Yiwang Yichuang to Acquire AI Marketing Firm Lianshi Chuanqi - What Marketers Should Know
Yiwang Yichuang (300792.SZ) plans to acquire 100% of Beijing Lianshi Chuanqi Network Technology Co., Ltd. to strengthen its AI-driven intelligent marketing stack. The deal will be a mix of stock issuance and cash, with additional shares issued to no more than 35 specific investors to raise supporting funds. Audits and valuation are still in progress, so the final price isn't set.
Why this matters
Lianshi Chuanqi runs full-domain intelligent marketing services built on AI-strategy, content production, precision media buying, and effect attribution. For related approaches and tactics, see AI for Marketing. Yiwang Yichuang says the acquisition could save large R&D outlays and 3-5 years of trial-and-error - a fast track to more mature ad tech and services across e-commerce channels.
Client expectations have shifted. Broad reach isn't enough; marketers want rapid iteration, traceability, and ROI. Traditional, rule-based buying led by manual expertise struggles across multi-platform, high-frequency environments. This move is a direct response to that pressure.
The current gap - and how this fills it
- Where Yiwang Yichuang is today: They've deployed AI Agents across data, design, and customer service, but their AI-driven placement system is still early. They note gaps in algorithm depth, product stability, cross-platform compatibility, and commercial maturity.
- What Lianshi Chuanqi brings: A more mature algorithm engine, complete engineering architecture, and an AI R&D and ops team. The aim is to share R&D, combine customer resources, and accelerate intelligent placement capabilities - especially in vertical ad buying.
Deal specifics (as disclosed)
- Acquiring 100% equity from five counterparties via stock and cash.
- Issuing additional shares to up to 35 specific investors to raise complementary funds.
- Auditing and valuation not yet complete; pricing to be determined.
Performance outlook
The company expects 2025 net profit of RMB 92-120 million, up 21.10%-57.32% year over year. Management ties this to AI-driven productivity gains, collaborative work with platforms like Alibaba on AI Agents, a light-asset approach, and business structure optimization. They also expect the revenue scale and client count of their AI vertical applications in 2026 to grow versus 2025.
Risks called out
- Dependence on policies and interfaces of major e-commerce media platforms.
- Algorithms may underperform vs. expectations.
- Fast technology iteration can outdate current approaches.
What this means for marketers
- Faster test-and-learn cycles: Expect more rapid creative and audience iteration with tighter feedback loops.
- Cross-platform orchestration: Better budget pacing and bid logic across multiple e-commerce channels, if the integration lands as planned.
- Attribution and measurement: More emphasis on effect attribution may improve decision quality - ask for model transparency and validation.
- Vertical expertise: Deeper playbooks for category-specific buying (e.g., beauty, electronics) with AI-supported tactics.
Practical steps to take now
- Ask current and prospective partners about their algorithm engine maturity, cross-platform support, expected uplift vs. spend, and model governance.
- Pressure-test their resilience to API or policy shifts from major platforms and their rollout speed for new features.
- Stand up a creative pipeline for high-frequency testing: multiple variants, quicker revision cycles, and clear kill/scale rules.
- Tighten first-party data collection and consent frameworks to improve targeting and measurement durability.
- Upskill your team on AI-driven workflows for media, analytics, and content. If you need a structured path, see the AI Learning Path for Business Unit Managers.
Bottom line
If the acquisition goes through on the terms outlined, Yiwang Yichuang could compress its timeline to a more capable AI-driven placement stack. For marketers, that likely means faster experimentation, stronger cross-channel execution, and clearer attribution - provided the risks around platforms, algorithms, and shipping velocity are managed well.
Note: The transaction is subject to audit, valuation, and final agreement; terms may change.
Disclaimer: This content is for informational purposes only and does not constitute investment advice.
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