How Quaker Marine turned post-delivery check-ins into 51% more repeat purchases with Signals
In a randomized experiment across 1,910 customers, Signals lifted repeat purchases by 16% at 3 weeks. Among customers who engaged in post-delivery conversations on iMessage and RCS, repeat purchase rates were 51% higher.
Quaker Marine × Signals
Most brands disappear after delivery. Quaker Marine used Signals to turn that moment into a conversation. In a randomized experiment across 1,910 customers, treatment customers repurchased 16% more often within 3 weeks. On iMessage and RCS, about 58% replied. And among customers who engaged in conversation, repeat purchase rates were 51% higher than the control group.
3-week repeat purchase lift for treatment customers vs. control.
Customers reached on iMessage and RCS who replied to the check-in.
3-week repeat purchase lift among customers who replied.
“My philosophy has always been to make a customer, not a sale. Signals gives us a way to do online what the best retailers have always done in person.”
Kevin McLaughlin
Owner, Quaker Marine Supply Co.
At a glance
Quaker Marine is the kind of brand people want to hear from. The products are distinctive. The brand feels personal. The service has character.
But like most ecommerce brands, the customer experience still risked going quiet right after delivery. Customers got the standard order emails, then the relationship depended on whether they decided to come back on their own.
Signals gave Quaker Marine a better way to show up in that window. Instead of letting the moment fade, the brand sent a simple post-delivery check-in over iMessage and RCS. Customers could ask about sizing, care, restocks, returns, or what to buy next. It felt less like a campaign and more like a real conversation.
That shift turned post-delivery into something more valuable than a courtesy touch. It became a retention channel.
“QMS is the only company where someone has reached out to follow up on the clothing I’ve ordered. Please share with your team that this element of service is greatly appreciated.”
— Garry, Quaker Marine customer
A small change to the customer journey
Starting on February 18, 2026, every new order was randomly assigned 50/50 to treatment or control.
Treatment customers received a post-delivery check-in from Signals. Control customers received Quaker Marine’s normal Shopify transactional emails only.
The message itself was simple. It arrived after delivery, in a channel customers actually use, and opened the door to a helpful conversation. No survey. No discount. No hard sell. Just a timely reason to reply.
For the channel analysis below, we focus on customers reached through iMessage and RCS, where Signals delivers its richest conversational experience.
“Glad to hear from you! I’ll be back because of this text. Means so much!”
— Mona, Quaker Marine customer
The result: customers came back and bought again
The check-in drove measurable repeat purchase across every time window we measured.
Repeat purchase rate: treatment vs. control
| Cohort | 1 week | 2 weeks | 3 weeks |
|---|---|---|---|
| Control | 3.6% (29/796) | 6.6% (39/595) | 9.7% (45/464) |
| Treatment (iMessage + RCS) | 4.6% (31/670) | 8.3% (41/493) | 11.2% (41/366) |
| Replied customers | 5.0% (20/397) | 10.2% (29/285) | 14.7% (31/211) |
| Lift (treatment vs. control) | +27% | +27% | +16% |
| Lift (replied vs. control) | +38% | +55% | +51% |
Each column uses customers reached via iMessage or RCS with enough elapsed time for that measurement window.
Two things stand out.
First, the lift is real across the entire treatment group, not just among customers who replied. Even customers who saw the check-in and never responded repurchased at higher rates than control. Receiving the message alone moved the needle. Having a conversation moved it further.
Second, the replied cohort’s advantage grew over time. At 1 week, responded customers repurchased 38% more than control. By 2 weeks, that gap widened to 55%, and at 3 weeks it held at 51%. That pattern is consistent with what you’d expect from relationship-building: the conversation creates a connection to the brand that compounds as the customer thinks about their next purchase.
“I love that you texted to check on the tops. They are perfect and I will definitely be ordering more colors.”
— Holly, Quaker Marine customer
More than half of customers replied
Of the 773 customers reached via iMessage or RCS, 57.6% replied. On iMessage (717 customers), the reply rate was 56.9%. On RCS (56 customers), it was 66.1%. RCS is a smaller sample but consistently outperformed.
These are not typical marketing response rates. For context, SMS campaigns average 1-5% reply rates. Signals reached 57% because the message arrives in a personal channel, at the right moment, and asks a question the customer actually wants to answer.
Engagement rate by channel
| Channel | Customers | Reply rate |
|---|---|---|
| iMessage | 717 | 56.9% |
| RCS | 56 | 66.1% |
| Combined | 773 | 57.6% |
“Impressive follow-up. This is my second purchase from Quaker Marine.”
— Thor, Quaker Marine customer
These were real conversations, not throwaway replies
We categorized all 454 conversations where a customer replied.
Conversation outcomes (454 replied customer conversations)
| Outcome | % of conversations |
|---|---|
| Thankful response | 73% (333) |
| Support issue handled | 17% (79) |
| Mentioned plans to reorder | 13% (59) |
| Asked about new products | 9% (40) |
Categories overlap. A single conversation can appear in multiple rows.
Most conversations (73%) were straightforwardly positive: customers saying the product was great, thanking the team for checking in, or sharing how they were using the item. That matters because it means the outreach was welcomed, not tolerated. Customers did not treat the message as noise. They treated it as attention.
17% of conversations turned into support moments: exchanges for a different size, return labels, care instructions. These are issues that would normally require a customer to navigate a returns portal or open a helpdesk ticket. Instead, they got handled in the same thread.
The most commercially interesting finding: 13% of customers (59) volunteered plans to reorder, and another 9% (40) asked about products they hadn’t bought yet. Restock dates, new colors, gifts for a spouse. These are buying signals that brands usually spend real marketing dollars to surface. Here they showed up organically, in a conversation the customer initiated, at zero incremental cost.
“This was truly the most pleasant return experience.”
— Emily, Quaker Marine customer
What this means in dollars
The incremental 3-week repurchase rate for engaged customers was 5.0 percentage points (14.7% vs. 9.7%). That means for every conversation Signals starts that a customer replies to, there is a 5% chance it generates an additional order that would not have happened otherwise.
At scale, that adds up quickly.
Incremental revenue per engaged conversation
| Average order value | Revenue per conversation |
|---|---|
| $100 | $5.00 |
| $200 | $10.00 |
| $500 | $25.00 |
And this only counts the first 3 weeks. The conversations also generated product feedback, support resolutions, and buying intent data that compounds over time.
This is revenue that required no discount, no ad spend, and no promotional campaign. It came from one well-timed message that customers wanted to answer.
Why this mattered for Quaker Marine
Quaker Marine did not need to reinvent its brand voice. It already had a service ethos customers responded to. Signals gave the team a way to extend that feeling into the days after delivery, when most brands go quiet.
The result was stronger repeat purchase, more customer conversations, smoother support moments, and clearer buying intent, all from a message customers actually wanted to answer.
That is the bigger takeaway from this case study. Post-delivery does not have to be the end of the journey. For Quaker Marine, it became the start of the next one.
“Good customer service, plan on ordering more in future.”
— Tommy, Quaker Marine customer
Want results like these for your brand?
Signals helps apparel and lifestyle brands turn post-delivery check-ins into real customer conversations and measurable repeat purchase lift.
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