By Don Ho · Reviewed by Billy Dietz ·
At Harmony Tea Bar, we made horchata from scratch. Some of my Latin customers liked it enough to ask me not to tell anyone they preferred it to their mothers' recipes. I tell that story in The Perfect Blend because a product people remember gives them a reason to talk about a shop. The marketing lesson was to deliver something worth seeking out again. An online tea brand has to create that experience through the tea, the instructions, and the next order.
For a packaged tea brand, start by helping customers get a good first cup, making the same product easy to find again, and measuring second purchases for a defined group. Before buying a loyalty tool, check where that path breaks. A customer who brews a delicate green tea with water that's too hot may decide they dislike the product before you ever send a reorder reminder.
What does returning mean for your business
This article focuses on online packaged tea. A pouch bought for a daily routine has a different reorder pattern from a one-time gift or a collection of teas someone drinks occasionally. Separate those occasions before judging how quickly customers should return.
Track the share of first-time buyers who place a second paid order within 90 days. Use that as a starting observation window, then review whether it fits the pouch sizes and consumption patterns you serve. Keep subscription renewals separate from customers actively choosing another one-time order.
Vendor-reported BS&Co data covering 156,110 DTC customers found that 50.3% of second purchases among repeat buyers occurred within 30 days and 76.4% within 90. That supports watching beyond the first month. It doesn't mean 76.4% of all customers returned, and the dataset isn't specific to tea. Keep your own group's full observation period consistent.
Did the first purchase work for the customer
Test the first cup before designing another offer. Does the product page explain the flavor accurately? Does the tea arrive intact, with instructions for the actual product? Green tea brewed too hot or steeped too long can taste harsh. Give customers a clear starting leaf quantity, water amount, temperature, and time, then explain how to adjust to taste.
Ask one direct question after the customer has had time to try the tea: How did you brew it, and how did it taste? The reply can reveal an instruction gap or a mismatch in expectations. Keep a record of repeated questions so you can improve the guide and the product page together.
Place the brewing guide where someone will find it when the kettle is on. Include it with the order and make it accessible from the product page. An instruction buried in an old promotional email is hard to recover when a customer is standing in the kitchen.
Make the next choice easier
Help customers remember what they enjoyed. A clearly named product, an easy-to-find reorder page, and a simple preparation reference can make a second purchase less work. Keep product descriptions consistent enough that returning customers recognize the tea they bought.
Offer a considered next tea. Someone who enjoyed a brisk black tea may appreciate a comparison with a gentler black or a different harvest. Explain the difference in flavor and preparation so the recommendation helps them make a decision.
First-flush Darjeeling sells through, single-estate lots end, and blends can shift between harvests. Tell customers when they're buying a limited lot. When it ends, describe the closest available alternative and how it differs; don't present it as an identical replacement. Keep the old product page helpful for someone coming back to reorder.
Use a simple second purchase calculation
Suppose 40 people place their first online order during one month. Give every buyer the full 90-day observation period. If 10 place a second paid order, the calculation is:
Second purchase rate for that group = 10 divided by 40 multiplied by 100 = 25 percent.
That is a 90-day second-purchase rate for a first-order group. It differs from the share of this month's orders coming from repeat customers. Document how you handle refunds, cancelled orders, exchanges, duplicate customer records, and subscriptions. Yotpo cites 30–40% repeat-customer rates for consumable categories such as food and beverage, but that broad vendor reference uses a different customer-base measure. It isn't a direct benchmark for this 90-day example.
Compare like with like. If next month's group contains many gift buyers or a different acquisition campaign, explain the difference before crediting a new message. Small groups can move sharply when only a few people order. Use the result as a question to investigate, not proof that one change caused the outcome.
When should you follow up
A 60-gram pouch used at 3 grams per serving provides 20 leaf portions: about 20 days for someone using one portion daily. But an oolong or pu-erh drinker may re-steep the same leaf, and gongfu brewing uses a different leaf-to-water ratio across several infusions. Ask how customers actually prepare the tea before treating pouch weight as a reminder schedule.
Let customers choose reminder frequency or answer a question about their routine. Follow up with brewing help, product clarification, or a relevant reorder link. If someone says the tea didn't suit them, work through that experience before asking them to buy again.
Check the marketing rules where your customers are. US CAN-SPAM uses an opt-out framework; Canada's CASL generally requires express or valid implied consent as well as identification and an unsubscribe mechanism. EU and UK rules have their own requirements and exceptions. Record the basis for your marketing contact and make stopping messages straightforward.
Test one improvement before adding a loyalty program
Choose one recurring point of friction and address it before adding rewards. If brewing questions keep coming in, improve the guide. If customers can't find the tea they bought, fix the reorder path. Review the effect on the next comparable customer group before adding another intervention.
Use this worksheet for one test:
- Customer group: Who made a first purchase, and what buying occasion does the group represent?
- Problem: What specific evidence suggests they are struggling to return?
- Change: What single improvement will you introduce?
- Measure: What counts as a second purchase, and how long will each buyer be observed?
- Economics: What extra product, fulfillment, or service costs does the change create?
- Review: When will the full observation window end, and what decision will you make then?
If you offer an incentive, track contribution after the discount, product cost, and fulfillment. The discount story is more complicated than assuming deal-seekers never return. In BS&Co's October 2026 analysis of 13 DTC brands, code-first customers repeated at a similar or higher rate at 10 brands, but returning code-first buyers used another code more often. It's observational vendor data, not a tea-specific causal finding. Compare like customers and check the margin on order two.
Bring your second-purchase worksheet into Steep Insights: Founder's Circle. Share where customers appear to stall, what you're changing, and how you'll measure the next group.
Work through your next tea business decision
Bring your questions to Steep Insights: Founder's Circle, or discuss your operating needs with BDH.
Questions tea founders ask
How do I calculate a 90 day second purchase rate?
Divide first-time buyers who place a second qualifying paid order within 90 days by all buyers in that first-order group, then multiply by 100. Give every buyer the full observation period.
When should I send tea reorder reminders?
Base reminders on pouch size, leaf used, re-steeping, brewing style and the customer’s routine, with appropriate marketing permission.
Sources and further reading
- The Perfect Blend by Don Ho — Chapters 5 and 8
- BS and Co repeat purchase dataset
- BS and Co first order discount study
- Yotpo repeat customer rate
- FTC commercial email guidance
- CRTC CASL guidance
- UK ICO email marketing rules
Related frameworks: Daily Operations SOP Framework and Retail KPI Framework.
