Before Order
A shopper texts a real question about sizing, fit, or shipping, and gets an answer that helps them buy with confidence.
Signals turns customer questions and post-delivery check-ins into one iMessage thread that recommends, reassures, and keeps customers coming back.
Integrates with
Gladly
Subscribfy
Gladly
Subscribfy Signals runs as an A/B test against a holdout, so the lift you read here is measured, not modeled.
“What stands out is that the growth is both incremental and profitable. In an A/B test we saw that every Signals conversation made us an extra $30 after 2 weeks.”
Rob Varon · Vice President, Digital, Jordan Craig
“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.
Signals keeps one iMessage conversation between shopper and brand open across the moments that decide sales, support, and repeat revenue.
A shopper texts a real question about sizing, fit, or shipping, and gets an answer that helps them buy with confidence.
Signals points them to the right product, then handles the live order: changes, cancellations, and where's-my-package.
The box lands and Signals checks in, catching fit and quality issues before they turn into a return.
Happy customers volunteer what they want next, and Signals recommends it from their own purchase history.
Signals keeps the before-purchase and after-delivery moments connected, so sales, support, returns, and retention do not become separate workflows.
Before purchase
Answer the questions that decide whether a shopper buys now or leaves.
A shopper is between sizes
Use product, order, and policy context to recommend the confident choice.
A shopper asks what goes with what
Turn styling, bundle, and comparison questions into assisted revenue.
A desired variant is sold out
Suggest in-stock alternatives or capture restock intent in the same thread.
The blocker is operational
Answer delivery, exchange, return, and gift questions before checkout.
After delivery
Follow up when the customer has the product and the next signal is strongest.
The box arrives
Ask how the product is working, collect feedback, and keep the thread alive.
Fit, color, or expectation is off
Recommend available alternatives before the customer disappears into a return portal.
A customer says what they need next
Suggest the right product from the live catalog with purchase context in hand.
Usage, cadence, or churn risk appears
Turn product experience into reorder timing, subscription changes, or a better plan.
Shared context
Pre-purchase and post-delivery playbooks use the same customer context.
Human handoff
Unusual conversations escalate without losing the thread history.
Measurement
Revenue, support outcomes, and customer requests stay tied to the conversations that created them.
Klaviyo, Attentive, Postscript, and Omnisend broadcast. Gorgias and Zendesk react. Loop and Narvar process returns. Signals starts the 1:1 iMessage conversation those systems are not built to start.
Most inbound and post-delivery conversations resolve fully with AI. When something unusual appears, it escalates to a human in the same thread, and your team can step in without losing context.
Hi Oliver! I tried it on, I just wish it were a bit smaller and a lighter green
Can we exchange for a smaller size?
Photo uploaded for quality issue
No response yet, reminder scheduled
What we're learning from running post-delivery concierge threads at scale, from reply curves to the buying intent customers volunteer on their own.
In a completed A/B test across thousands of customers, each Signals conversation with a Jordan Craig customer added an estimated $30 in repeat revenue within two weeks of the post-delivery check-in, measured against a randomized holdout.
Signals data from thousands of post-delivery conversations shows why ordinary customer replies can become service recovery, repeat purchases, and usable retail intelligence.
A post-delivery text thread that remembers the exchange, the gift recipient, and the product a customer was already eyeing stops being a delivery check-in and starts earning revenue, conversation after conversation.
Learn how Signals turns one-time buyers into repeat customers and drives measurable retention revenue.
We see about 2.5 texts per 1,000 impressions, with roughly a 40/60 support-to-sales mix. About 20% of sales conversations result directly in a sale.
Signals creates additional revenue for DTC brands in two ways: it helps new customers buy by answering the questions that block checkout, then it increases LTV from existing customers through reorders, cross-sells, upsells, and subscription saves. Brands see 50%+ more repeat purchases from engaged customers.
Results vary by brand, but the A/B tests give concrete numbers. Jordan Craig made an extra $30 in repeat revenue from every Signals conversation after 2 weeks, and Quaker Marine saw 51% more repeat purchases among engaged customers. Beyond that lift, brands get more new-customer purchases from answered questions plus cross-sell, upsell, and subscription revenue. We scope a refundable 4-week pilot that runs as an A/B test against a holdout, so you can measure it on your own numbers.
DTC brands and e-commerce companies that want to turn one-time buyers into repeat customers. Best for brands selling physical products with natural reorder or cross-sell opportunities. Not a fit for teams looking for a bulk SMS marketing tool.
Marketing campaigns broadcast offers to a list. Signals starts 1:1 conversations with customers at the moment they are most engaged, right after they receive their order. Customers reply, share feedback, and buy again inside that conversation. That is why engagement rates reach 61%, versus single-digit rates for email and traditional SMS. Read more in SMS CX Shouldn't Be NoReply.
iMessage is where customers already have real conversations. Messages are read in minutes, not hours. Customers can reply instantly, share photos, and pick up the thread later. No app to install, no inbox to compete with. The result is 61% engagement and real two-way conversations that drive revenue.
The opposite. A well-timed check-in after delivery feels like genuine care, not marketing. Customers respond because the outreach is personal and helpful. About 15% of customers voluntarily share future buying intents during the conversation without being asked.
Signals detects early churn signals like product buildup, skipped orders, or dissatisfaction during post-purchase conversations. Instead of waiting for a cancellation, it proactively adjusts delivery frequency, offers alternatives, or resolves issues, saving subscriptions before they are lost.
Setup can take 10-20 minutes total when access is ready, because Signals lives on top of your customer stack instead of replacing it. The refundable pilot then runs as a 4-week A/B test to tune the first playbooks and measure lift against a holdout. The goal is to prove roughly 10x ROI by the end of the pilot. Book a demo to scope yours.
Signals connects to Shopify, Gorgias, Zendesk, Gladly, Loop, Redo, Subscribfy, Listrak, Manhattan Associates, EasyPost, Slack, and more. It lives on top of the customer stack you already use, so your helpdesk, return portal, SMS marketing tool, and commerce systems can stay in place. You provide access to your commerce platform and an escalation path for support; we handle the rest.
Yes. Signals runs a remote MCP (Model Context Protocol) server, so you can connect Claude, Codex, and other MCP clients straight to your Signals workspace. An org admin creates scoped, revocable access tokens, or connects over OAuth, to expose read-only analytics, catalog, orders, customers, and conversation data, plus admin settings when you opt in. Your team can pull performance numbers and manage Signals from the tools they already use, and a brand can let its own AI agent reply to customers through the same connector. See our compliance page for how MCP-initiated messages are governed.
Every pilot is refundable and includes an A/B test with a holdout group. We measure incremental new-customer conversion, revenue per customer, cross-sell conversion, repeat purchase rate, and subscription retention. Signals typically charges per engaged conversation per month, so ROI is measured against actual conversation volume and cost.
Signals typically charges per engaged conversation per month. Exact pricing depends on expected volume and refundable pilot scope, which is why we usually scope pricing and ROI together in the demo.
We separate support and customer-initiated conversations from optional unsolicited marketing. When marketing is enabled, we gate brand-initiated sends by channel, consent state, and restricted-state signals, honor STOP-style and natural-language opt-outs, and maintain an active SOC 2 program. See our compliance page and security page.
Scope a measured lifecycle pilot for your store. Most teams can connect Text Us, post-delivery outreach, review workflows, and measurement within the first week.