제품

SurveyMonkey는 모든 사용 사례와 요구를 다루도록 구축되었습니다. 제품을 둘러보고 SurveyMonkey로 어떤 효과를 누릴 수 있는지 알아보세요.

온라인 설문조사의 글로벌 리더로부터 데이터 기반 인사이트를 얻으세요.

하나의 강력한 플랫폼에 있는 핵심 기능과 고급 도구를 살펴보세요.

정보 수집과 결제를 위한 온라인 양식을 만들고 맞춤화하세요.

100개 이상의 앱 및 플러그인과 연동하여 업무 효율성 향상

시장 조사에 필요한 모든 것을 갖춘 솔루션

빌트인 AI을 통한 더 나은 설문조사 작성과 빠른 인사이트 발견

템플릿

비즈니스에 대한 고객 만족도와 충성도를 측정

고객을 만족시켜 지지자로 만드는 것이 무엇인지 파악

실행 가능한 인사이트를 얻어 사용자 경험을 개선

잠재 고객, 참석자 등으로부터 연락처 정보를 수집

다음 이벤트를 위해 쉽게 RSVP를 받고 확인

다음 이벤트의 개선을 위해 참석자가 무엇을 원하는지 파악

참여도를 높이고 더 나은 결과를 이끌어낼 인사이트를 발견

참석자들의 피드백을 받아 회의 운영 방법을 개선

동료 피드백을 통한 직원 성과 향상

더 나은 코스를 만들고 교수법을 개선

학생들이 코스 자료 및 프레젠테이션을 어떻게 평가하는지 파악

신제품 아이디어에 대한 고객의 생각을 파악

리소스

설문조사 및 설문조사 데이터 사용에 대한 모범 사례

설문조사, 비즈니스를 위한 팁 등에 관한 블로그

SurveyMonkey 이용에 대한 튜토리얼 및 사용법 가이드

최고의 브랜드들이 SurveyMonkey로 성장을 견인하는 방법

영업팀에 문의로그인
영업팀에 문의로그인

The smartest approach to A/B testing your advertisements

Cut costs by performing split tests on your ad concepts before you launch your campaign

It’s hard to believe that A/B testing didn’t really exist before the turn of the 21st century. People would make their best guess and launch ads, websites, and other products without testing actual designs. Now you can use surveys and other A/B testing methodologies to create the most effective advertising before you start spending your precious media budget.

A/B testing – also know as split testing – is a way to test two ideas head-to-head to see what yields the best result. It’s a way to put some analytical rigor behind testing hypotheses to determine which ad is the “winner” for your business.

In a nutshell, split testing allows you to show two identical audiences different versions of something at the same time. Imagine that you’re running a print ad and you don’t know whether it would be better to show an image of your product by itself or an image of someone using the product. You can use a split test to determine which version of the ad could driver better results.

Don't guess. Know exactly which concept will win with SurveyMonkey Audience.

Let’s continue to use the print ad example. Using a survey to A/B test will enable you to weed out versions of the ad that don’t deliver against your KPIs (key performance indicators). As you create different versions of the ad to test, you’ll want to think about the following:

  • Define objectives: What are you trying to achieve with your ad? Once you know what you’re trying to do – drive awareness, trial, sales, etc – you’ll be able to layout your test plan.
  • State your hypotheses: Now that you have goals, what do you THINK will perform best? And more importantly, will you be able to take action based on the results?
  • Create a list of what you want to test: What do you want to test through a survey? Potential things to test include how the ad looks (color, photos, graphics), what the ad says (headlines, ad copy, call to action) and the overall design (ad concept, layout, number of visual elements).

Want to learn how to test out a few concepts before you go live? There are a few important things to do to ensure accurate A/B test results. (Also, before you launch your survey, think about whether you should be running a survey or a focus group.) You can really win at A/B testing when you:

  • Test one variable at a time. Let’s say version A has an image of your product and version B has an image of someone using your product in context. When you are split testing an ad, make sure you are only measuring the impact of one change at a time, in this case the main image. If version A has a different image AND a different headline than version B, you won’t know what if the headline or the image is causing the result.
  • Show the ad to similar audiences. Show version A and version B to the same type of people to get accurate results. If you show version A to existing customers and version B to new customers, you may get skewed results. Ideally you would take your target market and split it evenly to view and rate the ad.
  • Be patient. Advertising media costs can be a large percentage of your marketing budget. Take the time to test all of the variables you believe are important before you launch your ad.

Let’s continue to think about A/B testing the main image in your ad. Here are some of the types of questions you can ask your split audiences about the ad.

  • How appealing is this ad?
  • How likely are you to take action because of this ad (e.g., learn more, visit your business)?
  • How likely are you to buy this product?
  • How appealing does the brand make this product?
  • How is easy is it to understand the ad?

Remember, you can be showing different visual designs, copy, and layouts, as long as you test one thing at a time.

If you’re running online advertising, you can also do A/B testing in the wild with live ads. The great thing about a survey, versus live A/B testing, is you can also ask WHY someone chose an ad. You can also get ideas through free response feedback you didn’t originally consider.

Ready to get started? Once you start testing and seeing the impact effective advertising has on your business, you’ll create an insatiable appetite to learn more and continually make improvements for your customers.

Deux employées marketing, l'une examinant un article sur la stratégie de marque et l'autre tenant des documents sur lesquels sont imprimés des graphiques

브랜드 마케팅 관리자들은 이 도구 키트를 사용하여 타겟팅하는 대상 그룹을 이해하고, 브랜드를 키워나가며, ROI를 증명할 수 있습니다.

Un homme et une femme consultant un article sur leur ordinateur portable et prenant des notes sur des post-it

생활소비재, 여행 및 접객을 포함한 소비자 제품 및 서비스 산업에서 SurveyMonkey 인사이트로 다음 단계를 설계합니다.

Homme souriant portant des lunettes et travaillant sur un ordinateur portable

소매업계가 진화하는 시장 동향을 파악하고, 고객에게 만족스러운 제품을 개발하며, 사랑받는 브랜드를 구축하는 데 SurveyMonkey가 어떻게 도움이 되는지 알아보세요.

Femme lisant des informations sur son ordinateur portable

전문 서비스 회사나 단체들이 고객 및 시장 인사이트를 확보하기 위해 어떻게 SurveyMonkey를 사용하는지 알아보세요.

Don't guess. Know exactly which concept will win with SurveyMonkey Audience.