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With marketing becoming increasingly programmatic, it is important to leverage every possible metric that can provide insights into customer behavior.
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Scooped by Luca Naso |
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Another example of how Data Anlytics can help to burst conclusions based on common sense.
It makes sense that buying more expensive products requires longer conversion lag. However the second plot in this example shows that this is not the case.
Large conversion lags (e.g. 10 days) are seen for both low and high price orders (e.g. $40 and $400), and actually the price-orders range looks the same for both the short and the long time lag peaks.