Why you should use Marketing Analysis Test?

The Marketinganalyse -Test 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: Fähigkeit zur Analyse von Marketingdaten Kenntnisse in Datenanalysetechniken Verständnis für digitale Marketingstrategien Kenntnisse des Google Ads -Kampagnenmanagements Vertrautheit mit PPC -Werbeplattformen Marketing eigentlich und das Verständnis des Kundenverhaltens Fähigkeit zur SEO -Bewertung und -Optimierung durchzuführen Kenntnisse in Google Analytics für die Marketinganalyse Verständnis der Inhaltsstrategie und -schöpfung Kopierungsfähigkeiten für eine effektive Marketingkommunikation

Marketing Analysis Test

Q: What topics are covered in the Marketing Analysis Test?

Marketinganalyse Digitales Marketing Google Anzeigen PPC -Werbung Marketing eigentlich SEO -Bewertung Google Analytics Inhaltsstrategie Werbetexten Datenanalyse

About the test:

Der Marketing -Analyse -Test bewertet das Wissen eines Kandidaten in Marketinganalysen, digitalem Marketing, Google -Anzeigen, PPC -Werbung, Marketing -Eignung, SEO -Bewertung, Google Analytics, Inhaltsstrategie, Texterwechsel und Datenanalyse. Es bewertet das Verständnis des Kandidaten für Marketingprinzipien und ihre Fähigkeit, Markttrends und Verbraucherverhalten zu analysieren.

Covered skills:

Marketinganalyse
Google Anzeigen
Marketing eigentlich
Google Analytics
Werbetexten

Digitales Marketing
PPC -Werbung
SEO -Bewertung
Inhaltsstrategie
Datenanalyse

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9 reasons why

Adaface Marketing Analysis Assessment Test is the most accurate way to shortlist Marktforschers

Reason #1

Tests for on-the-job skills

The Marketing Analysis 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:

Fähigkeit, Marketingdaten zu analysieren und umsetzbare Erkenntnisse zu gewinnen
Kenntnisse in der Datenanalysetechniken und -Tools
Kenntnisse über digitale Marketingstrategien und Best Practices
Erfahrung in Google -Anzeigen und PPC -Werbung
Verständnis der Marketing -Eignung und Verbraucherverhalten
Vertrautheit mit der SEO -Bewertung und -Optimierung
Kompetenz bei der Verwendung von Google Analytics für die Marketinganalyse
Fähigkeit, effektive Inhaltsstrategien zu entwickeln
Starke Kopierungsfähigkeiten zur Erstellung ansprechender Marketingmaterialien

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

Dies sind nur ein kleines Beispiel aus unserer Bibliothek mit mehr als 10.000 Fragen. Die tatsächlichen Fragen dazu Marketinganalyse -Test wird nichtgänger sein.

