產品

SurveyMonkey 能滿足各種使用案例和需求。歡迎探索我們的產品,瞭解 SurveyMonkey 能為您提供什麼協助。

從全球首屈一指的線上調查問卷中,獲取以資料為導向的深入分析。

可與超過 100 款應用程式和外掛程式整合,讓您事半功倍。

建立並自訂線上表單,以收集資訊和付款方式。

利用內建的 AI 打造更優質的調查問卷並快速獲得獨到見解。

依實際需求量身打造解決方案,滿足您所有的市場研究需求。

範本

測量客戶對貴公司的滿意度和忠誠度。

瞭解如何讓客戶滿意,使他們成為您忠實的擁護者。

取得可化為實際行動的深入解析,以改善使用者的體驗。

向潛在客戶、受邀人等對象收集聯絡資訊。

輕鬆收集並追蹤活動邀請回函。

瞭解參加者的需要,使下一場活動更成功。

發掘能提升員工參與度並改善績效的深入解析。

瞭解與會者的想法和意見,把下一場會議辦得更好。

運用同儕意見回饋來協助員工改善績效。

打造更好的課程並改善教學方法。

瞭解學生對課程資料和教學狀況的評價。

瞭解客戶對您的新產品構想有何看法。

相關資源

使用調查問卷和調查資料的最佳實務

有關問卷調查、給企業的訣竅及其他主題的內容,都在我們的部落格。

SurveyMonkey 的使用教學與指南。

頂尖品牌如何透過 SurveyMonkey 推動成長。

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.

品牌行銷經理

品牌行銷經理可利用此工具組來瞭解目標受眾、推動品牌成長並增進投資報酬率。

查看 SurveyMonkey 消費性產品與服務解決方案

消費性產品與服務產業 (包括 CPG、旅遊及餐旅) 都依賴 SurveyMonkey 的深入解析來決定未來的發展。

探索 SurveyMonkey 零售解決方案

瞭解 SurveyMonkey 如何幫助零售公司應對千變萬化的市場趨勢、開發讓客戶滿意的產品,並創造能吸引廣大粉絲的品牌。

查看 SurveyMonkey 專業服務公司解決方案

查看專業服務組織如何使用 SurveyMonkey 獲得客戶和市場深入解析。

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