Analytics

Data-driven decisions start with understanding. Comprehensive analytics help you track clicks, measure conversions, and optimize your campaigns with actionable insights.

Start tracking conversions — Free while Klinky is early

Dashboard Overview

Main Metrics

Your dashboard displays key performance indicators:

Metric	Description	Why It Matters
Clicks	Total link visits	Volume of traffic
Conversions	Completed goals	Business outcomes
Conversion Rate	Conversions / Clicks	Campaign effectiveness
Top Variant	Best-performing variant	What's working

Time Range Selection

Analyze data across different periods:

Last 24 hours — Real-time monitoring
Last 7 days — Weekly trends
Last 30 days — Monthly performance
Custom range — Specific campaigns

Understanding Click Data

What Counts as a Click?

A click is recorded when:

Someone visits your Klinky link
The request is not from a known bot
The visit is within your account limits

Not counted:

Bot traffic (Googlebot, etc.)
Duplicate clicks from same session
Requests after link is deleted

Click Details

Each click captures:

Field	Description	Example
Timestamp	When the click occurred	2024-01-15 14:30:00 UTC
Variant	Which variant was shown	control, variant_b
Country	Visitor location (if detectable)	US, GB, DE
Referrer	Where visitor came from	google.com, twitter.com
Device	Browser and OS info	Chrome 120, macOS
IP Address	Anonymized for privacy	192.168.x.x

Conversion Tracking

What is a Conversion?

A conversion is a meaningful action you define:

E-commerce: Purchase completed
SaaS: Trial signup
Lead gen: Form submitted
Content: Newsletter signup
Custom: Any action you value

Setting Up Conversions

Install the tracking pixel:
Go to Link Settings > Conversion Tracking and copy your pixel code:
html
```
<script>
  klinky('convert', 'LINK_ID');
</script>
```
Place on conversion page:
Add the pixel to your thank-you, confirmation, or success page.
Test the setup:
Complete a conversion and verify it appears in analytics.

View API analytics documentation — Pull conversion data programmatically

Conversion Attribution

Klinky attributes conversions using:

Cookie-based — Visitor clicked your link within 30 days
IP fallback — Same IP within 24 hours (if cookies disabled)

Note: Attribution is not 100% accurate due to:

Private browsing mode
Cookie blockers
Cross-device journeys
VPN usage

Variant Performance Analysis

Reading the Comparison Table

Variant	Clicks	Conv.	Rate	Lift vs Control
control	500	25	5.0%	-
variant_b	500	35	7.0%	+40%

Key metrics:

Clicks — Traffic volume per variant
Conv. — Total conversions
Rate — Conversion percentage
Lift — Improvement over control variant

Evidence Review

Don't act on small differences. Use this guide:

Clicks per Variant	Minimum Detectable Difference
100	10% absolute (e.g., 5% → 15%)
500	4% absolute (e.g., 5% → 9%)
1,000	3% absolute (e.g., 5% → 8%)
5,000	1% absolute (e.g., 5% → 6%)

Rule of thumb: Wait for at least 100 clicks per variant before analyzing.

Winner Recommendations

Winner Review

When enabled, Klinky:

Monitors conversion rates continuously
Shows whether there is enough evidence to trust the comparison
Recommends a stronger variant when the data supports it
Leaves traffic-weight changes under your control

Timeline example:

Day 1: 50 clicks each, 2% vs 3% (inconclusive)
Day 3: 150 clicks each, 4% vs 6% (trending)
Day 5: 250 clicks each, 4.5% vs 7.2% (stronger result)
Day 6+: Review whether to send more traffic to variant_b

Manual Analysis

Review these factors before acting on a recommendation:

Sample size — Enough data?
Duration — Full business cycle?
Consistency — Stable performance?
Secondary metrics — Revenue per visitor? Engagement?

