MARKETING
How to Optimize for Google’s Featured Snippets to Build More Traffic

The author’s views are entirely his or her own (excluding the unlikely event of hypnosis) and may not always reflect the views of Moz.
Google’s featured snippets started as an experiment almost a decade ago.
They have since become an integral part of Google’s SERPs, showing up for lots of queries.
In fact, featured snippets are now considered organic position #1, so it is part of any SEO strategy.
What are featured snippets?
Featured snippets are selected search results that are featured on top of Google’s organic results below the ads in a box.
Featured snippets aim at answering the user’s question right away (hence their other well-known name, “answer boxes”).
The recent studies reveal that featured snippets have an average 35% click-through rate.
Being featured means being on top of everything (except for ads), in the most prominent spot:
Types of featured snippets
There are three major types of featured snippets:
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Paragraph (an answer is given in text).
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List (an answer is given in a form of a list)
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Table (an answer is given in a table)
Each type can also include an image, and that image may come from a third-party page that is not featured. There may be 2 images included inside the featured box:

An older study from STAT: the most popular featured snippet is “paragraph” type.
Featured snippets or answer boxes?
The terminology may still be pretty loose here. Many people (including myself) are inclined to refer to featured snippets as “answer boxes,” obviously because there’s an answer presented in a box.
While there’s nothing wrong with this terminology, it creates a certain confusion because Google often gives a “quick answer” (a definition, an estimate, etc.) on top without linking to the source:

To avoid confusion, let’s stick to the “featured snippet” term whenever there’s a URL featured in the box, because these present an extra exposure to the linked site (hence they’re important for content publishers):

Do I have a chance to get featured?
Yes.
According to another older research by Ahrefs, about 100% of featured pages already rank in top 10 of Google. So if you are already ranking in top 10 for related search queries, you have very good chances to get featured.
Featured snippets appear and disappear for the same queries but you have higher chances to get featured if there’s already a featured snippet showing up for your target query (i.e. Google has already identified search intent for your query as informational).
Obviously, based on the purpose of the search section (i.e. to give a quick answer), you have a higher chance of getting featured if you answer a lot of questions in your content.
Identify all kinds of opportunities to be featured
Start with good old keyword research
Multiple studies confirm that the majority of featured snippets are triggered by long-tail keywords. In fact, the more words that are typed into a search box, the higher the probability there will be a featured snippet.
It’s always a good idea to start with researching your keywords. Moz’s Keyword Explorer is a good place to start.
When performing keyword research with featured snippets in mind, note that:
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Start with question-type search queries (those containing question words, like “what,” “why,” “how,” etc.) because these are the easiest to identify, but don’t stop there…
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Target informational intent, not just questions. While featured snippets aim at answering the user’s question immediately, question-type queries are not the only types that trigger those featured results. According to the aforementioned Ahrefs study, the vast majority of keywords that trigger featured snippets were long-tail queries with no question words in them.
It helps if you use a keyword research tool that shows immediately whether a query triggers featured results. SE Ranking offers a nice filter allowing you to see keywords that are currently triggering featured snippets:

You can also run your competitor in Serpstat and then filter their best-performing queries by the presence of featured snippets.
This is a great overview of your future competition, enabling you to see your competitors’ strengths and weaknesses.
Browse Google for more questions
To further explore the topic, be sure to research popular niche questions.
Tools like Buzzsumo and Text Optimizer can give you a good insight into questions people tend to ask around your topic:

Identify search queries where you already rank high
Your lowest-hanging fruit is to identify which phrases you already rank highly for. These will be the easiest to get featured for after you optimize for answer boxes (more on this below).
Google Search Console shows which search queries send you clicks. To find that report,

Note that Search Console labels featured snippet positions as #1 (SEO used to call them position 0). So when you see #1 in Google Search Console, there’s nothing to do here. Focus on #2 and lower.
You can then use the filters to find some question-type queries among those:

Go beyond traditional keyword research tools: Ask people
All the above methods (albeit great) tackle already discovered opportunities: those for which you or your competitors are already ranking high. But how about venturing beyond that? Ask your readers, customers, and followers how they search and which questions they ask.
MyBlogU: Ask people outside your immediate reach
Move away from your target audience and ask random people what questions they have on a specific topic and what would be their concerns. Looking out of the box can always give a fresh perspective.
MyBlogU (disclaimer: I am the founder) is a great way to do that. Just post a new project in the ” Brainstorm” section and ask members to contribute their thoughts.

