Home
Article
Using a can of baked beans to figure out consulting pricing

Using a can of baked beans to figure out consulting pricing

Using a can of baked beans to figure out consulting pricing

GET THE #1 EMAIL FOR EXECUTIVES

Subscribe to get the weekly email newsletter loved by 1000+ executives. It's FREE!

Chris Dunlop's photo
Author
Chris Dunlop

How does consulting differ from buying a can of baked beans?

Baked beans price selling chart

Baked Beans: It's basically consulting

I know, it's a strange question, but bear with me. I'm using a concept called progressive elaboration to help me explain a problem. Progressive elaboration is a project management technique that allows you to start with a simple concept and build on it as you learn more.

I'm using this analogy to illustrate a key difference between consulting services and other products. The ultimate aim is to shed light and learn something around pricing consulting services.

Buying Baked Beans

When you buy a can of baked beans, you know exactly what you are getting. You know the price, the quantity, and the quality. You can compare it to other cans of baked beans and make an informed decision.

  • Buyer - I want baked beans, here is how much money I am willing to pay for this.
  • Seller - Here are the beans, here is the price

Baked beans price selling chart

Put another way, you can visualise it as a simple demand versus supply curve.

Baked beans price selling chart - demand versus supply

Let's whack some numbers and formulas on this simple model.

Us = Price - Cost

The utility to the seller is the price they sell the beans for minus the cost of the beans.

Ub = Value - Price

The utility to the buyer is the value they get from the beans minus the price they pay.

Consultant selling baked beans

My argument is that consultants typically price their services as though they are selling baked beans. A consultant will look at the time it takes to do the job, the cost of doing the job, and then add a margin on top.

Baked beans price selling chart - demand versus supply

But let's imagine for a second, that these aren't just regular beans and this isn't just a regular market. Let's imagine that these are special consulting beans and we are selling not to hungry customers, but to enterprise businesses.

Consulting Bean

Baked beans price selling chart

What are the special properties of these beans?

  • Well, they are beans that other people are highly interested in who else has eaten before. To the point, that if someone has a friend that has eaten these beans, even 4 years ago, they are more likely to buy them.

  • Everytime you sell these beans you learn something new. You learn how to make the beans better, you learn how to sell the beans better, you learn how to make the beans faster. You learn if you need to chnage the recipe of the beans.

  • Everytime you sell the beans to a new person, it opens up the opportunity to sell more beans to other people that are similar to that person.

  • These beans have the ability to earn the buyer of the beans more money or to potentially save them money.

To Summarise

  • Future Work - The potential for future work with the client.

  • Brand Enhancement - The potential for the consulting work or the association to the client to enhance the consultant's brand.

  • Internal Skills Upgrade - When a job is finished, the consultant has often learned new skills or upgraded existing ones. There is clearly some value to this.

  • Adjacent Market Opportunities - The potential for the consulting work to open up new markets or clients.

How would this change the utlity functions?

Firstly, there would be several other things, that we would have to consider

Us = Price - Cost + α · S

The utility to the seller is the price they sell the beans for minus the cost of the beans plus some strategic value, with alpha being a coefficient that captures the strategic value of the job to the consultant.

Ub = Value - Price + β · R

The utility to the buyer is the value they get from the beans minus the price they pay plus some additional benefits, with beta being a coefficient that captures other benefits like reliability, brand value, etc., and R is a measure of these additional benefits.

The Consultant's Utility Function

UC = P - C + α·S

This function captures both financial and strategic benefits of a consulting job

Financial Components:

  • $ P: Price charged for the service
  • $ C: Cost incurred to deliver the service

Strategic Components:

  • α: Coefficient for strategic value
  • 🏅 S: Satisfaction and strategic benefits

Factors Included in S:

  • ↗ Market Positioning
    How the job helps position against competitors
  • 🏅 Brand Enhancement
    Opportunities to enhance reputation
  • 📚 Learning and Development
    Gains in skills or knowledge for future projects
  • 🧑‍🤝‍🧑 Client Network Expansion
    Potential for new clients or markets

Key Considerations:

This model helps us to see some key considerations when pricing consulting services:

  • There is a balance between immediate financial gains (P - C) and long-term strategic benefits (α · S)
  • There is an importance of accurately estimating α and S for each project
  • There is potential trade-offs between financial and strategic components
  • Long-term impact of strategic benefits on future consulting opportunities

Defining Alpha

Impact of Strategic Benefits on Consultancy's Value

Low
Projects that offer marginal strategic benefits, such as small gains in market visibility or minimal network expansion.
α Value: 0.05 - 0.1

Moderate
Projects that offer noticeable strategic benefits, including moderate improvements in market positioning or competence development.
α Value: 0.1 - 0.2

High
Projects that significantly enhance the consultancy's capabilities, market position, or lead to major client network expansions.
α Value: 0.2 - 0.35

Very High
Projects that are expected to transform the consultancy's market standing, open up new markets, or dramatically increase brand value.
α Value: 0.35 - 0.5

Note: α values should be adjusted based on specific project contexts and consultancy strategies.

