---
title: "Which audience sample size should I choose? | PickFu Help Center"
description: "When building your first poll, it may seem like you should choose a large sample size, but we suggest starting with 50."
---

# Sample size recommendations by goal

PickFu offers sample sizes of 15, 30, 50, 75, 100, 200, 300, and 500 respondents. For most polls, **50-75 respondents** is the sweet spot — it gives you enough data for actionable insights at a reasonable price with fast turnaround. But the best size for you depends on what you're trying to accomplish.

| Goal | Recommended size | Why |
| --- | --- | --- |
| Quick gut check or internal tiebreaker | 15–30 | Fast and affordable. Great for resolving simple A/B decisions or getting directional feedback. |
| Standard testing and iteration | 50–100 | The most popular range. Reliable data for comparing options, refining designs, and validating ideas. Ideal for iterative testing where you'll run multiple polls. |
| Statistically significant results | 200–300 | Strong enough for confident decision-making on high-stakes choices. Useful when you need to report findings to a team or stakeholders. |
| Large-scale research or niche targeting | 500 | Best for broad market research, audience discovery, or polls with very specific targeting that requires a larger pool to yield enough qualified respondents. |

# How to think about sample size

**Start smaller, then expand if needed.** You can always add more respondents to a completed poll by selecting "Get more respondents" on your results page. New respondents are added to the same poll — no need to rebuild it. This makes it easy to start with 50 and scale up to 100 or 200 if you want more confidence in the results.

**Consider your testing approach.** Many PickFu users run 3–5 polls per creative asset (packaging, listing images, book covers, etc.), iterating based on feedback each time. If you're planning multiple rounds, 50 respondents per round is more efficient than one poll with 200.

**Factor in targeting.** If you're using audience targeting with multiple trait categories, a smaller sample size (15–50) may complete faster than a large one. Highly targeted polls with 200+ respondents can take significantly longer because the qualified respondent pool is smaller.

**Budget accordingly.** Larger sample sizes cost more. If you're working with a limited budget, smaller polls with focused questions often give you better ROI than one large poll.

# When 15 respondents is enough

Don't underestimate small sample sizes. 15 responses can be plenty when you need to quickly decide between two clear options, resolve a disagreement on your team, or get an early read on a concept before investing more time. The written feedback alone often surfaces issues that a larger sample wouldn't change.

# When you need 200+

Larger sample sizes matter most when small differences between options need to be statistically reliable — for instance, when choosing a product's main image for a high-traffic listing, or when presenting research findings to stakeholders who expect rigorous data. They're also useful for audience discovery, where you're trying to understand how different demographic segments respond differently.

# You can always add more

This is worth repeating: you don't have to get the number right on the first try. After your poll completes, select **Get more respondents** at the top of your results page to add new respondents to the same poll. The new responses are added alongside the originals, and your results update automatically.

# FAQs

## What sample sizes are available?

15, 30, 50, 75, 100, 200, 300, and 500 respondents. If you need 1,000+ respondents, contact us at [support@pickfu.com](mailto:support@pickfu.com) to discuss enterprise options.

## Does sample size affect how long my poll takes?

Yes. Larger samples take longer to complete, especially with audience targeting. A 50-person random poll might finish in 15 minutes; a 500-person targeted poll could take much longer. [Learn how targeting affects completion time](https://help.pickfu.com/en/articles/14500590).

## Should I use a bigger sample to compensate for narrow targeting?

Not necessarily. If your targeting is already narrow, a bigger sample size just means it takes even longer to find enough qualified respondents. It's usually better to simplify your targeting than to increase sample size to compensate.

* * *

Related Articles

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How to choose your audience in PickFu

](https://help.pickfu.com/en/articles/2011986-how-to-choose-your-audience-in-pickfu)[

How to add more respondents to your poll

](https://help.pickfu.com/en/articles/2312899-how-to-add-more-respondents-to-your-poll)[

How does PickFu's pricing work?

](https://help.pickfu.com/en/articles/8188655-how-does-pickfu-s-pricing-work)[

How do I poll my own audience instead of PickFu's panel?

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How to use daily 5-person mini-polls in PickFu+

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