Annotations allow you to place important business events directly onto the AIUNIFY Analytics Dashboard chart.
Instead of looking at a traffic increase or decline later and wondering what happened, you can create an Annotation documenting the event that occurred at that point in time.
AIUNIFY Analytics labels this feature:
Chart annotations
and describes it as:
“View and manage all your chart annotations.”
When no Annotations exist, the system encourages you to:
“Celebrate & visualize your milestones directly on the charts.”
The basic workflow is:
Business Event → Add Annotation → Select Date/Time → Annotation Appears on Dashboard Chart → Compare Event with Analytics Performance
A Chart Annotation is a named marker associated with a specific:
Annotation datetime
For example:
Summer Campaign Launched
at:
August 10, 2026 — 9:00 AM
When the Dashboard reporting period includes that date, AIUNIFY Analytics can display the Annotation directly on the Analytics chart at the corresponding point.
Analytics data explains:
What changed
Annotations help preserve context about:
What happened when it changed
For example:
Traffic increases sharply on August 10.
Without an Annotation, months later you may not remember why.
With:
Summer Advertising Campaign Launched
on August 10, the chart itself preserves the business context.
Annotations are useful for recording events such as:
Annotations themselves do not change the Analytics data.
They provide context for interpreting it.
To manage Annotations:
The screen includes:
Annotations must be enabled for AIUNIFY Analytics.
If Annotation functionality is unavailable, the system redirects away from the Annotations area.
Your account may also have a limit on the number of Annotations available.
Availability: Annotations may depend on the features and limits enabled for your AIUNIFY Analytics account.
The Annotation system itself does not require Advanced Tracking.
Unlike:
the Annotation management source does not restrict the feature to Advanced Tracking.
Therefore, Annotations can provide chart context for the selected Website when Annotation functionality is enabled, whether the Website uses:
To create an Annotation:
The creation form contains exactly two user-configurable fields:
An important interface detail:
AIUNIFY Analytics does not provide a separate Description field for an Annotation in the current user interface.
The Annotation consists of:
Name + Annotation datetime
only.
Therefore, make the Name descriptive enough to identify the event later.
The first field is:
Name
This field is required.
Examples:
Use a concise name that will still make sense months later.
A good Annotation Name should answer:
What happened?
For example:
Better
Enterprise Landing Page Launched
than:
Website Change
Similarly:
Better
August Email Campaign Sent
than:
Campaign
Specific names make historical chart analysis much more useful.
AIUNIFY Analytics stores an Annotation Name up to the supported maximum used by the form processing.
The source limits the cleaned Name to:
64 characters.
Keep Annotation Names concise and descriptive.
The second field is:
Annotation datetime
This represents when the business event occurred.
The date/time picker supports:
Year-Month-Day Hour:Minute:Second
and includes time down to seconds.
The Annotation Datetime determines where the Annotation is associated with the Dashboard's reporting timeline.
For example:
Campaign Launch
Annotation Datetime:
2026-08-10 09:00:00
When the Dashboard Date Range includes August 10, the Annotation can appear at the corresponding chart position.
The Annotation Date Picker uses the Website's creation date as its minimum available date.
This prevents you from selecting an Annotation date before the Website existed in AIUNIFY Analytics.
The Annotation Date Picker uses the current date/time as the maximum selectable point.
The current interface is therefore designed primarily for documenting events that:
have already occurred or are occurring now
rather than creating future calendar reminders.
After entering:
click:
Create
AIUNIFY Analytics creates the Annotation for the selected Website and returns you to the Annotations area.
Each Annotation is associated with the Website that was selected when it was created.
Therefore:
An Annotation created for:
example.com
does not automatically become an Annotation for another Website in your account.
Always confirm the Website Selector before creating the Annotation.
AIUNIFY Analytics checks the number of Annotations already associated with the Website before allowing another one to be created.
If the account's Annotation limit has been reached:
Add annotation
becomes unavailable.
The creation process also checks the same limit before saving a new Annotation.
The Annotations table contains primary columns for:
It also provides created/last-updated information and management actions.
Each row represents one Chart Annotation.
The Annotation Name is clickable.
Selecting it opens:
Edit annotation
This lets you correct or update an Annotation after it has been created.
The table displays the configured:
Annotation datetime
as a clickable badge.
Selecting the date opens the Dashboard around that Annotation's date.
This provides a convenient way to move directly from:
Annotation Record → Related Analytics Period
The three-dot action menu also contains:
View
The View action sends you to the Dashboard using the Annotation's configured date/time as the reporting context.
Use this when you want to quickly investigate the Analytics associated with the milestone.
When AIUNIFY Analytics loads the Dashboard, it retrieves Annotations belonging to the selected Website whose:
Annotation datetime
falls within the Dashboard's selected reporting period.
Therefore:
Selected Dashboard Date Range determines which Annotations can appear.
Suppose you have:
Website Redesign Launched
dated:
August 1
If the Dashboard Date Range is:
July 15 – August 15
the Annotation falls within that period and can appear on the chart.