Why is Alpha Capped at 0.5?

The capping of the coefficient α at 0.5 in this model is a design choice based on a few practical considerations:
Balance of Financial and Strategic Benefits
The utility model aims to balance direct financial gains (profit from price minus cost) with strategic benefits. Setting α to a maximum of 0.5 ensures that the strategic value does not unrealistically outweigh the financial outcomes of a project.

This prevents scenarios where a project might be pursued solely for its strategic benefits even if it doesn't meet financial expectations, which could risk the consultancy's overall financial health.
Sustainability of Value Attribution
Assigning too high a value to α might overemphasize the potential future benefits at the cost of current profitability.

In business, while strategic advantages are important, they must be tempered with a sustainable business model that ensures profitability and operational continuity. Capping α ensures that strategic decisions are still grounded in financial reality.
Conservative Estimation
In predictive modeling and strategic planning, it's often prudent to err on the side of conservative estimation, especially when projecting future benefits that are not guaranteed.

By capping α at 0.5, the model inherently incorporates a level of risk aversion, acknowledging that while strategic benefits are important, they come with uncertainties and should not be overly relied upon.
Manage Expectations and Stakeholder Confidence
From a stakeholder perspective, keeping α at a conservative maximum ensures that decisions are perceived as balanced and not overly speculative.

This helps in managing expectations and maintaining confidence among stakeholders, particularly investors, who might be wary of strategies that place excessive emphasis on long-term, uncertain returns.
Empirical Basis
Often, caps like these are derived from empirical data and industry standards.

If historical data suggests that strategic benefits contribute at most to half of the utility derived from a project, setting α to a maximum of 0.5 would align with such findings.

Utility Function of the Client

UCl = V - P + β·R

Captures the value, cost, and additional benefits of consulting services for the client

Value and Cost Components:

  • V: Value derived from the service
  • $ P: Price paid for the service

Additional Benefits:

  • β: Coefficient for additional benefits
  • 🏅 R: Measure of additional benefits

Factors Included in R:

  • 🛡️ Reliability
    Consistency and dependability of the consulting service
  • 🏆 Brand Value
    Prestige or reputation associated with the consultant
  • ⚡ Expertise
    Specialized knowledge or skills brought by the consultant
  • ↗ Long-term Impact
    Potential for sustained improvements or growth

Key Considerations:

  • Balance between immediate value (V - P) and additional benefits (β · R)
  • Importance of accurately estimating V for proper decision-making
  • The role of β in weighing the importance of intangible benefits
  • Potential long-term impact of R on the client's business beyond the immediate project
  • Comparison of UCl across different consulting options or alternatives

So in this case we have a clear objective function.

Objective Function:

maximize max(UC, UCl)

Where UC = Consultant's Utility, UCl = Client's Utility

Consultant's Constraint:

UC ≥ TC
Consultant's utility must exceed threshold TC

Client's Constraint:

UCl ≥ TCl
Client's utility must exceed threshold TCl

Key Considerations:

  • Balance between consultant's and client's utilities
  • Meeting or exceeding both threshold values (TC and TCl)
  • Interdependence of fee, scope, and quality in utility calculations
  • Potential trade-offs between consultant and client utilities

Critical Points:

  • If UC < TC: Consultant may discontinue services
  • If UCl < TCl: Client may seek alternatives
  • Optimal solution requires satisfying both constraints simultaneously

Unifying Formula

Bringing it all together, here is my unifying formula for the consulting model:

Consulting Chart of the different prices a consultant could charge

In Plain English

The price of a consulting service should be between what makes it worth it for the consultant and what the client is willing to pay based on the value they get, taking into account the strategic benefits and additional advantages that the value of the work brings to the client.

Consulting Chart of the different prices a consultant could charge

Client Chart of the different prices a client could pay

Bringing both of these graphs together, we can see the overlap of the two functions.

Combined value consulting Price Range Chart

This graph should be intuitive for any consultant. Essentially the middle of the graph represents the balance between the consultant and client interests.

Key benefits of this model

I tried my best to make this blog post readible. I think the applications of this model are going to be more interesting and provide some unique insight. With that said, here are some of the key advantages of this model.

