Tuesday, November 24, 2009
Copyright Alistair Davidson, 2009. All rights reserved. Alistair Davidson is a strategic consultant with extensive experience in developing budgeting, strategic planning and business intelligence systems. He is a contributing editor to Strategy and Leadership magazine, author of three books on strategy and technology. His career includes developing numerous software planning systems and tools, in addition to facilitating business and IT strategies.
Contact information: email@example.com, +1-650-450-9011
Developing a forecast or budget sounds like it should be a simple task.
It rarely is. A planning and budgeting process is often used for multiple purposes and has many stakeholders, each with his/her own interests, constraints, risk profiles, deadlines and commitment to the process. Often budgeting processes become a minimalist exercise that reflects the power of the CFO rather than a process that is useful to strategic thinking and strategic management in the organization. There is nothing worse than a budget developed six months prior to the beginning of the fiscal year that is out of date before the year has begun.
Developing a forecast or a budget is typically an iterative process. The number of iterations within a particular year will affect the perception of the value of the process (more iterations typically annoys people). Just as importantly, forecasts and budgets are exercises that will repeat typically at least quarterly and annually. They will always evolve over time.
Developing a successful forecast or budget requires five elements for success:
1. Senior sponsorship is required to ensure that cooperation is obtained from all participants.
2. The level of work imposed or solicited needs to be perceived as reasonable and appropriate, often a difficult task in a changing environment without good supporting technology.
3. Senior management should avoid using the forecasting process to educate themselves and causing significant workload on the numerous participants. This is best achieved by spending time up front to understand the workload caused by a forecast exercise.
4. A longer term perspective on the forecast should be addressed up front by analyzing the workload and number of pieces of data being developed for each forecast in the current and future periods. Perfect systems should be avoided and iteration anticipated.
5. The forecast should be strategic and focus upon critical issues rather than letting the apparent simplicity of spreadsheets drive linear extrapolations of past performance. Forecasts should explicitly address uncertainty and risk, capacity utilization and the process of forecast revision over the forecasting period.
Introduction: Why Is Forecasting Difficult?
Planning and budgeting (P&B)are basic tools in managing a business. Budgets are often used to control spending and set expectations. Forecasts are often thought of as revisions to budgets done on a periodic basis to make sure that the budget is compared based on more recent data. Forecasts often extend beyond the budget period as well. If you are doing a quarterly update, there is little point in a cycle of 9 month, 6 month and 3 month projections, it's often equally as easy to do a rolling 12 month forecast.
Forecasting is often a problem for a companies because it serves multiple purposes and the importance of these multiple purposes looks different to different stakeholders throughout the organization. In an ideal world, the designer of a P&B process would identify the key stakeholders (i.e. people or groups that make the project a success or block it) and identify their minimum requirements for the P&B project's success. Generally speaking a stakeholder will have a threshold that must be delivered for satisfaction and other elements which they want emphasized a great deal.
Let's examine the stakeholders for the process:
1. The Board of Directors typically expects a forecast so that they can determine the future performance of the company. Their bias is typically towards financial results and to a lesser extent risk management. Strategic issues are often downplayed particularly in diversified companies with many different business.
2. Senior management in the company often uses the budgeting and forecasting process to force the organization to make choices about allocation of capital budgets, operating budgets, new product development processes, sales and marketing efforts. Annoyingly for the developer of forecasts and budgets, the projections are often used as a way of educating senior management about the business leading to multiple iterations.
3. Middle management and financial functions in the organization often use performance against the budget and forecast to revise their activities to meet their goals and performance metrics. Just as importantly, they use revisions to the budgets to prepare other stakeholders for surprises. Failure to deliver a budget is frequently less of a problem than the problem of surprising a boss with a failure to meet a budget. The budgeting and forecasting process is often seen as a chore rather than a productive use of time.
A very common problem for managers is the design of and successful implementation of a planning and budgeting process. There are several key constraints that make the design process difficult.
First, most managers undertaking a P&B process have little experience in their design and consistently underestimate the effort involved.
Second, P&B issues change constantly. If the CEO or profit center owner decides something is important, it is likely to be dropped into a P&B process at the last moment causing significant work load to the implementers.
Third, planning systems often draw upon information in other systems and formal migration processes for designing, testing, rolling out and training users is weak. Integration issues and business intelligence issues are surprisingly rarely addressed even though the information used in a good P&B system is very valuable to many users.
Fourth, planning tools are often dictated by functional areas for their own benefit and don't consider other users.
Fifth, budgets for P&B systems are generally small. Custom work has to be shoehorned into short time periods without regard to the actual work required.
Sixth, year over year comparisons are often extremely difficult because the planning system varies from year to year. The consistent information is often not the most important information for operating managers.
Seventh, disagreement about the scope of planning is very common. Planning is a bit like the elephant in the apocryphal story about the six blind men and the elephant. It feels very different depending upon where you are relative to the elephant.
Diagnosing Your Forecasting Problems
Before you can improve your forecasting (and often before you can obtain cooperation from stakeholders), it's typically a good idea to seek to understand from stakeholders what past problems have occurred and what needs are going unmet.
Typical problems might include:
1. Poor accuracy in the budget or forecast
2. Time wasting revisions to the P&B data as stakeholder requests evolve.
3. Excessive manual work.
4. Irrelevance after the process has been completed due to the length of time taken, iterative approvals or changes in the environment subsequent to the development and approval.
5. Inappropriate levels of granularity i.e. budgeting at too detailed or insufficient detail (which we might refer to as the Goldilocks problem)
For each of these five problems, different solutions are available. The resulting P&B efforts and focus are likely to look different.
The Multi- Period Problem
Perhaps the most important problem with P&B systems is that they tend to be focused upon financial requirements and not upon customers. Consider the situation of a customer that buys a pilot project that if successful could lead to 10-100X more volume of purchases and significant profitability. However, if the subsequent profitable purchase falls outside the budget or forecast period, resource allocation decisions may cause underinvestment in developing pilot projects.
