Return Signals
Also known as: Signals
Proactive post-purchase concierge for DTC brands that runs a one-to-one iMessage and SMS thread to answer questions, catch fit issues, and convert return intent into exchanges.
Return Signals, marketed as Signals (returnsignals.com), is a proactive post-purchase concierge for direct-to-consumer brands. It turns customer questions and post-delivery check-ins into a single one-to-one iMessage or SMS thread that recommends, reassures, and keeps customers coming back, catching fit and quality issues before they turn into returns and converting return intent into exchanges. Most inbound and post-delivery conversations resolve with the agent, escalating to a human in the same thread when something unusual appears, and a backend agentic search grounds recommendations in product, order, and policy context. It connects to Shopify, Gorgias, Gladly, Loop, Redo, Listrak, EasyPost, and Slack, and runs every pilot as a refundable A/B test against a holdout. As an early Y Combinator-backed product it is treated at low confidence.
Vendor details
Canonical URL
https://www.returnsignals.com
Category
Customer support agent
Funding status
Private, early stage. Y Combinator-backed, building a proactive post-purchase concierge for direct-to-consumer brands.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Connects to Shopify, Gorgias, Gladly, Loop, Redo, Listrak, EasyPost, and Slack, living on top of the merchant's existing helpdesk, return portal, SMS, and commerce systems.
Sources & related URLs
Research sources
Capability coverage
4.0 / 14 capabilities · 29%
| Integrations & Tool CallingConnects to Shopify, Gorgias, Gladly, Loop, Redo, Listrak, EasyPost, and Slack, living on top of the merchant's existing commerce and support stack. | Partial |
|---|---|
| Workflow OrchestrationRuns a proactive post-purchase concierge flow that checks in, handles intent, and recommends exchanges in a single thread. | Partial |
| Knowledge Grounding & RAGBackend agentic search over product, order, and policy context grounds recommendations; formal RAG not documented. | Partial |
| Human Oversight & GuardrailsUnusual cases escalate to a human in the same thread so the team can step in; granular approval gates not documented. | Partial |
| Security, Identity & GovernanceNo enterprise security, identity, or governance features documented as first-class. | Unable to verify |
| Observability & AuditabilityRuns as an A/B test against a holdout and reports incremental conversion and revenue metrics; no formal agent audit log documented. | Partial |
| Memory & State PersistenceConversation history and customer purchase context persist within the thread. | Partial |
| Deployment & Data ResidencySaaS only; no self-host or options documented. | Unable to verify |
| Prebuilt Agents / Templates / PacksA single post-purchase concierge use case; no library of prebuilt agents or templates documented. | Unable to verify |
| Triggers & Channel CoverageProactively initiates outbound iMessage and SMS check-ins timed to delivery and post-purchase moments. | Full |
| Model Flexibility & RoutingNo model flexibility or routing documented. | Unable to verify |
| APIs / SDKs / MCP ExtensibilityNo public API, SDK, or MCP extensibility documented. | Unable to verify |
| Testing, Debugging & OptimizationNo agent testing or optimization tooling documented. | Unable to verify |
| Browser / Computer-useNo browser or computer-use capability documented. | Unable to verify |
Recent platform changes
No recent material changes tracked yet.
Pricing
No public list price; charged per engaged conversation per month
conversations
Variable cost rationale
Charged per engaged conversation per month, so cost scales directly with conversation volume rather than a fixed subscription.
Sales call required
Yes — required for paid access
Free / trial
Refundable pilot
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