Seed Keywords: Ask your friends and followers
Seed Keywords is a simple tool that allows you to discover related keywords with help from your friends and followers. Simply create a search scenario, share it on social media, and ask your followers to type in the keywords they would use to solve it.
Try not to be too leading with your search scenario. Avoid guiding people to the search phrase you think they should be using.
Here’s an example of a scenario:

And here are the suggestions from real people:

Obviously, you can also create similar surveys with tools like WP Forms or Google Forms.
Organize questions and keywords
I use spreadsheets to organize questions and keyword phrases I discover (see more on this below). Some of these questions may become a whole piece of content, while others will be subsections of broader articles:
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I don’t try to analyze search volume to decide whether any of those questions deserve to be covered in a separate article or a subsection. (Based on the Ahrefs research and my own observations, there is no direct correlation between the popularity of the term and whether it will trigger a featured snippet).
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Instead, I use my best judgment (based on my niche knowledge and research) as to how much I will be able to tell to answer each particular question. If it’s a lot, I’ll probably turn it into a separate article and use keyword research to identify subsections of the future piece.
Optimizing for featured snippets
Start with on-page SEO
There is no magic button or special markup which will make sure your site gets featured. Of course, it’s a good idea to start with non-specific SEO best practices, simply because being featured is only possible when you rank high for the query.
Randy Milanovic did a good overview of tactics of making your content findable. Eric Brantner over at Coschedule has put together a very useful SEO checklist, and of course never forget to go through Moz’s SEO guide.
That being said, the best way to get featured is to provide a better answer. Here are a few actionable tips:
1. Aim at answering each question concisely
My own observation of answer boxes has led me to think that Google prefers to feature an answer which was given within one paragraph.
An older study by AJ Ghergich cites that the average length of a paragraph snippet is 45 words (the maximum is 97 words), so let it be your guideline as to how long each answer should be in order to get featured.
This doesn’t mean your articles need to be one paragraph long. On the contrary, these days Google seems to give preference to long-form content (also known as ” cornerstone content,” which is obviously a better way to describe it because it’s not just about length) that’s broken into logical subsections and features attention-grabbing images.
Even if you don’t believe that cornerstone content receives any special treatment in SERPs, focusing on long articles will help you to cover more related questions within one piece (more on that below).
All you need to do is to adjust your blogging style just a bit:
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Ask the question in your article (that may be a subheading)
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Immediately follow the question with a one-paragraph answer
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Elaborate further in the article
This tactic may also result in higher user retention because it makes any article better structured and thus a much easier read. To quote AJ Ghergich,
When you use data to fuel topic ideation, content creation becomes more about resources and less about brainstorming.
2. Be factual and organize well
Google loves numbers, steps and lists. We’ve seen this again and again: More often than not, answer boxes will list the actual ingredients, number of steps, time to cook, year and city of birth, etc.
Use Google’s guide on writing meta descriptions to get a good idea what kind of summaries and answers they are looking to generate snippets (including featured snippets).
Google loves well-structured, factual, and number-driven content.
There’s no specific markup to structure your content. Google seems to pick up <table>, <ol>, and <ul> well and doesn’t need any other pointers. Using H2 and H3 subheadings will make your content easier to understand for both Google and your readers.
3. Make sure one article answers many related questions
Google is very good at determining synonymic and closely related questions, so should be you. There’s no point in creating a separate page answering each specific question.
Creating one solid article addressing many related questions is a much smarter strategy if you aim at getting featured in answer boxes. This leads us to the next tactic:
4. Organize your questions properly
To combine many closely related questions in one article, you need to organize your queries properly. This will also help you structure your content well.
I have a multi-level keyword organization strategy that can be applied here as well:
For example:

Serpstat helps me a lot when it comes to both discovering an article idea and then breaking it into subtopics. Check out its ” Questions” section. It will provide hundreds of questions containing your core term and then generate a tag cloud of other popular terms that come up in those questions:

Clicking any word in the tag cloud will filter results down to those questions that only have that word in them. These are subsections for your article.

