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it is super simple. nothing to be overwhelmed about. just bucket the campaigns by goal (tof, mof, bof) and subsquently sort them in decreasing order of performance. Pick top 2-3 from each bucket. In most cases 20% campaigns drive 80% of the result. Focus on learning and optimizing those 20% campaigns first.

Hey @Aniruddh Jain, thanks for the tip! I like how you use the 80/20 rule to focus on top campaigns. Do you use any tools to help sort and analyze them, or do you do it by hand? We're actually working on a tool to help marketers in PLG orgs manage their campaigns better. So, knowing what you use or wish you had could be really helpful for us. Thanks again! 🙌🏻

Excels and Google sheets work fine for me.

@Aniruddh Jain For sure! Excel and Google Sheets are undoubtedly versatile tools, especially for small to medium-sized organizations. However, I'm curious: do you think their efficacy diminishes in larger setups? My colleague, whom I mentioned earlier, stepped into a role at a company with a $90 Million ARR. Given the scale, I wonder if relying on these tools might pose challenges in terms of scalability and real-time data syncing. 🤔 Would love to hear your thoughts on this! Thanks for the continued dialogue! 🙌

I regularly work with companies with $30-50M ARR range but I've had experience working with publicly listed companies with $1B+ revenues as well. The scope of work changes but I like the flexibility with Google Sheets. I would use BigQuery or Python for more advanced analysis but the last mile still happens on Google sheets.

@Aniruddh Jain Wow, from $30-50M ARR to $1B+ giants? That's a wide range! It's cool that Google Sheets works across the board. 😌 By the way, we've got some new designs for our tool. Given your experience, I'd really value your thoughts. Would you be up for a quick chat this week to check them out? Thanks for sharing your insights! ☺️