilled quadrant. Given the current and existing changes already underway, there’s a disruption waiting to happen if this is the chart that’s used for policy planning and analysis.

Connectivity, Communication, and Commerce: The 3 Cs of Africa’s Smartphone Led Future

Recent headlines touted the decline in marketshare being seen by smartphones on the African continent, and the concurrent increase in sales of basic devices. Yet a closer look shows that this shift might only be numerical due to the opening of new markets in heavily populated DR Congo and Ethiopia – first time buyers are likely to start with entry level phones.

In fact, role of smartphones in Africa is not only likely to grow and evolve over the coming 3 to 5 years but its very likely that it will be connectivity apps driving their adoption. We Are Social’s latest report shows Africa’s internet user numbers have been growing by over 20% year-on-year.

The 4th C – the Challenge of Unquestioned Assumptions and Great Expectations

With connectivity and communication, commerce was expected to take off but anyone tracking the headlines would notice the challenges faced by African e-commerce platforms. Some point fingers to connectivity as the issue, expecting to reap benefits from scale of penetration. Others point to high costs of data and devices, or challenges with completing the transaction online.

Looking at the patterns exposed by all the reports and the articles makes one wonder whether it’s the underlying assumptions and expectations that are the real problem. The untapped market is hyped out of proportion by each new entrant who rush in with their disruption to revolutionize the African consumer, only to rush back out again when the traction fails to succeed. This has been muddying the waters of what could have been a considered thoughtful opportunity to transform the social and economic landscape.

Yet its not all negative. If someone was to ask me about how connectivity and communication are driving commerce in the African context, I’d point to the plethora of informal trade in goods and services being conducted daily across social media platforms. Everyday there’s a new product or service launched with a tweet. Groups on Facebook encourage and support the entrepreneurial journey. Cryptocurrency trading is making Kenya famous as a first mover.

The difference in traction seems to be that which is self organized and organic vs that which is institutionalized and/or introduced from elsewhere. The external pressure to succeed in the same terms as that visible in the Silicon Valleys might actually be a greater barrier to the sustainable development of the African online community led commerce, increasing pressure on founders and startups with every negative headline. Maybe the lesson from the informal organic growth online is that might actually be a matter of throw the technology at them and see what emerges without lifting the lid every other second to check progress?

Maybe all that is needed is more locally relevant content, such as already being seen emerging from Nigerian and Kenyan tech blogs, rather than the imposition of metrics and heuristics from developed nation contexts.

Lessons for development from the demand driven investment strategies of the informal sector

This shopkeeper in Laare, Kenya provided me with deep insight on how investments in expensive inventory are managed in a heavily cash based economy. He runs a consumer electronics store stocking everything from solar panels, music systems, spare parts and batteries, through to mobile phones and accessories.

His purchasing decisions are based on visible consumer demand, he said, preferring to stock what he calls “fast moving items” that sell and keep the cash flowing than to risk tying up capital in something that might not sell. For instance, he pointed to a dusty 5W solar panel, this has been sitting here for a year since most customers in the area prefer buying 20W or larger.

In this context, “fast moving items” are not the same as the marketing term “Fast Moving Consumer Goods” or FMCG which refers to over the counter perishables and consumables like tea, shampoo, biscuits or soap. Instead, they refer to the product range that sells in the local market, and as my visits to electronics stores in different parts of Kenya back in 2012 quickly showed, each market had different price points and products which tended to be “fast moving”.

In a more economically challenged region, it was black and white 14″ TV sets, smaller solar panels and no name Chinese mobile phones, while in the wealthier region around Kilgoris as we see in the previous post, its flat screen Sony Bravias and very large solar panels that sell.

Local demand drives decisions, and thus business growth strategies and investments. Can this insight not also inform development strategies?

The Economist has just published this article on how fish farms are experiencing a boom in response to the growing demand for food from the big city:

The task of feeding that huge population has not been accomplished by the government, by charities or by foreign agricultural investors. It is the work of an army of ordinary Bangladeshis with an eye for making money. Mr Belton’s research shows that the number of fish-feed dealers in the main aquaculture areas more than doubled between 2004 and 2014. So did the number of feed mills and fish hatcheries. Mr Belton has found similar trends in Myanmar, where the fish farms are often larger than in Bangladesh, and in India.

