---
updatedAt: 2025-09-29T11:34:02.000Z
agentTools:
  projectIndex: https://triplewhale.readme.io/llms.txt
---

# Axon by Applovin Clicks

clicks

# Overview

Axon Clicks refers to the number of clicks as reported by Axon.

> 📘 Axon Clicks = Total Axon-Reported Clicks

The calculation is based on data from the [Ads](https://triplewhale.readme.io/docs/ads-table) table.

### Detailed Breakdown

The formula above is derived from the following components:

* Clicks = `SUM(clicks)` --> [Ads](https://triplewhale.readme.io/docs/ads-table) table
* Axon Ads = `where channel = 'applovin'`

# Insights and Actions

Axon Clicks measures how many times users engage with your ads, providing insights into ad effectiveness and audience interest:

* **Gauge Campaign Engagement**: Monitor clicks to see if users find your ads compelling. Low clicks may indicate a need to adjust creatives or targeting.
* **Optimize Budget Allocation**: Compare clicks across campaigns to identify high-performing segments and reallocate spend for better results.
* **Enhance Ad Relevance**: Use click data to refine audience targeting, ensuring your ads appear to users who are most likely to engage.

### Related Metrics

* **Axon Impressions**: Shows the number of ad views, helping you contextualize clicks by measuring overall reach.
* **Axon CTR**: Calculates the percentage of impressions that result in clicks, indicating how engaging your ads are.
* **Axon Conversions**: Tracks how many clicks turn into valuable actions, giving a fuller picture of campaign effectiveness.

# Example Use

### Prompt

> What's my total number of Axon (AppLovin) clicks over the last 30 days?

### Response

<Image border={false} src="https://files.readme.io/6631c50c9cfd7e16cf83976905f4d9a75cab8adefbd70c13b287440ef7a60e33-image.png" />

### Query

```sql
SELECT
  SUM(adt.clicks) AS total_clicks
FROM
  ads_table AS adt
WHERE
  adt.channel = 'applovin'
  AND adt.event_date BETWEEN CURRENT_DATE() - 30 AND CURRENT_DATE()  - 1;
```