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At the intersection of design, engineering and marketing, where brand meets demand, we blend creativity with data efficiency to give your business an edge to thrive.
Explore, customize, and visualize in 3D.
Future-ready interiors and environments for aviation and next-gen air mobility.
Visualizing the frontier of space through compelling, human-centered design.
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We are fans of iterative experimentation, especially in start-ups. Pricing is no exception. Just like a design + landing page can be used for test marketing a product’s need, we have often argued that that products should first and foremost be designed around the willingness to pay, thinking through monetization up front for any new product. These are our notes inspired by the Book “Monetizing Innovation” by Madhavan Ramanujam, and Georg Tacke
Building around price is the best path forward according to consultancy Simon-Kucher & Partners. They have managed over 125 projects for companies ranging from hot startups to the Fortune 500, and advises companies on several topics including new product monetization, acquisition and growth strategy, pricing strategy, packaging and bundling strategies, and price implementation. Below we share,
Porsche knew it was taking a tremendous risk by building an SUV, veering from its traditional wheelhouse of sports cars. So the company focused on benefits customers were willing to pay for. The result was a car perfectly designed around features customers wanted, like larger cup holders, at a price they were willing to pay. All the items customers weren’t willing to pay for, like Porsche’s famous six-speed racing transmission, were thrown out, even if their engineers loved them.
How to combat feature shock: Beware when your R&D team wants to add a feature but can’t articulate its value to a customer. Instead of cramming tons of features into one product, practice restraint. Separate your customers into buckets depending on their needs, values and WTP. Then tailor your products differently to each segment. Essentially, you want to sort features into different buyer groups and create an offer or bundle that has an OMG appeal to each.
How to catch Minivations: Watch your team’s attitude before and after the product launches. Some early warning signs may be
How to harness hidden gems: The big miss with hidden gems lies in failing to recognize the value and often disruptive power they represent. These ideas often never make it to the executive suite because they are stopped by mid-level executives who are either unable to see their potential or are scared of disturbing the status quo. Typical symptoms are everyone is playing it safe, and no one is responsible for getting the most out of this gem. A more open culture or bringing in the right experts can prevent these ideas from being lost too early.
How to avoid the Undead: Undead products happen when proponents wildly overstate customer appeal and don’t segment the customer base effectively. To avoid this,
The most successful innovators start by understanding their customers needs and developing products around what they are willing to pay to address those needs. It’s not enough just to think about price beforehand – you have to iterate and test your assumptions and talk to buyers at length to truly understand whether your product has a shot. There are several different monetization strategies, and one key thing we stress is that all customers are not the same. Every situation requires a different strategy.
How to have the WTP conversation
In his Book, Monetizing Innovation Madhavan Ramanujam from Simon Kucher makes these recommendations on how to ask the right pricing questions. Before investing in your product, directly ask your customer what they’re willing to pay — but do it in a smart way. Present the item and ask:
a. Direct questions. Examples:
– “What do you think could be an acceptable price?”
– “What do you think would be an expensive price?”
– “What do you think would be a prohibitively expensive price?”
– “Would you buy this product at $XYZ?”
After you ask the first question, they’ll give you a low-ball price. Then they’ll give you the ceiling and the cut-off point. These are three very powerful data points. Here’s what each data point tells you:
The acceptable price: An acceptable price is the price that people are super comfortable paying. No friction, they just love your pricing because it’s a steal. If you’re pricing for growth, maybe you can price in the acceptable area.
The expensive price: Expensive is the price that they would actually pay you, but they don’t like it. Neither do they hate it, but it’s the price usually that’s aligned with value.
The prohibitive price: The prohibitively expensive price is the price that they’ll pretty much be laughing you out of the room. Asking that question gives you some sense of where you can actually be someday, but not at the moment.
b. Purchase probability questions. To gauge product desirability and optimal pricing, companies can employ purchase probability testing. By presenting potential customers with a product concept, its benefits, and a proposed price, businesses can assess interest on a numerical scale. On a scale of 1-5, where 1 is “I’d never buy this product” and 5 is “I’d definitely buy this product”, a low rating of 3 or less indicates the need for price reduction, or product refinement till you get 4s or 5s.. Iterative testing helps pinpoint the price point where consumer interest significantly increases. It’s essential to remember that a “definite buy” rating doesn’t guarantee a purchase – a 5 represents a ~50% probability the person would actually buy it; a 4 represents a 10-20% probability – but it does signal strong potential.
c. Most-least questions. Start with a list of features (e.g., 10 features). Pick a subset of those features (e.g., 6 of the 10 features), and ask customers to pick the feature they value most and the one they value least. Then show a different subset and ask the question again. Repeat this process 5-7 times, until all combinations are exhausted. This helps you identify the most valuable features (the “leaders”) and the least valuable ones (the “killers”). This method takes advantage of the fact that people are better at comparative ranking than absolute valuation, and that they are better at identifying extremes (best/worst) than at figuring out the stuff in the middle.
d. Build-your-own questions. This method should only be done after you have a rough sense of WTP from other methods, such as the 3 methods above. The idea is to give your customers a list of features and ask them to assemble their “ideal product” from this list; the catch is that each time they pick a feature, the price goes up. You then see how many and which features customers add before they stop. Side Note: If this is applied to a real “modular” product use case, then this is the purchase fulfilment workflow that results in the least buyer’s remorse.
e. Purchase simulations. This method should only be done after you have a rough sense of WTP from other methods, such as the 3 methods above. You show a customer a product with a specific feature set and a price point and ask if they would buy it. You then change the feature set and price, and ask the same question. You repeat this 5-8 times, until all combinations are exhausted.
