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omnimetrix®

@demouser

Data Explorer

Explore your raw data from your tracker.

AI Query Console

Natural Language Mode

UTF-8

Generated SQL Query

-- Find top product pages with highest engagement
SELECT 
  path, 
  title,
  COUNT(*) AS page_views,
  AVG(duration_seconds) AS avg_time_on_page,
  COUNT(DISTINCT visitor_id) AS unique_visitors
FROM page_view
WHERE 
  path LIKE '/products/%' AND
  time >= NOW() - INTERVAL 7 DAY
GROUP BY path, title
ORDER BY page_views DESC
LIMIT 10

10 rows in set (0.42 s)

path	title	page_views	avg_time_on_page	unique_visitors
/products/womens-shoes	Women's Shoes Collection \| FashionHub	342	129.5	289
/products/mens-tshirts	Men's T-Shirts \| FashionHub	289	112.3	245
/products/womens-dresses	Women's Dresses \| FashionHub	276	145.8	220
/products/accessories	Accessories \| FashionHub	243	94.2	187
/products/sale	Sale Items \| FashionHub	231	152.7	210

Reach every data point

At omnimetrix®, we believe that data being tracked should be accessible and our platform should be transparent, so we offer a simple and easy way to select data how you want and export it.

Export anything you want

We believe that data should be accessible to everyone, so we offer a simple and easy way to export the data you track.

Export data to CSV.

page_views.xlsx

sessions.xlsx

events.xlsx

visitor_id	session_id	time	duration_seconds	path	title	country_code	browser	channel
1234567	54321	2025-05-12T14:30:00.000Z	120	/products	E-Shop - products	US	Chrome	Organic Search
2345678	65432	2025-05-12T15:15:00.000Z	85	/product/smartphone-x1	E-Shop - smartphone-x1	UK	Firefox	Social
3456789	76543	2025-05-12T16:20:00.000Z	210	/cart	E-Shop - cart	CA	Safari	Direct
4567890	87654	2025-05-12T17:00:00.000Z	45	/checkout	E-Shop - checkout	DE	Edge	Email
5678901	98765	2025-05-12T17:30:00.000Z	75	/category/electronics	E-Shop - electronics	FR	Chrome	Referral
6789012	10987	2025-05-12T18:15:00.000Z	95	/product/wireless-earbuds	E-Shop - wireless-earbuds	ES	Chrome	Paid Search

FULL DATA TRANSPARENCY

Your Data Base

100% Access

Geography

Country, Region, City

country_code

ISO Country Code

region

State/Province

city

City Name

User Journey

Path, Entry/Exit

path

Current URL Path

entry_path

First Page Visited

exit_path

Last Page Visited

is_bounce

Single Page Visit

Events

Custom Actions

event_name

Action Type

event_meta_keys

Property Names

event_meta_values

Property Values

Technology

Browser, OS, Device

browser

Browser Name

browser_version

Browser Version

Operating System

os_version

OS Version

desktop

Is Desktop Device

mobile

Is Mobile Device

Time

Duration, Timestamps

time

Timestamp

duration_seconds

Time Spent

start

Session Start

Identity

Sessions, Visitors

visitor_id

Unique Visitor ID

session_id

Session Identifier

client_id

Website Identifier

Referrers

Traffic Sources

referrer

Full URL

referrer_name

Source Name

referrer_icon

Source Icon

Language

Localization

language

Browser Language

UTM

Campaign Tags

utm_source

Traffic Source

utm_medium

Traffic Type

utm_campaign

Campaign Name

utm_content

Content Identifier

utm_term

Search Terms

Screen

Display Size

screen_class

Screen Resolution Category

Channel

Traffic Medium

channel

Marketing Channel

Custom Meta

Key-Value Data

tag_keys

Custom Tag Names

tag_values

Custom Tag Values

Selected Data

12 Dimensions

85+ Fields

100% Accessible

Query Anything • No Limitations • Full Transparency

Full Data Transparency

Access 100% of your data anytime. We believe in complete transparency and giving you full control over your information.

Export in multiple formats or use our API for seamless integration.

SAVE & REUSE YOUR QUERIES

Saved Queries

Daily Active Users

✓

SELECT COUNT(DISTINCT visitor_id) FROM events WHERE time >= now() - INTERVAL 1 DAY

Users

1.20s

Top Pages by Views

✓

SELECT path, COUNT(*) as views FROM events GROUP BY path ORDER BY views DESC LIMIT 10

Content

2.40s

Conversion Rate by Source

✓

SELECT referrer_name, COUNT(*) as visits, SUM(CASE WHEN event_name='purchase' THEN 1 ELSE 0 END) as conversions FROM events GROUP BY referrer_name

Conversions

3.50s

Browser Distribution

✓

SELECT browser, COUNT(*) FROM events GROUP BY browser ORDER BY COUNT(*) DESC

Technology

1.10s

Failed Query Example

✗

SELECT * FROM nonexistent_table

Other

Weekly Pageviews Trend

✓

SELECT toStartOfDay(time) as day, COUNT(*) as views FROM events GROUP BY day ORDER BY day DESC LIMIT 7

Analytics

4.20s

Save • Reuse • Share Your Favorite SQL Queries

Save and reuse your SQL queries

Never lose your important SQL queries again. Save, organize, and reuse your frequently used queries with our history and favorites system.

One-click execution and easy sharing with your team.