Start by logging in to your Libraro account. Once logged in, go to your Account Dashboard, where all your uploaded and drafted manuscripts are stored.

Once In your account dashboard you will need to click on "Statistics" and this will allow you to see all Writer Dashboard information

This is how the Data should appear on your screen from here you can look at three main aspects of your data, Discoverability, Engagement, Purchase Intent.

Safe Discoverability focuses on how your manuscript is introduced to readers and how effectively it captures their attention at first glance.

The Visibility metric displays a percentage of how many users discovered your in their reader feeds based on their preferences. This is the earliest stage of exposure and plays a crucial role in determining how many potential readers encounter your work. A lower percentage here suggests that your manuscript may not yet be reaching a wide audience.

The Opened Details metric shows how many users moved beyond simply seeing your manuscript and chose to explore it further by opening the cover and reading the blurb. This is an important indicator of how compelling your title, cover, and summary are in encouraging interest.

The Sample Chapter Reads metric reflects deeper engagement. It shows how many readers progressed to reading your work and how far they went. This is broken down into three categories: completed, partially completed, and exited early. A high completion rate indicates that readers who begin your manuscript are engaged and

willing to continue reading.

Together, these metrics highlight the effectiveness of your manuscript’s first impression and its ability to convert visibility into meaningful interest.

Reader Engagement measures how users interact with your manuscript after they have accessed it.

The Likes metric indicates how many readers have shown positive feedback through a simple interaction. This is often the most immediate form of validation but can only be achieved after reading 20% of your sample chapters.

The Comments metric reflects deeper engagement, where readers take the time to share thoughts, feedback, or reactions. This is particularly valuable as it can provide qualitative insight into how your work is being received, this too can only be achieved after reading 20% of your sample chapters.

The Saves metric shows how many users have chosen to bookmark your manuscript for later. This suggests ongoing interest, even if the reader has not completed the work in one session.

The Follows metric indicates how many readers are interested in your future work and have chosen to follow your author profile.

Low or absent engagement across these metrics may suggest that while readers are accessing your work, they are not yet motivated to interact with it. This can highlight opportunities to improve reader connection or calls to action within your manuscript or profile.

Reader Purchase Intent captures signals that indicate whether readers are interested in taking the next step beyond engagement.

The Early Access metric reflects interest in accessing your manuscript when it is available to do so externally, e.g. via Amazon. This is a strong indicator of anticipation and perceived value.

The Total Purchase Clicks metric shows how many users have taken action to access your work via any external links added to your manuscript page that shows keen and an active interaction with your work from a monetary perspective.

These metrics are particularly important from a commercial perspective, as they demonstrate the potential market demand for your manuscript. If these figures are low, it may indicate that while readers are engaging, they are not yet convinced to take further action.

Across all three sections, your manuscript performance can be understood as a journey.

Discoverability determines how many readers find your work. Engagement reflects how those readers interact with it. Purchase intent signals whether that interaction translates into meaningful interest or potential sales.

Strong performance typically requires balance across all three areas. For example, high engagement with low visibility suggests your work resonates with readers but needs broader exposure. Conversely, high visibility with low engagement may indicate that your presentation is attracting attention but not sustaining interest.

By reviewing these metrics together, you can identify where improvements will have the greatest impact and take targeted steps to strengthen your manuscript’s overall performance on the platform,

These should also be used as leverage in conversations with External parties like traditional publishers/ Agents or other platforms to show intent and data behind your works that other authors may not have to differentiate yourself accordingly