The true cost of a cheap website: three years and lost inquiries.
The price of a cheap website does not show up on the invoice but in three places: the speed and security upkeep of plugin and page builder load, a B2B structure that does not fit the template, and lost inquiries that go unseen because they are not measured. The data does not say “template sites are slow”. This page gives you the way to calculate the price with your own data.
Where does the price of a cheap website show up?
The setup invoice is the visible figure; the real cost comes later and scattered. The first is maintenance: a site that grows with plugins carries each plugin’s updates, compatibility and effect on speed separately. The second is structure: when B2B requirements such as product groups, technical data, a certificate record and a multilingual quote form do not fit the sections of a ready-made template, they are either left out or the template is forced. The third is the unmeasured loss: a buyer who leaves without submitting the quote form does not appear in any report.
The most cited study on the effect of appearance on trust dates from 2002: in the research by Stanford and Consumer WebWatch, 2,684 people evaluated 100 sites, and the look of the design came up in 46.1% of the comments. The study is 24 years old and was done with consumers; it cannot be carried over directly to a purchasing specialist’s quote decision. Nielsen Norman Group’s 2016 assessment also counts design quality as the first factor of credibility, and writes that typos and broken links quickly erode trust. These two sources point in a direction; they do not give an amount.
Are template sites really slow?
Mostly not. In HTTP Archive’s September 2026 data, the share of sites passing Core Web Vitals on mobile is 52.8% across all sites. Most hosted site builders are above this average; those clearly below it are sites built with page builders. We calculated the shares by dividing the number of passing sites by the number of sites tested.
| Platform or tool | Share of passing sites |
|---|---|
| Duda | 85.8% |
| Wix | 80.9% |
| Shopify | 76.2% |
| Webflow | 71.3% |
| Squarespace | 71.0% |
| Drupal | 64.7% |
| Joomla | 57.4% |
| All sites | 52.8% |
| WordPress | 48.3% |
| Divi (page builder) | 41.4% |
| WPBakery (page builder) | 38.7% |
| Elementor (page builder) | 36.3% |
What matters is not the template itself but the load added on top of it. According to the Web Almanac 2025, about 60% of WordPress sites use a page builder, and 43% of these use Elementor. The limit is clear too: no data set has a category called “custom built”. This table does not prove that a custom-built site is fast; whether it is fast is seen from the site’s own measurement. Where to look on a slow WordPress site is covered in the slow WordPress site guide.
Which items make up the total cost over three years?
The total cost needs to be compared by item, not by amount; the amount varies by company, scope and exchange rate. That is why the what determines a website’s price guide gives no amounts. In the table below, we wrote why each item is paid and the limit of its evidence; fill in the amounts from your own quotes.
| Item | What is paid for | Evidence and its limit |
|---|---|---|
| Setup | Design, content entry, launch | One-off; when comparing quotes, ask about the scope line by line |
| Annual licenses and hosting | Theme, plugin and page builder licenses; hosting; domain name | Every paid theme or plugin is a separate annual item; the item grows as their number grows |
| Security maintenance | Core, theme and plugin updates, backups, monitoring | 11,334 new vulnerabilities in the WordPress ecosystem in 2025, 91% in plugins (Patchstack) |
| Speed | Measurement; image and script arrangement; page builder load | Pass rate on page builder sites 36.3–41.4% (HTTP Archive); no data for custom builds |
| Accessibility | Fixing errors, auditing | Detectable errors on 95.9% of home pages; an average of 33.0–75.1 errors by platform (WebAIM 2026); WebAIM writes that the relationship may not be causal |
| B2B structure | Product table, certificate record, multilingual quote form, machine-readable layer | Every requirement that does not fit the template’s sections is added either with a plugin or with custom code |
| Rebuild | Building the site again from scratch within three years | If the setup is short-lived, it enters the three-year calculation as a second setup |
What does security maintenance of a plugin-heavy site require?
Regular updates, and monitoring that the updates have really been installed. According to Patchstack’s 2026 report, 11,334 new vulnerabilities were found in the WordPress ecosystem in 2025, 42% more than the year before; 91% in plugins, 9% in themes, 6 in core. 46% of vulnerabilities were unpatched at the moment they were disclosed, and 17% were of high severity. Wordfence’s 2024 report also counts 96% of vulnerabilities in plugins; because the two reports count with different methods, they cannot be compared with each other.
In core, the rule is simple but often skipped: WordPress officially supports only the latest version. Security fixes are also backported to older branches back to 4.7, but a patch protects only if the latest minor release of that branch is installed. As the number of plugins grows, the maintenance list gets longer; each plugin means a separate update schedule and a separate compatibility question. The checklist is in the website security guide.
How are lost inquiries calculated?