Customer profitability is rarely well represented by a single period view of a customer. P&B systems that only look at single year profitability may be missing the most important drivers of overall profitability. A software company that only looks at financial results can show revenue growth while in decline. If a healthy number of new customers are not being acquired, maintenance revenues may continue to increase but the competitive position may be deteriorating.
If the purpose of forecasting is to be useful, then the information base for the forecasting should be useful, relevant and flexibly capable of being modeled and changed.
The Multi-Forecast Problem
A common problem with P&B systems is that budgets and forecasts get revised. In theory, it should be easy to compare a budget with a revised forecast that is updated every three months. However, it becomes exponentially hard if the data is driven off detailed data and the detailed data does not exist on a quarterly basis e.g. a total market size number that is only revised annually by a tech consulting firm or if the forecasts have been inconsistent in their use of bottoms-up and top-down forecasting.
There are no easy solutions to this particular problem.
The Implicit Strategic Decision Problem
A common problem in forecasting processes is the hidden assumption that the forecasting process should force managers or enable divisional or head office managers to make resource allocation decisions while developing a forecast.
The challenge here is that budgeting and forecasting systems tend to be linear extrapolations of the past. Innovations, in contrast, are often harder to forecast and have higher uncertainty. As a result, plans and forecasts presented in a spreadsheet often seem to imply that each line of the forecast is equally certain and reliable.
The truth is typically otherwise.
And the more detailed the forecast, the more likely it is that each line will produce a variance in subsequent quarters. The solution is typically thought to be focusing at a high level of forecast that irrelevant or immaterial variances don't show up.
P&B systems typically cause the creation of spreadsheets and PowerPoint slideshows. More sophisticated systems have been developed for consolidating hierarchical budgets and forecasts. These typically fall into two categories - multidimensional spreadsheet or OLAP tools and relational databases. Because these tools are typically difficult to use, the reality is that most work is done in spreadsheets and then uploaded to consolidation tools.
However, it is not clear that these consolidation tools are helpful in the process of developing a forecast. Without going into the mechanics of building up a consolidation or reconciling a top down goal setting with a bottom up forecast, let's just say that it is messy and complicated. The result is that forecasts are often painful to develop and inaccurate.
Dealing with High Uncertainty - Scenarios vs. Business Success
In highly uncertain environments, there are four basic approaches to forecasting.
The approach used most often is develop multiple forecasts. A high, medium and low forecast is the most common version seen. A more sophisticated approach is to develop a probability weighted set of forecasts where each forecast is assigned a probability. Each forecast then results in an expected value that adjusts the revenue forecast by the probability of revenues. Probabilities add to up to 100% so that the sum of the expected values is the best estimate of revenues. The unattractive side of this approach is that while it is useful for revenue forecasting, it is less useful for many expenses as they will be adjusted to reflect different revenue cases. Another weakness is that research suggests that most managers underestimate variability and risk.
Monte Carlo or Stochastic Modeling
Spreadsheet based forecasts are typically characterized as deterministic. Monte Carlo modeling involves a more detailed approach to uncertainty. Each line in a forecast is mapped to a potential probability distribution (e.g. a normal or power curve distribution). A simulation is run hundreds or thousands of times to see the overall outcome distribution with each line item varying according to its probability distribution each simulation run. Because of the number of runs made and the need to map a distribution to each item in the forecast, more detailed consolidations are typically avoided in smaller companies and forecasts are done at a fairly high level of summary.
Multiple forecasts are often erroneously called scenarios. But more properly, a scenario is a term reserved for naming and describing a future in which the organization might have to operate. Scenarios represents ways of stretching the thinking of the organization so that the organizations anticipates the impact of a proposed strategy across a more diverse set of potential environments.
Resource Allocation Frameworks
Many organizations address resource allocation decisions separately from P&B processes. They may make resource allocation decisions within the P&B process, but they separate out earlier stages of resource allocation. Often these systems are characterized as new product processes, productizing processes (in service organizations where services migrate from custom to standard) and capital budgeting processes, where a limited pool of capital is allocatable to major investment projects via a formal approval process.
Thinking Outside the Box - What are you not measuring and not forecasting
It may seem strange to think about what you are not forecasting but well managed companies should look at what they are not addressing and the larger issue of how well an organization is doing in the overall environment.
There are several ways of thinking about this problem.
Some companies look at share of wallet or share of expenditures. They measure their forecasts as a percent of total spending by a group of customers. When forecasts are looked at in this light, companies can understand to what extent they are not obtaining revenues and profits from areas of the market where they have blind spots.
Another key measure that is important to look at is what is your addressable market vs. the total market. A forecast can often look good in the context of your addressable market. However, if competitors are making in-roads into the total market, you business may be in decline without you realizing it.
Benchmarked performance. International companies often have difficulty comparing markets. Having a benchmark allows for comparisons of performance that are independent of pricing, cost inputs and currency fluctuations. The publisher, Harlequin, used to look at books sold per thousand women over 18 per year as a measure of market penetration and maturity.
Capacity Management and Forecasting
Many organizations do a good job of forecasting revenues and expenses, but do a bad job of forecasting capacity and utilization. There are many reasons for this bias. It's difficult to forecast lagged variables such as hiring a person, training them and make them effective or processes whose cycle times are longer than the cycles times of marketing and sales. And developing people and capacity often needs to be done in advance of obtaining sales leading to a perception of risk, both in terms of internal evaluations of performance and financial outcomes.
The key task here is to make sure that assumptions are explicit rather than implicit and that the organization is committed to the marketing and sales objectives. By having clarity and consensus better decision are likely to be made and delivery failures are less likely.
Explicit decisions on training part time people can also be pursued to manage peak loading and capacity problems.
Planning and budgeting systems are more complex to design, specify and obtain compliance with than most managers anticipate. Making sure that sponsorship, scoping, evolution and links to the rest of the organization are considered early in the process will increase the likelihood of success.