The same Annotation will not appear when the Dashboard is showing:
July 1 – July 31
because the August 1 Annotation falls outside the selected chart period.
This does not mean the Annotation was deleted.
Change the Dashboard Date Range to include its date.
When Annotations are enabled and relevant records exist, AIUNIFY Analytics adds them to the primary Dashboard Analytics chart.
The chart associates the Annotation Name with the corresponding chart X-axis date/time position.
This places the business milestone directly into the context of the Pageviews/Sessions/Visitors trend.
The chart uses the Annotation Name as its visible Annotation content.
For example, the chart could include a label such as:
Google Ads Campaign Launched
at the appropriate point in the Analytics timeline.
If multiple Annotations fall into the same chart X-axis time bucket, AIUNIFY Analytics groups their Names together for that chart position.
For example:
August 10
could contain:
The chart can display those Annotation Names together at that matching position.
The Dashboard may summarize Analytics at different time intervals depending on the selected reporting period.
Because Annotations are mapped to the Dashboard's chart labels, multiple events occurring within the same chart interval may appear together at one chart position.
The exact Annotation Datetime remains preserved in the Annotation record.
Creating an Annotation does not:
An Annotation simply adds contextual information to the Analytics chart.
If the Website has no relevant Analytics activity, the Annotation does not manufacture a performance trend.
The Dashboard Annotation layer is rendered as part of the chart when Analytics logs are available and relevant Annotations exist.
Therefore, Annotations are primarily a tool for interpreting actual Analytics performance.
Suppose you launch a campaign on August 5.
Create:
Name:
Facebook Lead Campaign Launched
Annotation Datetime:
August 5 at launch time
Later, the Dashboard shows:
The Annotation gives immediate context to the performance change.
Suppose a Homepage redesign launches September 1.
Create:
Homepage Redesign Published
Then compare Analytics before and after September 1.
Review:
The Annotation provides the exact business milestone around which to perform the analysis.
Suppose pricing changes on October 10.
Create:
New Pricing Model Published
Then monitor:
If conversion performance changes afterward, the chart keeps the pricing change visible as analytical context.
Annotations do not have to represent positive events.
Suppose the Website experiences an outage.
Create:
Website Outage
at the appropriate Date/Time.
If Pageviews decline sharply, the chart now contains an explanation for that period.
Suppose you change an important Analytics configuration.
You can create an Annotation such as:
Tracking Configuration Updated
This can be useful if Analytics volumes change afterward.
Future reviewers will know that the measurement environment changed at that point.
Suppose you stop a major paid advertising campaign.
Create:
Paid Search Campaign Paused
If Website traffic declines afterward, the Annotation preserves important causal context for future analysis.
To edit an Annotation:
or:
The Edit page contains the same two main fields:
You can change the Name if:
After updating it, AIUNIFY Analytics refreshes the Annotation data used by the Dashboard.
You can also change:
Annotation datetime
For example:
The campaign was originally thought to have launched at:
9:00 AM
but actually launched at:
11:30 AM
Update the Annotation to the correct time.
The changed Datetime determines its new association with the Dashboard timeline.
The Annotations list also provides indicators for:
Do not confuse these with:
Annotation datetime
These represent different things.
An Annotation can effectively have:
When the business event occurred.
When you added the Annotation to AIUNIFY Analytics.
When you last edited it.
For example:
Campaign happened:
August 1
Annotation created:
August 3
Annotation edited:
August 5
The chart marker still belongs to:
August 1
because that is its Annotation datetime.
The Filters menu allows you to search Annotations by:
Name
For example, search:
campaign
to find Annotations whose Names match the relevant search conditions.
The Annotation management filters can use different date fields:
This lets you search based on either:
when the record was managed
or:
when the business event occurred
To locate Annotations with business events during a particular month:
This is more appropriate than filtering by Created Date when you want to find events that actually occurred during the month.
You can sort the Annotation list by:
and choose:
The Filters menu also lets you select how many Annotation records appear per page.
Pagination appears beneath the Annotation table when additional records exist.
Your Analytics Preferences can include a default ordering choice specifically for Annotations.
Available default ordering fields include:
This will be covered further in Chapter 29 — Analytics User Preferences.
The Annotations page includes Export options for:
depending on the export features available to the account.
CSV and JSON Annotation exports can include fields such as:
This can be useful for maintaining an external record of important Website milestones.
To delete an Annotation:
The action menu provides:
Deleting an Annotation removes the Annotation record and clears the related cached Annotation information used for Dashboard chart display.
It does not delete the Website's Analytics data.
For example, deleting:
Google Ads Campaign Launched
does not delete the Pageviews recorded during that campaign.
Only the contextual chart marker is removed.
The Annotations page supports:
Bulk actions → Delete
To delete several:
The system removes the selected Annotation records and refreshes the related chart Annotation data.
Team context can view the available Annotation information, but owner-level Annotation management is restricted.
The interface hides:
for Team context.
The creation and update controllers also block Team members from performing those actions.
