Reading link performance

How to Read Link Statistics

Clicks, Unique Visits, and Their Connection to Moderation

Link statistics are not just numbers.
They are a practical tool that helps you understand:

• whether real users are coming through your link;
• whether tasks are being completed correctly;
• whether there may be fraud, errors, or suspicious activity.

Below is a simple breakdown of the key metrics and how to interpret them correctly.

📊 1. Clicks

Clicks show the total number of times your link was opened.

What You Need to Understand

• one user may click the same link several times;
• a click does not equal a registration;
• a click does not equal a completed task.

How to Use This Metric

Clicks help you evaluate:

• total traffic volume;
• activity from task performers;
• sudden spikes in traffic;
• whether users are interacting with the task at all.

Example

You see:

• 100 clicks

This does not mean 100 registrations.

It means there were 100 attempts to interact with the link.

👤 2. Unique Visits

Unique visits show how many different users opened the link.

How They Are Usually Detected

Unique visits may be based on signals such as:

• IP address;
• device;
• browser;
• behavioral signals.

The exact detection algorithm may vary.

What This Metric Shows

Unique visits help you understand:

• the real number of users;
• how many repeat clicks were made;
• basic traffic quality;
• whether one user is repeatedly opening the same link.

Example

You see:

• 100 clicks
• 60 unique visits

This means:

• 40 clicks were repeated visits;
• part of the traffic may be repeated interaction;
• the number of real users is lower than the total number of clicks.

🔗 3. Connection Between Visits and Task Completions

The key point:

not every click becomes a completed task.

The full chain looks like this:

click → visit → action → report → moderation → acceptance

Where Users Can Drop Off

Each step can reduce the final number of accepted results.

That is why clicks alone are not enough to measure task performance.

⚖️ 4. Connection with Moderation Statuses

It is important to look not only at clicks, but also at:

• submitted reports;
• accepted completions;
• rejected completions.

These metrics show whether users are simply opening the link or actually completing the task correctly.

How to Read Metric Combinations

Scenario 1 — Normal Flow

You see:

• clicks: 100
• unique visits: 70
• reports: 50
• accepted completions: 45

Conclusion

This is a healthy flow.

Users are opening the link, completing the task, submitting proof, and most reports are being accepted.

Scenario 2 — Low Conversion

You see:

• clicks: 200
• unique visits: 150
• reports: 20

Conclusion

Possible reasons:

• the task is too difficult;
• the instructions are unclear;
• the reward is too low;
• users lose motivation before completion;
• the task has too many steps.

In this case, you should review the task description, simplify the steps, or improve the reward.

Scenario 3 — Many Rejections

You see:

• reports: 100
• accepted completions: 30
• rejected completions: 70

Conclusion

Possible reasons:

• acceptance criteria are unclear;
• the task description is weak;
• proof requirements are not specific enough;
• performers misunderstand the task;
• fraud may be present.

In this case, you should clarify the task, make the proof requirements stricter, and review suspicious patterns.

Scenario 4 — Suspicious Activity

You see:

• clicks grow sharply;
• unique visits barely increase;
• many actions look the same;
• reports follow the same template.

Conclusion

Possible signs:

• bots;
• multi-accounting;
• proxy or VPN usage;
• repeated actions from the same users;
• automated or low-quality activity.

In this case, it is better to pause the task, strengthen verification, or send the task for additional review.

🚨 5. Fraud Signals

Pay attention to the following warning signs:

• many clicks with a low number of unique visits;
• fast mass completions;
• identical report templates;
• sudden spikes in activity;
• unusually high rejection rate;
• repeated behavior patterns;
• many similar users or devices;
• too many completions in a short time.

What to Do in These Cases

If you notice suspicious signals:

• strengthen verification;
• clarify acceptance criteria;
• require better proof;
• limit repeat completions;
• review rejected reports;
• pause the task if necessary.

The goal is not just to get more activity, but to receive valid results.

⚙️ 6. How to Improve Your Metrics

If the numbers are weak, you can improve the task in several ways.

Increase Conversion

To get more users from click to report:

• simplify the task;
• reduce the number of steps;
• make the instructions clearer;
• remove unnecessary actions;
• explain exactly what the performer must do;
• make the reward match the effort.

Reduce Rejections

To reduce rejected completions:

• define clear acceptance criteria;
• specify proof requirements;
• remove ambiguous wording;
• show an example of a correct report;
• explain common mistakes;
• make the review logic predictable.

Improve Traffic Quality

To improve the quality of completions:

• limit completion to one result per user;
• avoid overly complex or risky conditions;
• monitor suspicious activity;
• avoid tasks that require unclear or questionable actions;
• use moderation signals to detect low-quality patterns.

📈 7. The Main Rule

Do not look at each number separately.

Look at the full chain:

clicks → unique visits → reports → accepted completions

This chain shows the real effectiveness of your task.

Final Summary

• Clicks show general activity.
• Unique visits show real users more accurately.
• Reports show attempts to complete the task.
• Accepted completions show the real result.

The fewer losses you have at each stage, the better your task is performing.

A good task does not simply generate clicks.
It leads users through the full path:

from link opening to accepted result.