Tuesday, October 27, 2009
In the past week, there have been numerous comments about overreaching by the Federal Government in placing caps upon the pay of the top twenty-five executives in companies that have received major government investment.
Government determining the pay of executives is clearly an overreach, but I find it hard to criticize the modest restrictions.
Consider the situation if these institutions were not banks, where bankruptcy was a legal option. Under such circumstances, every employee in the organization would likely be facing firing, salary and other reductions in remuneration.
Banks are difficult to put into bankruptcy because such events would trigger complex and cascading contract events, so the Fed, the Treasury and other regulators have been forced to take over these financial institutions in a "soft" bankruptcy.
When government involvement is looked at in this light, perhaps the complaint should be that more has not been done.
Friday, August 21, 2009
The Digital Living Room still continues to fall between the cracks of the silos in organizations. Consider a recent experience with major vendors.
An evaluation HP Windows Media Server that I purchased recently for a project came with MacAfee for virus protection. The protection expired after the initial trial period of 7 months.
So, I decided to use Norton, which I use on my other machines. However, Symantec does not make it clear whether their products work on Windows Home Server. Nor did they reply to my support request. So, I decided to upgrade the existing MacAfee solution as the lazy man's approach.
After two support calls separated by three days, and after 50 minutes on hold, I determined on the second support call that the product currently has installation problems and also does not upgrade its data files. The conclusion was not shared with me on the first support call where a different answer had been suggested.
Now, as a past CEO of various software companies, I sympathize with the challenges of supporting continually changing software. And I am not particularly worried about this server, which is primarily used for file back up and music sharing.
But the whole experience of:
1. Having to determine whether a product works with a home server.
2. Inability to offer a clear and simple decision process on what to buy.
2. Confusing installation processes.
3. Difficult to use administrative software more appropriate for a small business than a home user.
4. Delivery of support via the small business support line causes unnecessary phone calls and downloads of support software.
reflects an inside-out silo'd view of the customer.
Persuading consumers to tackle the Digital Living Room will require a more customer centric perspective. A Chief Customer Officer would help a company transform the customer experience so that successful customers would become ambassadors on behalf of products and services.
Wednesday, August 12, 2009
I recently had an off the records conversation with a former CEO of major firm who had spent much of his CEO tenure dealing with more legal suits than any business should have to deal with.
The take away from our discussion was that with the full benefit of hindsight, the company's problem was that (1) it was small, (2) its patented technology was really valuable to very large customers, (3) the company priced licensing of its technology based upon the value of the technology to licensors and their customers.
What the company forgot -- and this is a common mistake of small companies in the United States -- is that a large company looking at a small company always has the choice of litigating and use the law as a weapon to beat the small company to death.
So, when I work with small high tech companies and their business plans talk about barriers to entry including a patent, I will often grimace.
If the technology is unsuccessfully, nobody will care.
If the technology is successful, then the chances of being sued go up.
If the technology is exceptionally successful or useful, it's pretty much a sure thing that you are going to get sued.
Without major reform to patent law in the US - which is clearly needed -- there are no simple legal answers to this problem, except to using pricing as a tool.
Pricing can encourage licensing and make it more attractive than suing. What people forget is that there are many ways of pricing a product. Pricing creativity can reduce legal risk, accelerate revenues and in some cases increase total revenues.
It's worth thinking about before you get sued.
Thursday, August 06, 2009
Yesterday, I attempted to watch a Blu-ray movie obtained from Netflix, produced by Sony studios, on a six month old Sony Vaio multi-media laptop, hooked up to a 25.5 inch Samsung monitor as a secondary monitor. Blu-ray of course is a wonderful standard for high def movies developed by Sony.
It took me two hours and two support calls to get the movie started.
Now it's pretty hard to argue that compatibility should have been an issue with Sony controlling all the technology. If I were not doing consulting to firms in the digital living room area, I would have broken something in frustration. I rarely get so annoyed by technology that I curse out loud, but it was one of those evenings.
So, you may ask, what happened?
The problem began with the InterVideo software shipped with the notebook. When I stuck in the Blu-ray disk, it told me that I need to renew a key in the Blu-ray viewing software. I was sent to a confusing page with the software vendor Corel, a relationship I was unaware I had. My immediate thought: is this some kind of virus problem? The key transaction then failed twice. So far ten minutes wasted.
The courteous and knowledgeable support person in Costa Rica talked me through disabling user account control on my notebook and obtaining a key upgrade. I was fuming by this stage. Not only do I object to an unnecessary key renewal, the software does not even work well. So far, 60 minutes wasted.
But the problems did not stop there. I could not escape the previews on the DVD. Now, I would like to think I am a pretty knowledgeable about the digital living room. People hire me to look at their products and do competitive comparisons. But it was practically impossible to get to the movie. I think I saw the previews seven times. Unlike most people I have two media computers with Bluray from different vendors. Same problem on both my desktop and my notebook. Total time wasted now at around 70 minutes.
On the second support call, we determined that a second Netflix Blu-ray disk, immediately went to a main menu from which you could play your movie easily. Admittedly, the second disk did reveal I had a bad setting on my desktop, causing the colors to be wrong, which I eventually fixed by letting the video app control color settings. The conclusion from the second support call was that the Blu-ray disk was defective.
Now, I am not a typical user. I am way more persistent. I eventually figured out a way of getting to the movie with some additional experimentation. Total time invested over the entire evening ended up at over two hours. But I would have to say that the experience was ridiculous. A media notebook that can't play media. A Blu-ray disk that won't let you get to the movie on it. Disappearing menus. Software that won't let you play your movie on your external monitor. Multimedia computers that have non working registration software that prevent usage.
The move to digital content has to a large extent was initially spearheaded by Apple. It's initial focus on its business system was on simplicity. Pricing per track was set at 99 cents. Simple and understandable. A good pricing model for a new and complex technology.