As well as transforming landscapes in a large radius around Dhaka, the fish boom has changed many people’s lives. Aquaculture requires about twice as much labour per acre as rice farming, and the demand is year-round. Many labourers who used to be paid by the day are now hired for months at a time. Seasonal hunger, which is a feature of life in some rice-farming regions of Bangladesh, is rarer in the watery districts. People are eating more protein. Mohammad Shafiqul Islam, a feed dealer, points to another advantage. Because food is now so cheap in the cities, migrant workers are able to send more money back to their families in the villages.

I believe this element of assessing local or regionally accessible demand for a product or commodity before investment is often missing even from the private sector influenced “making markets work” philosophy now prevalent in development strategies. Too often, the “market” is framed as an international one, and an e-commerce platform devised as the bridging solution. Local intermediaries are demonized as “brokers out to squeeze profits at the farm gate” without once considering their role as infomediaries of supply and demand. The very information networks that provide the shopkeeper with guidance on what would sell and what to order are often erased and replaced with an app. Little or no attention is paid to existing consumer demand nor any attempt to link to the existing ecosystem. The informal becomes invisible.

How many of these pilots fail to sustain themselves once the project’s funding cycle ends?

East African Imports in rural Rwanda?

This highway ‘storefront’ in rural Rwanda made me wonder if the trader had imported his goods rather than purchased them locally. And, further, if they were imports from Kenya.

First, unlike the majority of such roadside shops, he is dealing with multiple products – while all are related to home decor, they are made of vastly different materials – wood, ceramic, plastic flowers. This is so rare that one can say he’s one of the handful such displays I’ve seen. This gives rise to the conjecture that he’s spread his inventory investment across a price range – from a full double bed to a bunch of flowers – to cater to the range of customer expectations on the road. And, that in itself is a sign that he’s purchased them from different dealers as people tend to specialize in product lines they trade in.

Second, it resembles the product lines along Ngong Road in Nairobi far more than the what I saw being locally produced. That made me wonder if these had been imported across the borders – which also underlines the careful display and the choice of the highway to capture the attention of wider variety of customers with differing wallet sizes than just his hometown market.

Today, 5 years after that trip through Rwanda, I’ll never know, but I can wonder out loud, can’t I?

Trading economics: a new theoretical system

From the Financial Times, a snippet from a guest post by Wang Zhenying, director-general of the research and statistics department at the PBoC’s Shanghai head office and vice chairman of the Shanghai Financial Studies Association, summarising the arguments in his new Chinese-language textbook on economics.

“Trading economics” is one new theory emerging against this backdrop. Mainstream economics deduces the macro whole by extrapolating from the behavior of individual “representative agents”. Trading economics replaces this with a systematic and comprehensive analysis approach. It stresses that in an interconnected world, the interaction between trading subjects is the fundamental driving force behind the operation, development, and evolution of economic systems.

Trading economics first analyses the actions of trading subjects, then builds a dynamic trading network among trading subjects through trading relations, and finally reveals the operational rules of the economic system. The rules could be examined from two perspectives: short-term and long-term. The business cycle and price changes are examined in the short-term perspective. The long-term perspective would focus on the rules of economic evolution as well as changes in technology, knowledge, system, and network.

Throughout the history of economics, trading economics is the first and foremost theory to incorporate all economic phenomena into an all-encompassing logical system. It changes the long-standing scenario in the economics field, that is, the macro was separated from the micro, and the short-term from the long-term. Trading economics is a revolution of mainstream economic theories and is bound to exert a great and profound impact on all areas, including economic theoretical research and practical application.


NB: I thoroughly enjoyed reading this summary and expect to contextualize future research with some of the theoretical frameworks as presented here.



Household energy consumption behaviour in East Africa: Lighting & Conclusion (3 of 3 Parts)


Jua Kali Kerosene Lamp, Kenya

The following is extracted from a six month study during 2012 on household energy consumption behaviour in rural Kenya and Rwanda among the lower income demographic, that led to an understanding of some of barriers hampering the sales of client’s solar products in this market. This 3rd and final part will focus on fuel usage and consumption behaviours for lighting. Users sampled for this study were selected based on varying fuel consumption patterns, ranging from a single homestead to a rural hotel open from dawn to 1am offering solar powered football on television.

