A question buyers ask AI

How do product analytics tools calculate retention differently, and why do two tools often give you retention curves that disagree?

Measured in 1 answer, last on Nov 10, 2026. Only the passages that name a brand are shown.

Brands in the answers

BrandNamed inRecommended inPositiveAvg. position
Mixpanel100%0%0%—
Amplitude100%0%0%—
PostHog100%0%0%—

Where each answer names a brand

Answer 1 · Nov 10, 2026 · 5 sources cited
“Dimension | Amplitude | PostHog | Mixpanel”
+ supports different retention behaviors and time intervals

“: Supports different retention behaviors and time intervals. Its retention methodology can distinguish rolling intervals from calendar intervals.”

“Amplitude also documents weighted retention calculations.”
+ documents weighted retention calculations

“Amplitude also documents weighted retention calculations.”

+ excludes incomplete intervals from certain overall retention calculations

“Amplitude explicitly documents that incomplete intervals are excluded from certain overall retention calculations, which can cause an apparent upward curve when data is still accumulating.”

+ supports rolling 24-hour and strict calendar-day calculations

“: Its documentation distinguishes between exact-day and on-or-after retention. It also supports rolling 24-hour and strict calendar-day calculations.”

“PostHog, for example, explicitly distinguishes between first-time, first-ever-occurrence, and recurring retention cohorts.”
+ distinguishes cohort-entry methods

“PostHog, for example, explicitly distinguishes between first-time, first-ever-occurrence, and recurring retention cohorts.”

+ offers simple and weighted mean calculations

“PostHog explicitly offers both simple and weighted mean calculations.”

+ multiple cohort-entry methods and retention reference options

“: Offers several cohort-entry methods, two retention reference options, and simple versus weighted averages.”

Sources the answers cite

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