For marketing campaigns, create an Annotation whenever a change is substantial enough that you may later need to explain Analytics movement.
Examples:
Google Ads Campaign Started
Facebook Campaign Paused
Email Blast Sent
Influencer Campaign Launched
New Landing Page Published
Then compare performance around those dates.
Use Annotations for meaningful Website changes such as:
This creates a permanent analytical reference point for evaluating before-and-after performance.
Annotations can also preserve major business milestones:
The goal is to preserve information that may explain changes in Website behavior.
If every minor Website edit receives an Annotation, the chart can become cluttered and less useful.
Prioritize events likely to affect:
A practical rule is:
If you may ask “What happened here?” later, consider creating an Annotation.
For organizations with many Annotations, consider consistent naming patterns.
Examples:
CAMPAIGN — Google Ads Started
WEBSITE — Homepage Redesign
EMAIL — August Promotion
PRODUCT — Enterprise Suite Launch
ISSUE — Website Outage
AIUNIFY Analytics does not require these prefixes, but consistent naming can make the Annotation list easier to search and interpret.
The primary Dashboard chart contains Pageview data and can display the Annotation at the corresponding time position.
For example:
Annotation: Campaign Launch
↓
Pageviews increase
This provides immediate visual context.
For Advanced Tracking, the Dashboard chart also contains Session data alongside Pageviews.
An Annotation can therefore help contextualize changes in:
within the same primary Dashboard chart.
The Dashboard chart also includes Visitor data where applicable.
For example:
New Campaign Launched
followed by:
Visitor growth
can be analyzed directly around the marked date.
Annotations do not directly create Goal Conversions, but they can help explain changes in Goal performance.
Example:
Pricing Redesign Published
↓
Goal Conversions increase during the following week.
Use:
Annotation + Dashboard + Goals
to investigate the relationship.
Suppose you redesign a landing page.
Create:
Landing Page Redesign Published
Then:
The Annotation gives you the timeline reference for when the redesign occurred.
Annotations can also help determine which Replays belong to:
Before
versus:
After
an important Website change.
For example:
Checkout Redesign — August 15
You can review Replays before and after August 15 to look for behavioral differences.
Suppose you replace your external appointment provider.
Create:
New Booking Platform Launched
Then review Outbound Clicks after the change.
This can help preserve context if click volume changes.
A powerful use of Annotations is before-and-after analysis.
Suppose:
Homepage Redesign Published — August 10
Analyze:
August 1–9
August 10 Annotation
August 11–20
Then compare:
The Annotation establishes the change point.
If Analytics changes after an Annotation, do not automatically conclude that the annotated event caused the change.
For example:
Campaign Launched
↓
Traffic increases
The campaign may have contributed, but other factors could also be involved.
Annotations provide:
Context
not:
automatic causal proof
Use other Analytics data to validate your interpretation.
Check:
The system redirects away when Annotation functionality is disabled.
The account may have reached its Annotation limit.
The interface disables:
Add annotation
when the applicable limit has been reached.
Review existing Annotations and account availability.
Check:
Annotations belong to a specific Website.
The Date Range must include the Annotation Datetime.
The primary chart needs applicable Analytics data to render its normal reporting visualization.
Open Edit annotation and verify the configured Date/Time.
The Dashboard retrieves Annotations only when their Chart Datetime falls within the selected report period.
This may be expected.
If several Annotations correspond to the same displayed chart time bucket, AIUNIFY Analytics groups their Names at that X-axis position.
Review each Annotation's exact Datetime from the Annotations management page if you need more precision.
Open:
Annotations → Annotation Name
Then update:
Annotation datetime
and click:
Update
The Dashboard Annotation data is refreshed after the change.
This is correct behavior.
Annotations and Analytics records are separate.
Deleting the Annotation removes:
the chart context marker
not:
the historical Website Analytics
Your Pageviews, Sessions, Visitors, and other tracking data remain subject to their normal retention and management rules.
For every important business or Website event:
At the end of each month:
This creates a historical record connecting:
Business Activity → Website Analytics
Before relying on an Annotation, confirm:
The AIUNIFY Analytics Annotation process can be summarized as:
Important Business Event
↓
Annotations
↓
Add Annotation
↓
Name + Annotation Datetime
↓
Create
↓
Dashboard Date Range Includes Event
↓
Annotation Name Appears on Chart
↓
Compare Pageviews / Sessions / Visitors
↓
Investigate Goals / Outbound Clicks / Heatmaps / Replays
↓
Understand Performance in Business Context
You should now understand that Chart Annotations allow you to preserve important business context directly alongside AIUNIFY Analytics performance.
Each Annotation contains only:
Name + Annotation Datetime
When the Dashboard period includes that Datetime, AIUNIFY Analytics retrieves the Annotation and displays its Name at the corresponding position in the primary Analytics chart.
Annotations can then be searched, filtered, sorted, exported, edited, viewed against the Dashboard, or deleted through the Chart annotations management area.
Most importantly:
Analytics tells you what happened.
Annotations help you remember what was happening when it happened.