Our Notes: Some of the methods above ask the customer to predict their future behaviour. In our experience, and there is considerable research supporting it, this can lead to very misleading answers. This is the classic problem in economics of the combination of incomplete information, and incentives, such as being paid to participate, can distort judgement. While understanding WTP is essential, in our experience the methods the book recommends aren’t always likely to be effective.
a. Leaders, fillers, and killers.
– Leaders are the must-have features that get a customer to buy a product. These are usually the features with the highest WTP. You must include them and you design product offerings around them.
– Fillers are features of moderate importance, but they are nice-to-haves, and not enough by themselves to get someone to buy.
– Killers are features customers don’t want at all: in fact, they are features that may kill the deal if the customer is forced to pay for them. These should be eliminated entirely from the product. You can usually identify a killer by looking for features that are (a) valued by less than 20% of customers and (b) not valued at all by more than 20% of customers
b. Good, better, and best (G/B/B).
Your customers are not homogenous, so your product shouldn’t be, either. Instead, create different versions of your product to match your major customer segments. This principle even applies to a staple like water. “If it’s in a fountain it’s free, if you put it in a bottle it’s $2, if you put gas in it’s $2.50, if you put in a minibar it’s $5, if you put in an 8-pack of “death-themed” cans, with the tagline “Murder Your Thirst”, it is $35. It’s the same water. Your customers are different. They have different needs, they have different values, and they have different WTP. The only way to cope with this is to embrace customer segmentation.
Rather than build one product for the entire market, package and bundle different products for specific segments. For example:
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1. Goals. The goal you’re aiming for has a profound impact on your pricing strategy, so it’s critical to define it clearly, up front. Are you optimizing for maximum revenue? Market share? Total profit? Profit margin? Customer lifetime value? Something else? You can’t maximize all of these at the same time, so you’ll have to make trade-offs. Example: if you sell your product at $10, you might get 10,000 customers, with a 30% profit margin, whereas if you sell it at $15, you might get 8,000 customers, but at a 50% profit margin. So would you go for 20% more margin, at the cost of 20% fewer customers? Different execs (e.g., CEO, CMO, CTO, CRO, etc) are often optimizing for different goals, so it’s critical to get everyone aligned. One exercise for doing this is to put all the possible goals in a list and give each exec 100 points to allocate amongst those goals. This forces everyone to make trade-offs: e.g., do I give 50 points to this goal or all 100 points? When you compare your answers, you may find shocking disparities. Talk them out and get everyone on the same page.
2. Pricing strategy type. There are three primary types of pricing strategy:
– Maximization, where you pick the maximum price that helps you achieve your goals. Most companies go with this option.
– Penetration, where you intentionally set price below the maximum in an attempt to rapidly gain market share and then systematically raise prices later. This works well if your product creates highly loyal customers; otherwise, they will flee when prices go up.
– Skimming, where you intentionally set a price above the maximum to cater to the early adopters and then systematically lower prices later. This works well when your technology is a significant breakthrough, or if you have production limitations early on.
3. Price-setting principles. Defining these principles up front helps you systematically figure out your initial pricing and to avoid changing pricing in a panic if things aren’t going well:
– Monetization model. Which of the monetization models discussed above will you go with?
– Price differentiation. Will you differentiate your price? If so, based on what factors (e.g., channel, industry vertical, region)?
– Price floors. Is there a price below which you’ll never go?
– Price endings. The most common endings are 0.00, 0.50, 0.99, and 0.95. Endings matter more in B2C; for B2B, whole numbers are usually better.
– Price increases. Will you increase the price over time? If so, how much and at what frequency?
4. Reaction principles. Defining these principles up front helps you systematically modify your pricing after launch, based on what actually happens in the market. Reactions fall into two buckets. The first bucket is reaction to what customers do, and mostly consists of defining your promotional reactions up front: e.g., will you offer discounts or seek premium pricing or something else. The second bucket is reaction to what competitors do, and this involves anticipating what your competitors might do using war-gaming sessions. How likely are competitors to react? Will they react by changing price? Will we update our pricing to match theirs? And so on.
After you’ve figured out your pricing strategy and built a product, you have to figure out how to communicate the value of that product to customers. There are two techniques to use here:
1. Benefits statement. Instead of simply listing product features, focus on crafting compelling benefit statements that directly address customer pain points. Highlight how your product solves specific problems and delivers tangible value. Tailoring these statements to different customer segments ensures maximum impact. By clearly articulating the benefits, you’ll create a stronger connection with your audience and drive purchasing decisions. For example, Adobe’s benefit statement
2. Value-selling. To maximize the product’s perceived value, create an easy way for customers to quantify the benefits in monetary terms. For example, if time savings are a key selling point, provide a simple spreadsheet tool that enables customers to calculate potential cost reductions based on time saved. This “value calculator” should clearly demonstrate that the product’s benefits far outweigh its price: “product XXX saves you $5M per year!” The value should be vastly higher than the price you’ve set. By making the value proposition tangible and measurable, you increase the likelihood of a sale.
Price is not merely a tag; it’s the compass guiding product development. By prioritizing price from the outset, companies align their offerings with customer value, maximizing the chances of success. Without a clear price, there’s no product. Avoid the trap of feature overload; instead, focus on what customers truly desire and are willing to pay for. Open dialogue with customers about price is essential. Understanding their financial thresholds and preferences is crucial for crafting effective pricing strategies and customer segmentation. Building products based on hope is a risky gamble. A price-centric approach transforms guesswork into data-driven decision-making. By making price a cornerstone alongside product, design, and engineering, companies can transition from hopeful anticipation to bulletproof and confident market entry.