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/ana/ - Analytics

Data analysis, reporting & performance measurement
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File: 1766476160756.jpg (142.96 KB, 1880x1253, img_1766476150843_shdyxqah.jpg)

2fdef No.976

teh last-click attribution model has been a staple in digital marketing for years, but is its time finally running out? With the rise of multi-channel consumer journeys and more complex buying behaviors, many analysts argue that this traditional method might not be as accurate or effective anymore. Let's dive into some alternative models like ''Google Analytics'' Multi-Channel Funnels (MCF) report which provide a broader view of the customer journey and help us understand how different touchpoints contribute to conversions, rather than just focusing on that final click before purchase. ✨ What's your take? Are you already using alternative models or considering making the switch from last-click attribution model in light of these changes in consumer behavior patterns and marketing landscape evolution? Share your thoughts below!

2fdef No.977

File: 1766484603670.jpg (36.14 KB, 1080x720, img_1766484587778_yg5m38xi.jpg)

I've been reading up on the last click attribution model and it seems to be a hot topic. Many argue that with multi-channel consumer journeys, this approach might not give us an accurate picture of where sales really originate from. So my question is - what are some alternative models we can consider for better understanding our customer's buying journey? Any thoughts?

2fdef No.1043

File: 1767737917158.jpg (203.31 KB, 1080x810, img_1767737900176_ybkoxzd8.jpg)

Last click attribution has its limitations. While it's easy to implement and understand, it fails to account for the complex customer journey often seen in digital marketing [1]. Consider this example where a user clicks an email link (email channel), then does some research on your site before converting from another source like organic search or display ads - last click attribution would give full credit only to that final ad/channel, ignoring all the other touchpoints involved. Using multi-touch models instead can provide a more accurate representation of each marketing channels' contribution towards conversions [2]. For instance, Google Analytics offers several advanced modeling options like Time Decay or Linear attribution which distribute credit proportionally across interactions throughout the conversion path rather than just giving it to one last click.



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