Here’s another good guide on identifying your keyword modifiers (groups) and using those to structure your content.
Here’s a good example of how related questions can help you structure the article:

5. Make sure to use eye-grabbing images
Paragraph featured snippets with images are ridiculously eye-catching, even more so than regular featured snippets. Honestly, I wasn’t able to identify how to add an image so that it’s featured. I tried naming it differently and I tried marking it as “featured” in the WordPress editor. Google seems to pick up a random image from the page without me being able to point it to a better version.
That being said, the only way to influence that is to make sure ALL your in-article images are eye-catching, branded, and annotated well, so that no matter which one Google ends up featuring, it will look nice.
Optimizing and branding your images well is crucial for featured snippet optimization because images are often included in featured boxes, and in many cases those images come from different domains.

Clicking images within featured images enlarges that image inviting the user to go to the linked site. In other words, this can be a traffic-building opportunity for non-featured sites.
Google is pulling these images from Google Images search results, so image optimization is important for driving traffic from featured snippets.
Also don’t forget to update and re-upload the images (on WordPress). WordPress adds dates to image URLs, so even if you update an article with newer information the images can be considered kind of old.
Monitor your progress
You are already monitoring your organic positions, and featured snippets are tracked as #1 position these days.
For your most important keywords, you may want to set up closer monitoring to be alerted when Google changes anything:

How about structured markup?
Many people would suggest using Schema.org (simply because it’s been a “thing” to recommend adding schema for anything and everything) but the aforementioned Ahrefs study shows that there’s no correlation between featured results and structured markup.
Conclusion
It takes a lot of research and planning and you cannot be sure when you’ll see the results (especially if you don’t have too many top 10 rankings just yet) but think about this way: Being featured in Google search results is your incentive to work harder on your content. You’ll achieve other important goals on your way there:
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You’ll discover hundreds of new content ideas (and thus will rank for a wider variety of various long-tail keywords)
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You’ll learn to research each topic more thoroughly (and thus will build more incoming links because people tend to link to in-depth articles)
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You’ll learn to structure your articles better (and thus achieve a lower bounce rate because it will be easier to read your articles)
Update: We have released a featured snippet optimization tool. With it, you can see exactly what your featured snippet opportunities are and what it may take to grab each of them (based on where the featured page ranks organically, where your page ranks and what type of featured snippet to optimize for.)
MARKETING
OpenAI’s Drama Should Teach Marketers These 2 Lessons