Fuel Choice and Consumption Behaviour is Influenced by Duration and Timing of the Need

Kerosene is the primary source of fuel for lighting for those who live without access to electricity, regardless of whether its on their shamba, or in a building in town. Not only is the reach of grid access limited to a small percentage of rural Kenyans but the cost of the final connection to the dwelling is also a barrier for many. Due to the nature of this project’s focus, the majority of homes visited were without a solar home system.

Hurricane lanterns are the most popular lighting devices among kerosene users, as the glass covering the lamp protects the flame as well as contains the smell and smoke. With prices as low as 250Kes, everyone has at least one, if not more at home and the number maintained depends on size of the family, number of buildings on the homestead and the fluctuating ability to purchase fuel.

Pressure lamps can cost ten times as much and consume far more fuel although they offer a brighter light – they were not seen in Makueni households and the only regular user was the furniture maker who restricted its use to times of high productivity during the Christmas season. In Kisii, they are owned by members of the congregation who use them once a month for religious functions and the fuel is provided by the church. Gregory the schoolteacher called them “gas guzzlers” whose bright light was not worth either the high running cost or price of the device itself.

Everyone owns a few small tin lamps but they were referred to as something discarded during the upwardly mobile climb to a hurricane lantern – “Oh, we must have a few lying about somewhere in a dusty corner” said one wife while Mama Grace only used it in the confines of the kitchen building where the open flame, with its attendant smoke would make no difference. However, due to their small size, they require very small amounts of kerosene and tend to be kept as a backup for times of need when the fuel supply runs low or to be used by the aged, such as Kilonzi’s grandmother who finds the hurricane lantern difficult to maintain.

In addition to kerosene fuelled lamps and lanterns, every home owned at least one flashlight of some sort, whether powered by dry cell batteries, grid rechargeable or disposable for what they referred to as “emergencies or needing to go outside at night”. By emergency, they meant that this form of light was faster and easier to turn for sudden need than the more complicated task of lighting a kerosene lamp, plus it could be used in wind or rain. For many, this item received first priority if resources such as batteries or cash for charging were limited.

What stood out across the board was that everyone knew, almost to the minute in some cases, exactly when they used their light source. This behaviour was evident regardless of the household’s energy source including if it was solar power and thus “free”. Answers would range in specificity from estimates “around 7pm to maybe 10pm, sometimes later” to on the dot timings “from 5.45am to 6.30am in the morning”.

“I only use it for children to study” Mama John who scrimped and saved for solar

This gives rise to the conjecture that the fundamental observation in household financial behaviour of being able to control time (duration, frequency, periodicity) and money(whether prepaid source of fuel like kerosene or postpaid like electricity), is an ingrained habit even after upward mobility has removed the need for such stringent conservation. SHS do not require the same frugality daily use and cost and this can be seen in increased use of entertainment appliances like televisions and radios but lights still follow this pattern. However, it can also be said that rural life is slow to change in response to the introduction of modern conveniences and this may also be a significant factor.

The dry cell battery

Similar patterns of duration and accuracy of timing were also observed in choice and purchase of dry cell batteries, particularly for the radio. People knew which specific programs they wanted to listen to thus the
time and duration of their use of the radio. Everyone wanted to be able to listen to the radio more often but conserved battery life for as long as possible. Many even acknowledged that expensive brands like Eveready which cost 65Kes a pair lasted three times as long as the cheaper Chinese Lion brand costing only 30kes the pair but their irregular cash flows acted as a barrier to purchase dependant as they were on what cash was available on hand (or in pocket) at time of need.

Concluding Remarks

Consumers with limited incomes prioritize household energy and fuel spending according to importance for survival. Food and thus cooking come first followed by light. Everything else depends on the criticality of need against funds available. For example, Muthoka, who was unemployed and living on his small subsistence farm deep in the interior away from a market town, said that if he had to choose between 20Kes worth of kerosene or charging his mobile phone, he would choose kerosene first for lighting was more important to him than his mobile.

Similarly, Gregory the schoolteacher, put batteries for the emergency flashlight as more important than for playing the radio. The question becomes “What can we do without?” and only one of the many respondents of the more general household survey prioritized her mobile phone over light but she was a business woman whose income depended on her being available for calls.

