Why you should use Ecommerce Analytics Test?

The E -handelsanalysetest 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: Forståelse af e -handelsanalyseprincipper Evne til at analysere og fortolke data fra e -handelsanalyseværktøjer Kendskab til Google Analytics og dens funktioner Færdighed i digitale markedsføringsstrategier og koncepter Ekspertise inden for dataanalyseteknikker til e -handelsanalyse Forståelse af nøgleprestationsindikatorer (KPI'er) i e -handelsanalyse Fortrolighed med A/B -testmetodologier til e -handelsanalyse Evne til at generere handlingsmæssige indsigter fra e -handelsanalysedata Erfaring med at gennemføre konverteringshastighedsoptimering (CRO) analyse Kendskab til avancerede e -handelsanalyseværktøjer og platforme

Ecommerce Analytics Test

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

E -handelsanalyse Google Analytics Digital marketing Dataanalyse

About the test:

E -handelsanalysetest evaluerer en kandidats viden og færdigheder inden for e -handelsanalyse, dataanalyse og forretningsinformation. Den vurderer en kandidats evne til at analysere e -handelsdata og optimere markedsføringsstrategier. Testen inkluderer scenariebaserede spørgsmål med flere valg.

Covered skills:

E -handelsanalyse
Digital marketing

Google Analytics
Dataanalyse

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9 reasons why

Adaface Ecommerce Analytics Assessment Test is the most accurate way to shortlist E -handelsanalytikers

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:

Evne til at analysere e -handelsdata og udlede indsigt
Kendskab til Google Analytics og dens applikationer inden for e -handel
Forståelse af digitale markedsføringsstrategier og dens indflydelse på e -handel
Færdighed i dataanalyseteknikker og værktøjer
Evne til at måle og optimere nøgleprestationsindikatorer (KPI'er) for e -handel
Erfaring med implementering og sporing af e -handelsmål og tragt
Fortrolighed med A/B -testmetodologier til e -handel
Stærke problemløsningsevner med evnen til at fejlfinde e-handelsanalyseproblemer

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

Dette er kun en lille prøve fra vores bibliotek med 10.000+ spørgsmål. De faktiske spørgsmål om dette E -handelsanalysetest vil være ikke-gåbart.

🧐 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

Med Adaface var vi i stand til at optimere vores indledende screeningsproces med op mod 75 %, hvilket frigjorde kostbar tid for både ansættelsesledere og vores talentanskaffelsesteam!

Brandon Lee, Leder af mennesker, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment E -handelsanalysetest 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 E -handelsanalysetest 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

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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 E -handelsanalysetest 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:

Forståelse af e -handelsanalyseprincipper
Evne til at analysere og fortolke data fra e -handelsanalyseværktøjer
Kendskab til Google Analytics og dens funktioner
Færdighed i digitale markedsføringsstrategier og koncepter
Ekspertise inden for dataanalyseteknikker til e -handelsanalyse
Forståelse af nøgleprestationsindikatorer (KPI'er) i e -handelsanalyse
Fortrolighed med A/B -testmetodologier til e -handelsanalyse
Evne til at generere handlingsmæssige indsigter fra e -handelsanalysedata
Erfaring med at gennemføre konverteringshastighedsoptimering (CRO) analyse
Kendskab til avancerede e -handelsanalyseværktøjer og platforme

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 er et webanalyseværktøj leveret af af dem af Google, der giver brugerne mulighed for at spore webstedstrafik og analysere brugeradfærd. Det giver værdifuld indsigt i webstedsydelse, publikums demografi, brugeropkøb og andre målinger, hvilket hjælper virksomheder med at tage datadrevne beslutninger om at forbedre deres online tilstedeværelse.
digital marketing
Digital marketing involverer involverer Brug af digitale kanaler såsom søgemaskiner, sociale medier, e -mail og websteder til at markedsføre produkter eller tjenester. Det omfatter forskellige strategier som Search Engine Optimization (SEO), indholdsmarkedsføring, markedsføring af sociale medier og betalt reklame for at nå og engagere målgrupper, generere kundeemner og drive konverteringer.
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 E -handelsanalysetest to be based on.
E -handelspræstationsmetrics
Optimering af konverteringsfrekvens
Kundesegmentering
Online reklamekampagner
Implementering af e -handel
Produktkategorianalyse
Brugeradfærdsanalyse
CART AFGANGNING ANALYSE
Optimering af destinationsside
Mobile e -handel tendenser
Markedsføring af sociale medier til e -handel
Krydsælgende og opsalgsstrategier
Rapportering af e -handel Analytics
Google Analytics -mål og tragt
E -handelsdatavisualisering
Rammer for præstationsmåling
E -handel SEO -teknikker
Google Tag Manager til e -handel
Customer Lifetime Value Analysis
E -mail -marketinganalyse til e -handel
Kunder Journey Mapping
Kundeopbevaringsstrategier
Rensning af e -handel
E -handelsdatamodellering
Attribution modellering i e -handel
Konkurrentanalyse til e -handel
E -handelsdataopbevaring
Personalisering i e -handel
Forudsigelig analyse for e -handel
RFM -analyse i e -handel
Segmenteringsanalyse i e -handel
Webstedets brugervenlighedsanalyse
Tragtoptimering
Salgsmetriksanalyse
E -handelsdata regeringsførelse
Visualiseringsværktøjer til e -handel
Kundetilfredshedsanalyse
Effektiv søgeordsundersøgelse til e -handel
E -handel markedsundersøgelse
Kundeanmeldelser Analyse
E -handel datasikkerhed
E -handel databeskyttelse
E -mail -kampagneanalyse til e -handel
Ek -handelsprisoptimering
Brugeroplevelsesanalyse
Sæsontrendsanalyse i e -handel
Data-drevet beslutningstagning i e-handel
Optimering af websteder med belastningshastighed
Kunde feedbackanalyse
E -handelspræstation benchmarking
Multikanalattribution i e -handel
Webanalyse til e -handel
E -handelsdataintegration
CRM Analytics til e -handel
Detektion af e -handel -svig

