Kickbite Attribution looks at all touchpoints in the customer journey and takes into account various signals such as engagement, position within the journey, and the time between touchpoints.
The attribution algorithm is trained on your specific customer data and uses machine learning to determine the ideal importance of each stage, following incremental principles.
This already gives you a highly customised, data-driven attribution model — but you can further refine it with a few key adjustments:
⚙️ 1. Exclude Channels from Attribution
You can choose to exclude specific channels from the attribution model. This is useful if you want to place more emphasis on the channels that truly drive new customer journeys — i.e., channels that are incremental to your acquisition growth.
For example, you might want to exclude channels that primarily capture branded traffic, such as Paid Search Brand or Direct.
What happens when you exclude a channel?
The algorithm will no longer consider its touchpoints in the attribution model.
This increases the weight of other, potentially more incremental, touchpoints.
A channel will only show conversions if it's the sole touchpoint — or if it's part of a journey made up entirely of excluded channels.
We will exclude this channel when modeling conversions to match your shop system's order data.
The AI Click & View model reallocates orders from these channels. Users who don’t click often convert later via direct or branded search, so the uplift from view-based channels is taken from this group of channels
👁️🗨️ 2. Include View Conversions for Paid Channels
You can also decide whether to include View Conversions from your paid media channels.
If enabled, Kickbite calibrates the Click Attribution model using statistical models that evaluate the relationship between view conversions (coming from your ad accounts) and your baseline sales.
Should you use this setting?
Yes — especially for creative-heavy social channels like Meta or TikTok. These channels are often undervalued in click-only models because their impact is more visual and brand-driven.
Either way, you'll always have the flexibility to toggle between AI Click and AI Click & View Attribution directly in your dashboards.