What is Repeat Participation Rate?
Repeat Participation Rate (RPR) measures the proportion of people who take part in your surveys more than once over a defined period. It shows how many respondents are returning contributors rather than one‑time participants.
Repeat Participation Rate is a simple engagement metric: the number of unique participants who completed two or more surveys (or submitted more than one response) divided by the total number of unique participants in the same period. You can measure it for a single campaign, across recurring surveys, or within a cohort (for example, parents at a school or residents in a neighbourhood). RPR can be calculated either by counting unique respondents (people-based) or by counting responses from returning participants (responses-based). Tracking requires a consistent identifier (email, account ID, or a hashed token); if you run anonymous surveys you may need optional IDs or other privacy-conscious approaches. Define the timeframe (monthly, per project, annually) before you calculate RPR so comparisons are meaningful.
Usage example
A primary school runs three termly parent surveys in one year. 200 different parents took part across those surveys; 50 of them responded more than once. Repeat Participation Rate = 50 ÷ 200 = 25%. After adding multilingual support, the school saw RPR among non‑English speaking parents increase from 18% to 32%, showing improved ongoing engagement.
Practical application
RPR matters because it gives you a quick view of ongoing engagement and trust. High repeat participation suggests people find the process useful, accessible and worth returning to — a sign your outreach, language access and follow‑up are working. Low or falling RPR can indicate barriers: language, confusing questions, lack of perceived impact, or outreach gaps. Use RPR to: track the effectiveness of multilingual improvements, spot communities with low return rates that need extra outreach, evaluate whether a small group is dominating responses, and measure long‑term engagement rather than one‑off spikes. Remember: context matters — a one‑off consultation will have a different expected RPR than a recurring feedback programme.
FAQ
How exactly do I calculate Repeat Participation Rate?
Decide your unit (people or responses) and timeframe. People-based RPR = (number of unique participants with ≥2 responses) ÷ (total unique participants). Responses-based variant = (responses from returning participants) ÷ (total responses). Use a consistent identifier to tie responses to the same person.
Can I measure RPR if my surveys are anonymous?
You can, but it’s harder. Offer an optional anonymous ID, use hashed tokens, or invite participants to provide a non-identifying code. Avoid relying on IP addresses because they’re unreliable and privacy-sensitive. If true anonymity is required, consider measuring cohort-level proxies (e.g., repeat response patterns by area or distribution channel) rather than individual RPR.
What is a ‘good’ Repeat Participation Rate?
There’s no universal benchmark — acceptable RPR depends on context, frequency and audience. For recurring programmes, higher and rising RPRs are desirable. For one-off public consultations, lower RPR is normal. Focus on trends (improving or declining) and compare similar cohorts (language groups, channels, or demographics) rather than aiming for a single target number.
How can I improve Repeat Participation Rate?
Make participation easy and relevant: reduce friction (no account required), provide clear language and multilingual options, show participants that their feedback leads to action, send timely reminders, and optimise survey length and mobile experience. For Hearo users, improving translations and letting participants flag wording problems can increase trust and encourage returns.