Skip to main content

Advanced Filtering

Ovyxa' filtering system lets you segment your analytics data to answer specific questions about your traffic. By combining multiple filters, you can drill down from broad overviews to laser-focused insights.

How Filtering Works​

Every value you click in your dashboard tables becomes a filter that narrows all your data to match that criterion. Filters appear as chips at the top of your dashboard, and you can combine multiple filters to create sophisticated segments.

Click-to-Filter​

The easiest way to filter is by clicking values directly in your data tables:

Available filter dimensions:

  • Pages - Click any pathname to filter to that page
  • Sources - Click any referrer domain or source type
  • Countries - Click any country to filter to that location
  • Devices - Click device type, browser, or operating system
  • UTM Parameters - Click utm_source, utm_medium, utm_campaign values

Example: Click "France" in the Countries table. Your entire dashboard now shows only traffic from France - all metrics, charts, and tables update to reflect French visitors only.

Multi-Dimensional Filtering​

The real power comes from combining filters. Ovyxa uses AND logic - all active filters must match for traffic to be included.

Example: Finding Your Mobile French Newsletter Readers​

  1. Click "France" in Countries → filters to French traffic
  2. Click "Mobile" in Device Types → narrows to French mobile traffic
  3. Click "newsletter" in UTM Source → shows only French mobile traffic from your newsletter

Now your entire dashboard shows metrics, pages, and behavior for this specific segment.

Example: Analyzing Campaign Performance by Device​

  1. Click your campaign name in UTM Campaign table
  2. Click "Desktop" to see desktop campaign performance
  3. Check bounce rate and conversion metrics
  4. Click the X on "Desktop" filter to remove it
  5. Click "Mobile" to compare mobile campaign performance

This reveals whether your campaign performs differently on mobile vs. desktop.

Filter Chips​

Active filters appear as colored chips at the top of your dashboard:

Filter chip format: Dimension: Value

Examples:

  • Country: France
  • Device: Mobile
  • Source: newsletter
  • Page: /pricing

Managing filters:

  • Click the X on any chip to remove that filter
  • Click Clear all filters to reset to unfiltered view
  • Filters persist in your browser session and in shareable URLs

Filters in URLs​

Your active filters are encoded in the page URL, which means:

Shareable Filtered Views​

Copy the URL while filters are active and share it with team members. They'll see the exact same filtered view you're looking at.

Example URL:

https://app.ovyxa.com/example.com?period=30d&country=US&device=mobile&utm_source=facebook

This link shows 30-day data for US mobile visitors from Facebook.

Bookmarkable Segments​

Create bookmarks for segments you check regularly:

  • Bookmark "Mobile traffic from Europe" by filtering Device: Mobile + Country: FR,DE,UK (Phase 2)
  • Bookmark "Blog traffic from search engines" by filtering Page: /blog/* + Source Type: Search (Phase 2)
  • Bookmark "Email campaign performance" by filtering UTM Medium: email

Common Filtering Workflows​

Diagnose High Bounce Rate​

Question: Why is my bounce rate 75%?

  1. Check if one device type has a higher bounce rate
    • Click "Mobile" → Check metrics
    • Click X to clear
    • Click "Desktop" → Compare metrics
  2. If mobile bounce rate is high, check which pages mobile users visit
    • Filter "Mobile" → Check Top Pages
  3. Click the highest-traffic high-bounce page
  4. Now you're seeing metrics for mobile visitors on that specific page
  5. Check what sources send mobile traffic to that page

Result: You discovered that mobile visitors from social media bounce at 90% on your product page because it loads too slowly on mobile.

Compare Traffic Sources by Quality​

Question: Which source sends the most engaged visitors?

  1. Don't filter yet - note overall metrics (baseline)
  2. Click your top source (e.g., "Google") → note metrics
  3. Clear filter, click second source → note metrics
  4. Repeat for top 3-5 sources
  5. Compare bounce rates, pages/visit, and conversion rates

Result: You discovered that LinkedIn sends 10% of the traffic but has the lowest bounce rate and highest conversion rate - time to invest more in LinkedIn.

Analyze International Markets​

Question: Should we localize our site for Germany?

  1. Click "Germany" in Countries
  2. Check total visitors and growth trend (enable comparison mode)
  3. Check which pages Germans visit most (Top Pages with filter active)
  4. Check bounce rate and engagement metrics
  5. Click top page, check if bounce rate is higher than average (might indicate language barrier)

Result: You see 5,000 German visitors/month (growing 30% MoM), but 80% bounce rate on product pages vs. 45% for English-speaking countries - strong signal to add German translations.

Track Campaign Success​

Question: How did our product launch campaign perform?

  1. Click your campaign name in UTM Campaign table
  2. Note total visitors and conversion rate
  3. Check which sources drove campaign traffic (Sources table with filter active)
  4. Check which pages campaign visitors viewed (Pages table with filter active)
  5. Filter by device to see mobile vs. desktop performance

Result: The campaign drove 3,200 visitors with 12% conversion rate, 70% came from social media, and mobile visitors converted at 8% vs. 16% on desktop - optimize mobile conversion flow.

Filter Combinations to Try​

Geographic + Device​

Country: Japan + Device: Mobile → See mobile adoption rates in specific markets

Source + Page​

Source: twitter.com + Page: /blog/tutorial → See how social traffic engages with specific content

Campaign + Device + Country​

UTM Campaign: summer-sale + Device: Desktop + Country: United States → Analyze specific campaign segment performance

Page + Source Type​

Page: /pricing + Source Type: Search → See how organic search visitors interact with your pricing page

Saved Segments (Phase 2)​

In future updates, you'll be able to save filter combinations as named segments:

Example saved segments:

  • "High-value traffic" - Desktop users from US/UK who visit product pages
  • "Newsletter subscribers" - utm_source=newsletter + visited /subscribe
  • "Mobile European visitors" - Device: Mobile + Country: EU countries

These will be accessible from a dropdown for instant analysis of important audience segments.

Understanding Filter Results​

Sample Size Matters​

When you apply many filters, your sample size shrinks. Be cautious about drawing conclusions from:

  • Fewer than 100 visitors
  • Fewer than 30 visits
  • Very short time periods (single day with filters)

Small samples produce unreliable metrics. If filtered results show weird patterns (0% bounce rate, 100% bounce rate), you might not have enough data.

Filters Don't Show "Why"​

Filters show you what happened, not why. If you discover that mobile users from France have a 95% bounce rate, you still need to investigate:

  • Is the page slow?
  • Is content not relevant?
  • Is there a technical bug?

Use filters to identify problems, then test solutions to fix them.

Tips & Best Practices​

  1. Start broad, then narrow - Begin with high-level filters (device type, country) before drilling into specific pages or campaigns

  2. Clear filters between analyses - Click "Clear all filters" when starting a new question to avoid confusion

  3. Watch the visitor count - The metrics bar shows filtered visitor count; if it drops too low, your data may not be reliable

  4. Use filters to validate hypotheses - "I think mobile users bounce more" → Filter to mobile and check

  5. Combine with comparison mode - Filter to a segment, then enable comparison to see if it's growing or declining

  6. Document insights - When you find valuable filter combinations, write them down or bookmark the URLs for future reference

  7. Avoid filter overload - More than 4-5 active filters usually means your sample size is too small for meaningful insights

The filtering system transforms Ovyxa from a simple dashboard into a powerful analytics tool. Master filtering to answer any question about your traffic without writing SQL queries or exporting to spreadsheets.