Last Click Attribution Reporting
What is the Last Click Attribution Report?
Last Click Attribution is generally a marketing model where the most recent traffic source is given credit for revenue events. Talroo can give credit to publishers for internal clicks on our sites.
A simple example is that maybe a user continues to browse other jobs on Jobs2Careers.com after being redirected by a publisher click. Each of that user's clicks can be aggregated and credited to the original click. This data could be useful for discovering what the true value of each user is and can be used to train an AI model to improve the traffic quality by filtering or improving matching.
Report Availability
- Daily report generated around 1am (Eastern) each day
- Contains the previous 3 days of last click attribution data
- Works like a rolling window where
valid_clickcount for a click may continue to increase - Most recent 90 days of reports available
Downloading Reports
Downloading will be done through a unique SFTP user with our server. Setup requires the creation of a new SSH key (either SHA 256 or ED25519).
Email publishers@talroo.com for SFTP setup details.
Additional Details
-
This reporting style is better than a conversion postback signal alone. Although the data isn't immediately available, we reveal some revenue data and aggregate other clicks attributed to the same
clid. -
Click Matching: Matching clicks in this report can be done using the t-values that you provide, BUT we prefer using
clid. If aclidis not provided, we will generate one. It is possible for you to provide your ownclid. This would involve appending a parameter to the Talroo click URLs. Contact us to set this up. -
Revenue Indicator: The revenue provided in the report could be a leading indicator of compensation. If you see an upward trend, we might be paying more in the future. Higher quality scores will increase the revenue share total and give more content.
-
Future Pricing: We'll eventually want to explore a ROAS (Return on Ad Spend) pricing model instead of our current methods which attempt to predict value.
Included Fields
| Field Name | Description | Example |
|---|---|---|
click_time_eastern | Approximate time of the first click sent by the publisher | 2025-11-18T23:18:42.000 |
affiliate_id | Your affiliate_id that the first click came from | 1234 |
clid | Click ID for Attribution (You could send us yours, but this is often system generated) | a3644fa3-a7e3-47ac-8ca3-2cd34266ea0b |
first_click_quality_filter | Whether the first click was sent to an intermediate landing page (See General Overview) to ensure high quality | true |
first_click_expired | Whether the first click was for an expired job | false |
valid_clicks | Total number of attributed clicks | 0 |
revenue | Total attributed revenue | 0.14 |
conversions | Total number of conversions | 1 |
t1 | Your T1 value originally sent with the first click | my-id-1 |
t2 | Your T2 value originally sent with the first click | myId2 |
t3 | Your T3 value originally sent with the first click | MYID3 |