Geographic Analytics

Country Breakdown

See where your traffic comes from:

United States: 45% (680 clicks)
United Kingdom: 15% (225 clicks)
Germany: 10% (150 clicks)
Canada: 8% (120 clicks)
Other: 22% (330 clicks)

Use this data to:

Optimize geo-routing rules
Adjust campaign targeting
Plan regional content

Regional Performance

Compare conversion rates by country:

Country	Clicks	Conv.	Rate
US	680	45	6.6%
UK	225	12	5.3%
DE	150	5	3.3%

Insight: German visitors convert at half the US rate. Consider:

German-language landing page
Localized pricing (EUR)
Different offer for EU market

Traffic Source Analysis

Referrer Breakdown

Understand where visitors come from:

Source	Clicks	% of Total
Direct	450	30%
google.com	380	25%
twitter.com	225	15%
facebook.com	150	10%
email campaigns	150	10%
Other	145	10%

Direct traffic typically includes:

Bookmarks
Typed URLs
Messaging apps
Email clients (sometimes)

Source Quality

Compare conversion rates by source:

Source	Clicks	Conv.	Rate
Email	150	18	12.0%
Google	380	32	8.4%
Twitter	225	11	4.9%
Direct	450	22	4.9%

Insight: Email traffic converts best. Consider:

Increasing email marketing
Creating email-specific landing pages
Testing email subject lines

Device and Browser Analytics

Device Breakdown

Device	Clicks	%
Desktop	750	50%
Mobile	525	35%
Tablet	225	15%

Browser Distribution

Browser	Clicks	%
Chrome	675	45%
Safari	450	30%
Firefox	150	10%
Edge	150	10%
Other	75	5%

Use this data to:

Prioritize device testing
Optimize mobile experience
Address browser-specific issues

Time-Based Analysis

Hourly Trends

Identify peak traffic times:

12 AM: 2%
6 AM: 5%
12 PM: 15% (peak)
6 PM: 12%

Use case: Schedule email sends or social posts for peak hours.

Day of Week Patterns

Day	Clicks	Conv. Rate
Monday	280	5.2%
Tuesday	320	6.1%
Wednesday	290	5.8%
Thursday	310	6.0%
Friday	250	4.8%
Weekend	150	3.5%

Insight: Tuesday-Thursday perform best for B2B campaigns.

Exporting Data

CSV Export

Download raw click data for custom analysis:

Go to Link Details
Click "Export"
Choose date range
Download CSV

Columns included:

timestamp
variant
country
referrer
device
conversion status

API Access

Pull data programmatically:

python

import requests

response = requests.get(
    'https://klinky-api.fly.dev/api/v1/public/links/LINK_ID/clicks',
    headers={'X-API-Key': 'your-key'},
    params={
        'start_date': '2024-01-01',
        'end_date': '2024-01-31',
        'per_page': 100
    }
)

clicks = response.json()['items']

See Analytics API for details.

Adding Business Context

Klinky tracks clicks, variants, and conversions. If you track revenue, customer quality, or campaign cost in another system, combine that data after export before making budget decisions.

Common Analysis Scenarios

Scenario 1: Low Conversion Rate

Symptoms:

High clicks, low conversions
Traffic looks legitimate

Investigate:

Landing page load speed
Mobile responsiveness
Form complexity
Offer clarity

Scenario 2: Uneven Variant Performance

Symptoms:

One variant significantly outperforms
Difference appears quickly

Actions:

Verify URLs are correct
Check for technical issues on underperformer
Ensure fair traffic distribution
Let test run to significance

Scenario 3: Traffic But No Conversions

Symptoms:

Clicks recorded
Zero conversions

Check:

Is conversion pixel installed?
Is it on the correct page?
Test the conversion flow yourself
Check browser console for errors

Scenario 4: Sudden Traffic Drop

Symptoms:

Clicks suddenly decrease
No changes made to link

Investigate:

Link status (active vs paused)
Campaign end dates
Seasonal patterns
Competitor activity

Dashboard Screenshots

Share results with your team:

Navigate to link details
Set desired time range
Take screenshot of key metrics
Annotate with insights

Scheduled Reports

Set up reporting workflows when available for your account:

Go to Link Settings > Reports
Choose frequency (daily, weekly, monthly)
Add recipient emails
Select metrics to include

Best Practices

1. Define Success Before Testing

Know what you're measuring:

