The Dashboard is the primary reporting center of AIUNIFY Analytics.
After your Website has been created, connected, and successfully collecting data, the Dashboard gives you a consolidated view of Website activity.
From the Dashboard, you can review:
The actual Dashboard groups these statistics into interactive reporting cards beneath the main traffic chart.
The basic operating flow is:
Select Website → Open Dashboard → Choose Date Range → Review Core Metrics → Examine Traffic Chart → Explore Reporting Categories → Apply Filters → Investigate Detailed Reports
To open the Dashboard:
The Dashboard prominently displays the currently selected Website's domain or Website path.
This is important because all Dashboard data relates to the Website currently selected.
If your account contains multiple Websites, check the Website Selector before interpreting any report.
For example:
Website A
may be:
company.com
while:
Website B
may be:
store.company.com
The Dashboard statistics will change according to which Website is currently active.
A common Analytics mistake is reviewing accurate data for the wrong Website.
Before performing analysis, verify:
Selected Website → Date Range → Filters
At the top of the Dashboard, AIUNIFY Analytics displays the primary Website metrics.
The exact set depends on the Website's Tracking Type.
For an Advanced Tracking Website, the Dashboard displays:
For a Lightweight Tracking Website, the Dashboard displays:
The way visitor information is collected under Lightweight Tracking remains different from Advanced Tracking, as explained in Chapter 3. Lightweight mode does not provide persistent Visitor histories in the same way as Advanced Tracking.
Pageviews represents tracked Website page-view activity for the selected reporting period.
Use Pageviews to understand overall Website consumption.
For example, a Website might have:
Visitors: 500
Pageviews: 1,800
This tells you that Website activity involved substantially more page views than the total visitor count.
Pageviews can help answer questions such as:
Pageviews is one of the primary Dashboard metrics under both Tracking Types.
For Advanced Tracking, the Dashboard also displays:
Sessions
A Session represents a period of Website activity associated with a visitor's visit.
Sessions allow you to distinguish between:
Visitors
and
Visits
because the same returning visitor can generate more than one Session.
The Dashboard explicitly displays Sessions as one of its three primary Advanced Tracking totals.
For example:
Visitors: 1,000
Sessions: 1,450
Pageviews: 4,800
indicates that some visitors returned or generated additional Sessions during the selected period.
Visitors represents the visitor measurement calculated for the selected reporting period.
For an Advanced Tracking Website, this metric works alongside the more detailed persistent Visitor records available through the Visitors area.
For a Lightweight Tracking Website, you may still see an aggregate Visitors total on the Dashboard, but Lightweight Tracking does not maintain the same persistent returning-visitor history available under Advanced Tracking.
The system includes Visitors as a primary Dashboard metric for both modes.
Below the headline metrics is the Dashboard's primary traffic chart.
This chart displays Website activity across the currently selected time period.
The Dashboard's chart contains data series for:
where those metrics apply to the selected Website and Tracking Type.
The visual chart makes it easier to see patterns over time rather than relying only on total counts.
Use the chart to identify:
Is Website activity generally increasing?
Has traffic decreased over the selected period?
Was there an unusually high-traffic day or period?
Did activity suddenly decrease?
Did activity increase after a marketing campaign?
Did traffic behavior change after a Website redesign, new offer, or other major event?
The chart becomes especially useful when combined with Chart Annotations, discussed later in the manual.
If Chart Annotations are enabled and the Website has annotations within the selected reporting period, those annotations can be displayed directly on the Dashboard traffic chart.
The Dashboard groups annotations by their chart date and displays them against the applicable point in the chart.
For example, you could mark:
August 1 — New Campaign Launch
and then observe whether traffic increased after that event.
Annotations help transform Analytics from:
What happened?
into:
What happened, and what business event may have contributed to it?
The Dashboard contains a calendar/date-range control near the top of the page.
Use it to determine which period the Dashboard should analyze.
Available preset ranges include:
You can also select a custom date range.
Changing the Dashboard date range affects the statistics being analyzed.
For example:
Today
helps you understand today's activity.
Last 30 Days
is more useful for short-term performance trends.
This Year
provides broader business-performance context.
All Time
provides the broadest available historical view from the Website's Analytics history.
Choose the period that matches the question you are trying to answer.
The Dashboard's date-range processing uses the timezone associated with your AIUNIFY Analytics account.
This is one reason setting your correct timezone under Account settings is important.
For example, if your business operates primarily in Los Angeles but the account is configured to another timezone, day-based Analytics may not align with how your organization defines its business day.
Near the Website name, the Dashboard provides a quick Realtime status indicator.
For an Advanced Tracking Website, this quick status can display current online Visitors.
For Lightweight Tracking, it can display recent Pageviews.
The Dashboard periodically refreshes this quick Realtime total while the page is active. The source updates this figure every 10 seconds.
