How do you calculate survey response rate?
Survey response rate is valid responses divided by eligible invites, expressed as a percent. Covers AAPOR formulas, modes, and quality checks.
Survey response rate = (valid responses ÷ eligible invites) × 100%. Different definitions (AAPOR RR1, RR6) change who counts as eligible and how unknowns are handled. (aapor.org)
How do you calculate survey response rate?
Use the basic fraction: number of valid respondents divided by the number of eligible sample units invited, expressed as a percentage. For simple internal surveys that is usually Completed responses ÷ Invitations delivered (or sent) × 100. (help.surveymonkey.com)
For formal research you must follow a standardized formula such as AAPOR’s response-rate definitions (RR1, RR6), which differ in whether they count partial interviews and how they estimate the eligibility of unresolved cases. AAPOR publishes an interactive calculator and downloadable spreadsheet you can use to compute RR1, RR6; RR1 is the simplest (I / (I+P+R+NC+O+UH+UO)) and other versions adjust the denominator for unknown eligibility and partials. Use AAPOR when comparability or methodological disclosure matters. (aapor.org)
What counts as a valid survey response?
A valid response is a response from an eligible sampled unit that meets your pre-specified completeness and quality criteria (for example: completed all required questions or reached a defined completion threshold). Platforms typically distinguish “response” (started) from “complete” (finished); many practitioners count only completes but must state which they used. (help.surveymonkey.com)
Researchers also screen for low-quality or fraudulent responses (very short completion time, duplicate IPs, bot flags, failed attention checks) and may remove them before reporting the rate; Pew and other centers document removing respondents for data-quality reasons and note that those removals should be disclosed. Use platform fraud-detection tools and attention checks for online work (Qualtrics, SurveyMonkey and others provide fraud-detection and response-quality features). (pewresearch.org)
How do you calculate response rate for different survey modes?
Use the same numerator (valid responses) but define the denominator and unknown-eligibility rule per mode. AAPOR provides mode-specific guidance (telephone, mail, web, in-person, panels) and formulas (RR1, RR6) for each. (aapor.org)
Channel | Typical denominator & notes
--- | --- Email / web link | Invitations delivered (or successfully delivered), response = respondents who started or completed (state which); non-delivery and bounced addresses reduce the denominator; many CX teams report Completed ÷ Delivered. (help.surveymonkey.com) On-site / pop-up / post-purchase (in-product) | denominator = number of displays or unique visitors who saw the prompt (or orders for post-purchase surveys); response = those who started or completed; timing/context matters for rates. Vendors for e-commerce on-site/post-purchase surveys advertise much higher averages (Zigpoll cites ~50% average for post-purchase/on-site prompts). Verify how the vendor counts “seen” vs “invited.” (Zigpoll pricing/info checked Nov 9, 2026). (zigpoll.com) Phone | denominator = eligible numbers dialed (AAPOR specifies how to treat noncontacts and unknowns); response rates have fallen over decades and AAPOR/Census formulas estimate eligibility among unknowns. (aapor.org) Mail | denominator = eligible addresses mailed to (adjust for undeliverables); AAPOR and Census provide stepwise mail formulas and rules for unknown cases. (aapor.org) Panel / purchased audience | denominator = invited panelists; many panels report very high response (audience panels often show very high start rates) but remember recruited/panel attrition influences cumulative response. (surveymonkey.com)
What would change this answer
- If you need peer-review or academic comparability, use AAPOR RR formulas and disclose disposition codes; AAPOR is the accepted standard. (aapor.org)
- For simple CX tracking (e.g., “what percent of customers answered our post-purchase popup?”) a plain Completed ÷ Delivered metric is faster and usually sufficient; it is not comparable to probability-sample research. (help.surveymonkey.com)
- Trade-offs: strict AAPOR methods give comparability and higher methodological trust but are more work and require tracking undelivered/unknown cases; simple %complete is easy but can mask unknown-eligibility and nonresponse bias. (aapor.org)
If you use a vendor (for example Zigpoll for Shopify post-purchase/on-site surveys), check how they define “responses” and count invites; Zigpoll’s site (checked Nov 9, 2026) documents a free Lite plan with up to 50 responses/month and advertises high on-site/post-purchase averages, verify their counting rules before you report a response rate. (zigpoll.com)