But today, the world looks quite different. Digital music is now mainstream. And with mainstream businesses, traditional retail issues and innovation start to become more important.
Amazon is at the forefront of this new trend. It is a result, possibly the most interesting media company in the world.
Consider the following:
Amazon sells traditional books, electronic books on Kindle or iPhone/iTouch, traditional physically delivered music, downloadable MP3s, new and second hand DVDs, downloadable movie purchases and downloadable rentable movie viewing. Other than a subscription model, Amazon has most of the purchase options covered.
Even more interestingly, unlike Apple, Amazon is behaving like a smart retailer. It uses free songs, free Kindle copies of the first book in a series to create traffic, in a way analogous to the supermarket offering cheap milk to bring in customers or samples to get customers to try a new brand.
And Amazon is testing pricing. It offers daily specials pricing anywhere from 99 cents to $2.99, with $1.99 as the most common price point to encourage traffic, obtain sampling and give customers a reason to keep coming back every day to their web site. It's better than advertising, because revenues are produced by the hook that pulls in the customer. And of course, the big problem with an ecommerce site is getting traffic. If they visit, you have a chance of selling them something.
But the really interesting capability that Amazon is building is deep understand of individual customer tastes and price elasticity, something that Apple has spurned. Amazon is learning about the tradeoffs that individual customers make on different types of purchase, lease or download of content. When will a customer own or rent? What do you need to do to create trial? When does it make sense to discount to trigger additional purchases of content from a writer or artist, or to addict a reader to a book series?
Great businesses don't freeze their strategy. They continually improve them. Amazon seems to be aggressively learning faster than other players. Kudos to them.
Monday, August 03, 2009
Copyright Alistair Davidson, August 2009 as an unpublished work. Alistair Davidson is a strategic consultant with turnaround experience who has been CEO of several companies and helped companies improved their revenues and business development activities.
Contact: firstname.lastname@example.org Phone: +1-650-450-9011
Certain key insights in strategy seem to be continually important. Flanking a competitor is often a better strategy than attacking them head on is one example.
In many business and economic analysis, 20% or so of a market, customer group or products seems to account for a disproportionate result, often characterized as 80% of the results sought (revenues, profits, etc.). This Pareto or 20:80 rule became very popular in the 80s when activity based costing exercises revealed that for many companies profitability was driven by a small number of customers. The less intuitive conclusion, one that frequently has to be explained to first time readers is that if 20% of your customers account for in excess of 100% (say 150-200%) of your profits, then the you are losing money on the other customers.
What is challenging about the Pareto insight is that it offers a universal rule of thumb, frequently and consistently important, but the prescription from the insight is often less obvious. And sometimes it is wrong. The Pareto insight leads to one of two conclusions:
1. The 20% of customers represent a unique group and lessons learned from them are not directly applicable to the rest of the market.
2. The 20% of customer represent a model for my future business.
Business Model Revision
The Pareto rule is often difficult to apply is where a new business model is introduced. It is never 100% clear whether a potentially disruptive technology at the low end of a market will change market requirements or provide a platform for an initial insignificant competitor to build upon. In a parallel way, migration of high end features from premium products and services to the mass market is also difficult to predict in some markets.
The concept of Track and Trace (making parcels and envelopes trackable though out the logistics process), offered by FedEx and UPS was extremely threatening to the Canadian Post Office. They could see no way of matching the capability given the volume of mail and packages they delivered.
The internal debate revolved around whether they should take a Pareto approach and focus a Track and Trace capability only on parcels and high value added packages, or whether this would be a long term capability for all logistic operations. Their eventual conclusion was they needed to have more presence in the premium package and envelope business and Track and Trace would largely be restricted to the high end of the market. To this end, they bought a courier company, Purolator.
One potential prescription from learning that 20% of your customers account for 150% or more of profits is to slim down the business and focus upon the profitable customers. However this strategy is often emotionally very difficult for many managers and often pursued too late. Managers have spent so much time investing in acquiring customers that given up the customers is distressing.
Raising prices for the less profitable customers seems like an obvious solution to a 20:80 insight, but resistance from the sales force, inadequate systems for tracking discounting behavior and negative feedback from customers are likely barriers that will need to be overcome. Slightly more clever approaches change the basis of pricing in ways that are more palatable to customers. Leasing and usage based pricing are particularly attractive to capital constrained customers and change the nature of the evaluation process.
Reducing the Cost of Delivery for Unprofitable Customers
Financial services organization frequently have used self service with ATMs and online banking to reduce the cost of less profitable services and less profitable customers. In contrast, wealth management services offer higher levels of service and advice.
Reducing Marketing Costs
A less obvious approach to making many customers profitable is to delight customers so that they become your sales agents. Strong word of mouth can significantly reduce a required marketing budget. Amazon uses daily specials in e.g. the MP3 download market to encourage daily visits to their site, a low cost way of generating traffic. Heavy users may tell their friends about hot music they have found a deal on.
Life Cycle Management
As with most costing decisions, it turns out that pricing is often a strategic decision. As a result, the time frame over which you measure customer profitability is critical as are the implications for organizational capacity.
- Mature software companies like Oracle will often discount their software significantly to obtain sales (with the largest discounts occurring at quarter and year end when sales reps are under pressure to meet their goals). Part of their willingness to do so, is their knowledge that software is actually more a service than a capital expenditure with maintenance revenues a critical part of the annuity relationship with a customer.
- The success of the Apple iPhone is based in part upon the fact that that a $600 cost of purchase by AT&T is resold to a subscriber for $200 in return for a two year contract that might add up to $2400 of revenues and a strong probability of retention at the end of the contract. These high ARPU (average revenue per user) clients are likely some of AT&Ts most profitable.
