# Attribution Models Attribution models are rules that assign goal achievements, conversions, and other events to specific traffic sources. Imagine the following scenario, where you have three traffic sources (users):
The bot catalogcatalog
The company's websitesite
Advertising in TG ADSads
1. A user finds your bot in a bot directory and launches it; the user’s source will be “**catalog**.” After that, the user blocks the bot. 2. After some time, the user finds your website, sees a link to the bot, and launches it again. The source will be “**site**.” (Or you can configure the tags to be transferred from the site) 3. A couple of days later, the user sees your ad in TG ADS, clicks the link to the bot, and makes a purchase of $100. The source = "**ads**.” In this case, which source should the purchase conversion be attributed to? **Catalog**, **site**, or **ads**? This is where attribution models come into play. These models allow you to set rules for assigning goal achievements to the appropriate source. ## **What Attribution Models Exist?** In Graspil, there are three types of attribution: 1. First Launch 2. Last Launch 3. Last Significant Launch **First Launch** This is the first time a user launches the bot in the chain. In this case, the source of the events will be **catalog**.
The bot catalogcatalog $100
Websitesite$0
TG ADSads$0
**Last Launch** This is the last time a user launches the bot in the chain. In this case, the source will be **ads**.
The bot catalogcatalog $0
Websitesite$0
TG ADSads$100
**Last Significant Launch** In this attribution model, only **launches** and **returns** are recorded. This means the first launch and the re-launch after blocking the bot. If the bot was already launched and the user launches it again, this attribution model will not apply. In this case, the source will be **site**.
The bot catalogcatalog $0
Websitesite$100
TG ADSads$0
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