Attribution Is More
Than Last-Click

It's been the beating heart of Ringside since day one.

We literally wrote the course on how to do it.

The team at Ringside has a strong marketing background, with a particular emphasis on attribution. Russell, our CEO, is a recognised authority on the subject.

He has spoken at many international conferences and authored several courses, including the renowned CXL course on attribution. This course has trained and continues to train thousands of marketers on how to do attribution the right way.

The industry foresight and deep understanding of the subject has been baked into everything we've built and you use.

CXL Attribution Course

We go further, so you can too.

Designed with deep attribution analysis in mind, Ringside moves beyond simple first-click or last-click models. It assesses over 100 factors within each visit and across the customer journey to accurately calculate a truer value of marketing and advertising efforts. Our machine learning algorithms analyse data without lookback limitations or platform biases, ensuring a comprehensive understanding of each channel and campaign's impact.

  • Machine learned model based on actual user events.
  • First and last click models still available.
  • Understand the (traditionally undervalued) role of organic search.
  • Correctly attribute the value of affiliates.

What the user actually does makes the difference.

The Ringside machine learning model integrates analytics data with on-site events. These events are the primary factor in the model's understanding of your marketing's impact.

Typically, the breakdown looks something like this:

Time 16%
Tech 6%
Marketing 17%
Visits 19%
Events 42%

Get in touch and discuss how an event based model would work with your business.

Understand the value of every visit in the journey.

Last-click for the last-time.

Using machine learning Ringside assesses the impact of each visit, calculating the true return on investment by determining how much influence each interaction has. This approach ensures a precise evaluation of the value of investment across all visits and channels.

For instance, look at this fairly typical e-commerce journey taking place across five visits, with a voucher code affiliate at the end:

Adwords2024-04-01
Paid Search

Keyword: “women’s sneakers”
Cost: £1.31

Visit #1
Google2024-04-03
Organic Search

Landing page: /womens/sneakers/

Visit #2
Meta2024-04-07
Paid Social

Landing page: /selected/seasonal
Cost: £0.44
Bounced visit

Visit #3
Google2024-04-11
Paid Search

Landing page:/pdp/run-fast-sneaker

Visit #4
Honey2024-04-11
Affiliate

Name: Honey Commission
Cost: £4.25

Visit #5
Customer
journey
CustomerArrow
Micro Events
Macro Event (product sale)

We can then see how this compares in a tradition last-click model, versus the distribution of the sale in a Ringside machine learned model:

A last click
attributed view.
A Ringside attributed view. Notice the conversions and revenue distributed throughout the customer’s journey, based on the impact of their actions during the visit.
Visit #1Visit #2Visit #3Visit #4Visit #5
Conversions00001
Revenue0000£76.50
Media Cost£1.310£0.440£4.25
ROI-100%--100%-1800%
RSD Conversions0.20.150.050.40.2
RSD Revenue£15.30£11.50£3.80£29.80£15.30
RSD ROI1167%100%863%100%360%
Arrows

Go further with attribution.

We'd love to show you how attribution with Ringside can benefit your business.
Drop us a line using the form below and we'll chat.

More questions? Get in touch.