- The challenge for AT&T is to how to grow their business. Are these customers atypical, i.e. a 20% that is atypical or do they represent a different business. Research suggests that there is a large gap between the number of subscribers that would like an iPhone-like service (i.e. with easy to use Internet access) and the actual number of data subscribers. One interpretation is that subscription rates would increase with lower data plan prices. A move in this direction would have significant implications on network architecture for AT&T mobile network capacity by reducing the revenue per user from data plans and lowering revenues per byte transmitted.
Increasing Value Propositions
Bundling is one example of changing value propositions. Companies like Hyperion (now Oracle) and Microsoft have used bundling to reduce the cost of individual applications, but create more value for customers. In telecom, triple and quad plays (combination of voice services, broadband, TV services and mobile services) are a common marketing approach.
In some ways, bundling can be slightly unintuitive. Most purchasers of e.g. MS-Office probably don't use most of the features they purchase, but the incremental cost of having compatible features available has value. Most fixed rate pricing programs e.g. Netflix make this same tradeoff. Netflix may lose money on some customers who are heavy users of the service, but the reality is that most people are at or close to the limits of time they can devote to viewing videos. Value perceived is not necessarily usage.
Changing the Basis of Competition and Cost of Delivery
The Pareto insight is one that many companies are facing in the current recession. When demand for a product category drops dramatically, downsizing assumptions are often affected by assumptions about demand and profitability distributions.
In the automobile industry, the politically unspoken "elephant in the room" is that gasoline prices will in the future be maintained at a far higher level than previously for reasons of balance of trade, security and global warming. This increase in the total cost of ownership of a car will make likely make small cars more popular and more expensive than they have been historically. It will also make driving more expensive reducing total demand for cars. Auto companies are faced, as a result, with downsizing, a cyclical downturn of unusual size and a longer term secular shift in purchase patterns.
As with many markets, the automobile market is likely to become far less homogenous. The market may evolve towards predominantly electric powered microcars for in city driving, hybrids for trips requiring greater range, and larger hybrid capacity vehicles for transporting larger groups of people.
For automobile companies, their cost structure, traditional assumptions about profitability, scale and scope economies are all open to question.
In the same way, telecom service providers faced with demand for low priced unlimited data plans are having to rethink their network architecture to divert home and office data traffic away from cell towers to home fixed broadband connections.
The key take-away from any Pareto analysis is that it is a useful rule of thumb that inspires important questions about making money in your business. Making the right decision means not only looking at product and customer profitability, but also your delivery process and value chain from the perspective of both current and emerging usage patterns.
Friday, June 12, 2009
Multiple-technology substitution (MTS) provides a new way of losing or growing revenues
Alistair Davidson is a strategy marketing and technology consultant, former CEO of several high tech startups, and author of three books and numerous articles on technology and strategy. He has worked with telecom service providers, communications equipment vendors, software and media companies.
Copyright Alistair Davidson, 2009 as an unpublished work.
Having your strategy be disrupted by a single inexpensive lesser performing product represents one type of disruption risk that has been frequently written about in the past decade.  A second type of disruption, Multiple Technology Substitution (MTS) is based on a collection of products or services that, in combination, compensate for individual weaknesses of the complementary technologies. The complementary nature of the collection of offerings – a “synthetic” product offering -- can compensate for individual low levels of performance, surprising established competitors which sell more capable product offerings.
During a period of initial customer experimentation, market growth due to the disruptive products/services maybe misinterpreted as a long term trend towards an increase in category use and/or spending. Marketers may overestimate market growth and fail to anticipate a sudden drop in users’ category spending. A 3-stage cycle of (1) increased spending due to experimentation, (2) learning how to use the inexpensive products, and (3) consolidation of usage is likely as users gain experience in assembling and optimizing solutions.
Adding to the impact of MTS is the idea of MTS amplification, or products/services that amplify the effectiveness of the MTS combination. MTS Amplifiers may present ways of changing customer relationships and represent opportunities both for competitors competing on a different basis than traditional competitors and for existing players defending their markets.
There is nothing worse for a career than a nasty sales surprise. In the case of a small business case, the resulting cash flow problems can kill the business. In a larger business, it can kill your career.
For some industries, multiple technological substitution (MTS) presents an unperceived and hence unmanaged risk -- one that may be invisible to managers without new kinds of user research. Many markets demonstrate MTS – software companies facing open source solutions; hardware vendors facing open source software replacement; cable companies facing Internet-based video competition; to name just a few.
For a more detailed look at the phenomena, consider the specific situation of fixed line voice service providers (recognizing that telcos exist in various formats: fixed line, mobile only, integrated with both fixed and mobile, and virtual operators leasing capacity from companies with actual networks). 
Globally, there were 4 billion mobile cell phone contracts as of the end of 2008 . As mobile phones have become more popular, fixed line telephone company executives in developed economies have worried about the substitution of mobile phone for the combination of mobile plus fixed services (FMS), Such replacement would cause them to lose highly profitable fixed line voice customers. And the data for telcos suggests that FMS has been occurring on a large scale as consumers cancel their traditional fixed phone lines.
If you are student, living at home in summers and on-campus during the school year, a mobile phone makes perfect sense for a transient live. Demographically, one would expect to see younger telephone users more likely to be mobile-only customers but the trend towards increased mobile usage is actually quite broad. Research on phone use shows that people will use their mobile phones in the workplace and at home for reasons of convenience and in order to always be reachable. Roughly 50% of mobile usage occurs in situations where a fixed line is likely to be also available.
But there is a more insidious danger for telephone companies, one that is less obvious. It comes in the form of a collection of voice communication services delivered over the Internet. Voice services like Gizmo, Yahoo Messenger with Voice, Microsoft Live Messenger with Voice MagicJack or Skype cost nothing or next to nothing to purchase. Skype accounts for 8% of world international call minutes according to the company fact sheet . Like many disruptive technologies, the services can have unpredictable or lesser quality. MagicJack works well on a fast machine, and not very well on a slow machine. Skype works better with a Skype “box” attached to the router than it does on a personal computer. VoIP (Internet based voice calling) over WiFi on a WiFi enabled unlocked cell phone is sometimes difficult to set up and can be unreliable.