🧐 Question
Medium Digital Channels for Subscriptions Digital Marketing Conversion Rate Optimization Data Analysis	Try practice test
You are tasked with evaluating the performance of a digital marketing campaign designed to promote a new financial planning app targeting young professionals. The campaign utilized a mix of digital channels with the primary objectives being to increase app downloads and convert users into premium subscribers. Following the campaign's first quarter, you've compiled the following performance data: - Total ad spend: $50,000 - Total impressions: 500,000 across all channels - Total clicks: 25,000 across all channels - Total app downloads: 5,000 - Total premium subscription sign-ups: 425 - The marketing is split into Email marketing, Social Media ads and Google AdWords. - The campaign utilized three digital channels: social media ads, Google AdWords, and email marketing. Of these Social media ads contributed to 2,500 downloads with 125 premium subscriptions. Google AdWords contributed to 1,500 downloads with 150 subscriptions. The rest of the downloads and subscriptions came from Email Marketing. Given this campaign performance data, which digital channel proved most effective for achieving the primary goal of converting users into premium subscribers and should be prioritized in future campaigns? A: Social media ads, due to their largest contribution to app downloads. B: Google AdWords, for its balanced performance in both generating downloads and converting subscriptions. C: Email marketing, because of its highest conversion rate to premium subscriptions, indicating better targeting and engagement. D: Google AdWords because of its highest conversion rate to premium subscriptions, indicating better targeting and engagement. E: Social Media ads because of its highest conversion rate to premium subscriptions, indicating better targeting and engagement.
Medium Email Marketing Campaign Analysis Conversion Rates A/B Testing	Try practice test
You are analyzing the results of an A/B testing campaign for a newly launched line of eco-friendly activewear. The goal was to determine which of two email marketing strategies resulted in higher engagement and sales. Strategy A focused on discount offers, while Strategy B emphasized the eco-friendly attributes of the clothing line. The campaign ran for one month, targeting a segmented list of 50,000 subscribers, split evenly between the two strategies. The following data was collected: - Strategy A (Discount Offers): - Emails sent: 25,000 - Open rate: 22% - Click-through rate (CTR): 5% - Conversion rate: 0.5% - Unsubscribe rate: 2% - Strategy B (Eco-Friendly Attributes): - Emails sent: 25,000 - Open rate: 18% - Click-through rate (CTR): 4% - Conversion rate: 1% - Unsubscribe rate: 1.5% Based on the data, which strategy should be prioritized for future email marketing campaigns to maximize sales and engagement, considering both effectiveness and audience retention? A: Strategy A should be prioritized due to its higher open and click-through rates, indicating better initial engagement. B: Strategy B should be prioritized because of its higher conversion rate, despite lower open and click-through rates, suggesting stronger sales impact. C: Strategy A should be optimized for a lower unsubscribe rate before it can be considered for future campaigns. D: Strategy B's lower unsubscribe rate indicates better audience retention and should be the focus, despite lower engagement metrics.
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 Digital Channels for Subscriptions Digital Marketing Conversion Rate Optimization Data Analysis	3 mins Marketing Analysis	Try practice test
You are tasked with evaluating the performance of a digital marketing campaign designed to promote a new financial planning app targeting young professionals. The campaign utilized a mix of digital channels with the primary objectives being to increase app downloads and convert users into premium subscribers. Following the campaign's first quarter, you've compiled the following performance data: - Total ad spend: $50,000 - Total impressions: 500,000 across all channels - Total clicks: 25,000 across all channels - Total app downloads: 5,000 - Total premium subscription sign-ups: 425 - The marketing is split into Email marketing, Social Media ads and Google AdWords. - The campaign utilized three digital channels: social media ads, Google AdWords, and email marketing. Of these Social media ads contributed to 2,500 downloads with 125 premium subscriptions. Google AdWords contributed to 1,500 downloads with 150 subscriptions. The rest of the downloads and subscriptions came from Email Marketing. Given this campaign performance data, which digital channel proved most effective for achieving the primary goal of converting users into premium subscribers and should be prioritized in future campaigns? A: Social media ads, due to their largest contribution to app downloads. B: Google AdWords, for its balanced performance in both generating downloads and converting subscriptions. C: Email marketing, because of its highest conversion rate to premium subscriptions, indicating better targeting and engagement. D: Google AdWords because of its highest conversion rate to premium subscriptions, indicating better targeting and engagement. E: Social Media ads because of its highest conversion rate to premium subscriptions, indicating better targeting and engagement.