Primary metric (conversion rate)
Secondary metrics (revenue, engagement)
Minimum improvement threshold

2. Run Tests Full Duration

Don't stop early:

Minimum one week (accounts for day-of-week effects)
At least 100 clicks per variant
Full business cycle if B2B

3. Document Everything

Keep records:

Test hypothesis
Start and end dates
Changes made during test
Final results and decisions

4. Segment Your Analysis

Look beyond overall numbers:

Device performance
Geographic differences
Source quality
Time-based patterns

5. Iterate Continuously

Testing is ongoing:

Implement winning variants
Form new hypotheses
Run follow-up tests
Build institutional knowledge

Troubleshooting Analytics

Data Not Updating

Allow 1-2 minutes for real-time sync
Check that link is active
Verify you're viewing correct date range
Clear browser cache

Discrepancies with Other Tools

Klinky may differ from Google Analytics because:

Different attribution models
Bot filtering differences
Timezone handling
Sampling in other tools

Missing Geographic Data

Some clicks show "Unknown" location due to:

VPN usage
Private DNS
Mobile carriers
Privacy settings

This is normal and expected.

Next Steps

Link Management — Create and manage A/B testing links
API Analytics — Pull data programmatically
FAQ — Common analytics questions

Start optimizing your campaigns — Free while Klinky is early

Analytics ​

Dashboard Overview ​

Main Metrics ​

Time Range Selection ​

Understanding Click Data ​

What Counts as a Click? ​

Click Details ​

Conversion Tracking ​

What is a Conversion? ​

Setting Up Conversions ​

Conversion Attribution ​

Variant Performance Analysis ​

Reading the Comparison Table ​

Evidence Review ​

Winner Recommendations ​

Winner Review ​

Manual Analysis ​

Geographic Analytics ​

Country Breakdown ​

Regional Performance ​

Traffic Source Analysis ​

Referrer Breakdown ​

Source Quality ​

Device and Browser Analytics ​

Device Breakdown ​

Browser Distribution ​

Time-Based Analysis ​

Hourly Trends ​

Day of Week Patterns ​

Exporting Data ​

CSV Export ​

API Access ​

Adding Business Context ​

Common Analysis Scenarios ​

Scenario 1: Low Conversion Rate ​

Scenario 2: Uneven Variant Performance ​

Scenario 3: Traffic But No Conversions ​

Scenario 4: Sudden Traffic Drop ​

Reporting and Sharing ​

Dashboard Screenshots ​

Scheduled Reports ​

Best Practices ​

1. Define Success Before Testing ​

2. Run Tests Full Duration ​

3. Document Everything ​

4. Segment Your Analysis ​

5. Iterate Continuously ​

Troubleshooting Analytics ​

Data Not Updating ​

Discrepancies with Other Tools ​

Missing Geographic Data ​

Next Steps ​

Analytics

Dashboard Overview

Main Metrics

Time Range Selection

Understanding Click Data

What Counts as a Click?

Click Details

Conversion Tracking

What is a Conversion?

Setting Up Conversions

Conversion Attribution

Variant Performance Analysis

Reading the Comparison Table

Evidence Review

Winner Recommendations

Winner Review

Manual Analysis

Geographic Analytics

Country Breakdown

Regional Performance

Traffic Source Analysis

Referrer Breakdown

Source Quality

Device and Browser Analytics

Device Breakdown

Browser Distribution

Time-Based Analysis

Hourly Trends

Day of Week Patterns

Exporting Data

CSV Export

API Access

Adding Business Context

Common Analysis Scenarios

Scenario 1: Low Conversion Rate

Scenario 2: Uneven Variant Performance

Scenario 3: Traffic But No Conversions

Scenario 4: Sudden Traffic Drop

Reporting and Sharing

Dashboard Screenshots

Scheduled Reports

Best Practices

1. Define Success Before Testing

2. Run Tests Full Duration

3. Document Everything

4. Segment Your Analysis

5. Iterate Continuously

Troubleshooting Analytics

Data Not Updating

Discrepancies with Other Tools

Missing Geographic Data

Next Steps