A week or so ago, the extraordinary drama happening at OpenAI filled news feeds.
No need to get into all the saga’s details, as every publication seems to have covered it. We’re just waiting for someone to put together a video montage scored to the Game of Thrones music.
But as Sam Altman takes back the reigns of the company he helped to found, the existing board begins to disintegrate before your very eyes, and everyone agrees something spooked everybody, a question arises: Should you care?
Does OpenAI’s drama have any demonstrable implications for marketers integrating generative AI into their marketing strategies?
Watch CMI’s chief strategy advisor Robert Rose explain (and give a shoutout to Sutton’s pants rage on The Real Housewives of Beverly Hills), or keep reading his thoughts:
For those who spent last week figuring out what to put on your holiday table and missed every AI headline, here’s a brief version of what happened. OpenAI – the huge startup and creator of ChatGPT – went through dramatic events. Its board fired the mercurial CEO Sam Altman. Then, the 38-year-old entrepreneur accepted a job at Microsoft but returned to OpenAI a day later.
We won’t give a hot take on what it means for the startup world, board governance, or the tension between AI safety and Silicon Valley capitalism. Rather, we see some interesting things for marketers to put into perspective about how AI should fit into your overall content and marketing plans in the new year.
Robert highlights two takeaways from the OpenAI debacle – a drama that has yet to reach its final chapter: 1. The right structure and governance matters, and 2. Big platforms don’t become antifragile just because they’re big.
Let’s have Robert explain.
The right structure and governance matters
OpenAI’s structure may be key to the drama. OpenAI has a bizarre corporate governance framework. The board of directors controls a nonprofit called OpenAI. That nonprofit created a capped for-profit subsidiary – OpenAI GP LLC. The majority owner of that for-profit is OpenAI Global LLC, another for-profit company. The nonprofit works for the benefit of the world with a for-profit arm.
That seems like an earnest approach, given AI tech’s big and disruptive power. But it provides so many weird governance issues, including that the nonprofit board, which controls everything, has no duty to maximize profit. What could go wrong?
That’s why marketers should know more about the organizations behind the generative AI tools they use or are considering.
First, know your providers of generative AI software and services are all exploring the topics of governance and safety. Microsoft, Google, Anthropic, and others won’t have their internal debates erupt in public fireworks. Still, governance and management of safety over profits remains a big topic for them. You should be aware of how they approach those topics as you license solutions from them.
Second, recognize the productive use of generative AI is a content strategy and governance challenge, not a technology challenge. If you don’t solve the governance and cross-functional uses of the generative AI platforms you buy, you will run into big problems with its cross-functional, cross-siloed use.
Big platforms do not become antifragile just because they’re big
Nicholas Taleb wrote a wonderful book, Antifragile: Things That Gain From Disorder. It explores how an antifragile structure doesn’t just withstand a shock; it actually improves because of a disruption or shock. It doesn’t just survive a big disruptive event; it gets stronger because of it.
It’s hard to imagine a company the size and scale of OpenAI could self-correct or even disappear tomorrow. But it can and does happen. And unfortunately, too many businesses build their strategies on that rented land.
In OpenAI’s recent case, the for-profit software won the day. But make no bones about that victory; the event wasn’t good for the company. If it bounces back, it won’t be stronger because of the debacle.
With that win on the for-profit side, hundreds, if not thousands, of generative AI startups breathed an audible sigh of relief. But a few moments later, they screamed “pivot” (in their best imitation of Ross from Friends instructing Chandler and Rachel to move a couch.)
They now realize the fragility of their software because it relies on OpenAI’s existence or willingness to provide the software. Imagine what could have happened if the OpenAI board had won their fight and, in the name of safety, simply killed any paid access to the API or the ability to build business models on top of it.
The last two weeks have done nothing to clear the already muddy waters encountered by companies and their plans to integrate generative AI solutions. Going forward, though, think about the issues when acquiring new generative AI software. Ask about how the vendor’s infrastructure is housed and identify the risks involved. And, if OpenAI expands its enterprise capabilities, consider the implications. What extra features will the off-the-shelf solutions provide? Do you need them? Will OpenAI become the Microsoft Office of your AI infrastructure?
Why you should care
With the voluminous media coverage of Open AI’s drama, you likely will see pushback on generative AI. In my social feeds, many marketers say they’re tired of the corporate soap opera that is irrelevant to their work.
They are half right. What Sam said and how Ilya responded, heart emojis, and how much the Twitch guy got for three days of work are fodder for the Netflix series sure to emerge. (Robert’s money is on Michael Cera starring.)
They’re wrong about its relevance to marketing. They must be experiencing attentional bias – paying more attention to some elements of the big event and ignoring others. OpenAI’s struggle is entertaining, no doubt. You’re glued to the drama. But understanding what happened with the events directly relates to your ability to manage similar ones successfully. That’s the part you need to get right.
HANDPICKED RELATED CONTENT:
Cover image by Joseph Kalinowski/Content Marketing Institute
MARKETING
The Complete Guide to Becoming an Authentic Thought Leader

