Landing page optimization services that start by asking whether you can test at all
At a 3% conversion rate and 8,000 visitors a month, you can detect a 30% improvement in about six weeks. A 5% improvement would take roughly four years. Most testing programmes fail because nobody did that arithmetic first.
Tests sized before they run, stopped on a date rather than on a good result, and reported including the ones that did nothing.
What are landing page optimization services?
Landing page optimization services improve pages that are already live, using evidence from real visitors: deciding what is worth changing, sizing a test properly before it runs, executing it without corrupting the result, and reading the outcome honestly, including when the answer is that nothing happened.
This runs after the other two. The build that lets you publish variants quickly sits on landing page development, and the argument being tested comes from landing page design. Optimization without either of those is guesswork with a dashboard.
Most landing page tests cannot detect what they are looking for
A test needs enough conversions to tell a real difference from ordinary week-to-week variation, and the smaller the improvement you are hunting, the more traffic that takes. The relationship is unforgiving: halving the effect size roughly quadruples the traffic required.
Take a page converting at 3% with 8,000 visitors a month. Detecting a 30% improvement needs around 11,500 visitors, so about six weeks. Detecting 15% needs around 46,000, so about six months. Detecting 5% needs over 400,000 visitors, which at that traffic level is roughly four years. Those are approximations at conventional confidence and power settings, and the shape of them holds regardless of the exact assumptions.
What this means in practice: if your traffic only supports detecting large changes, test large changes. A different offer, a restructured page, a genuinely different argument. Testing a button colour on that traffic is not a small experiment, it is an experiment that cannot produce an answer.
This is the calculation we run before quoting, and it is the reason we sometimes recommend against a testing retainer. Selling somebody twelve months of tests their traffic cannot resolve is an easy thing to do and an indefensible one.
The ways a test lies to you
Even with adequate traffic, the common failures are procedural rather than technical, and each one reliably produces a confident wrong answer.
Stopping when it looks good
Checking daily and stopping the moment significance appears is the most common error in testing. Results fluctuate, so if you keep looking and stop at a high point, you will find winners in tests where nothing is happening.
Running for the wrong duration
Traffic behaves differently on weekdays, weekends and paydays. A test that runs for ten days weights part of the week twice, so tests should cover whole weeks and a minimum of two business cycles.
Testing several things at once
Change the headline, the image and the form together and a win tells you the combination worked, not which part. That is fine if you only want the lift, and useless if you wanted to learn anything.
Measuring the wrong event
Optimising for form submissions when the business needs qualified enquiries produces pages that generate more of the wrong thing. Whatever you make easier, you get more of.
Testing many variants at once
Run enough simultaneous comparisons and something will look significant by chance alone. More variants means more traffic required, not a faster route to an answer.
Ignoring what happened next
A variant can lift form submissions and lower closed deals. If the test only watches the page, that trade is invisible, which is why results should be checked against what the business actually received.
What to do when you do not have the traffic
Most businesses cannot run a meaningful A/B programme, and that does not mean they cannot improve their pages. It means the evidence has to come from somewhere other than a significance test.
Watch real sessions
Twenty recordings of people using the page will show you where they hesitate, what they re-read and where they give up. Small numbers are fine here, because you are finding problems rather than measuring effects.
Instrument the form
Which field people abandon on is a direct answer rather than a hypothesis, and it usually needs no statistics at all. Form analytics is the highest-yield measurement on a low-traffic page.
Ask the people who did not buy
A one-question prompt on exit, or ten minutes with your sales team asking what prospects always want clarified. Objections are cheap to collect and expensive to guess at.
Ship bigger changes
Large effects are detectable with far less traffic. If you can only see big differences, make big differences, and stop spending months on refinements you could never measure.
Fix the certain things first
A broken mobile form, a slow page, a headline that contradicts the ad. None of these need a test to justify. Testing whether an obvious defect is a defect is a waste of traffic.
Before and after, carefully
Where a proper split is impossible, a clean before-and-after over matched periods with stable traffic can be informative, provided everyone remembers it is weaker evidence and says so.
Two of these you can start today. Session recordings and form analytics are cheap, and our bulk PageSpeed checker will tell you whether speed is costing you conversions before you spend anything on testing.
How our landing page optimization services run
Size the programme
Your traffic and conversion rate against the effect sizes you could realistically detect. This produces an honest answer about what kind of testing is available to you, and sometimes the answer is none.
Build the queue
Ideas from session recordings, form analytics, sales objections and the design decisions worth challenging, ranked by expected impact and how much traffic each needs.
Run one properly
Sample size fixed in advance, duration set in whole weeks, one change per test, and no stopping early because it looks promising on day four.
Report it honestly
What we expected, what happened, what we now believe, and whether the change survived contact with the CRM. Flat and negative results get written up too, because they are the ones that stop you repeating an idea.
Expect most tests not to win. That is normal and it is not a failure of the programme. The value comes from a small number of substantial improvements plus a growing list of things you no longer need to argue about internally.