Sidebar: Internet Based Telephony Data Show That Low Cost Services Are Significant
Number of Magic Jack customers: > 2 million as of January, 2009. 
Number of Skype user accounts: 405 million as of Q4, 2008 
Skype was reported as delivering 20.5 billion Skype to Skype minutes in Q4 of 2008 and 65.3 billion minutes for the full year. Skype calls to regular phones cost money: $2.6B of paid calls for SkypeOut minutes were used for calls to regular phone numbers. 33.4 million users were active in Q3.
To date, the unpredictable and lower quality of these Internet-based services (relative to the gold standards of the traditional fixed line or the higher quality of cable VoIP voice services) has been a disadvantage for these Internet IP-based voice providers. Voice quality is an important service attribute. It has represented a barrier to further market expansion by these free or low cost services. The need for some technology knowledge to figure out the best way of using the services makes them a poor choice for those unwilling to experiment. As a result, usage is often low and adoption has been limited to the tech-savvy.
The Risk of Synergistic Substitutes
But synergy between a mobile phone and an Internet IP-based phone service changes the value proposition significantly. If the IP-service does not work, you can always use your cell phone. If the mobile carrier is charging a higher rate for roaming or international long distance, the cost conscious user can use the Internet IP-based services. Skype additionally permits allows cell phone users to dial a local number in order to access Skype’s international rates, which are typically lower than cell phone international rates. One CEO of my acquaintance came back from S. Korea with a $500 roaming bill. The next day, he put in place a policy of using Skype when travelling internationally and calling home.
There is a general pattern here. When you have an established product/service category (e.g. fixed line phone service), and you are competing with multiple disruptive services (e.g. the available but slightly less reliable mobile service as well as a more unreliable Internet-based voice services), user behavior may become harder to predict. Users will initially try substitutable services; as they gain experience with the substitutable services, they may become decide that they have sufficient redundancy in their two or more new services; this insight means that they can drop their less used and now perceived to be redundant traditional (fixed line) service.
As validation for this insight, consider the following question: “How many people would give up their cell phone to retain their fixed line?” One could only imagine this choice occurring if the customer were using the fixed line for both dial-up Internet access and voice, a decreasingly common usage pattern. For most users, if they have to choose, a broadband connection ranks higher in importance than a fixed voice line. And of course, if you have a broadband connection, you can use it for voice calling so it acts as a strategic amplifier.
In the early stages of a new disruptive technology, reliability and ease of use may be poor, but over time, failed experiences may be replaced by more successful experiences as the technologies improve.
When consumers are financially flush, they are likely to try out new and potentially substitutable services in addition to “trusted” services or products. Total spending in the category goes up until the consumer becomes so comfortable with the cheaper technologies that they decide to drop the traditional service. Consumer cutback due to job loss or income reduction may trigger the decision even faster.
The implications for managers facing substitution is that past market spending and trends are likely to be misleading. The 3-stage cycle of trial, learning, and product/services consolidation means revenue growth can be followed by a sudden drop to a new and lower revenue level. This process of overestimation parallels the problem of pipeline fill in distribution organizations where initial demand for product inventory in the pipeline causes overestimation of end-user demand. The difference here is that the disruptive products are inexpensive so they don’t increase revenues proportionately as much as they increase usage, but when the traditional product or service is dropped, the revenue effect is dramatic. Free or low cost replaces traditionally priced products.
Amplifying MTS Disruption
For the example of fixed line telephone companies, the challenges don’t stop with the double substitution of mobile and Internet voice services for fixed lines. There exist “amplifying” products and services that make the substitution more effective. They improve benefits, lower risk and cost. These amplifying services may sometimes move the locus of account control to third parties which are using the benefit of the amplifying service as a novel way of building relationships with customers often by deploying different business models.
The combination of on-line advertising-supported video programming at sites such as Hulu.com or Joost.com offers another amplification example. TV and movie video content has only recently become legitimately available on the Internet. Here the amplifier is called “media extenders” or technologies for connecting the Internet-sourced video to the TV. Media extenders – typically a WiFi-based specialized set top box -- are a new phenomenon, so retail availability and consumer understanding have both been limited, and adoption has not yet been large. As the availability of devices for linking the Internet to TVs is adopted, the acceptability of the Internet for sourcing video content improves dramatically. Netflix’s download services which are free if you subscribe to the core product of unlimited TV rental also amplify any decision to eliminate cable subscriptions.
In the telecom sphere, Google’s GrandCentral service is a strategic amplifier. It is a free unified communications (UC) services with the feature of single number ring. UC single ring is actually simple in concept. You give out a new phone number to your contacts. The new phone number is controlled by the user via a web page and automatically rings all the phone numbers the user has specified. So, if a user doesn’t trust the reliability of his Internet based phone services, he can introduce redundancy by having more than one service and having his cell phone also ring. With a close to zero-cost Internet telephone service, users can rethink the nature of their communications services. And each time they chose to pick up their Internet phone (instead of their mobile phone), they avoid using their ‘basket’ of mobile minutes.
Many telephone companies have not picked up on unified communications with single ring for consumers -- perhaps for fear of loss of revenues to Internet services. Google’s service forces consumers to have yet another phone number. Mobile telephone companies already have assigned the consumer a telephone number so less work is required for the consumer if single number ring is accessed through a call to the mobile number. A wireless provider launching this product as first mover is likely to gain advantage and reinforce the primacy of its relationship with consumers who dislike changing phone numbers.
The results of these three overlapping technologies (mobile, Internet-voice and unified communications) is that a US consumer now has the opportunity of reducing his communications cost by $700-1000 per person per year. In other international markets where the cost of mobile minutes is higher than in the US, the savings might be even greater. From the carrier perspective, customers switching to an MTS solution represent a significant drop in market size. For the consumer, such a savings is significant in a normal economy and more so in a recession. It represents a savings in excess of that being claimed by online insurance companies for switching automobile insurance and therefore, is likely to be adopted. These technologies can also spread easily via word of mouth, corporate policy changes, and marketing to mavens and experts. 