Introduce your processes: If you’ve streamlined a particular process, share it. It could be the solution someone else is looking for.
Jump on trends and news: If there’s a hot topic or emerging trend, offer your unique perspective.
Share industry insights: Attended a webinar or podcast that offered valuable insights. Summarize the key takeaways and how they can be applied.
Share your successes: Write about strategies that have worked exceptionally well for you. Your audience will appreciate the proven advice. For example, I shared the process I used to help a former client rank for a keyword with over 2.2 million monthly searches.
Question outdated strategies: If you see a strategy that’s losing steam, suggest alternatives based on your experience and data.
5. Establish communication channels (How)
Once you know who your audience is and what they want to hear, the next step is figuring out how to reach them. Here’s how:
Choose the right platforms: You don’t need to have a presence on every social media platform. Pick two platforms where your audience hangs out and create content for that platform. For example, I’m active on LinkedIn and X because my target audience (SEOs, B2B SaaS, and marketers) is active on these platforms.
Repurpose content: Don’t limit yourself to just one type of content. Consider repurposing your content on Quora, Reddit, or even in webinars and podcasts. This increases your reach and reinforces your message.
Follow Your audience: Go where your audience goes. If they’re active on X, that’s where you should be posting. If they frequent industry webinars, consider becoming a guest on these webinars.
Daily vs. In-depth content: Balance is key. Use social media for daily tips and insights, and reserve your blog for more comprehensive guides and articles.
Network with influencers: Your audience is likely following other experts in the field. Engaging with these influencers puts your content in front of a like-minded audience. I try to spend 30 minutes to an hour daily engaging with content on X and LinkedIn. This is the best way to build a relationship so you’re not a complete stranger when you DM privately.
6. Think of thought leadership as part of your content marketing efforts
As with other content efforts, thought leadership doesn’t exist in a vacuum. It thrives when woven into a cohesive content marketing strategy. By aligning individual authority with your brand, you amplify the credibility of both.
Think of it as top-of-the-funnel content to:
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Build awareness about your brand
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Highlight the problems you solve
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Demonstrate expertise by platforming experts within the company who deliver solutions
Consider the user journey. An individual enters at the top through a social media post, podcast, or blog post. Intrigued, they want to learn more about you and either search your name on Google or social media. If they like what they see, they might visit your website, and if the information fits their needs, they move from passive readers to active prospects in your sales pipeline.
MARKETING
How to Increase Survey Completion Rate With 5 Top Tips

