Landing page: from the first click to the right next step

Someone who clicks an advert for a specific service wants to find that service on the destination page. A general homepage may be too vague. State early who the offering is for, which problem it addresses and how collaboration begins.

In Google Ads, landing page experience is one of the factors in Quality Score. This does not establish a universal success value for a particular design. What matters is whether the page matches the expectation.

Check the page without an administrator login and at a narrow screen width. Ask someone to explain the offering in their own words and find the intended contact option. Technically, a successful enquiry should be distinguished from merely clicking the send button.

A landing page also needs a clear place within the overall website. Too many nearly identical destination pages make maintenance harder. Coordinating search advertising, web design and SEO therefore begins with the page’s purpose.

Before changing anything, formulate a testable assumption. An example for an editorial review: “Interested people only learn our actual service region during the initial conversation. Clearer regional information directly beside the offering could reduce unsuitable enquiries.” This is an assumption to test, not a promised outcome.

Record the affected page version, reason, planned change and decision criterion. Check the suitability of contacts as well as their number. Fewer enquiries can be useful if people previously often asked about an area or service you do not cover.

Do not change all copy, campaigns and measurement definitions simultaneously if you want to assess the contribution of a single adjustment. The basics of web analytics help align the measurement event with the business question.

An A/B test compares simultaneously delivered variants under a predefined experimental plan. It requires a reliably measured objective, appropriate allocation and enough observations for the intended decision. A blanket minimum visitor count or fixed duration does not suit every website.

With few relevant enquiries, an observed usability test may initially be more useful: ask suitable people to complete a specific task and document the difficulties. This provides indications for understandable improvements but does not statistically prove a higher conversion rate.

For an A/B test, agree the target metric, analysis, duration planning and stopping rules before starting. An early interim result alone is not sufficient reason to declare a variant the winner. Different campaigns, measurement errors or simultaneously changed offerings can distort the comparison.

Test variants also require sound technical handling. Google describes, among other things, canonicals for variant URLs, temporary redirects and removal of test components after completion. Source: Google on website testing and search.