	Medium Email Marketing Campaign Analysis Conversion Rates A/B Testing	2 mins Marketing Analysis	Try practice test
You are analyzing the results of an A/B testing campaign for a newly launched line of eco-friendly activewear. The goal was to determine which of two email marketing strategies resulted in higher engagement and sales. Strategy A focused on discount offers, while Strategy B emphasized the eco-friendly attributes of the clothing line. The campaign ran for one month, targeting a segmented list of 50,000 subscribers, split evenly between the two strategies. The following data was collected: - Strategy A (Discount Offers): - Emails sent: 25,000 - Open rate: 22% - Click-through rate (CTR): 5% - Conversion rate: 0.5% - Unsubscribe rate: 2% - Strategy B (Eco-Friendly Attributes): - Emails sent: 25,000 - Open rate: 18% - Click-through rate (CTR): 4% - Conversion rate: 1% - Unsubscribe rate: 1.5% Based on the data, which strategy should be prioritized for future email marketing campaigns to maximize sales and engagement, considering both effectiveness and audience retention? A: Strategy A should be prioritized due to its higher open and click-through rates, indicating better initial engagement. B: Strategy B should be prioritized because of its higher conversion rate, despite lower open and click-through rates, suggesting stronger sales impact. C: Strategy A should be optimized for a lower unsubscribe rate before it can be considered for future campaigns. D: Strategy B's lower unsubscribe rate indicates better audience retention and should be the focus, despite lower engagement metrics.
	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
	Digital Channels for Subscriptions Digital Marketing Conversion Rate Optimization Data Analysis	Marketing Analysis	Medium	3 mins	Try practice test
You are tasked with evaluating the performance of a digital marketing campaign designed to promote a new financial planning app targeting young professionals. The campaign utilized a mix of digital channels with the primary objectives being to increase app downloads and convert users into premium subscribers. Following the campaign's first quarter, you've compiled the following performance data: - Total ad spend: $50,000 - Total impressions: 500,000 across all channels - Total clicks: 25,000 across all channels - Total app downloads: 5,000 - Total premium subscription sign-ups: 425 - The marketing is split into Email marketing, Social Media ads and Google AdWords. - The campaign utilized three digital channels: social media ads, Google AdWords, and email marketing. Of these Social media ads contributed to 2,500 downloads with 125 premium subscriptions. Google AdWords contributed to 1,500 downloads with 150 subscriptions. The rest of the downloads and subscriptions came from Email Marketing. Given this campaign performance data, which digital channel proved most effective for achieving the primary goal of converting users into premium subscribers and should be prioritized in future campaigns? A: Social media ads, due to their largest contribution to app downloads. B: Google AdWords, for its balanced performance in both generating downloads and converting subscriptions. C: Email marketing, because of its highest conversion rate to premium subscriptions, indicating better targeting and engagement. D: Google AdWords because of its highest conversion rate to premium subscriptions, indicating better targeting and engagement. E: Social Media ads because of its highest conversion rate to premium subscriptions, indicating better targeting and engagement.
	Email Marketing Campaign Analysis Conversion Rates A/B Testing	Marketing Analysis	Medium	2 mins	Try practice test
You are analyzing the results of an A/B testing campaign for a newly launched line of eco-friendly activewear. The goal was to determine which of two email marketing strategies resulted in higher engagement and sales. Strategy A focused on discount offers, while Strategy B emphasized the eco-friendly attributes of the clothing line. The campaign ran for one month, targeting a segmented list of 50,000 subscribers, split evenly between the two strategies. The following data was collected: - Strategy A (Discount Offers): - Emails sent: 25,000 - Open rate: 22% - Click-through rate (CTR): 5% - Conversion rate: 0.5% - Unsubscribe rate: 2% - Strategy B (Eco-Friendly Attributes): - Emails sent: 25,000 - Open rate: 18% - Click-through rate (CTR): 4% - Conversion rate: 1% - Unsubscribe rate: 1.5% Based on the data, which strategy should be prioritized for future email marketing campaigns to maximize sales and engagement, considering both effectiveness and audience retention? A: Strategy A should be prioritized due to its higher open and click-through rates, indicating better initial engagement. B: Strategy B should be prioritized because of its higher conversion rate, despite lower open and click-through rates, suggesting stronger sales impact. C: Strategy A should be optimized for a lower unsubscribe rate before it can be considered for future campaigns. D: Strategy B's lower unsubscribe rate indicates better audience retention and should be the focus, despite lower engagement metrics.
	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

