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Using Filters in Your Analytics Dashboard

Understand how to use our advanced filters feature to view more comprehensive popup analytics

Cory Gill avatar
Written by Cory Gill
Updated over 2 weeks ago

Filters allow you to view popup performance across specific customer segments — without needing to duplicate campaigns or run separate tests.

With real-time filtering, you can instantly understand who is signing up, what drives conversions, and where opportunities exist so you can optimize faster and make smarter decisions with your popups and business.


Why Filters Matter

Instead of creating multiple versions of a popup to analyze performance, filters let you segment your data instantly.

With filters, you can answer questions like:

  • How does mobile performance compare to desktop?

  • Which UTMs drive the highest signup rates?

  • Are certain products more likely to be purchased after signup?

  • How do survey responses correlate with conversion?

  • Which pages generate the strongest results?

All of this is available in real time — no extra setup required.

👉 This means faster insights, fewer campaigns to manage, and more confident optimization decisions.


Accessing Filters

  1. Navigate to your Analytics Dashboard inside Alia.

  2. Click “Add filters” at the top of the dashboard.

  3. Select any dimension you want to analyze.

Once applied, your analytics will immediately update to reflect that audience segment.


Available Filter Categories

Alia provides powerful filtering across multiple data layers so you can analyze performance from every angle.

Campaign Filters

Understand how specific popup experiences perform.

You can filter by:

  • Campaign

  • Popup variant

  • Device type

  • UTM source

Example use case:
Compare how a holiday campaign performs on mobile vs. desktop traffic by different UTM Sources.


Customer & Alia Data

Go deeper into subscriber behavior and attributes.

Filter by:

  • Survey or mini-quiz answers

  • User properties

  • Reward shown

  • Ordered product

  • Ordered variant

  • Collection purchased from

Example use case:
Identify which quiz outcomes lead to the highest downstream revenue.


User Actions

Analyze behavior directly tied to the popup experience.

Filter by:

  • Users who matched targeting

  • Submitted email

  • Did not submit email

  • Additional behavioral events

Example use case:
See what percentage of qualified visitors actually convert.


Browsing Data

Understand the context behind each signup.

Filter by:

  • Initial page path

  • Domain

  • UTM medium

  • UTM campaign

  • Browser

  • Operating system

Example use case:
Determine whether paid traffic converts differently than organic visitors.


Location & Market

Break performance down geographically.

Filter by:

  • Country

  • Region

  • City

  • Shopify country

  • Shopify market

  • Shopify locale

Example use case:
Spot high-performing international markets worth investing in.


Creating Advanced Segments with Custom Filters

Need more precision? Custom filters allow you to combine conditions using logic.

How to Create a Custom Filter

  1. Click Build filter under the Custom section.

  2. Choose the attributes you want to include.

  3. Apply logic such as AND / OR to refine your audience.

  4. Save and apply the filter.

Your dashboard will instantly refresh with the segmented data.


Example Custom Segment

Mobile visitors + Paid Instagram traffic + Quiz result = “Hammocks”

This level of targeting helps uncover insights that would otherwise require multiple campaigns to analyze.


Key Benefits of Real-Time Filtering

Move Faster

No need to rebuild campaigns or wait for new tests — just apply a filter and analyze instantly.

Reduce Operational Work

Manage fewer popup variations while still gaining deep performance insights.

Optimize With Confidence

Make data-backed decisions using highly specific audience segments.

Discover Hidden Opportunities

Find high-converting pockets of traffic you may have otherwise missed.


Pro Tip ⭐

Use Custom Reports to view this data in different chart formats, tables, and be able to easily export it to CSVs.

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