# Signals > LLM discovery file with direct links and full Signals summary markdown content. > For the complete content of every page, see: https://www.returnsignals.com/llms-full.txt ## Key Docs - Signals summary (Markdown): https://www.returnsignals.com/index.md - Blog: https://www.returnsignals.com/blog - Messaging Compliance (Markdown): https://www.returnsignals.com/compliance.md - Privacy Policy (Markdown): https://www.returnsignals.com/privacy.md - Security (Markdown): https://www.returnsignals.com/security.md - Terms of Service (Markdown): https://www.returnsignals.com/terms.md ## Full Signals Markdown (index.md) # Signals > The AI store associate for every customer, over iMessage. Signals starts a personal, one-to-one conversation with every customer after delivery, helping them find what to buy next while giving them the same high-quality support they’d expect from your best store associate. Signals creates iMessages that convert users and keep them coming back. The AI agent uses a brand's catalog and policies to answer like the best associate, helping users choose with confidence before checkout and following up after delivery to bring customers back. The main value is additional revenue for DTC brands: helping new customers buy by answering the questions that block checkout, then increasing LTV from existing customers through cross-sell, reorder, subscription-save, and repeat-purchase conversations. Signals is backed by Y Combinator and is live with multiple apparel, cosmetics, and pet food brands. ## What Signals Does Signals is a lifecycle conversation platform for ecommerce brands. Shoppers can text before they buy, customers can reply after delivery, and the same two-way iMessage/SMS/RCS thread turns uncertainty into checkout confidence, exchanges, repeat purchases, product feedback, and customer intelligence. Signals is strongest for brands where the customer receives a physical good, customer LTV is above $100, and there is a natural repeat-purchase, replenishment, or cross-sell opportunity. ## Product Promise - persistent channel - 51% more repeat purchases - Integrates with your stack Signals supports common customer conversations before purchase, after delivery, during support moments, and before the next order: 1. **Pre-purchase fit** - A shopper is between sizes. Signals uses product and policy context to recommend the right choice, answer exchange and return confidence questions, and keep the thread open after delivery. 2. **Contextual cross-sell** - A post-delivery care question becomes a confident next purchase. Signals recommends the right related product, answers variant and size questions, and can assist checkout with saved customer context. 3. **Subscription save** - A customer is unsure whether a pet food product is working. Signals gives transition guidance, detects churn risk or buying intent, and moves the customer toward a better plan or replenishment path. ## Integrations Signals integrates with iMessage, RCS/SMS, WhatsApp, Shopify, Gorgias, Listrak, EasyPost, Slack, and 50+ other commerce and support systems. Signals can work alongside the systems brands already use: - SMS marketing tools keep running broadcasts, flows, and list growth. - Helpdesks can remain systems of record for escalations and complex cases. - Return portals can remain operational backends for logistics and policy workflows. - Signals can also own the customer-facing support and returns experience directly in the thread. - Signals becomes the relationship layer that starts and continues the one-to-one customer thread from first question to repeat order. ## From First Question To Repeat Order Signals keeps one iMessage conversation between shopper and brand open across the moments that decide sales, support, and repeat revenue. 1. **Question** - Shoppers text Signals product questions that help them make a buying decision. 2. **Order** - New orders can be made through Signals threads, and existing orders get support. 3. **Delivery** - Signals checks in with customers after delivery to make sure they have an excellent experience. 4. **Next purchase** - Signals continues building relationships with customers, cross-selling, and driving repeat revenue. ## Eight Campaigns Signals keeps the before-purchase and after-delivery moments connected, so sales, support, returns, and retention do not become separate workflows. ### Before Purchase: Inbound Text Us Answer the questions that decide whether a shopper buys now or leaves. - **Fit and size concierge** - Trigger: a shopper is between sizes. Outcome: use product, order, and policy context to recommend the confident choice. - **Product matching** - Trigger: a shopper asks what goes with what. Outcome: turn styling, bundle, and comparison questions into assisted revenue. - **Availability and restock** - Trigger: a desired variant is sold out. Outcome: suggest in-stock alternatives or capture restock intent in the same thread. - **Shipping and policy confidence** - Trigger: the blocker is operational. Outcome: answer delivery, exchange, return, and gift questions before checkout. ### After Delivery: Outbound Concierge Follow up when the customer has the product and the next signal is strongest. - **Delivery check-in** - Trigger: the box arrives. Outcome: ask how the product is working, collect feedback, and keep the thread alive. - **Exchange rescue** - Trigger: fit, color, or expectation is off. Outcome: recommend available alternatives before the customer disappears into a return portal. - **Contextual cross-sell** - Trigger: a customer says what they need next. Outcome: suggest the right product from the live catalog with purchase context in hand. - **Replenishment and save** - Trigger: usage, cadence, or churn risk appears. Outcome: turn product experience into reorder timing, subscription changes, or a better plan. ### System Principles - **Shared context** - Pre-purchase and post-delivery playbooks use the same customer context. - **Human handoff** - Unusual conversations escalate without losing thread history. - **Measurement** - Revenue, support outcomes, and customer requests stay tied to the conversations that created them. ## Case Study Quaker Marine used Signals to turn post-delivery check-ins into 51% more repeat purchases among customers who replied. In a randomized experiment across 1,910 customers: - Treatment customers repurchased 16% more often within 3 weeks. - Customers reached through iMessage and RCS replied at about 58%. - Customers who engaged in conversation had 51% higher repeat purchase rates than the control group. Kevin McLaughlin, owner of Quaker Marine Supply Co., said: "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." Read case studies: /blog/tag/case-study ## One Thread For Sales, Support, And Returns Signals is built for the one-to-one buyer conversation: