Is your user outreach data driven?
I'm trying to formulate a methodology for identifying the best channels to target prospective users on. As we know, that's hard to do when splitting time between building and sales on mornings/nights/weekends. So it stands to reason that optimizing the process will significantly reward your time.
For me, I recently added Google Analytics to my project to better attribute conversions (currently just email signups) to social channels. The thought is that, by performing explicit outreach on e.g. Twitter or Reddit for several days, I'll be able to generate artificial cohorts for signup conversions. Then once enough data comes in, be able to allocate a greater percentage of time towards the highest converting channel.
Related considerations that come to mind are the difficulty of finding users on each channel (could be that there is more content to identify users on platform A vs. B) and the user density (conversions can start high and falter off).
Have you implemented a data driven approach for user outreach, and if so, what are some of the strategies that you currently use? How would you redo it if you had the chance?
Data driven approaches work well when you have a lot of data, which usually means a lot of traffic. I've found that when doing manual outreach for a fairly new project it's better to have longer conversations and record individual insights than to track conversions.
I second that too, in order to make decisions based on data the numbers need to offer statistical significance, so I use data for sure when the numbers start to offer insights
Yeah that does make sense, you could even boil it down to a quality versus quantity equation. Where if you're not going to capture a lot of data points, you might as well aim for insightful ones that will generate more high output decisions. Whereas if you are more intent on using a data driven approach, the question could become 'how do you increase repetitions to do so'.
Depends on what type of niche I'm touching.