Selecting it takes you to the full Realtime report.
The first major Dashboard reporting card is:
All Pages
Within this card, users can switch between:
This lets you examine Website content from several different perspectives.
Pages shows which Website pages generated tracked activity.
Use this report to identify:
For example:
/pricing
may receive significantly more activity than:
/about
That difference can help you understand what content visitors are most interested in.
Landing Pages focuses on the pages where tracked Website visits begin.
This can help answer:
Where are people entering my Website?
Common entry pages might include:
Landing Page analysis can be particularly useful when evaluating advertising and lead-generation campaigns.
The Dashboard explicitly offers Landing pages as a separate page-reporting category.
For Advanced Tracking Websites, Exit Pages identifies pages associated with visitors leaving the tracked Website experience.
This can help identify where Sessions tend to end.
Exit Pages can be useful when reviewing:
The Dashboard only displays the Exit Pages option in this card for Advanced Tracking Websites.
The Dashboard contains a reporting card labeled:
Sources
Its primary options are:
These reports help explain where Website traffic came from.
Referrers identifies external sources that sent traffic to the Website.
The system reports a referring domain and identifies traffic with no referring source as:
Direct
Referrer analysis can help answer:
When you open the more detailed Referrers reporting area, AIUNIFY Analytics can divide source traffic into categories including:
This makes the Analytics platform particularly useful for understanding modern traffic acquisition across traditional search, social platforms, and AI-driven discovery.
AIUNIFY Analytics includes an AI referrer category.
The reporting logic recognizes examples including:
within AI-related referrer reporting.
This can help businesses understand whether AI platforms are becoming a meaningful source of Website discovery and referral traffic.
The Sources card also provides:
UTMs
UTM reporting supports:
UTMs are commonly used in marketing links to identify where campaign traffic came from.
For example:
?utm_source=linkedin&utm_medium=social&utm_campaign=summer_offer
can help identify:
Source: LinkedIn
Medium: Social
Campaign: Summer Offer
UTM analysis can help compare:
Instead of only knowing that traffic arrived, UTMs can help explain which campaign generated it.
The Dashboard contains:
Locations
with options for:
This helps you understand the geographic distribution of Website traffic.
Continents gives you a high-level geographic view.
This can help when a Website receives traffic across multiple global regions.
For example:
This is useful for broad international traffic analysis.
Countries provides a more specific geographic breakdown.
Use it to identify:
Countries is the default active geographic view on the main Dashboard card.
Cities provides more granular geographic information when that information is available.
This can be valuable for:
Geographic Analytics should be treated as analytical context rather than guaranteed precise physical location of an individual user.
The Dashboard includes:
Devices
with reporting for:
This helps explain the technology visitors use when interacting with your Website.
The Devices view shows device categories used by Website visitors.
This can help determine how important different Website experiences are.
For example, if most traffic comes from mobile devices, mobile Website usability becomes especially important.
Device reporting can guide:
Resolutions reports tracked visitor screen resolutions.
AIUNIFY Analytics labels this report:
Resolutions
This can help Website designers understand the screen environments visitors commonly use.
The Device reporting card includes:
Themes
Analytics recognizes:
This can help you understand whether visitors commonly browse using dark or light visual environments.
The Dashboard provides a Browsers card with:
These reports provide additional context about the Website's audience and technical environment.
The Browsers report identifies the browsers used to access the Website.
Use this information when evaluating:
If a large share of traffic uses a particular browser, that browser should generally be included in your Website testing process.
Languages reports visitor browser-language settings.
This can help identify potential demand for:
The interface calls this report Languages.
Timezones reports browser timezone information when available.
This may help organizations understand when and where their audiences operate.
Timezone data can be especially useful when planning:
Another Dashboard reporting card covers:
This combines technical platform information with time-based behavior.
The Operating systems report identifies the operating systems used by visitors.
Examples may include desktop and mobile operating environments depending on collected activity.
This can be useful when diagnosing:
The system labels this report Operating systems and the individual value as OS.
Visiting hours breaks Website activity down by hour.
The system organizes activity into hourly periods such as:
08:00 - 09:00
09:00 - 10:00
and similar ranges.
This can help you understand when your audience is most active.
Hourly activity can help businesses determine when to:
For example, if traffic consistently peaks between 6:00 PM and 9:00 PM, that may influence when the business wants customer-facing resources available.
The Weekdays report breaks Website activity down by day of the week.
This can help identify patterns such as:
Comparing Visiting Hours with Weekdays provides a better understanding of when your audience is active.
At the bottom of the primary Dashboard reporting cards is a direct shortcut to:
Realtime
Use this when you want to move from historical Dashboard reporting into current Website activity.
The dedicated Realtime chapter will explain this functionality in depth.
The Dashboard also provides a direct shortcut to:
Goals
Use Goals when you want to move beyond traffic measurement and analyze whether visitors are completing important Website actions.