answering questions, resolving support issues, managing returns and exchanges, and handing off to existing systems when that is what the team wants. | Dimension | Your stack today | With Signals | | ----------------------- | --------------------------------------------------------------------------- | -------------------------------------------------------------------------------- | | How it starts | Campaign calendar, support ticket, or portal visit | A customer texts, or Signals checks in when the moment matters | | When it shows up | Before purchase as a promotion, or after the customer has already escalated | Before checkout, after delivery, during an exchange, and before the next order | | What the customer feels | A broadcast, ticket queue, or self-serve workflow | A personal thread that works whether they reply now or six hours later | | What your team learns | Clicks, tickets, return reasons, and campaign attribution | Fit blockers, product confusion, sales intent, issue context, and reorder timing | | Where it resolves | Across disconnected tools | In conversation first, with handoff to the right system when needed | ## Operating Surface Signals lets teams manage every buyer question in one operating surface. Most inbound and post-delivery conversations resolve fully with AI. When something unusual appears, it escalates to a human in the same thread, and the team can step in without losing context. Conversation states include automated, escalated, and blocked. ## Frequently Asked Questions ### How often do customers text Signals? Signals sees 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. ### How does Signals drive repeat purchases? 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. ### What kind of revenue impact should we expect? Results vary by brand, but typical outcomes include more new-customer purchases from answered questions, 50%+ repeat purchase lift among engaged customers, 4-6x higher conversion than other text campaigns, and measurable cross-sell and upsell revenue. The goal is to prove about 10x ROI through a refundable 4-week pilot that runs as a randomized control trial. ### Who is Signals built for? Signals is built for DTC brands and ecommerce companies that want to turn one-time buyers into repeat customers. It is best for brands selling physical products with natural reorder or cross-sell opportunities. It is not a fit for teams looking for a bulk SMS marketing tool. ### How is this different from email or SMS marketing? Marketing campaigns broadcast offers to a list. Signals starts one-to-one conversations with customers at the moment they are most engaged. 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. ### Why iMessage instead of email or app notifications? iMessage is where customers already have real conversations. Messages are read in minutes, customers can reply instantly, share photos, and pick up the thread later. There is no app to install and no inbox to compete with. ### Does proactive outreach feel spammy to customers? 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. ### How does Signals handle subscription retention? Signals detects early churn signals like product buildup, skipped orders, or dissatisfaction during post-purchase conversations. Instead of waiting for a cancellation, it can adjust delivery frequency, offer alternatives, or resolve issues before the subscription is lost. ### How long does it take to see results? Setup can take 10-20 minutes total when access is ready, because Signals lives on top of the customer stack instead of replacing it. The refundable pilot then runs as a 4-week randomized control trial 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. ### What integrations do you support? Signals integrates with Shopify, Gorgias, Listrak, Slack, and 50+ other platforms. It lives on top of the stack the brand already uses, so helpdesks, return portals, SMS marketing tools, and commerce systems can stay in place. Brands provide access to the commerce platform and an escalation path for support. Signals handles the rest. ### How do you measure business impact? Every pilot is refundable and includes a randomized control test with a holdout group. Signals measures incremental new-customer conversion, revenue per customer, cross-sell conversion, repeat purchase rate, and subscription retention by comparing Signals-engaged customers against the control. Signals typically charges per engaged conversation per month, so ROI is measured against actual conversation volume and cost. ### How is pricing structured? Signals typically charges per engaged conversation per month. Exact pricing depends on expected volume and refundable pilot scope, which is why pricing and ROI are usually scoped together in the demo. ### How do you handle security and compliance? Signals separates support and customer-initiated conversations from optional unsolicited marketing. When marketing is enabled, Signals gates brand-initiated sends by channel, consent state, and restricted-state signals, honors STOP-style and natural-language opt-outs, and maintains an active SOC 2 program. See /compliance and /security. ## From Our Blog - [What apparel retailers learn when customers can text back after delivery](/blog/what-apparel-retailers-learn-post-delivery-texts.md) - [Memory turns a post-delivery text thread into a revenue channel](/blog/memory-post-delivery-revenue-channel.md) - [How Quaker Marine turned post-delivery check-ins into 51% more repeat purchases with Signals](/blog/quaker-marine-case-study.md) - [Post-Purchase Concierge vs SMS Marketing, Helpdesks, and Return Portals](/blog/ecomm-cx-marketing-return-platforms.md) - [Best Texting Services for Ecommerce Apparel (2026)](/blog/best-apparel-texting-services-2026.md) - [Best Customer Support Platforms for Ecommerce Apparel (2026)](/blog/best-apparel-customer-support-platforms-2026.md) - [Best Return Portals for Ecommerce Apparel (2026)](/blog/best-apparel-return-portals-2026.md) - [The End of Reactive Support](/blog/return-starts-before-return.md) - [SMS CX Shouldn't Be NoReply](/blog/sms-cx-shouldnt-be-noreply.md) - [View all posts](https://www.returnsignals.com/blog) ## Ready To Engage Your Customers? Find out what customers say when you actually ask. 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. - [Book a Demo](https://cal.com/alejandro-zaniolo/30min?overlayCalendar=true) ## Key Links - Website: https://www.returnsignals.com - Blog: https://www.returnsignals.com/blog - Book a Demo: https://cal.com/alejandro-zaniolo/30min?overlayCalendar=true - Compliance: https://www.returnsignals.com/compliance - Security: https://www.returnsignals.com/security - Email: hello@returnsignals.com ## Legal - [Messaging Compliance](/compliance.md) - [Privacy Policy](/privacy.md) - [Security](/security.md) - [Terms of Service](/terms.md)