Mit Adaface konnten wir unseren Erstauswahlprozess um mehr als 75 % optimieren und so wertvolle Zeit sowohl für Personalmanager als auch für unser Talentakquiseteam gewinnen!

Brandon Lee, Leiter der Menschen, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Marketinganalyse -Test 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 Marketinganalyse -Test 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

Ansicht der Probe Scorecard

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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

Learn more

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Ansicht der Probe Scorecard

About the Marketing Analysis Online Test

Why you should use Pre-employment Marketing Analysis Test?

The Marketinganalyse -Test 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:

Fähigkeit zur Analyse von Marketingdaten
Kenntnisse in Datenanalysetechniken
Verständnis für digitale Marketingstrategien
Kenntnisse des Google Ads -Kampagnenmanagements
Vertrautheit mit PPC -Werbeplattformen
Marketing eigentlich und das Verständnis des Kundenverhaltens
Fähigkeit zur SEO -Bewertung und -Optimierung durchzuführen
Kenntnisse in Google Analytics für die Marketinganalyse
Verständnis der Inhaltsstrategie und -schöpfung
Kopierungsfähigkeiten für eine effektive Marketingkommunikation

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 Marketing Analysis Test?

Marketinganalyse
Marketinganalyse ist die Praxis der Bewertung von Markttrends, Kundenverhalten und Wettbewerberstrategien zur Information von Marketingentscheidungen. Dazu gehört das Sammeln und Analysieren von Daten, um Chancen und Herausforderungen auf dem Markt zu identifizieren und effektive Marketingstrategien zu entwickeln. Die Messung dieser Fähigkeit im Test stellt sicher, dass die Kandidaten die grundlegenden Prinzipien der Marketinganalyse ein solides Verständnis haben. Websites, soziale Medien und E -Mails, um Produkte oder Dienstleistungen zu bewerben. Dazu gehört es, Online -Marketing -Strategien zu erstellen und implementieren, um Zielgruppen zu erreichen und einzubeziehen. Die Bewertung dieser Fähigkeit hilft dabei Unternehmen, mit denen Anzeigen auf Suchmaschinenergebnisseiten, Websites, Videos und mobilen Apps angezeigt werden. Bewertung der Kenntnisse der Kandidaten über Google-Anzeigen stellt sicher, dass sie über die Fähigkeiten verfügen, um erfolgreiche Pay-per-Click-Werbekampagnen zu erstellen und zu verwalten, wodurch der ROI für Unternehmen maximiert wird. Per klick) Werbung ist eine Form der Online-Werbung, bei der Unternehmen jedes Mal, wenn ein Benutzer auf seine Anzeige klickt, zahlen. Es ermöglicht Unternehmen, gezielten Verkehr auf ihre Website zu steigern und Leads oder Verkäufe zu generieren. Das Messen dieser Fähigkeit im Test bewertet das Verständnis der Kandidaten für PPC -Werbeprinzipien und ihre Fähigkeit, Kampagnen für optimale Ergebnisse zu optimieren. Finden Sie Marketingkonzepte, Strategien und Techniken. Es beinhaltet eine natürliche Neigung und Fähigkeit zum Marketing, die durch Training und Erfahrung weiterentwickelt werden kann. Die Bewertung dieser Fähigkeit hilft dabei Websites zur Verbesserung ihrer Sichtbarkeit in den Ergebnissen der Suchmaschine. Es erfordert das Verständnis und die Implementierung verschiedener SEO-Techniken auf der Seite und außerhalb der Seite, um den organischen Verkehr zu einer Website zu steigern. Das Messen dieser Fähigkeiten im Test stellt sicher Verkehr und Benutzerverhalten. Es verfolgt und misst verschiedene Metriken wie Website -Besuche, Conversion -Raten und Benutzerdemografie. Die Bewertung der Kenntnisse der Kandidaten über Google Analytics hilft bei der Bestimmung ihrer Fähigkeit, Daten zu analysieren, aussagekräftige Erkenntnisse zu generieren und datengesteuerte Marketingentscheidungen zu treffen. Erstellung, Lieferung und Verwaltung von Inhalten, um bestimmte Marketingziele zu erreichen. Es erfordert das Verständnis von Zielgruppenpräferenzen, Inhaltsformaten und Verteilungskanälen. Die Bewertung dieser Fähigkeit hilft bei der Identifizierung von Kandidaten, die effektive Inhaltsstrategien entwickeln, Inhalteerstellungsprozesse verwalten und Inhalte mit Marketingzielen ausrichten können. Aufmerksamkeitskopie zur Förderung von Produkten oder Dienstleistungen. Dazu gehört es, die Psychologie der Zielgruppe zu verstehen, überzeugende Botschaften zu erstellen und überzeugende Sprachtechniken zu verwenden. Das Messen dieser Fähigkeit im Test hilft bei der Bewertung der Fähigkeit der Kandidaten, eine effektive Marketingkopie zu schreiben, die das Engagement, die Konvertierungen und das Markenbewusstsein vorantreibt. Entdecken Sie Erkenntnisse, Trends und Muster, die Geschäftsentscheidungen beeinflussen können. Es erfordert Kenntnisse bei der Verwendung von Datenanalyse -Tools und statistischen Methoden, um sinnvolle Schlussfolgerungen zu ziehen. Die Bewertung dieser Fähigkeit hilft bei der Identifizierung von Kandidaten, die Marketingdaten effektiv analysieren, umsetzbare Erkenntnisse generieren und fundierte Marketingentscheidungen treffen können.
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 Marketinganalyse -Test to be based on.
Marktsegmentierung
SWOT-Analyse
Wettbewerbsanalyse
Marktforschung
Kundensegmentierung
Zielgruppenidentifikation
Marketing-Mix
Customer Journey Mapping
Conversion -Rate -Optimierung
Datenvisualisierung
statistische Analyse
Data Mining
Social Media Marketing
E-Mail Marketing
Suchmaschinenoptimierung
Pay-per-Click-Werbung
Inhaltsvermarktung
Influencer Marketing
Markenpositionierung
Marketingkampagnenplanung
Konsumenten-Verhalten
Marketinganalysen
Conversion Tracking
A/B -Test
Mobiles Marketing
Videomarketing
Inhaltsstrategie
Stichwortforschung
Google Analytics Metriken
Verhaltensflussanalyse
Conversion -Trichteranalyse
Benutzererwerb
Benutzerverlobung
Kundenbindung
Textertechniken
Marketingkopie Bearbeitung
Verkaufstrichteroptimierung
Marketing -ROI -Berechnung
Marketing -Budgetzuweisung
Marketing -Leistungsmessung
Datengesteuerte Entscheidungsfindung
Marketing -Attribution -Modellierung
Marketingsegmentierungsvariablen
Digitale Werbeplattformen
Kampagnenoptimierung
Marketing -Automatisierung
Marketingethik
Targeting und Positionierung
Markenführung
Marketing-Kanäle
CRM (Kundenbeziehungsmanagement)
Zielseitenoptimierung
Marketingmetriken und KPIs
Marktforschungsmethoden
Markttrendsanalyse
Marketingprojektmanagement
Marketing -Technologie -Tools

