Diminishing returns and saturation effect now visible using Adalyser
In advertising it is key to understand the impact overall that an increase in spend can have on leads or sales. Linear regression analysis is just one way in which this is possible.
What is equally important is to show how diminishing returns might also play a part and identify any saturation effect. So in addition to linear regression, we have now added a polynomial regression tool.
Adalyser subscribers can now see a 'best fit', be it linear or polynomial, so any saturation effect will be clearly visible.
The scatter chart below shows an advertiser on TV and their spend and leads plotted. We can see the two lines - one straight (linear) and one curved (optimal).
It is also possible to enter a target cost per lead (CPL) figure and, in the case of diminishing returns, the point at which target CPL is no longer being achieved by an increase in spend will be marked with a red cross on the chart.
This provides a powerful tool for informing spending decisions and ensuring that your money is providing the return that you require.
For subscribers this feature is now live and visible in all of your campaigns, for further information, please get in touch with your account manager.
Adalyser is a secure web based tool that media agencies around the world subscribe to. It enables users (planners, buyers, account managers, data analysts) to quickly access accurate insight on advertising campaign performance in real time. This valuable insight can be used to optimise advertising campaigns across all media channels.
If you are interested in seeing a demonstration of Adalyser please get in touch with the sales team on +44 (0) 333 666 7366 or e-mail [email protected]















