Nov 7, 2024 | Analytics, Management, Marketing, Strategy
How do you anticipate the reactions of competitors to your initiatives?
First you must understand them holistically and well. The better you understand them, specifically the strategic and tactical frameworks they work with, the better able you will be to anticipate and respond. You should also reflect on the leadership of your competitors, as their behaviour drives their decision making.
11 questions to ask yourself and your team:
- Will they react at all?
- Will they see and understand the strategic and tactical drivers of your actions?
- Will they feel threatened?
- Will mounting a response be a priority?
- What options will they actively consider?
- Do they have the right mix of resources to respond meaningfully?
- Which option are they most likely to choose?
- How many moves ahead do they look: do they play draughts or chess?
- What metrics do they use that will influence their decision making?
- What are the lead times required to respond effectively?
A final and key question in this volatile environment that is often missed:
- Who might emerge to be a competitor, who could change the dynamics of your market that currently would not be classed as a genuine competitor?
Commercial history is littered with failures to see the possibility of a disruptive new competitor emerging from left field.
Anticipating competitor reactions to your initiatives is a competitive superpower.
It enables you to strike at their weak points, and repel their advances at minimum cost to you, while having them consume resources for no result.
The downside of focusing on competition is that your customers do not see the world as you do. They are looking for the supplier who best addresses their need, solves their problem, or scratches their itch.
Those who spend their time looking over at their competition are risking taking their eyes away from their current and future customers. Lose sight of your customers, and one way or another, you will be eaten!
Oct 14, 2024 | Analytics, Marketing
Against my better judgment, I recently engaged in a conversation about the ‘Law of Purchase Duplication’ with a young marketer. He seemed quite convinced that he was delivering a groundbreaking insight to a marketing dinosaur.
In essence, the law argues that the larger a brand’s market penetration, the more likely a consumer is to purchase alternative brands within the same category. Smaller brands, on the other hand, struggle with loyalty, relying primarily on occasional or incidental purchases when they fall within a larger brand’s ecosystem.
This concept, while not new, remains fundamental to understanding brand dynamics in the marketplace.
Back in the day, we referred to it as the purchaser’s ‘acceptable pool of brands.’
This young hot shot expanded on the advantages of being the dominant brand, and how it becomes self-sustaining through positioning, weight and quality of advertising, brand salience, product accessibility, and consumer perception. While this may all be true, the notion of it being ‘self-fulfilling’ is a step too far.
The reality is that maintaining market dominance requires constant effort and adaptation to changing consumer preferences and market conditions.
During our discussion, the topic of brand loyalty surfaced, leading to several useful questions about what brand loyalty truly means in today’s fast moving consumer markets:
- Does it mean that no other brand will ever be purchased under any circumstances?
- Does it only matter when a preferred brand is unavailable?
- Is there a sliding scale of brand loyalty that correlates to price differences?
- How does this law of duplication apply to sub-categories within the same brand?
- What are the varying impacts of demographics and psychographics of consumers?
- Could brand loyalty simply be a combination of awareness and preference, disconnected from actual purchasing behaviour in-store?
These questions highlight the complexity of consumer brand loyalty and the need for an understanding of the nuanced drivers of consumer behaviour in every market.
Over the years, I’ve been intimately involved with several instances where this so-called ‘Duplication of Purchase Law’ played out in real-world brand battles:
Meadow Lea Vs all comers. The rapid ascent of Meadow Lea margarine in the late 70s and early 80s was astonishing. The brand evolved from one of many competitors to a market leader, at its peak dominating with three times the market share of its nearest rival. Although it was driven by exceptional advertising, there were several alternative brands consumers could have turned to. However, consistent availability, competitive pricing, and in-store sampling helped cement its position. These instore marketing activities supported the brand advertising that built long term brand salience and loyalty.
Yoplait Vs Ski. The yogurt wars between Yoplait and Ski during the 80s and 90s are another example. Yoplait initiated huge market growth by making yogurt mainstream when it launched. This left Ski, the previous leader, floundering and scrambling to recover. Both brands became largely interchangeable despite product differentiation. Yoplait strawberry was an acceptable alternative to Ski strawberry, and vice versa. However, this dynamic didn’t extend evenly across other flavour categories or packaging formats. If Ski strawberry was unavailable, Yoplait strawberry was more likely to be purchased than an alternative ski flavour. These inconsistencies across the product categories and pack sizes, highlighted how nuanced and context-specific the Duplication of Purchase Law can be.
Having reliable data from the likes of Ehrenberg-Bass provides the statistical credibility necessary to sell what to date have been qualitatively understood wisdom, to the boardroom. However, it’s crucial to remember that this qualitative wisdom, built over time, should never be discarded or obscured by academic multi-syllable descriptions or management jargon. One-dimensional data cannot replace the wisdom accumulated by thoughtful marketers over time.
Oct 11, 2024 | Analytics, Operations
Real-Time Feedback is the objective of any effective performance management system. We instinctively knew how to generate and leverage feedback as kids. Remember that cricket scoresheet a parent kept during a Saturday morning game? It could just as easily have been netball, hockey, soccer, or footie.
Every ball bowled was accounted for in real-time: a run, a wicket, who bowled the ball, and who was the batsman. This real-time recording enabled tactical choices at every ball. This is a ‘box score.’
By contrast, typical accounting systems look at what’s happened up to a point in time, often monthly, in arrears.
Translating real-time game results to a commercial context makes perfect sense. It enables decisions on a short-term basis that maximises outcomes.
Adapting to this change isn’t easy, as our accounting training, established processes, and regulatory systems are geared to historical data, not real-time. They use ‘standards’ and reporting templates that obscure real-time detail.
