PERTANYAAN

What is the difference between a “page view” and a “unique page view” in web analytics?
How can a business use a heatmap to identify a problem with its website design?
Explain how website analytics can help validate or invalidate a marketing hypothesis.

STATUS : 100%

KETERANGAN : Sudah Mengerjakan Dengan Baik Dan Benar

BUKTI :

1. Difference Between a “Page View” and a “Unique Page View” in Web Analytics

A page view refers to the total number of times a specific webpage is loaded or reloaded in a browser. This means that if the same user visits or refreshes a page multiple times during a session, each visit is counted as a separate page view.

A unique page view, on the other hand, counts the number of individual sessions during which a page is viewed at least once. Multiple views of the same page by the same user within a single session are counted only once. As a result, unique page views provide a more accurate representation of how many distinct visits included that page.

In summary, page views indicate overall traffic volume, while unique page views reflect actual user reach per session.

2. How a Business Can Use a Heatmap to Identify Problems in Website Design

A heatmap visually represents user behavior on a webpage by showing where visitors click, scroll, and move their cursor most frequently. Areas with high interaction appear “hot,” while low-interaction areas appear “cold.”

Businesses can use heatmaps to identify design problems by detecting elements that receive little or no attention, such as important buttons or calls-to-action that users are ignoring. A heatmap may also reveal that users are clicking on non-clickable elements, indicating confusion in the interface.

Scroll heatmaps help identify whether users are reaching important content placed lower on the page. If most users stop scrolling early, critical information may need to be repositioned. These insights allow businesses to improve usability, layout hierarchy, and conversion rates.

3. How Website Analytics Can Help Validate or Invalidate a Marketing Hypothesis

A marketing hypothesis is an assumption about how users will behave in response to a specific marketing action. Website analytics helps test this assumption using measurable data.

For example, if the hypothesis is that a redesigned landing page will increase conversions, analytics can track metrics such as bounce rate, time on page, and conversion rate before and after the change. If the data shows improvement in the expected metrics, the hypothesis is validated. If not, it is invalidated or requires revision.

Website analytics enables businesses to move from assumption-based decisions to data-driven validation, ensuring that marketing strategies are supported by actual user behavior rather than intuition.