What our landing page optimization services include
Feasibility calculation
What your traffic can detect, in what timeframe, before any money is committed. Delivered even when it says a testing retainer is not appropriate for you.
Prioritised test queue
Ideas with the evidence behind each one, the effect size needed to matter, and the traffic required, so the order is arguable rather than a matter of taste.
Session and form analysis
Recordings reviewed and field-level abandonment measured, which is where most of the useful ideas come from regardless of how much traffic you have.
Test setup and QA
Variants checked across devices before launch, traffic split verified, and tracking confirmed to record the same event for both versions.
Analysis against revenue
Results read at the pre-agreed sample size and reconciled against what the business received, not only what the page recorded.
A decision log
Every test, its hypothesis and its outcome kept in one place, so the programme accumulates knowledge instead of relearning the same lessons each year.
When a testing programme is the wrong purchase
The traffic is too low
Below a few hundred conversions a month, a formal testing programme will not resolve anything useful. Put the money into the offer, the traffic or the qualitative work instead.
The page has obvious defects
Fix the slow load, the broken mobile form and the headline that does not match the ad first. Testing around known problems wastes the traffic you would need for real tests.
Nobody will act on the results
If shipping a winning variant requires three months and a committee, the programme will produce reports rather than revenue. Sort the shipping route before starting.
You need results this quarter
Testing is a compounding, slow discipline. If the requirement is a step change soon, a redesign against a clear diagnosis is more likely to deliver it than an incremental programme.
Landing page optimization services alongside the rest
Landing Page Development
The build that decides how quickly a variant can be published, which sets the ceiling on how many tests a year you get.
Explore landing page development →Landing Page Design
The argument being tested. Optimization refines a case that design has to make in the first place.
Explore landing page design →PPC Audit
When the pages are fine and the traffic arriving on them is the actual problem.
Explore PPC audit →Google Ads Management
Conversion rate and cost per click move the same number. Testing pages while the campaign leaks money fixes the smaller half.
Explore Google Ads →Website Speed Optimization
The improvement you never have to test, because losing visitors before the page renders is not a hypothesis.
Explore speed optimization →Web Development
The parent service, covering build standards and the performance budget across the whole site.
Explore web development →How much do landing page optimization services cost?
Optimization is a retainer because it is a programme rather than a project, and the sensible size of that retainer follows how many tests your traffic can actually resolve in a year.
Diagnosis only
$1,500 to $3,000 once. Feasibility calculation, session and form analysis, and a prioritised list of changes. Often the right purchase for lower-traffic sites, and it ends there deliberately.
Ongoing programme
$2,000 to $5,000 a month. A continuous cycle of research, testing and reporting for sites with the traffic to resolve one or two meaningful tests a month.
High-volume programme
$5,000 upwards a month. Several concurrent tests across page types and audiences, with segment-level analysis and integration into your revenue reporting.
Set against media spend rather than against a design budget. A durable 20% lift on a page absorbing $20,000 a month of ad spend is worth considerably more than the retainer, and unlike a campaign change it keeps paying after you stop working on it.
Common questions about landing page optimization
It depends on the size of the improvement you want to detect, not on a fixed threshold. As a rough guide, a page converting at 3% needs around 11,500 visitors to detect a 30% lift, around 46,000 for a 15% lift, and several hundred thousand for a 5% lift. Below a few hundred conversions a month, put the effort into qualitative research and larger changes instead.
Until the sample size you calculated before starting is reached, and always in whole weeks with a minimum of two business cycles. The duration should be decided in advance and then respected, because the single most common way to produce a false winner is to keep checking and stop on a good day.
Usually one of three reasons. The test was stopped early and the result was noise. The measured event was not the one that makes money, so you generated more low-quality enquiries. Or the result was real but small, and normal fluctuation has since swamped it. Reconciling test outcomes against what the CRM received separates these quickly.
You can, and it changes what you learn. Testing a whole redesigned page against the current one tells you whether the new version is better, not which change did it, which is fine when you want the lift rather than the knowledge. Isolating one variable teaches you something reusable but needs the traffic to support it.
The biggest thing you have evidence for, not the easiest thing to change. In practice that is usually the offer, the headline or the form, because they are where large effects live. Button colours and microcopy are popular precisely because they are easy, and their effects are almost always too small for a typical site to measure.
Not when done normally. Search engines have long supported testing, provided you show the same content to visitors and crawlers rather than treating them differently, use temporary redirects for split URL tests, and take experiments down once concluded. Paid landing pages are frequently kept out of the index anyway.
A minority, and any agency promising otherwise is either testing only safe changes or reading results loosely. The value of a programme comes from a few substantial wins plus the accumulated knowledge of what does not work for your audience. A programme reporting that almost everything wins is a warning sign, not a good result.
Find out what your traffic can actually prove
Send us your landing page traffic and conversion rate and we will run the arithmetic: what size of improvement you could detect, how long it would take, and whether a testing programme makes sense for you at all. If it does not, we will say so and tell you what to do instead. No obligation, no sales pitch.
Get my free landing page review- Feasibility calculated
- Test queue prioritised
- Honest answer either way