The caveat here is that these answers are not absolutes and while most people will say that the phone is less important, there will be times of need when charging the phone or topping up airtime will be critical.

However, unlike kerosene or dry cell batteries for light, one can always borrow a friend or neighbour’s phone for an emergency phone call. These are the kinds of trade-offs people make when living on the edge on limited and irregular cash flows.

Pricing is rarely the problem

These insights on people’s household energy management and purchasing patterns, based as they are on the limitations and timing of their income sources are what led to the conclusion that the actual price itself was not the barrier to sales but instead it was a combination of factors starting with the choice of packaging and the subsequent pricing and sales strategy.


Part One: Introduction to Household Energy Consumption Behaviour Study in East Africa (2012)
Part Two: Cooking

Introduction to rural household energy consumption behaviour in East Africa (1 of 3 parts)

The following is extracted from a six month study during 2012 on household energy consumption behaviour in rural Kenya and Rwanda among the lower income demographic, that led to an understanding of some of barriers hampering the sales of client’s solar products in this market. This first part is an overview of household financial management in conditions irregular and unpredictable income streams from a variety of sources. The 2nd and 3rd part will focus on fuel usage and consumption behaviours for cooking and for lighting separately. Users sampled for this study were selected based on varying fuel consumption patterns, ranging from a single homestead to a rural hotel catering for more than 12 hours a day.

Aspirational ownership and tangible evidence of savings in prepaid purchase model of solar panel, as seen in Chuka, Kenya (Photo: Niti Bhan, February 2012)

Rural Kenyans are not very different from rural Filipinos or Malawians or Indians when it comes to the way they manage their daily household expenses. Similarities in decision making, in purchasing patterns and in observed consumer behaviour, all stem from the same underlying need to plan and manage on irregular incomes from a variety of multiple sources in harsh environments of scarcity and uncertainty. The underlying driver is always to stretch the limited shilling, rupee or peso to the maximum while keeping one’s head above water.

With the exception of the salaried schoolteacher, who managed on fixed amounts of cash paid predictably on a calender schedule, the rest juggled an irregular cash flow against required expenses, attempting to minimize the differences over calender time and as a planning mechanism across the natural year’s seasons of abundance and scarcity. Even cash croppers like Mama Grace, who received end month payments from the tea factory, coped with the significant difference in the quality and quantity of tea harvested during the wet and the dry seasons with a variance of as much as 300% between high and low payments.

Rural homesteads manage their household finances rather like a “portfolio of investments” that mature over varying times such as cow’s milk which can be sold daily for cash, while a chicken takes less time than a field of maize to be ready for harvest and sale. Thus decisions are made based on timing of the expense and the choice of ‘investment’ to liquidate on what was ‘ready’ as well as the amount of cash required. For example, in Kilala livestock market it is a known fact that livestock prices always drop in January as its time for first term school fees and everybody needs to sell to raise the necessary cash. Similarly, major purchases or cash outlays are planned for known times of abundance such as right after the seasonal harvest.

Unlike those on a fixed salary who are able to plan ahead, those on irregular incomes need greater control and flexibility over the timing – that is the frequency and the periodicity; and well the amount – in cash or kind; of their cash flow, as a planning mechanism for financial management. In fact, the greater the span of control the customer has over their time and money, as articulated above, the greater the success of a business model or payment plan. This is why prepaid airtime is the preferred model for 96% of the African continent’s 700 million mobile phone users and also why kerosene has been so hard to dislodge. It can be purchased by cash amount (say 40 Kes worth) or quantity (half a litre or 5 litres) on demand or in bulk, and then frugally used for as long as possible, allowing consumers control over their “time” and “money” with great flexibility.

Observations on household fuel and energy use reflect these purchasing patterns and consumer behaviour. Cooking and then lighting are the most important needs, and the two elements of time and money as discussed above, show up in the form of duration and location. While duration of use has a direct relationship to the amount of time and money required, location has a critical bearing on behaviour in rural Kenya as will be seen in forthcoming posts.


Part One: Introduction to Household Energy Consumption Behaviour Study in East Africa (2012)
Part Two: Cooking
Part Three: Lighting & Concluding Remarks