Collecting high-quality data is crucial to making strategic observations about your customers. Researchers have to consider the best ways to design their surveys and then how to increase survey completion, because it makes the data more reliable.
I’m going to explain how survey completion plays into the reliability of data. Then, we’ll get into how to calculate your survey completion rate versus the number of questions you ask. Finally, I’ll offer some tips to help you increase survey completion rates.
My goal is to make your data-driven decisions more accurate and effective. And just for fun, I’ll use cats in the examples because mine won’t stop walking across my keyboard.
Why Measure Survey Completion
Let’s set the scene: We’re inside a laboratory with a group of cat researchers. They’re wearing little white coats and goggles — and they desperately want to know what other cats think of various fish.
They’ve written up a 10-question survey and invited 100 cats from all socioeconomic rungs — rough and hungry alley cats all the way up to the ones that thrice daily enjoy their Fancy Feast from a crystal dish.
Now, survey completion rates are measured with two metrics: response rate and completion rate. Combining those metrics determines what percentage, out of all 100 cats, finished the entire survey. If all 100 give their full report on how delicious fish is, you’d achieve 100% survey completion and know that your information is as accurate as possible.
But the truth is, nobody achieves 100% survey completion, not even golden retrievers.
With this in mind, here’s how it plays out:
- Let’s say 10 cats never show up for the survey because they were sleeping.
- Of the 90 cats that started the survey, only 25 got through a few questions. Then, they wandered off to knock over drinks.
- Thus, 90 cats gave some level of response, and 65 completed the survey (90 – 25 = 65).
- Unfortunately, those 25 cats who only partially completed the survey had important opinions — they like salmon way more than any other fish.
The cat researchers achieved 72% survey completion (65 divided by 90), but their survey will not reflect the 25% of cats — a full quarter! — that vastly prefer salmon. (The other 65 cats had no statistically significant preference, by the way. They just wanted to eat whatever fish they saw.)
Now, the Kitty Committee reviews the research and decides, well, if they like any old fish they see, then offer the least expensive ones so they get the highest profit margin.
CatCorp, their competitors, ran the same survey; however, they offered all 100 participants their own glass of water to knock over — with a fish inside, even!
Only 10 of their 100 cats started, but did not finish the survey. And the same 10 lazy cats from the other survey didn’t show up to this one, either.
So, there were 90 respondents and 80 completed surveys. CatCorp achieved an 88% completion rate (80 divided by 90), which recorded that most cats don’t care, but some really want salmon. CatCorp made salmon available and enjoyed higher profits than the Kitty Committee.
So you see, the higher your survey completion rates, the more reliable your data is. From there, you can make solid, data-driven decisions that are more accurate and effective. That’s the goal.
We measure the completion rates to be able to say, “Here’s how sure we can feel that this information is accurate.”
And if there’s a Maine Coon tycoon looking to invest, will they be more likely to do business with a cat food company whose decision-making metrics are 72% accurate or 88%? I suppose it could depend on who’s serving salmon.
What is survey completion rate?
Survey completion rate refers to the number of completed surveys divided by the number of total survey respondents. The result is then multiplied by 100 to get a percentage. Survey respondents include those who completed the survey, and those who started the survey but didn’t complete it.
While math was not my strongest subject in school, I had the great opportunity to take several college-level research and statistics classes, and the software we used did the math for us. That’s why I used 100 cats — to keep the math easy so we could focus on the importance of building reliable data.
Now, we’re going to talk equations and use more realistic numbers. Here’s the formula:
So, we need to take the number of completed surveys and divide that by the number of people who responded to at least one of your survey questions. Even just one question answered qualifies them as a respondent (versus nonrespondent, i.e., the 10 lazy cats who never show up).
Now, you’re running an email survey for, let’s say, Patton Avenue Pet Company. We’ll guess that the email list has 5,000 unique addresses to contact. You send out your survey to all of them.
Your analytics data reports that 3,000 people responded to one or more of your survey questions. Then, 1,200 of those respondents actually completed the entire survey.
3,000/5000 = 0.6 = 60% — that’s your pool of survey respondents who answered at least one question. That sounds pretty good! But some of them didn’t finish the survey. You need to know the percentage of people who completed the entire survey. So here we go:
Completion rate equals the # of completed surveys divided by the # of survey respondents.
Completion rate = (1,200/3,000) = 0.40 = 40%
Voila, 40% of your respondents did the entire survey.
Response Rate vs. Completion Rate
Okay, so we know why the completion rate matters and how we find the right number. But did you also hear the term response rate? They are completely different figures based on separate equations, and I’ll show them side by side to highlight the differences.
- Completion Rate = # of Completed Surveys divided by # of Respondents
- Response Rate = # of Respondents divided by Total # of surveys sent out
Here are examples using the same numbers from above:
Completion Rate = (1200/3,000) = 0.40 = 40%
Response Rate = (3,000/5000) = 0.60 = 60%
So, they are different figures that describe different things:
- Completion rate: The percentage of your respondents that completed the entire survey. As a result, it indicates how sure we are that the information we have is accurate.
- Response rate: The percentage of people who responded in any way to our survey questions.
The follow-up question is: How can we make this number as high as possible in order to be closer to a truer and more complete data set from the population we surveyed?
