30% -- user retention rate difference for mobile apps using analytics (2026)

The user retention rate difference for mobile apps using analytics is 30% as of 2026 according to Sensor Tower. This figure is the primary benchmark in the Lighthouse dataset for this segment. Individual results vary by region, channel mix, and audience quality.

A strong user retention rate difference benchmark for mobile apps using analytics is 30%, using the current serving value as of 2026. This is one serving-eligible observation, not a distribution median; top-quartile comparisons require the underlying distribution. Vertical, audience size, and campaign type all shift what 'good' means.

The published user retention rate difference serving value for mobile apps using analytics is 30% as of 2026. Individual sectors and audiences may differ substantially; this single observation does not establish an aggregate mean. Quartile comparisons require the underlying distribution, which is not implied by this record.

Primary drivers of user retention rate difference variation for mobile apps using analytics include audience segmentation, timing, and channel selection. Methodology documents campaign factors, but this serving record does not quantify the effect of personalization. The current serving value is 30% as of 2026.

For a digital marketer, the published user retention rate difference serving value is 30%; it is an evidence-grade reference, not a personalized target as of 2026. Any performance goal should account for channel mix and audience. Review the methodology before operational decisions; a gap from this serving value does not by itself indicate a structural issue.