Ecommerce Analytics Test

Q: What topics are covered in the Ecommerce Analytics Test?

电子商务分析 谷歌分析 数字营销 数据分析

About the test:

电子商务分析测试评估了候选人在电子商务分析，数据分析和商业智能方面的知识和技能。它评估了候选人分析电子商务数据和优化营销策略的能力。该测试包括基于方案的多项选择问题。

Covered skills:

电子商务分析
数字营销

谷歌分析
数据分析

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9 reasons why

Adaface Ecommerce Analytics Assessment Test is the most accurate way to shortlist 电子商务分析师s

Reason #1

Tests for on-the-job skills

The Ecommerce Analytics Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

能够分析电子商务数据并获得见解的能力
了解Google Analytics（分析）及其在电子商务中的应用
了解数字营销策略及其对电子商务的影响
熟练数据分析技术和工具
能够测量和优化电子商务关键绩效指标（KPI）
实施和跟踪电子商务目标和渠道的经验
熟悉电子商务的A/B测试方法
强大的解决问题的技能具有解决电子商务分析问题的能力

Reason #2

No trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

View sample questions

The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface

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Reason #3

Non-googleable questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

这些只是我们库中有10,000多个问题的一个小样本。关于此的实际问题电子商务分析测试将是不可行的.

🧐 Question
Medium Hiring Developer Skewed Data Graph	Try practice test
Two companies A and B hired developers from the year 2001 to 2005. The given bar graph shows the hiring details. Now select the statements that are true based on the given details. A: The data given for Company A is skewed to the left. B: The data given for Company B is skewed to the right. C: The data given for Company A is skewed to the right. D: For Company B, mean and mode are equal. E: For Company B, mean is equal to median but less than mode. F: For Company A, median is less than mode but greater than mean.
Medium Negative correlation	Try practice test
Saffi, one of the popular schools in San Francisco did a school wide study of the students in middle school. The study found that there is a negative correlation between the time spent on Facebook per day by students and their academic achievement. How can we understand the results of this study? A: An increase in time spent on Facebook per day causes a drop in the academic achievement of students at the middle school level. B: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at Saffi. C: An increase in the time spent on Facebook per day causes a drop in the academic achievement of students at Saffi. D: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at the middle school level.

	🧐 Question	🔧 Skill
	Medium Hiring Developer Skewed Data Graph	3 mins Data Analysis	Try practice test
Two companies A and B hired developers from the year 2001 to 2005. The given bar graph shows the hiring details. Now select the statements that are true based on the given details. A: The data given for Company A is skewed to the left. B: The data given for Company B is skewed to the right. C: The data given for Company A is skewed to the right. D: For Company B, mean and mode are equal. E: For Company B, mean is equal to median but less than mode. F: For Company A, median is less than mode but greater than mean.
	Medium Negative correlation	2 mins Data Analysis	Try practice test
Saffi, one of the popular schools in San Francisco did a school wide study of the students in middle school. The study found that there is a negative correlation between the time spent on Facebook per day by students and their academic achievement. How can we understand the results of this study? A: An increase in time spent on Facebook per day causes a drop in the academic achievement of students at the middle school level. B: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at Saffi. C: An increase in the time spent on Facebook per day causes a drop in the academic achievement of students at Saffi. D: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at the middle school level.

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	Hiring Developer Skewed Data Graph	Data Analysis	Medium	3 mins	Try practice test
Two companies A and B hired developers from the year 2001 to 2005. The given bar graph shows the hiring details. Now select the statements that are true based on the given details. A: The data given for Company A is skewed to the left. B: The data given for Company B is skewed to the right. C: The data given for Company A is skewed to the right. D: For Company B, mean and mode are equal. E: For Company B, mean is equal to median but less than mode. F: For Company A, median is less than mode but greater than mean.
	Negative correlation	Data Analysis	Medium	2 mins	Try practice test
Saffi, one of the popular schools in San Francisco did a school wide study of the students in middle school. The study found that there is a negative correlation between the time spent on Facebook per day by students and their academic achievement. How can we understand the results of this study? A: An increase in time spent on Facebook per day causes a drop in the academic achievement of students at the middle school level. B: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at Saffi. C: An increase in the time spent on Facebook per day causes a drop in the academic achievement of students at Saffi. D: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at the middle school level.

Reason #4

1200+ customers in 75 countries

借助 Adaface，我们能够将初步筛选流程优化达 75% 以上，为招聘经理和我们的人才招聘团队节省了宝贵的时间！

Brandon Lee, 人事主管, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment 电子商务分析测试 in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Science behind Adaface tests

Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the 电子商务分析测试 from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

Reason #7

Detailed scorecards & benchmarks

查看样本记分卡

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Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

Reason #9

Advanced Proctoring

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About the Ecommerce Analytics Online Test

Why you should use Pre-employment Ecommerce Analytics Test?

The 电子商务分析测试 makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

对电子商务分析原则的理解
能够分析和解释电子商务分析工具的数据
了解Google Analytics（分析）及其功能
熟练数字营销策略和概念
电子商务数据分析技术专业知识
了解电子商务分析中关键绩效指标（KPI）
熟悉电子商务分析的A/B测试方法
能够从电子商务分析数据中产生可行的见解
进行转化率优化（CRO）分析的经验
高级电子商务分析工具和平台的知识

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the Ecommerce Analytics Test?

Google Analytics（Google Analytics）
Google Analytics（Google Analytics）是由Web分析工具提供的。 Google允许用户跟踪网站流量并分析用户行为。它为网站绩效，受众人口统计数据，用户获取和其他指标提供了宝贵的见解，可帮助企业做出以数据为导向的决策来改善其在线形象。
数字营销
数字营销涉及使用搜索引擎，社交媒体，电子邮件和网站等数字渠道来推广产品或服务。它涵盖了各种策略，例如搜索引擎优化（SEO），内容营销，社交媒体营销和付费广告，以吸引和吸引目标受众，产生潜在客户并推动转换。
Full list of covered topics
The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for 电子商务分析测试 to be based on.
电子商务绩效指标
转化率优化
客户细分
在线广告活动
电子商务跟踪实施
产品类别分析
用户行为分析
购物车放弃分析
着陆页优化
移动电子商务趋势
电子商务社交媒体营销
交叉销售和销售策略
电子商务分析报告
Google Analytics（分析）目标和渠道
电子商务数据可视化
性能测量框架
电子商务SEO技术
电子商务的Google标签经理
客户寿命价值分析
电子商务的电子邮件营销分析
客户旅程映射
客户保留策略
电子商务数据清理
电子商务数据建模
电子商务中的归因建模
电子商务的竞争者分析
电子商务数据仓库
电子商务的个性化
电子商务的预测分析
电子商务中的RFM分析
电子商务的细分分析
网站可用性分析
漏斗优化
销售指标分析
电子商务数据治理
电子商务数据可视化工具
客户满意度分析
有效的电子商务关键词研究
电子商务市场研究
客户评论分析
电子商务数据安全
电子商务数据隐私
电子商务的电子邮件活动分析
电子商务定价优化
用户经验分析
季节性趋势分析电子商务
数据驱动的电子商务决策
网站负载速度优化
客户反馈分析
电子商务性能基准测试
电子商务中的多通道归因
电子商务的网络分析
电子商务数据集成
CRM分析电子商务
电子商务欺诈检测

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What roles can I use the Ecommerce Analytics Test for?

电子商务分析师
营销分析师
数据分析师
商业智能分析师
数据科学家
机器学习工程师
数据库管理员

How is the Ecommerce Analytics Test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like