How BONSPENT Measures Value
The cheapest option isn’t always the best value.
At BONSPENT, we evaluate decisions by comparing what you get with what you give up — not just the price on the screen.
That means looking at five things:
Money, Time, Experience, Utility and Ease.
Our goal isn’t to find the cheapest choice. It’s to identify where spending more meaningfully improves the outcome — and where it doesn’t.
The BONSPENT Value Framework
At its simplest, we think about value like this:
VALUE = WHAT YOU GET ÷ WHAT YOU GIVE UP
What You Get
Experience
What makes the option enjoyable, memorable or meaningfully different?
Depending on the decision, this may include uniqueness, quality, variety, accessibility or the experience itself.
Utility
What practical benefit does the option provide?
That could mean convenience, performance, comfort, functionality or simply how well it solves the problem.
What You Give Up
Money
Not just the advertised price, but the true cost of choosing an option.
Time
The total time required — including travel, waiting, setup or other time that is easy to overlook.
Friction
Transfers, planning complexity, restrictions, uncertainty, physical effort and other inconveniences also have a cost.
Not all of these factors can be reduced to a single number. When something can be measured reliably, we calculate it. When it cannot, we explain the trade-off rather than pretending the answer is more precise than the evidence allows.
We Measure True Cost
A low headline price can hide the real cost of a decision.
When relevant, BONSPENT calculates:
True Cost = Base Price + Mandatory Fees + Required Extras + Transportation + Recurring Costs − Recoverable Value
The exact components depend on what we are analyzing.
For travel, that might mean adding airport transfers or baggage fees.
For a hobby, it could include equipment, consumables and recurring costs.
For gaming, purchase price may be compared with subscription costs or the amount of actual use.
This allows us to compare what people are really likely to spend, rather than only the number shown in an advertisement.
Time Has Value Too
Saving money is not always a good deal if it requires substantially more time.
BONSPENT therefore separates elapsed time from usable time whenever that distinction matters.
A two-hour train ride where you can work, sleep or relax is not necessarily equivalent to two hours spent standing in queues and making transfers.
In some comparisons, we also use hypothetical hourly values to illustrate what saved time could be worth.
These scenarios are not claims about what your time should be worth. They are decision tools.
For example:
Value of Time Saved = Time Saved × Assumed Hourly Value
This allows readers to substitute their own value of time and reach their own conclusion.
Break-Even Matters More Than “Best”
Many decisions do not have one universally correct answer.
Instead, we often ask:
At what point does paying more become worth it?
For example, when comparing two airports, the question is not simply which airport is closer.
A more useful question is:
How much extra airfare is the time and inconvenience saved actually worth?
The same logic can apply to hotels, flights, transportation, games, subscriptions, equipment and hobbies.
Whenever possible, BONSPENT identifies these break-even points rather than declaring one option the winner for everyone.
Experience Still Matters
Value cannot always be measured by price and time alone.
Travel is a good example.
A destination that costs 20% more may still offer better value to someone if it provides an experience they cannot reasonably get elsewhere.
We therefore consider factors such as:
- Uniqueness
- Quality
- Variety
- Accessibility
- Experience density
These factors are inherently less precise than a train fare or hotel price.
When we use them, we distinguish them from directly measurable data and explain the reasoning behind the comparison.
Our Data Sources
BONSPENT prioritizes primary and official sources whenever practical.
These may include government agencies, transportation operators, tourism authorities, official pricing pages, company documentation and publicly available datasets.
When primary data is unavailable, we may use multiple reliable secondary sources, market data or clearly explained estimates.
We also conduct our own calculations and comparisons using those sources.
The source of a number and the conclusion drawn from that number are not necessarily the same thing.
For example, a railway operator may publish travel times and fares. BONSPENT may then use those figures to calculate the monetary value of the time saved between two routes.
In those cases, we identify the calculation as our own.
Data Confidence
Not every number has the same level of certainty.
We generally think about data in three levels:
High Confidence
Official data, published prices or direct measurements.
Medium Confidence
Multiple reliable sources, market averages or data requiring some interpretation.
Estimated
Sampling, assumptions, modeling or incomplete data.
When estimates are necessary, we aim to make the assumptions visible so readers can decide whether they are reasonable for their own situation.
Our Research Principles
BONSPENT articles may combine official data, independent research, original calculations, comparisons and firsthand experience.
Our editorial approach is simple:
Measurable → Measure it.
Calculable → Calculate it.
Comparable → Compare it.
Subjective → Explain it.
Experienced firsthand → Say so.
We do not present estimates as confirmed facts, and we update articles when meaningful new data becomes available.
BONSPENT Picks
When we highlight an option, it does not necessarily mean it is the cheapest.
A BONSPENT Pick represents an option that provides a strong balance between what you get and what you give up under the conditions described in the article.
Different travelers, budgets and priorities can reasonably lead to different choices.
That is why our articles aim to show the trade-offs and calculations behind the conclusion — not simply tell you what to buy or choose.
Our Editorial Principle
Cheapest isn’t always best.
Faster isn’t always worth paying for.
And more isn’t always better.
The question BONSPENT ultimately asks is: