A really easy way to drum up orders is to send reminder emails to customers who could have ran out by now.
If your product has a built-in timeline (e.g. 60-day supply) then timing the reminder email should be easy. Just send them that long after their last order.
You don't even need to adjust or buffer the timing as you'd want the reminder to be seen before they run out.
For consumable goods that don't have a built-in timeline (e.g. 12-pack of energy bars), you'll have to dial it in a bit. There are two options.
First option, just pick a date like 30-days post-order, try it, measure reorders, and then adjust the timing.
(Or use the Average Latency in Repeat Customer Insights as it already measures how often reorders happen).
Second option, I'd recommend thinking about each product and trying to come to some assumption on consumption. Then you can calculate reorder points based on order sizes.
For example, a meal-replacement bar might be eaten once a day but maybe 1-2 per week is standard. Exercise bars would be every day of exercise so 3-5 per week. Running nutrition would be 3-5 per longer run which would happen once or two on the weekend. Big jug of smoothie supplement has 60 servings which is eaten daily.
Based on that, you'd make assumptions to delay reminders:
- meal-replacement bars by 2 days per item
- exercise bars by also 2 days per item
- running nutrition by 1 day per item
- smoothie supplement by 1 day per serving
Now if someone orders your 24-pack of meal-replacement bars, a reminder around 48 days makes sense.
Best bang-for-your-buck, using my app's metric is faster and you can get those reminders queued for delivery.
Otherwise doing the first option is a good start (fixed timeline). Just remember to adjust as you collect data.
The second option is best for optimizing customer reorders. Done right it can effectively build product subscriptions without all the hassle convincing customers to subscribe.
Eric Davis
Did all of those holiday shoppers ever come back?
Compare how your last winter customers performed over the year with the Winter Holiday report in Repeat Customer Insights.