Successful businesses find ways to translate the outcomes of their actions into visible measures of real-time performance from which they can learn, iterate, and improve.
Following are six tactics you might consider implementing to improve your performance.
-
-
- Break down your processes into their component parts, as far down as you can.
- Identify the bottlenecks in those processes. These usually become obvious the further you break the processes down.
- Choose the two or three key metrics that track performance of that part of the process, make them transparent via dashboards, and give the operators the power to adjust and improve.
- Leverage technology to both do the measuring, and providing the real time feedback. This can be a simple as a digital display of unit movement down a production line, or sales orders received.
- Start small, and build as the ‘performance bug’ bites those involved. Achieving this sense that there is a ‘performance bug’ around is a function of the leadership and resulting culture that is built.
- Integrate the dashboards in a process I call ‘Nesting,’ so that each board builds on the ones that contribute to it. For example, a dashboard that reflects the units going past a specific point in a manufacturing process, build to one that reflects the output of that specific production line, which builds to a factory wide dashboard.
This is all easy to say, but very hard to do. However, if it was easy, everyone would be doing it
Header credit: Wikipedia. The scoresheet in the header is the scoresheet of Australia’s first innings in the Ashes test against England at the Gabba in 1994. Michael slater scored 176, mark Waugh 140, and Glenn McGrath did not disturb the scorers, shooting another duck. A perfect example of a ‘Box Score’.
Oct 8, 2024 | Analytics, Innovation, Strategy
Have you ever been in a situation where you just ‘know’ a course of action is right?
No data, no detailed scenario planning, you just know.
I have.
Where does that confidence come from, and is it justified?
Have you distinguished between genuine intuition, based on experience and knowledge, and the overconfidence that can arise from a lack of awareness of one’s limitations?”
In my experience which includes choices that have been both very good, and very poor, there are two qualitative drivers of those good choices.
Significant domain experience.
This experience does not come from being around for a while, it comes from taking action many times, and learning from the outcomes, resetting, and trying again.
For example: a seasoned chess grandmaster can often intuitively anticipate the best move without consciously calculating every possible outcome, drawing on years of experience and pattern recognition.”
Learning from analogy.
When you see a course of action succeed in other domains that have some similarity to your own, you can infer that the success may be repeatable in yours.
For example: The introduction of disc brakes in cars came from their development for use in stopping aeroplanes when landing.
In a world increasingly dominated by data, it’s crucial to remember that while numbers provide valuable insights, they should not be blindly trusted. True wisdom often lies in the delicate balance between data-driven analysis and the intuition honed through experience and learning from mistakes.
Chess is a game where a grand master has a store of intuition gathered and sorted by years of practice that is leveraged instinctively when playing.
Sep 18, 2024 | Analytics, Governance
Economic Value Added, EVA, is another of those annoying acronyms accountants tend to use to confuse simple marketers. Therefore, it is a term marketers must understand if they are to hold their own in the boardroom.
EVA is a calculation used to measure the net cash flow from an asset, after taking into account the cost of the capital necessary to acquire that asset. It is often a part of a business case made to support a major investment or M&A proposition.
There are a couple of calculations that need to be made, all from the standard company accounts.
- The net cash flow is obvious, what comes in versus what goes out, as a result of deploying the asset.
- The cost of capital will be some combination of the cost of equity and the cost of necessary borrowings.
When the net cash flow is greater than the cost of capital, the asset is generating value. When it is less, it is destroying value.
The formula is simple: EVA = Net cash after tax – capital invested X the weighted cost of that capital.
The shortcomings of an EVA calculation are twofold:
- It is based on the past. The cost of capital yesterday is unlikely to be the same tomorrow. Interest rates bounce around, and the mix of debt and equity while not as volatile does change with circumstances.
- Increasingly business transactions are being done on the basis of intangibles. Costing the replacement value of intangibles, is a practise lacking discipline, consistency, and financial rigor.
Building a business case for an investment always requires deep consideration of the cash flow results of that investment. By definition, that requires a forecast of the future be done as the driver of that cash flow.
It is always easier to take the past and extrapolate, than to spend the time and energy building a strategic case for an investment. A strategic case requires that the relative costs and benefits of differing choices be articulated, in an environment of information scarcity. A much more demanding task than constructing a future that is the same as the past, and hoping that this time, it will be.
Header illustration by AI, in a few minutes.
Aug 14, 2024 | Analytics, Marketing, Sales
There is lots of talk, often sales-hype from digital urgers, about Lifetime Customer Value. When applied correctly, it is a vital measure, but when you look closely, it often means lifetime customer revenue.
Revenue is of little commercial value in the absence of margin, so the discussion can be completely misleading.
Understanding the margin generated by customer segments, or in some cases, individual customers is an immensely valuable metric that enables you to focus resources where there is the most benefit to the enterprise. You can make informed tactical choices with a great level of confidence based on the margin delivered.
Customer margin is also an enormously useful metric elsewhere.
Sales people are often rewarded on revenue, which can be gamed. Margin over time is much harder to game, and a far better measure of the effectiveness of a salesperson in delivering value to the enterprise while serving customers.
Similarly, calculating the cost of acquisition of a customer gains traction when measured against margin rather than revenue.
One of my clients businesses relies on referrals as a source of business. Increasingly they are moving towards margin on converted referrals as the single metric that best measures the impact of their marketing and product delivery efforts.
You cannot generate margin in the absence of revenue, but you are easily able to generate revenue without margin. Not a good idea!!
As an aside, also beware of the difference between margin and mark-up. They are similarly often used to mislead the unwary.
