Do you consider the influence of each session that happened prior to a purchase?
Most of your customers visit the website more than twice before they make a purchase.
With the Last-Click attribution model, you ignore the effect of approximately 80% of sources that were involved on a customer’s way to a purchase.
Do you consider sales through brick-and-mortar stores and call centers?
Does the sales volume in Google Analytics match your real revenue?
If your customers choose products on the website but buy them at a brick-and-mortar store or through a call center, you drastically underestimate the influence of online campaigns.
Do you evaluate channels only by their position in the visit sequence?
Position-based attribution models (Linear, Time Decay, U-Shape etc.) don’t consider customers’ behavior during the session.
Is your attribution model transparent and clear?
Most of the complex models don’t allow you to access the raw data, which means you can’t verify the logic of calculations.
You can only see aggregated data at the level of advertising campaigns. This means that you can’t see how the value is assigned at the level of each actual user or transaction.
Find out the real impact of your advertising campaigns
Accurate funnel models
The less is likelihood — the bigger value will be attributed to the session where a customer overcame this step.
Probability is calculated considering customer behaviour and your sales funnel specifications.
There is no need to guess which attribution model you should apply anymore.
Use unified model and attribute value based on the customer journey inside the sales funnel, not on the position of the traffic source in a sequence.
Get the complete information about customer actions both on your website and at brick-and-mortar stores
Estimate your real revenue, considering the one from brick-and-mortar stores as well as cancelled orders
Attribute the gross margin of the sold products, not the transaction revenue
Transparent calculations, unlimited reports
You get full access to each click, each session and each step of the calculations in Google BigQuery.
Moreover, all the data is stored in your project in Google Cloud Platform and belongs to you. The Funnel Based Attribution simply helps you make more sense out of your data.
Learn more about your customers
This enables you to evaluate the costs and to group them, based on each parameter of the session.
Simple start, quick calculations
Funnel Based Attribution uses unsampled Google Analytics Enhanced Ecommercedata to perform the calculations.
You don’t need to place any additional tracking tags on your website.
All the calculations are performed in Google BigQuery.
Because of this you get the results within minutes, even if you need to process tonnes of data.
You’ve Got Questions? We’ve Got Answers!
Our attribution model provides you with the access to all your data in Google BigQuery. So you can always check calculations and find out the real value of each order and each session.
These attribution models evaluate traffic sources based on their position and do not consider real customer behaviour during the session. The disadvantage here is that the session will get the same value no matter if the customer just added a product to a cart or proceeded to the checkout. On the other hand, our attribution model evaluates session based on the customer behaviour on his way to a purchase.
Last Non-Direct Click model evaluates just the impact of the last source and doesn’t consider all previous sources. Even if the customer was introduced to a product that he finally bought and added it to a cart the value will be assigned to the last source. Attribution model based on the customer journey inside the sales funnel considers the impact of each session in the sequence and it makes this approach more reliable.
Of course, our attribution model evaluated the source input at each step of the sales funnel
We use unsampled Google Analytics data. Tou can find detailed implementation description here.