First, you need to know your quote conversion rate from your own data: how many visitors come each month, and how many of them submit the quote form. The denominator of this rate varies by tool: Google Analytics 4 counts sessions, Google Ads counts ad interactions, Microsoft Advertising counts clicks; when several conversions are counted, the rate can even exceed 100%. Write down which denominator you use, and use the same one at every step of the calculation.
| Calculated | Formula | Reading |
|---|---|---|
| Lost inquiries per year | T = Z × 12 × (d2 − d1) | Monthly visitors × twelve months × the difference between the two rates |
| Gross profit from those inquiries | B = T × k × g × L | Inquiries won × annual gross profit per customer × customer lifetime |
| Number of customers that closes the gap | M = ΔK ÷ (g × L) | Extra cost ÷ a customer’s lifetime gross profit |
- Z: monthly visitors
- d1: current quote conversion rate · d2: target rate
- k: win rate from inquiry to order
- g: annual gross profit per customer · L: customer lifetime (years)
- ΔK: three-year extra cost of a custom build
Same visitors, two conversion rates
- ACurrent quote conversion rate
- BTarget rate
- TDifference: lost inquiries, and the orders and gross profit behind them
- 01Monthly visitors
- 02Submit the quote form
- 03Inquiries that turn into orders
- 04Those customers' gross profit: annual profit × customer lifetime
The calculation is based on gross profit, not revenue: lost revenue also includes costs that would never have been incurred to produce it, and makes the loss look bigger than it is. No input has a default value; you choose the target for d2 and write down why you chose it. The lost inquiry calculator does the same calculation step by step.
What does the data on speed’s effect on inquiries say, and not say?
The study Deloitte Digital carried out for Google followed 30 million sessions of 37 brands for about four weeks at the end of 2019. With a 0.1-second speedup on mobile, the progression from form start to submission rose by 21.6% for the six lead generation brands; in the same group, mobile conversion fell by 1.9%. In retail, conversion rose by 8.4%. The study measures a correlation, not a cause; most of the brands sell to consumers.
The evidence closest to a cause is a controlled experiment: in an A/B test that split paid traffic in two, Vodafone Italy improved LCP by 31%; sales rose by 8% and the progression from visit to lead by 15%. On the agricultural marketplace Agrofy, LCP improved by 70% and CLS by 72%, and abandonment during loading fell from 3.8% to 0.9%; this is real user data but again a correlation. According to data Google published in 2017, when mobile load time rises from 1 second to 10 seconds, the probability of bouncing increases by 123%.
None of this data measures a manufacturer’s quote form. What it says: slowness drives people away, and speeding up increases inquiries in some cases. What it does not say: by how much on your site. There is a published visitor-to-lead conversion rate for manufacturing, 2.2%; but it is a marketing agency’s own client data, the number of clients is not disclosed, and it should not be taken as a target. Another report giving a median of 6.6% measures only landing pages, not the whole site.
After how many customers does the extra cost of custom design pay back?
M tells you: divide the extra cost by a customer’s lifetime gross profit. The values below are not real data; they were chosen only to show how the calculation is read.
| Input or result | Sample value |
|---|---|
| Monthly visitors (Z) | 1,500 |
| Quote conversion rate (d1 → d2) | 1.0% → 1.5% |
| Win rate (k) | 10% |
| Annual gross profit per customer (g) | 200,000 TL |
| Customer lifetime (L) | 3 years |
| Three-year extra cost (ΔK) | 1,800,000 TL |
| Lost inquiries per year (T) | 90 |
| Lost customers per year (T × k) | 9 |
| Break-even number of customers (M) | 3 |
| Break-even time | about 4 months |
If the extra cost is three times a customer’s lifetime gross profit, the gap closes after three customers; in this example, because nine extra customers come each year, that takes about four months. The calculation also works the other way: if your site gets a few hundred visitors a month and a customer’s profit is small, the extra cost may not close for years. In that case, the cheap site may be the right decision.
When is a template the right choice?
When visitors are few, the product range is narrow and the quote process runs outside the site. For a single-language presentation site of a few pages, a ready-made template is often enough; the speed data of hosted site builders does not stand in the way either. A custom build makes sense when a product table, a certificate record, several market languages and machine-readable structured data are needed, that is, where the structure does not fit the template. To see the criteria side by side, look at the template or custom design comparison.
How to test it: put the last three years' invoices side by side: setup, licenses, hosting, maintenance and any rebuild. Then take monthly visitors and quote form submissions from your analytics tool. These two tables give you all the inputs to the calculation; the only number left is the target rate you choose.
Let’s do the calculation with your own data together: we put your site and your quote flow through a preliminary review and write down which item is costing you dearly.
Request a free preliminary review
For a site that shows your certificates as a record buyers can verify, B2B website builds and measures the certificate page, the product scope and the path to a quote together.
FREQUENTLY ASKED QUESTIONS
Is a cheap website bad?
No. The data shows that most hosted site builders are above average on Core Web Vitals. The problem is not the price but the mismatch between the structure the site has to carry and the template, and the unmeasured loss.
I don’t know my quote conversion rate; what should I do?
Measure it first: define the quote form submission as a key event in your analytics tool and wait at least a month. A calculation made without measuring only multiplies an assumption.
Is a WordPress site insecure?
Not by itself. 91% of the vulnerabilities found in 2025 were in plugins, only 6 in core. The risk depends on the number of plugins and whether they are kept up to date; the core should also be on the latest minor release of its branch.
How to use Lost inquiry and break-even calculator