Examples include:
The Dashboard includes a shortcut to:
Outbound clicks
Use this section to analyze which external destinations Website visitors are clicking.
Outbound Click reporting requires the Website's corresponding tracking option to be enabled.
The Dashboard contains a Filter button.
When Website Analytics data exists, clicking this control displays:
Active filters
From there, select:
Add filter
to narrow the Dashboard data.
Filters allow you to investigate specific segments rather than looking only at all Website traffic together.
Depending on Website configuration, Dashboard filters can include:
You could filter the Dashboard for:
Device → Is → Mobile
to focus on mobile Website traffic.
Additional filters include:
These filters can be particularly valuable for marketing and conversion analysis.
When creating a filter, the Dashboard lets you choose a matching rule.
Available rules are:
This gives you greater control than simply selecting a predefined value.
Country Code → Is → US
Path → Contains → pricing
UTM Campaign → Is → summer_offer
Referrer Host → Is not → example.com
Device → Is → mobile
Filters can be combined to create more focused Website segments.
To apply Dashboard filters:
The Dashboard then refreshes using the configured filters.
When reviewing Dashboard data, remember that previously applied filters can affect what you see.
For example, if a Device filter is still active, your Dashboard may be showing only:
Mobile
rather than all Website traffic.
Before interpreting unexpectedly low numbers, check:
Date Range → Active Filters → Selected Website
These three controls define the reporting context.
Several Dashboard cards contain a View More control.
Use this when the summary card does not provide enough detail.
For example:
All Pages → View More
opens the more detailed Page reporting area.
Sources → View More
opens detailed Referrer or UTM reporting.
Locations → View More
opens the applicable geographic report.
The Dashboard source provides separate View More links for these reporting categories.
Many Dashboard breakdowns show:
For supported reports, this lets you see both:
How many
and
what percentage
a particular source, page, device, or other category represents.
For example:
Pricing Page — 350 — 28%
is more informative than simply knowing the page received 350 events.
The detailed report rendering calculates each category's percentage against the applicable total.
Some detailed Dashboard breakdowns can also include a:
Bounce
percentage when that option applies.
The Analytics interface labels the metric Bounce, and detailed report rows calculate a bounce percentage when bounce information is available.
Use this as another behavioral indicator when evaluating traffic sources or page performance.
The Dashboard contains an Export control when report data exists.
Available formats depend on your account configuration and can include:
This makes it possible to use Analytics information outside the Dashboard for reporting or further analysis.
For the Website owner, the standard Dashboard can include a Clear statistics control.
The action applies to the currently selected Website and date range.
The confirmation warning states:
Clear the current selected statistics. This action cannot be undone.
Warning: Do not use Clear Statistics simply because you want to change the date range or remove a filter. It is a destructive data action.
If there is no Analytics data for the current Dashboard context, the system displays:
No data available
and advises:
Make sure you have properly installed your tracking code.
However, no data can also be caused by the reporting context.
Before troubleshooting the installation, check:
For a regular Analytics review, use this sequence:
Confirm the correct Website is selected.
Choose the reporting period you want to evaluate.
Review:
Pageviews → Sessions → Visitors
as applicable.
Look for:
Analyze:
Analyze:
Analyze:
Analyze:
Analyze:
Move into:
Use Filters to answer more specific questions.
Suppose your business launches a new campaign.
You could use the Dashboard like this:
Date Range
Select the campaign period.
UTMs
Identify the campaign's Source, Medium, and Campaign values.
Landing Pages
See which pages received campaign traffic.
Devices
Determine whether most visitors arrived from mobile or desktop.
Locations
Identify the strongest markets.
Visiting Hours
Determine when campaign traffic was most active.
Goals
Review conversions.
This turns the Dashboard into more than a traffic counter—it becomes a business-performance analysis tool.
For a monthly Website review:
The Dashboard does not need to answer every business question by itself. Its purpose is to identify patterns and direct you toward the detailed Analytics sections that require deeper investigation.
Use the Dashboard more effectively by following these principles:
Start broad, then narrow.
Review overall traffic before applying filters.
Use consistent reporting periods.
Regular monthly or weekly reviews make trends easier to recognize.
Verify filters before interpreting totals.
Active filters can dramatically change reported numbers.
Use UTMs consistently.
Campaign data is more useful when your marketing links follow a consistent naming convention.
Add Chart Annotations for major events.
This provides context for future traffic analysis.
Review more than Pageviews.
Sources, locations, devices, timing, and Goals often explain more about business performance.
Connect traffic to outcomes.
High traffic is useful, but Goals and conversions help determine whether the traffic is producing desired results.
Before completing a Dashboard review, confirm:
The Dashboard gives you the overall view of Website performance, but Analytics becomes much more powerful when you learn to isolate specific audiences and reporting periods.