Digital Human Live Streaming Marketing Agent Full-Service Solution

📌 Background

In 2026, AI marketing agents transitioned from isolated tools to scaled delivery. Jisi Technology deployed digital human live streaming marketing agents to serve global brands, cumulatively driving 6 billion RMB in GMV, making it a benchmark case for marketing content shifting from 'using AI' to 'managing AI.' Advertiser budgets continue to shift toward measurable performance, and material iteration speed and attribution capability determine client retention. Teams capable of crystallizing traffic acquisition methodology into data assets and product features—operating figures in the text are based on company financial reports and official disclosures, and merchant metrics have not been independently reviewed.

👤 Target Customers

Brand merchants, e-commerce sellers, and local lifestyle merchants seeking 24/7 non-stop live streaming; requests are mostly initiated by the e-commerce business line, with joint selection and signing by live streaming operations and technology. Initial contracts frequently start with single-store pilots, and expansion to full stores is subject to renewal terms (contract scale unverified).

💰 Revenue Streams

1) Revenue consists of three parts: commission based on live streaming GMV, monthly technical service fees, and customized agent development fees; 2) Peer replication: migrating live streaming agent solutions to similar merchants, charging per-project deployment and training fees (an opportunity item with no public revenue volume figures); 3) Note: Overlapping with item ②, deployment and training fees for reusing solutions among similar merchants remain opportunity items, and specific collection amounts have not been publicly disclosed.

🧮 Cost Structure

Digital human R&D, cloud computing power, live streaming operations, and customer service labor form the foundation. The most significant fluctuations come from computing power and floor-control labor driven by broadcast sessions, which are amortized session by session based on the number of contracted live streaming rooms and average duration per session.

🛡️ Moat

GMV data and global brand cases brought by scaled deployment form industry know-how and a data flywheel, representing a data-accumulation-type barrier.

🔑 Keys to Success

• Enhance digital human realism and interactivity
• Optimize live streaming conversion rates and client ROI
• Strictly adhere to platform compliance and content safety

⚠️ Risks

• Traffic damage caused by platform algorithm or policy changes
• Client GMV performance fluctuations affecting renewals
• Technical pathways being replaced by major tech products

🏢 Cases

• 集思科技

📊 SWOT Analysis