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What roles can I use the Ecommerce Analytics Test for?

E -handelsanalytiker
Marketinganalytiker
Dataanalytiker
Business Intelligence Analyst
Dataforsker
Machine Learning Engineer
Database Administrator

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

Dybdegående forståelse af Google Analytics-sporing og tagging
Ekspertise inden for segmentering og målretning af publikum inden for e -handelsanalyse
Evne til at oprette og administrere e -handelsanalyse Dashboards
Færdighed i udførelse af tragtanalyse til e -handelsanalyse
Forståelse af kortlægning af kunderejser i e -handelsanalyse
Kendskab til attributionsmodeller og multikanalsanalyse
Erfaring med at integrere e -handelsanalysedata med andre systemer
Evne til at udføre kohortanalyse i e -handelsanalyse
Ekspertise i forudsigelig modellering og prognoser for e -handelsanalyse
Forståelse af datavisualiseringsteknikker til e -handelsanalyse

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Ansættelseslederne mente, at de gennem de tekniske spørgsmål, som de stillede under panelinterviewene, var i stand til at fortælle, hvilke kandidater der havde bedre score og differentieret med dem, der ikke scorede så godt. De er meget tilfreds med kvaliteten af de kandidater, der er nomineret med Adaface-screeningen.

85%

Reduktion i screeningstid

Se den fulde casestudie

Ecommerce Analytics Hiring Test Ofte stillede spørgsmål

Kan jeg kombinere flere færdigheder i en brugerdefineret vurdering?

Ja absolut. Brugerdefinerede vurderinger er oprettet baseret på din jobbeskrivelse og vil omfatte spørgsmål om alle must-have-færdigheder, du angiver.

Har du nogen anti-cheating eller proctoring-funktioner på plads?

Vi har følgende anti-cheating-funktioner på plads:

Ikke-gåbare spørgsmål
IP Proctoring
Webproctoring
Webcam Proctoring
Detektion af plagiering
Sikker browser

Læs mere om Proctoring Features.

Hvordan fortolker jeg testresultater?

Den primære ting at huske på er, at en vurdering er et elimineringsværktøj, ikke et udvælgelsesværktøj. En færdighedsvurdering er optimeret for at hjælpe dig med at eliminere kandidater, der ikke er teknisk kvalificerede til rollen, den er ikke optimeret til at hjælpe dig med at finde den bedste kandidat til rollen. Så den ideelle måde at bruge en vurdering på er at beslutte en tærskelværdi (typisk 55%, vi hjælper dig med benchmark) og inviterer alle kandidater, der scorer over tærsklen for de næste interviewrunder.

Hvilken oplevelsesniveau kan jeg bruge denne test til?

Hver Adaface -vurdering tilpasses til din jobbeskrivelse/ ideel kandidatperson (vores emneeksperter vælger de rigtige spørgsmål til din vurdering fra vores bibliotek på 10000+ spørgsmål). Denne vurdering kan tilpasses til ethvert erfaringsniveau.

Får hver kandidat de samme spørgsmål?

Ja, det gør det meget lettere for dig at sammenligne kandidater. Valgmuligheder for MCQ -spørgsmål og rækkefølgen af spørgsmål randomiseres. Vi har anti-cheating/proctoring funktioner på plads. I vores virksomhedsplan har vi også muligheden for at oprette flere versioner af den samme vurdering med spørgsmål om lignende vanskelighedsniveauer.