Understand the performance of each traffic source
Compare your Traffic Sources
Odyssey gathers data from all your traffic sources. Use this data to analyze, compare and improve the performance of your traffic source. Instantly compare things like volume, incrementality, revenue, ad spend and many more.
Make better decisions with ad spend recommendations
Ad Spend Recommendations
Increase your online marketing performance due to the actionable insights of Odyssey. After analyzing each traffic source on a granular level, Odyssey will provide you with a suggested ad spend. Compare this to your current ad spend to identify opportunities and bottlenecks.
Seamless integrations with all the ad platforms you're using
Integrations with Ad Platforms You're Already Using
Easily connect the ad platforms you're using to Odyssey. By connecting these you'll see the current ad spend in your Odyssey dashboard. Compare current ad spend to the suggested ad spend to better allocate your online marketing campaign.
Use our three simple KPIs
Odyssey's Transparent Calculations
Being transparent is one of the core values of Odyssey. We make calculations based on a public calculation every user can find in the interface. We use three KPIs to determine the incremental value of a traffic source: (1) length, (2) density and (3) position.
There is no one size fits all
Choose your own Attribution Model
Every business is unique. Every quarter is unique. Every campaign is unique and every customer is unique. There is no one size fits all regarding attribution models. Therefore, you are free to choose the attribution model you prefer in Odyssey. You can even compare different attribution models with each other.
First Click Linear
In the first click model, most of the value is attributed to the first touchpoint. This is based on the idea that the first -initiating- touchpoints are most valuable to your business.
Last Click Linear
This is applicable when assumed that the last/converting click is most valuable to you. The first touchpoints are rewarded a smaller amount, building up to the last touchpoint that is of highest value.
The Linear attribution model distributes the value equally over all touchpoints in the customer journey. This model is fit when all touchpoints are of equal importance to your business.
As a user, you can adjust the formula used for the attribution model and thus “build” your own model. This allows you to adjust the attribution over the respective touchpoints any way you like.