Great post! I wish I was as proactive in documenting UChicago’s outreach data; this is really good data!
This post updated me towards thinking quantity of outreach does not matter so much, once you reach a high level. Though, I already believed this. I’m not sure this data alone should update someone else towards believing quality of outreach or quantity of outreach before a threshold matter less:
(a) Quality might still matter. I think EA clubs largely do a great job on quality (and Purdue seems to be at the top of the range of EA marketing) and low-hanging fruit is not easy to find here, but more A/B testing and creative approaches still could be very valuable. (b) The year before, you did 2 fairs and 18 emails towards the department I assume are largest/most EA-prone at Purdue. That’s substantial outreach.
One other implication of this finding that I want to mention is that we should use different metrics than pure numbers to evaluate EA clubs and strategies if numbers are mostly a function of your campus’s student body. Not sure what this should be since conversion numbers are difficult to compare because of different demographics.
Great post! I wish I was as proactive in documenting UChicago’s outreach data; this is really good data!
This post updated me towards thinking quantity of outreach does not matter so much, once you reach a high level. Though, I already believed this. I’m not sure this data alone should update someone else towards believing quality of outreach or quantity of outreach before a threshold matter less:
(a) Quality might still matter. I think EA clubs largely do a great job on quality (and Purdue seems to be at the top of the range of EA marketing) and low-hanging fruit is not easy to find here, but more A/B testing and creative approaches still could be very valuable.
(b) The year before, you did 2 fairs and 18 emails towards the department I assume are largest/most EA-prone at Purdue. That’s substantial outreach.
One other implication of this finding that I want to mention is that we should use different metrics than pure numbers to evaluate EA clubs and strategies if numbers are mostly a function of your campus’s student body. Not sure what this should be since conversion numbers are difficult to compare because of different demographics.