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What roles can I use the Marketing Analysis Test for?

Marktforscher
Digitaler Vermarkter
PPC -Spezialist
SEO -Spezialist
Marketing Manager

How is the Marketing Analysis 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

Fähigkeit, Daten für Erkenntnisse zu analysieren und zu interpretieren
Kenntnisse in der Entwicklung von Marketingplänen
Kenntnisse über Social -Media -Marketingstrategien
Erfahrung mit E -Mail -Marketingkampagnen
Fähigkeit zur Durchführung von Marktforschung
Verständnis der Verbraucherverhaltensanalyse
Kenntnisse über Marketing -Automatisierungswerkzeuge
Erfahrung mit A/B -Tests zur Marketingoptimierung
Fähigkeit, Google -Anzeigenkampagnen zu erstellen und zu verwalten
Kenntnisse in der Durchführung von Wettbewerbsanalysen

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Ansicht der Probe Scorecard

Die Personalmanager hatten das Gefühl, dass sie durch die technischen Fragen, die sie während der Panel-Interviews stellten, erkennen konnten, welche Kandidaten bessere Ergebnisse erzielten, und sie von denen unterscheiden konnten, die nicht so gut abschnitten. Sie sind Sehr zufrieden mit der Qualität der Kandidaten, die beim Adaface-Screening in die engere Auswahl kommen.

85%

Verringerung der Screening -Zeit

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Marketing Analysis Hiring Test FAQs

Kann ich mehrere Fähigkeiten zu einer benutzerdefinierten Bewertung kombinieren?

Ja absolut. Basierend auf Ihrer Stellenbeschreibung werden benutzerdefinierte Bewertungen eingerichtet und enthalten Fragen zu allen von Ihnen angegebenen Must-Have-Fähigkeiten.

Haben Sie Anti-Cheating- oder Proctoring-Funktionen?

Wir haben die folgenden Anti-Cheating-Funktionen:

Nicht-Googling-Fragen
IP -Verbreitung
Web -Verbreitung
Webcam -Proctoring
Plagiaterkennung
sicherer Browser

Lesen Sie mehr über die Proctoring -Funktionen.

Wie interpretiere ich die Testergebnisse?

Die wichtigste Sache, die Sie beachten sollten, ist, dass eine Bewertung ein Eliminierungswerkzeug ist, kein Auswahlwerkzeug. Eine Bewertung der Qualifikationsbewertung wird optimiert, um Ihnen zu helfen, Kandidaten zu beseitigen, die technisch nicht für die Rolle qualifiziert sind. Sie ist nicht optimiert, um Ihnen dabei zu helfen, den besten Kandidaten für die Rolle zu finden. Die ideale Möglichkeit, eine Bewertung zu verwenden, besteht also darin, einen Schwellenwert zu entscheiden (in der Regel 55%, wir helfen Ihnen bei der Benchmark) und alle Kandidaten einladen, die für die nächsten Interviewrunden über dem Schwellenwert punkten.

Für welche Erfahrung kann ich diesen Test verwenden?

Jede Adaface -Bewertung ist an Ihre Stellenbeschreibung/ ideale Kandidatenpersönlichkeit angepasst (unsere Experten für Fache werden die richtigen Fragen für Ihre Bewertung aus unserer Bibliothek mit über 10000 Fragen auswählen). Diese Einschätzung kann für jede Erfahrungsstufe angepasst werden.

Bekommt jeder Kandidat die gleichen Fragen?

Ja, es macht es Ihnen viel einfacher, Kandidaten zu vergleichen. Optionen für MCQ -Fragen und die Reihenfolge der Fragen werden randomisiert. Wir haben Anti-Cheating/Proctoring Funktionen. In unserem Unternehmensplan haben wir auch die Möglichkeit, mehrere Versionen derselben Bewertung mit Fragen mit ähnlichen Schwierigkeitsgraden zu erstellen.