The Growth Marketing test evaluates a candidate’s ability to use a data-driven approach to analyzing and optimizing the entire marketing funnel in order to attract, engage, and retain customers and increase sales and referrals.
It’s an ideal test for pre-employment assessment of candidates applying for a variety of digital marketing roles, including growth marketers, conversion marketers, and growth hackers. A good candidate for a growth marketing job will be able to display competency with using data to assess and improve all stages of the customer lifecycle. This growth marketing test can be used to screen a large group of candidates in order to select the best to bring in for an interview.
This test requires candidates to answer a series of assessment questions covering identification of relevant and measurable performance standards, setting up useful campaign tracking, and synthesis of A/B testing and conversion funnel data to optimize performance.
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A/B testing is an essential user experience research methodology that compares two or more versions of a variable (e.g. a web page) to identify which is most successful with customers.
The ability to determine necessary sample sizes and an understanding of how sample sizes influence test duration are essential knowledges for anyone designing A/B tests or analyzing testing data.
Public questions (free account) are common interview questions. They are great for practicing, or if you want to filter candidates using the classic problems.
This is a new addition to our question library.
You have a new client, who operates an eCommerce business receiving traffic of 500 visitors per week. The client insists on presenting you with a list of ideas for improving their website and expects you to approve or reject each idea after careful consideration.
In the list below, enter “Y” if you would approve the idea and “N” if you would reject the idea.
_____ 1. Testing small changes to the landing page to increase conversions by 2%.
_____ 2. Testing radically different redesigns of the landing page to increase conversions by 50%.
_____ 3. Test variations of the product page to increase Add to Cart clicks by 20%.
_____ 4. Test variations of the checkout process to increase completed purchases by 1%.
_____ 5. Use multivariate testing on your least-popular product pages to increase purchases.
_____ 6. Lower your statistical significance threshold to 75% to see the results of your tests more quickly.
Our tests are designed to put candidates into either the pass group or the fail group so you can find the best candidates faster.
We have pre-built tests and questions, but you can customize them however you like. Change the pass/fail scores, time requirements, and more.
Use tests that solve real-world problems, with no answers that can be easily found online. Because we test performance and skills (not information), we allow the use of online resources, just like in real life. Copy/paste prevention and online proctoring via webcam prevent cheating.
Get an overview into the percentage of passes and fails. Then dive deeper into the results of your top candidates to select who goes onto the next phase of hiring.