Skip to content

Commit

Permalink
πŸ“ improve mobile attribution wording
Browse files Browse the repository at this point in the history
  • Loading branch information
tomshelllby committed Jan 19, 2024
1 parent 13a4ef0 commit 0e026e6
Showing 1 changed file with 2 additions and 2 deletions.
4 changes: 2 additions & 2 deletions readme.md
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@
</picture>
</a>

> We are the boutique analytics consultancy that turns disorganised data into real business value. [Get in touch](https://tasman.ai/contact/) to learn more about how Tasman can help solve your organisations data challenges.
>We are the boutique analytics consultancy that turns disorganised data into real business value. [Get in touch](https://tasman.ai/contact/) to learn more about how Tasman can help solve your organisations data challenges.
# Multi-Touch Attribution Engine

Expand All @@ -25,7 +25,7 @@ Multi-touch attribution is a method of marketing measurement that accounts for a

The core functionality of an attribution engine is its ability to match touches to conversions based on a series of rules, known as 'attribution models'.

Multi-touch attribution can be cross-device, however with the increased privacy constraints introduced by Apple in iOS 14.5, deterministic methods of attribution such as those in this engine are generally ineffective. For mobile attribution, we recommend checking Mobile Measurement Partners (MMPs) with support for Apple's SKAdNetwork such as [Appsflyer](https://www.appsflyer.com/) or [Adjust](https://www.adjust.com/).
Multi-touch attribution can be cross-device, however with the increased privacy constraints introduced by Apple in iOS 14.5 and more generally across the industry, deterministic methods of attribution such as those in this engine are generally ineffective for mobile. For mobile attribution, we recommend checking Mobile Measurement Partners (MMPs) with support for Apple's SKAdNetwork such as [Appsflyer](https://www.appsflyer.com/) or [Adjust](https://www.adjust.com/).

>Examples of attribution models that can be configured with this engine include:
>- Last touch - 100% conversion credit is applied to the touch point immediately before the conversion event
Expand Down

0 comments on commit 0e026e6

Please sign in to comment.