Instead of viewing aggregated data across all traffic, Filters help you isolate specific channels, campaigns, or traffic types to answer precise business questions.
What Filters Do.
Filters refine the data displayed across:
Data Table View.
Metric Chart View.
Summary Cards (Total Clicks, Total Visitors, Total Sales, Total Revenue, Total Spend).
When a filter is applied, all dashboard metrics update instantly to reflect only the selected criteria.
This allows for deep performance analysis without leaving the dashboard.
Available Filter Dimensions.
Inside the Filter panel, you can segment by:
Source
Traffic origin such as:
Facebook.
Google.
Bing.
Affiliate.
Organic.
Email.
Custom UTM sources.
This is ideal when analyzing performance by acquisition channel.
Campaign
Specific campaign names captured via UTMs or tracking parameters.
Use this when:
Comparing multiple paid campaigns.
Evaluating specific promotional pushes.
Measuring performance of seasonal launches.
Medium
Traffic type, typically defined by UTM medium values such as:
cpc.
email.
organic.
affiliate.
paid_social.
This is useful for analyzing performance by marketing strategy category rather than by platform.
How Filters Work Technically.
When you apply a filter:
GrowthOptix queries only the matching attribution records.
All associated metrics (clicks, sessions, revenue, conversions, etc.) are recalculated dynamically.
Attribution logic (First Touch, Last Touch, Linear, U-Shaped, etc.) remains intact.
The dashboard reflects results under the selected attribution model.
No historical data is modified. Filters narrow the scope of analysis.
Example: Filtering By Source.
Imagine you select: Source → Facebook
The dashboard will now show:
Only Facebook-attributed Organic Clicks and Paid Clicks.
Sales attributed to Facebook.
Revenue credited to Facebook under the selected attribution model.
ROI and ROAS for Facebook only.
All other sources are excluded from the calculations.
This allows you to answer questions like:
What is Facebook’s true ROAS under Linear attribution?
How much revenue did Facebook generate this month?
How many upsells came from Facebook traffic?
Combining Filters.
Filters can be layered for more precise segmentation.
For example:
Source: Google
Campaign: Spring Launch
Medium: cpc
This allows you to isolate a single campaign within a single platform and traffic type.
When To Use Filters.
Filters are especially useful when:
Comparing performance across channels.
Auditing campaign efficiency.
Validating attribution discrepancies.
Measuring performance of a specific initiative.
Presenting channel-level reports to stakeholders.
They are essential for granular marketing analysis.
Important Notes.
Filters apply only to the selected date range.
Attribution model selection still impacts revenue allocation.
Removing filters restores the full dataset view.
Filters do not modify stored attribution data; they only refine visualization.
Best Practice.
When analyzing performance:
Select the attribution model first.
Apply filters second.
Compare results across models.
Validate ROI and ROAS under each view.
This ensures you understand both channel performance and attribution impact.
Need Help?
If filtered results look incorrect:
Confirm UTM parameters are implemented correctly.
Verify the Tracking Script is installed.
Check that the correct attribution model is selected.
Ensure the date range is accurate.
For further assistance, contact us directly through the in-app chat inside GrowthOptix.