5 Common Landing Page Mistakes and How to Fix Them
A landing page fails when the visitor cannot tell what is offered, whether it fits, why to believe it or what happens next. Fix those questions before changing decorative details. The five checks below turn a vague request to “improve conversions” into work you can inspect.
Key Takeaways
- Match the page to the promise that brought the visitor there.
- Make the action and its consequences explicit.
- Show verifiable proof and information needed for the decision.
- Test completed outcomes, not just button clicks.
1. The button hides what happens next
“Learn more” is reasonable when it opens information. It is vague when it starts a sales form, opens a booking engine or takes payment. Write the button around the actual next step.
These are illustrative copy alternatives, not results from an experiment:
| Next step | Vague label | More explicit alternative |
|---|---|---|
| Search live room inventory | Discover | Check availability |
| Send a sales enquiry | Get started | Request a demo |
| Download an ungated worksheet | Find out more | Download the worksheet |
Keep a short explanation nearby when the action has a cost: whether a card is required, whether someone will call, or whether dates can be changed later. Test by asking a person what they expect before they click, then compare that expectation with what actually happens.
2. Features never become a useful outcome
A feature needs enough context for the intended buyer to value it. “Supplier dashboard” names a component; “See each supplier's next delivery date in one place” explains the task it supports. Do not leap from that to “save ten hours” without measured evidence.
The Biteful case study shows a real restaurant-supply product expressed through its buying task. Use it to inspect the relationship between problem, product and page, not as proof that the same wording will work elsewhere.
For your page, write one sentence for each feature: who uses it, to do what, under which conditions? Remove features that do not help the current visitor choose.
3. The promise and the proof do not match
A claim about speed needs delivery terms or a demonstration. A claim about expertise needs relevant work. A customer logo proves a relationship only if that relationship is accurate; it does not prove every result in the surrounding copy.
Nielsen Norman Group's credibility research identifies disclosure, design quality, current content and connections to other sources as trust factors. Turn that into a page check: can a sceptical reader verify the consequential claim without contacting sales?
Show the product, link the case, state the conditions, and distinguish a customer quotation from a measured business outcome. The five landing-page elements explain how those pieces fit together.
4. The layout gives every element equal priority
A primary action becomes hard to find when badges, navigation, announcements and secondary buttons all demand the same attention. The fix is hierarchy, not automatically deleting content.
For an illustrative hotel offer, group the room photograph, stay dates, inclusions and total-price conditions. Put the availability action with that group. Move unrelated newsletter signup below it. Keep cancellation terms accessible before commitment.
On a phone, test the page with the keyboard open and at enlarged text size. Check whether sticky elements cover the action or policy. Reflow guidance provides a concrete accessibility basis for this review.
5. The page asks for more than the next step needs
A newsletter signup and a reservation have different information needs. Removing every field is not the goal; postponing unnecessary questions is.
For each field, identify the person or system that uses it and when. If nobody can explain why a demo request needs a postal address, remove it. If a booking needs guest count to return valid inventory, keep it and explain unusual constraints.
Baymard's checkout research documents unexpected costs and forced registration as friction in ecommerce. It supports reviewing those decisions, not applying a universal uplift to a hotel or SaaS form.
Fix failures before running cosmetic experiments
Start with broken submissions, misleading offers and inaccessible controls. Then address the largest observed misunderstanding. Measure completed enquiries or reservations, check lead quality or cancellations, and record acquisition changes alongside the results. Core Web Vitals can identify performance problems; a better lab score alone is not a conversion result.
Earlier versions of this post included untraceable client percentages and before/after result tables. Those claims have been removed. The examples above are design proposals; validate them with your own audience and baseline.
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