This year I started to germinate some plants inside.
Not wanting to buy lights and equipment, I used the ambient heat which was just enough to get the seeds started. Then I put them outside to finish growing.
Last Friday I planted the first batch of lettuce in the ground.
Based on my data, that’s the same time I sowed the seeds last year so these have about a 40 day head start. That means 40 days of extra food just from planning ahead and experimenting with new techniques.
This is just the first result from some experiments I’m doing this year. By tracking the dates and measuring how the plants grow, I’m able to compare the results to last year to make sure an improvement is legit.
Last year was the first full year so a lot of what I was doing was just from book learning and trying anything I could get to work. This year I’ve learned what worked, what didn’t, and have better systems in place.
Measuring and tracking how your customers behave is important.
Knowing where the best customers come from, how often they buy, and who is starting to defect are important parts of your store systems. Once you start measuring them, then you can start to experiment with optimizations. Without measurements though, you’re stuck trying random things and it’ll be difficult to know what worked.
A quick and automatic way to measure your customer behavior is with Repeat Customer Insights. It’ll automatically import your Shopify data and run a number of analyses to highlight different customer behavior.
Use cohorts to find out who the best customers are in your Shopify store
Repeat Customer Insights will automatically group your customers into cohorts based on when they first purchased. This will let you see how the date customers bought would impact their behavior.