Purpose
Moshi is a conversational AI sales agent designed for a new type of advertising. It shifts the click behavior of ads from traditional link redirects to direct message (DM) conversations, so that every click opens a DM that can automatically sell and continuously follow up, thereby turning high-performing ads into real-time sales conversations.
Main Capabilities
- Conversational selling and follow-up: Every click opens a DM, and Moshi completes the sale and follow-up within the conversation, without the need for immediate human response.
- Multi-platform support: Supports Instagram direct messages, iMessage, and RCS.
- Conversion path optimization: Replaces the ad call to action from "link click" with "DM subscription," with Moshi handling the subsequent conversation.
- Automated customer profile enrichment: Automatically enriches customer information across all channels, building customer profiles based on real conversations, including names, preferences, and intent, rather than guesses.
- Cart recovery: Follows up with customers who abandoned their carts via DM instead of email.
- Data integration: Every conversation is a first-party data point that can enrich customer profiles across platforms such as Shopify, Klaviyo, and HubSpot, and improve targeting on Meta.
- Performance attribution: Offers usage-based pricing with performance attribution.
How to Use
- Start for free and pay only when Moshi generates real revenue (flat fee + 5% performance fee).
- Offers Shopify integration, Meta integration, and unified commerce protocol setup.
- Paid plans include advanced analytics, Claude Cowork connection (MCP), custom AI personality training, and priority support.
- No 24-hour reply window restriction; native iMessage requires no app installation.
Use Cases
- Marketers who want to turn ad clicks into direct message conversations.
- E-commerce businesses, especially Shopify brands, for cart recovery and customer profile enrichment.
- Teams that need automated sales follow-up and cross-channel customer data integration.
Limitations
The materials do not provide complete details on platform compatibility, specific pricing amounts, performance data, or usage thresholds.
