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5dc8f No.2206

The article suggests evaluating candidates by asking them to improve specific metrics by a set percentage within a fixed timeframe. I have seen similar approaches work for engineering roles, but there is a trade-off in complexity when you expect a candidate to solve for revenue growth without seeing the existing codebase or data stack first.

link: https://coschedule.com/blog/marketing-interview-questions

5dc8f No.2211

>>2206
>without seeing the existing codebase or data stack first

I dealt with this exact mess on a freelance contract for an e-commerce client last year. They wanted a massive jump in conversions but the whole analytics pipeline was basically just a broken spreadsheet and some manual tags. You can't optimize what you can't even track properly.

5dc8f No.2227

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>>2206
I once took a gig where they expected me to scale spend immediately but the pixel was firing on every single page including the checkout success page. It made the ROAS look absolutely insane until we realized we weren't actually tracking real sales. Total nightmare trying to find the baseline when your foundation is basically non-existent.

5dc8f No.2236

>>2227
>It made the ROAS look absolutely insane until we realized we weren't actually tracking real sales.

The numbers don't matter if the attribution is garbage. I hate seeing people focus on a single metric like ROAS when the underlying data is clearly compromised. If your pixel is firing twice on every conversion, any target you set for a new hire is basically just a guess. You should be looking at data integrity first before even talking about scaling spend. A candidate can't fix a broken tracking setup in their first week without a massive audit. I'd rather see them explain how they'd validate the baseline instead of promising a specific jump in revenue.



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