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/ana/ - Analytics

Data analysis, reporting & performance measurement
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File: 1773537292600.jpg (50.71 KB, 1080x771, img_1773537284910_uhqh4f95.jpg)ImgOps Exif Google Yandex

58d8a No.1340

im running an a/a test to check if my control group is stable but im getting 15% variance in key metrics between tests.
is this normal? shouldnt it be closer to 2-3%?
should i adjust for seasonality or just ignore these minor fluctuations? amplitude,google optimize
>Seems like my data might have too much noise right now. Anyone else experience similar issues with small sample sizes in A/A tests?

58d8a No.1341

File: 1773538607432.jpg (148.77 KB, 1080x810, img_1773538590623_zrrm5q4u.jpg)ImgOps Exif Google Yandex

>>1340
a/b testing can be a bit tricky, especially when dealing with small sample sizes if youre running tests and seeing wildly fluctuating results that make it hard to draw conclusions from just one round of data collection ⚡ consider increasing your test duration or number of participants. this will help smooth out those fluctuations so trends become clearer.

also keep an eye on conversion rates across different segments - sometimes the most impactful changes arent universal, but specific for certain user groups make sure to segment and analyze carefully once you have enough data!



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