There’s more to learn about response rates and how to bump them up as high as you can, but we’re going to keep trucking with completion rates!
What’s a good survey completion rate?
That is a heavily loaded question. People in our industry have to say, “It depends,” far more than anybody wants to hear it, but it depends. Sorry about that.
There are lots of factors at play, such as what kind of survey you’re doing, what industry you’re doing it in, if it’s an internal or external survey, the population or sample size, the confidence level you’d like to hit, the margin of error you’re willing to accept, etc.
But you can’t really get a high completion rate unless you increase response rates first.
So instead of focusing on what’s a good completion rate, I think it’s more important to understand what makes a good response rate. Aim high enough, and survey completions should follow.
I checked in with the Qualtrics community and found this discussion about survey response rates:
“Just wondering what are the average response rates we see for online B2B CX surveys? […]
Current response rates: 6%–8%… We are looking at boosting the response rates but would first like to understand what is the average.”
The best answer came from a government service provider that works with businesses. The poster notes that their service is free to use, so they get very high response rates.
“I would say around 30–40% response rates to transactional surveys,” they write. “Our annual pulse survey usually sits closer to 12%. I think the type of survey and how long it has been since you rendered services is a huge factor.”
Since this conversation, “Delighted” (the Qualtrics blog) reported some fresher data:
The takeaway here is that response rates vary widely depending on the channel you use to reach respondents. On the upper end, the Qualtrics blog reports that customers had 85% response rates for employee email NPS surveys and 33% for email NPS surveys.
A good response rate, the blog writes, “ranges between 5% and 30%. An excellent response rate is 50% or higher.”
This echoes reports from Customer Thermometer, which marks a response rate of 50% or higher as excellent. Response rates between 5%-30% are much more typical, the report notes. High response rates are driven by a strong motivation to complete the survey or a personal relationship between the brand and the customer.
If your business does little person-to-person contact, you’re out of luck. Customer Thermometer says you should expect responses on the lower end of the scale. The same goes for surveys distributed from unknown senders, which typically yield the lowest level of responses.
According to SurveyMonkey, surveys where the sender has no prior relationship have response rates of 20% to 30% on the high end.
Whatever numbers you do get, keep making those efforts to bring response rates up. That way, you have a better chance of increasing your survey completion rate. How, you ask?
Tips to Increase Survey Completion
If you want to boost survey completions among your customers, try the following tips.
1. Keep your survey brief.
We shouldn’t cram lots of questions into one survey, even if it’s tempting. Sure, it’d be nice to have more data points, but random people will probably not hunker down for 100 questions when we catch them during their half-hour lunch break.
Keep it short. Pare it down in any way you can.
Survey completion rate versus number of questions is a correlative relationship — the more questions you ask, the fewer people will answer them all. If you have the budget to pay the respondents, it’s a different story — to a degree.
“If you’re paying for survey responses, you’re more likely to get completions of a decently-sized survey. You’ll just want to avoid survey lengths that might tire, confuse, or frustrate the user. You’ll want to aim for quality over quantity,” says Pamela Bump, Head of Content Growth at HubSpot.
2. Give your customers an incentive.
For instance, if they’re cats, you could give them a glass of water with a fish inside.
Offer incentives that make sense for your target audience. If they feel like they are being rewarded for giving their time, they will have more motivation to complete the survey.
This can even accomplish two things at once — if you offer promo codes, discounts on products, or free shipping, it encourages them to shop with you again.
3. Keep it smooth and easy.
Keep your survey easy to read. Simplifying your questions has at least two benefits: People will understand the question better and give you the information you need, and people won’t get confused or frustrated and just leave the survey.
4. Know your customers and how to meet them where they are.
Here’s an anecdote about understanding your customers and learning how best to meet them where they are.
Early on in her role, Pamela Bump, HubSpot’s Head of Content Growth, conducted a survey of HubSpot Blog readers to learn more about their expertise levels, interests, challenges, and opportunities. Once published, she shared the survey with the blog’s email subscribers and a top reader list she had developed, aiming to receive 150+ responses.
“When the 20-question survey was getting a low response rate, I realized that blog readers were on the blog to read — not to give feedback. I removed questions that wouldn’t serve actionable insights. When I reshared a shorter, 10-question survey, it passed 200 responses in one week,” Bump shares.
Tip 5. Gamify your survey.
Make it fun! Brands have started turning surveys into eye candy with entertaining interfaces so they’re enjoyable to interact with.
Your respondents could unlock micro incentives as they answer more questions. You can word your questions in a fun and exciting way so it feels more like a BuzzFeed quiz. Someone saw the opportunity to make surveys into entertainment, and your imagination — well, and your budget — is the limit!
Your Turn to Boost Survey Completion Rates
Now, it’s time to start surveying. Remember to keep your user at the heart of the experience. Value your respondents’ time, and they’re more likely to give you compelling information. Creating short, fun-to-take surveys can also boost your completion rates.
Editor’s note: This post was originally published in December 2010 and has been updated for comprehensiveness.
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