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Do reminder notifications keep working over time?

Notifications work, and then stop working

Bidargaddi et al., and the eHealth attrition literature (2018) · JMIR mHealth and uHealth

One estimate: a factor of 0.993 per day across the first thirty days, which compounds.

Notifications increase engagement in the short term, and the effect decays — one estimate puts it at a factor of 0.993 per day over the first thirty days after download, which compounds substantially across a month. Notification frequency above what people expect or need produces fatigue and loss of interest.

How it was done

Micro-randomised trials of push notifications in behaviour-change apps, alongside Eysenbach’s analysis of attrition as the defining feature of eHealth deployments.

What it means

The decay is the planning assumption. Any product whose value depends on prompt volume is on a timer, and shipping more prompts to compensate accelerates the thing it is compensating for.

The attrition literature adds that long-term engagement comes from people recognising a concrete benefit, not from prompt volume. Low barriers to entry do not produce adherence, because the barrier to exit is just as low.

The way out is not more notifications but prompts carrying something a generic reminder app cannot: an actual remembered detail.

What it doesn’t show

Effect estimates come from particular apps and populations and should not be read as a universal decay constant. Most of this work is in health behaviour change rather than social contact.

What Kept does about it

It is why Kept sends few, specific prompts and expects the value to come from the review ritual rather than the notification. It is also why we do not treat engagement as evidence that the product works.

Read the source

Bidargaddi et al., and the eHealth attrition literature (2018)JMIR mHealth and uHealth

Confidence: B — a single strong peer-reviewed study, or a consistent multi-study literature. We don’t publish anything weaker than this.

Related

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