Technology Amplifiers take a substitution problem and increase the effectiveness and perceived usefulness of the new substitute technologies. Just as importantly, Amplifiers can trigger permanently reduced spending on the product category. When Amplifiers are owned by different competitors, a non-amplifying company may be perceived as offering less value than previously.
The implications of Multiple Technology Substitution and Amplifiers is that competitive risks can, in some markets, become more complex to analyze, more difficult to anticipate. While some disruptive competitors may have a deliberate installed base strategy of pursuing users of the higher performing product, other may not. MTS introduces new accidental groupings of competitors, that pursuing their own narrow objectives, constitute a functional or virtual competitor. Traditional competitive analysis and extrapolation is insufficient to predict such emerging coalitions of use. Scenarios and forecasts need to be considered for these synthesized virtual competitors that could emerge and accidentally combine in almost biological way. For vendors launching a disruptive product, a failure to consider how complementary disruptive product can assist in a launch will lead to missed opportunities.
Understanding why customers are not buying is important in a downturn. MTS implies that it is just as important to investigate consumer patterns of usage and experimentation. Attitudinal research and the rate of change of attitudes towards potential substitute products should be tracked. If you understand where customers are experimenting with products and services, you may be able to anticipate the consolidation risk. In some cases, you can forestall consolidation through pricing and product changes. In other cases, the reasons for the exit may force you to change your business strategy and operations.
Telephone companies are being forced to face these new technologies. Not surprisingly, their reaction depends upon whether they see these new services as threats or opportunities. For mobile operator T-Mobile USA these disruptive technologies allow them to expand their service beyond their narrow product offering of cell phone services. T-Mobile USA now offers three kinds of phone service: (1) cell phone service, (2) WiFi-based phone services if you have a dual mode WiFi capable cell phone, where you trade off a fixed monthly fee for unlimited voice over WiFi services, and (3) a $10 a month fixed line service that runs over the home fixed broadband connection.
T-Mobile is attempting to displace the traditional phone company relationship for both fixed and mobile voice services without having to build an expensive fixed line network. It is changing the rules of the game by dramatically reducing the cost of a fixed line to reflect its dramatically lower cost of providing an Internet-based phone services.
As a side benefit, T-Mobile’s strategies also reduce the cost of delivering mobile services by converting regulated bandwidth-consuming cell phone calls to unregulated free WiFi which is then, in turn, transmitted over the consumer’s fixed broadband connection back to the operator’s backbone.
For marketers, understanding how different buyers see and are using your and MTS products may allow new segmentation, pricing, delivery and value propositions. Strategic costing studies often suggest that a small portion of customers are particularly profitable. Rules of thumb in activity based modeling suggest that roughly 10-30% of customers account for more than 100% of the profits of the organization in any given year. Understanding who is profitable is important. Losing the most profitable customers can be devastating. Equally as importantly, making explicit decisions about the life cycle profitability of customers may salvage a business in trouble or provide new growth opportunities than can grow sales and higher profit relationships. Some telephone companies are attempting to use femtocells, or small cellular base stations located within the home or office to improve their value propositions and capture a higher share of customer telecom spending.
The Amazon Kindle electronic book reader provides another example of an amplifying technology that preserves and grows market share for Amazon, but also offers significant opportunities for content that were previously uneconomic. The obvious benefit to Amazon is that Kindle owners are often frequent book buyers who have decided that they buy enough books that the breakeven on the Kindle will be achieved quickly. Travelers and readers with two homes will appreciate not having to carry piles of books. But non-Amazon entities such as authors and publishers can now can skip the traditional printing and distribution process. Perhaps more importantly they avoid the pervasive and costly problem that books are a returnable product, additionally lowering the cost of distribution.
Example Reconfiguring of Products for a New MTS Environments
Digital content is an example of a market where product reconfiguration is required in response to MTS. In digital environments there is often more opportunity for product reconfiguration that managers realize. Content companies will have to manage a more complex portfolio of business models and develop more sophisticated ways of integrating their view of individual consumers and their usage.. There are five basic forms of revenue models that will emerge or which can be bundled together:
1. Traditional advertising based models. (Examples: classic network or cable TV)
2. Fee-based models for one time viewing or viewing for a period of time, unbundled from subscriptions. (Examples: video on demand, Pay-TV, single viewing downloads, downloads valid for a narrow viewing time slot.)
3. Subscription models analogous to current cable or satellite tiered services. (Examples: premium cable subscriptions, satellite subscriptions, Netflix, music subscription services)
4. Product placement, sponsorship and brand integration models sometimes combined with other economic models. (Examples: various soap operas or drams financed by e.g. Procter and Gamble or Hallmark, combination network TV shows financed by product placement and advertising.)
5. Purchase models which include a variety of portability, versioning and resale rights. (DVD purchase, download purchases.)
These revenues models can more broadly be thought as a collection of pricing models, rights granted to consumers and services around the purchase, use, storage and management of the rights. Rights represent a new frontier in content marketing and can include:
1. Right to view on one or more devices
2. Right to save
3. Right to redownload to one or more devices
4. Right to transfer ownership
5. Right to share with a designated group e.g. a family
6. Right to upgrade to a new technology or quality
7. Right to resell
8. Right to receive a commission on referral leading to resale
The marketing of content with attached rights management is likely to be controversial among consumers accustomed to the current simpler legal environment.
It’s likely that as users become educated about the rights bundles attached to different ways of acquiring media, different consumers will evolve different buying patterns. For example, less technologically sophisticated users and audiophiles both still prefer to buy music and video on optical data media such as CDs and DVDs. Slightly more sophisticated technology users may find the integration of a music/video downloading service and device more attractive until they get annoyed at the difficulty of moving content or the lower quality of many digital media. More sophisticated digital downloaders will discriminate on the basis of absence of rights restrictions and higher quality. For example, Amazon’s MP3 music offering initially offered both a DRM and a price advantage over the brand leader, the iTunes Store. Apple finally responded by offering unrestricted music files, but at a higher cost.
