I was chatting with another business owner this week who noticed a few streaks of low sales over the past 9-10 weeks.
He has analytics and attribution systems setup. The traffic level seems fine but conversions have fallen off here and there. He's suspecting one of his organic marketing channels is starting to send low quality visitors who don't end up buying.
He could investigate and try to prove that thought with the data but he's already doing just about everything he can in that channel. Knowing that it's sending low quality traffic wouldn't change what he does or any of his decisions.
(He's actively trying to build up a better, replacement channel)
There comes a time where digging into more data won't be beneficial at all. Noticing that is difficult and takes a lot of experience (and times where you did dig in and found nothing new after hours of digging).
Connecting the data you have, even if it's not perfect, to decision-making is one of the more valuable activities. That's why Repeat Customer Insights tries to tie your reports and metrics to recommendations and data insights.
Even if the advice isn't perfect, you can still make better decisions without having to dig too deep and waste hours of your time.
Eric Davis
Measure your customer loyalty
Measure the different levels of customer loyalty with Repeat Customer Insights. It uses various models to segment and grade your customers based on their behavior.