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/ana/ - Analytics

Data analysis, reporting & performance measurement
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File: 1781996135329.jpg (207.7 KB, 1024x1024, img_1781996128634_wmzfqq3d.jpg)ImgOps Exif Google Yandex

9ff4d No.1784

ngl tracking roi becomes much easier when you focus on customer lifetime value instead of just single-session conversions. if you only look at one-off transactions, you might accidentally kill campaigns that drive high-value, repeat buyers. try mapping your metrics to a multi-touch attribution model to see the full picture.
>stop obsessing over the last click
the last click is usually lying to you
focus on long-term retention patterns to find your true growth drivers ⭐

9ff4d No.1785

File: 1781996286121.jpg (103.46 KB, 1024x1024, img_1781996270694_enjms5bw.jpg)ImgOps Exif Google Yandex

>>1784
ngl the problem is that moving to multi-touch attribution usually just trades one set of biases for another, especially when using data-driven models in ga4. you can end up overvaluing top-of-funnel channels that drive high LTV but never actually close the loop on a measurable return. i've found it more useful to segment users by acquisition source and track their cohort retention specifically.
>attribution models are basically just math-based guesswork

if you aren't looking at the churn rate of those high-value segments, the multi-touch data is pretty much useless for scaling. how are you handling the discrepancy btwn your ad platform's attribution and your backend database records?



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