Confusingly, while consumers may evolve their preferences over time, they will likely to continue to trade off rights against price inconsistently, based upon their involvement or interest in specific content.
Researching and Anticipating a Sudden Market Decline
Without research or deep interactions with customers, companies will have difficulty predicting customer exits or the extent to which they are progressing through the three stages of MTS model. As a result, they will find it difficult to figure out how best to reconfigure their offering.
These conclusions suggest three simple potential customer exit models. A step model (Type 1), a straight line decline (Type 2) and rapid initial decline with a long period of low usage (Type 3). Type 1 exits are the most dangerous because the drop in purchase rate is sudden and unpredicted and may be disguised by a period of higher spending before the sudden drop. Type 2 exits are predictable and therefore, easier to manage as long as you can distinguish between Type 2 and 3 exits. Type 3 exits may create a category of lingering but possibly unprofitable customers.
The most general prescription here is not to accept decline, but rather to actively manage the process. These steps should include the following elements:
Research and stratify your customers to determine to what degree they are at risk for exit. Understanding their testing and competence with the various disruptive technologies is crucial knowledge.
1. Estimate the potential revenue lost by customer profile.
2. Model the impact of customer loss using an activity based costing model.
3. Evaluate different pricing and business models targeted for different customers.
4. Identify the gateway products which maintain account control. In the telecom space, video services, fixed broadband and converged fixed/wireless services with unified communications all represent potential gateway products or bundles. In contrast, traditional fixed line services are essentially commoditized.
5. Reconfigure the marketing program. For some customers, ease of use will be a critical element in retaining customers. For other customers, launching disruptive collections of services, but making them easier to tie together will be a necessary strategy.
6. Reconfigure the value chain activities where required to be able to compete with the disruptive competitors, e.g. T-Mobile’s low cost fixed line service at $10 per month.
7. In many cases, integration and improved user interface design are required for the traditional offerings. Integrated telcos with WiFi hotspot, fixed and wireless operations are now introducing services that take advantage of their multiple networks. Less integrated operators are pursuing partnerships to enable the same capabilities.
Customer can be categorized into different groups. Examples might include:
Profitable customers, where the goal is increased usage.
Profitable customers, where the goal is retention.
Profitable customers where pricing, business model or value chain reconfiguration is required to preserve the relationship.
Marginal customers where different business models and value chains are required to make them profitable.
Marginal customers where cross selling is required to make the customer profitable, requiring e.g. bundled pricing.
Unprofitable customers that should be “fired”.
In actual practice, most enterprises have little ability to perform such analysis. Overstressed and matrixed product managers may be put under pressure to focus on existing and obvious competitors rather than emerging threats. And when the more difficult analysis of potential virtual competitor combinations is performed, it is done infrequently and often too late. The experience of the music industry demonstrates the cost of not adapting quickly to the disruptive effect of networking, peer to peer file exchange, software for ripping MP3s, digital music players and pervasive computer use.
In contrast, Adobe, which has increasingly been moving up-market with its successful suites of imaging products (containing well known products such Photoshop, Acrobat and Illustrator) is faced with an expanding and improving collection of free imaging products such as Google’s Picassa, the open source products, GIMP and Artweaver (to name just three of many) all which are increasing in capabilities. Adobe’s historical segmentation had been to provide lower cost versions of their software such as Photoshop Lightroom and Photoshop Elements for its consumer and hobbyist niches. Directly targeting the free software tools, Adobe has also set up a free online service, photoshop.com: it provides limited photography editing and 2 gigabyte of storage for storing and sharing photos and videos. Integration and ease of use provides some initial defense against MTS as does the additional value added of free storage.
The 2008 recession presents businesses with a significant challenge. The deflation of the speculative bubble in the US is likely to take many years to unwind. Consumer spending is no longer financed by increasing real estate prices. Many markets may not recover in ways that businesses and consumers hope for. The consequence will be permanent customer spending declines in many product categories.
Customers, seeking to reduce their spending, will increasingly use low cost MTS and amplifying products to save money. Companies that fail to research their users and markets may over-estimate the recovery of revenues due a failure to anticipate the permanence of the switch to collections of disruptive technologies as customers consolidate their spending and arbitrage their suppliers. Clever strategists can participate in and use MTS value chains to create new relationships with customers and win relationships at low costs.
 Christensen, Clayton: The Innovator’s Dilemma, Collins, 2003
 Fixed Mobile Convergence for Integrated Service Providers, Cisco White Paper, 2008 https://www.cisco.com/en/US/solutions/collateral/ns341/ns523/ns519/white_paper_c11-480809.html
 Trends in Telecommunications, ITU, 2008, http://www.itu.int/itunews/manager/display.asp?lang=en&year=2008&issue=10&ipage=30&ext=html
 Preliminary data, TeleGeography Research, 2008. quoted in Skype corporate fact sheet, Feb. 12, 2009
 TelephonyOnline http://www.telephonyonline.com/residential_services/news/magicjack-two-million-customers-0106/index1.html
 Wikipedia, Feb. 12, 2008, http://en.wikipedia.org/wiki/Skype and corporate fact sheet.
 Davidson, Alistair, and Copulsky, Jonathan: “Managing Mavens: relationships with sophisticated customers via the Internet can transform marketing and speed innovation.” Strategy and Leadership, Vol. 34, No. 3. 2006 also available at http://www.deloitte.com/dtt/cda/doc/content/us_tmt_ManagingWebmavens_Article_022206.pdf
 Keith Nissen, Keith: “The Media Phone Has Arrived”, In-Stat, Document IN0904563RC
Trademarks referenced in the article are owned by the providing companies.