  • Value Alignment Visualisation:

    • Clearly shows how a consultant and client perceptions of value align or differ.
    • Helps identify potential areas of misalignment in value perception.
  • Helps illuminate the consultant blindspot:

    • Highlights the strategic benefits and long-term value of consulting work.
    • Encourages a more holistic approach to pricing and value assessment.
  • Pricing Strategy Insights:

    • Illustrates the "sweet spot" for pricing (Target Price zone).
    • Shows potential for additional value capture beyond the target price. Considering that the product you are selling most likely has it's own economic utility to the client.
  • Client Perspective Understanding:

    • Highlights what clients consider as tangible value vs. potential overpayment.
    • Aids in tailoring proposals to emphasize client-perceived value.

Resource - Consulting Model Table

I have created a resource to put this into practice and to help you understand the model better. You can find it here.

I intend to write a follow-up article on how to use this model in practice, and how to use it to inform pricing strategies and bid no-bid decisions.

Thanks for reading! If you found this helpful, please share this article with 1 friend!

More Articles

The Hidden Psychology of Decision-Making: What Executives Can Learn from Hostage Negotiators

ARTICLE

The Hidden Psychology of Decision-Making: What Executives Can Learn from Hostage Negotiators

Explore how understanding emotional under currents can enhance decision-making in business...

What Every CEO Can Learn from GitHub's 100-Day Leadership Challenge

ARTICLE

What Every CEO Can Learn from GitHub's 100-Day Leadership Challenge

How Nat Friedman's Bold 100-Day Strategy Transformed GitHub and Redefined Leadership....

Do you lead people? Your mood is like electricity - it spreads

ARTICLE

Do you lead people? Your mood is like electricity - it spreads

Discover how a leader's emotional state can spread through an organisation like wildfire, influencing performance at every level...

No Rules Rules: Netflix and the Culture of Reinvention

BOOK REVIEW

No Rules Rules: Netflix and the Culture of Reinvention

An inside look into the culture of Netflix...

51 Books Every Executive Should Read in 2024

BOOKS

51 Books Every Executive Should Read in 2024

Hand picked, each of these has shaped us in some way...

Jeff Bezos is famous for reading slowly - here's why you need to do it too

ARTICLE

Jeff Bezos is famous for reading slowly - here's why you need to do it too

Honestly this is not an easy thing to do. I tried and it felt like the mental equivalent of deadlifting

The Trillion Dollar Coach: Steve Job's Coach

BOOK REVIEW

The Trillion Dollar Coach: Steve Job's Coach

This is a simple book that is a must read for any leader...

AI paying Humans?

ARTICLE

AI paying Humans?

A new company Payman is betting that the future of work involves AIs paying us to do their boring tasks ...

AI-Powered Networking: Building 50+ Connections in a New City

ARTICLE

AI-Powered Networking: Building 50+ Connections in a New City

Discover how I leveraged AI to transform networking in London, creating a scalable system for building meaningful professional relationships.

The 5 Word Meeting Technique

ARTICLE

The 5 Word Meeting Technique

Google, Apple and Amazon were told to run their companies this way...

Running a large organisation? You need to think this way

ARTICLE

Running a large organisation? You need to think this way

Day one thinking and why you need to make sure that your company thinks like this...

Using a can of beans to figure out consulting pricing

ARTICLE

Using a can of beans to figure out consulting pricing

Get better at pricing your consulting jobs...

The Time a PhD Mathematician Won the Olympics

ARTICLE

The Time a PhD Mathematician Won the Olympics

The story of Anna Kiesenhofer's incredible victory in Tokyo

The Economics of Airbnb Icons

ARTICLE

The Economics of Airbnb Icons

Why exactly did they build the UP house?

Olympic Glory in the Digital Age: How Paris 2024 Reshaped Athletes' Social Media Landscapes

ARTICLE

Olympic Glory in the Digital Age: How Paris 2024 Reshaped Athletes' Social Media Landscapes

We look at Instagram follower counts and see if there is a correlation between winning a medal or not...

25 Strategic Moves That Established Companies Need to Steal from Startups

ARTICLE

25 Strategic Moves That Established Companies Need to Steal from Startups

Sick of slow progress in your organisation? This will help you focus on what matters...

Struggling to Empower Your Team? Read This Book

BOOK REVIEW

Struggling to Empower Your Team? Read This Book

Learn how the best companies build products...

How Youtube can help you to find your North Star Metric

ARTICLE

How Youtube can help you to find your North Star Metric

Learn why the biggest companies choose one thing to focus on...

Company

Site Information

Fun Stuff

© 2024 Cub Digital. All Rights Reserved.