How to Reduce Drop-off and Maximize Quiz Completion Rate

Quizzes can be a powerful tool to engage users, collect valuable data, and even segment your audience for targeted marketing. However, creating a quiz that maintains the user's interest from start to finish can be challenging. High drop-off rates can significantly affect the effectiveness of your quiz.

This guide offers practical steps and strategies to reduce drop-off rates and maximize quiz completion rates.

Step 1: Review Drop-Off Metrics

Start by examining the drop-off metrics provided by RevenueHunt Product Recommendation Quiz. These metrics will highlight where participants are leaving the quiz, allowing you to pinpoint problem areas effectively.

Not available for 💎 Built for Shopify version

The Drop-off data is not yet available for the 💎 Built for Shopify version of the RevenueHunt app. But you can measure the drop off by connecting the quiz to Google Analytics or Meta Pixel.

Which data to check?

First, identify High Drop-off Questions. Focus on questions with the highest drop-off rates, especially those asking for personal details like email addresses. These are typically where you might lose participants' interest or willingness to continue.

Drop-off Rate Formulas

Overall Drop-off Rate: Drop-off Rate (%) = [(Quiz Starts – Quiz Completions) ÷ Quiz Starts] × 100

Per-Question Drop-off Rate: Drop-off Rate at Question i (%) = [(Users who reached Question i – Users who reached Question i+1) ÷ Users who reached Question i] × 100

Completion Rate: Completion Rate (%) = [Quiz Completions ÷ Quiz Starts] × 100

Then, check the following metrics:

• Start Rate - % of page visitors who actually start the quiz. Why? Low = landing page headline/CTA issue, slow load, or poor value proposition.

• Completion Rate - % of quiz starts that reach the results screen. Why? The high-level success metric you’re trying to improve.

• Per-Question Exit Rate - Drop-off % at each question. Why? Pinpoints the exact step(s) causing abandonment.

• Average Time Per Question - Look for spikes: if one question takes 2–3× longer than others, it’s either confusing or too demanding.

• Total Quiz Duration - Average time from first to last question. Why? Compare against your design goal (≤60–90s). Longer times predict higher abandonment.

• Lead Capture Metrics - % of users who provide email when asked. Why? Check drop-off before vs. after this step — forcing email can sink completions.

• Leads per 100 Quiz Starts - Combines completion + opt-in. Useful for seeing if completion rate tradeoffs are worth it.

Step 2: Implement Strategies for Reducing Drop-off

Once you know where the problem is try implementing these strategies to reduce drop-off within your Product Recommendation Quiz:

Value Up Front

• Expose the value up front. First screen: what they get + how long it takes. E.g., “Takes 45s. Get your routine + 10% off.”

• Set a time budget. Design for ≤60–90 seconds total or max. 5–8 questions. Anything longer needs a clear value promise (“3-step routine + 10% off”).

Quiz Length & Flow

• Kill irrelevant questions with branching. Use jump/skip logic so each path is ≤6 questions. If a question doesn’t change the recommendation, remove it.

• Sequence for momentum. Start with the easiest, most visual questions; place the longest/most personal near the end.

• Offer “I’m not sure.” Add a neutral choice that still maps to a safe default. Users shouldn’t feel stuck.

Question & Answer Design

• Prefer tap over typing. Replace text inputs with single-tap choices, sliders, or toggles. If text is unavoidable, one field per screen.

• Shrink choices. 3–6 options per screen; use images or icons; ensure options are mutually exclusive.

• Keep copy scannable. 1–2 short lines max per question. Use helper text only when it changes the answer.

Email & Data Capture

• Make email optional and valuable. Label clearly (“Optional”) and offer a specific incentive (e.g., “10% off now”). Place it after value is built (last or second-to-last step). Make the email question optional in question settings and clearly indicate this choice to the user.

• Give results even without email. Gate extras (PDF routine, detailed guide, bundle pricing) behind email — not the core results.

• Use trust cues at friction points. Near the email step: “No spam, unsubscribe anytime,” privacy link, and social proof (“2,184 shoppers helped this month”).

Tip: Email Question

Consider the value of obtaining a participant's email. Assess whether the potential long-term benefits, like building your email list for targeted marketing, outweigh the immediate goal of quiz completion.

UX & Quiz page

• Show progress the way humans parse it. “3 of 6” beats “50%.” Keep the total constant (no adding hidden steps mid-flow).

• Pause competing popups. While quiz is active, hide newsletter/chat popups and overlays. Resume them after completion.

• Reduce visual noise. On the quiz page, hide sticky headers/footers, promo banners, and auto-carousels that steal focus.

• Result screen matters. Render the top picks instantly; place secondary content later on the page.

• Accessibility = completions. Proper labels, focus order, visible focus state, sufficient contrast. Screen-reader friendly progress (“Step 2 of 6”).

Step 3: A/B Test

Create a variation of your quiz with the implemented changes, such as making it shorter and adjusting the approach to collecting emails.

Run both the original and the modified quizzes simultaneously to see which version has a higher completion rate.

Tip

Check our How to A/B Test You Quiz article for instructions.

Step 4: Continous Improvement

Use the Product Recommendation Quiz analytics or GA4 to review the performance of both quiz versions.

Pay attention to the completion rates and participant feedback to understand what works best.

Continuously refine your quiz based on these insights, aiming for an optimal balance between information collection and user experience.

---

By closely monitoring in-app drop-off metrics and experimenting with different quiz formats and strategies, you can improve quiz completion rates.