Work / Lifecycle
B2C · Lifecycle and retention
Email, SMS and loyalty for Los Angeles apparel and lifestyle brands
The problem
The brand had no loyalty program, no referral program and almost no email. The few emails that went out were generic and not written for different types of customers.
What I did
- I built every email and SMS flow, each written for a type of customer, and set up the loyalty and referral programs.
- I tested Attentive for SMS, then chose Yotpo, which ran email, SMS, loyalty and referrals together inside Shopify.
- I A/B tested the flows and reviewed results every quarter with Yotpo's account team.
The result
View as a table
| Item | Value | Note |
|---|---|---|
| 2023 | $743K | cost $23,033 · 31x ROI |
| 2024 | $1.29M | cost $28,605 · 44x ROI |
Source: Yotpo quarterly business reviews and the final recap.
CampaignsFlows
View as a table
| Row | Part | Amount |
|---|---|---|
| Three years | Campaigns | $1,083,052 |
| Three years | Flows | $968,666 |
Source: Yotpo final recap. Flows earned far more per dollar than campaigns.
How this was measured: from Yotpo's final recap. Campaigns brought in $1.08M and flows $969K.
How this was measured: from Yotpo's quarterly business reviews.
How this was measured: from the same recap. Flows earned far more per dollar than campaigns.
How this was measured: from the 2024 loyalty review.
How this was measured: from the recap.
How this was measured: from the loyalty analysis.
How this was measured: from my own program reporting across clients. The Game Changers detail above is one of those programs.
How this was measured: from campaign reporting.
How I got there
I audited what existed, split customers into types, built the flows for each type, then launched loyalty and referrals. After that I A/B tested the flows and reviewed revenue every quarter in Yotpo's business reviews.
Stack and workflow
What I learned
Automated flows beat campaigns by a wide margin on return. Build the always-on messages first, then add campaigns on top.
Reference
"His ability to explain multi-touch attribution channels, and pinpoint exactly where we had to optimize showed his analytical ability."