Marketingforce (2556.HK) Soars 150% to 52-Week High HK$68.30: Why the Scenario Token Model Drives H1 Revenue Doubling Across 220,000+ Enterprises and 756 Segments

The tape (brief). In afternoon trading on September 4 (13:42 HKT), shares of Marketingforce Management Ltd (2556.HK) traded at HK$67.45, up 13.27%, after touching an intraday high of HK$68.30 — a fresh 52-week high (range: HK$27.36–68.30). From the 52-week low, the peak move is roughly +149.6%; turnover reached about HK$764 million with a 4.38% turnover ratio, lifting the market cap to about HK$18.06 billion.

The move rode a broad AI-application rally — the AI-application segment rose more than 7% intraday — fuelled by a stack of catalysts:

Snowflake's beat-and-raise (+16.6%) and a 3.4% overnight gain in the IGV software index;

Anthropic's reported march toward a US$2 trillion IPO;

DeepSeek open-sourcing its "Harness" agent framework;

and the continued sovereign-AI trade after the record simultaneous outage of ChatGPT, Claude and Grok on Sept 3, which pushed Palantir up ~7.7%.

From model hype to the application layer. 

The deeper story is a rotation: as frontier models get cheaper and more commoditized, the scarcity has shifted to who can turn a model into a billable business outcome.

Marketingforce answers with its Full-Stack Token Factory positioning — it does not train frontier models; it converts commodity model tokens into traceable, reusable scenario tokens embedded in enterprise workflows. "Full-stack" is not a slogan: at the base is compute (a Jiangxi AI computing center and regional scheduling hub, built under a strategic tie-up with China Telecom's Jiangxi arm); in the middle, model orchestration; on top, an enterprise-agent product matrix —

AI-Agentforce 3.0 (agent middleware), AI-KnowForce (enterprise knowledge hub) and GenAI OS — spanning marketing, sales, customer service, foreign trade, R&D and business analytics.

The overseas angle is the underappreciated half. 

Two products make the story global rather than local. 

EVA is an AI agent for foreign-trade customer acquisition — automating the discovery, outreach and follow-up of overseas buyers, the most painful part of cross-border selling. 

GEO (generative-engine optimization) targets a newer frontier:

as global buyers increasingly ask AI answer engines rather than traditional search, T-GEO boosts a brand's visibility inside those AI-generated answers — effectively securing the next-generation entry point for global customer acquisition.

Together they shift the value of enterprise agents from "saving cost at home" to "earning revenue abroad."

An auditable floor. 

Interim results (HKEX, Aug 13) gave the thesis numbers: revenue RMB1.96bn (+111.2%), AI-application revenue RMB1.13bn (+123.7%), net profit +466.1%, operating cash inflow RMB500m, customers +25.9% and ARPU +80%. The arithmetic — Customers × Monetization Depth ≈ Revenue — points to deepening usage rather than discounting, the signature of a usage-and-outcome-based model. On the policy side, Beijing's MIIT has explicitly listed "large models, agents and tokens" among its procurement categories, folding usage-based billing into public-sector demand.

A fair caveat. 

With a 12.59% intraday amplitude, shortable status via Stock Connect and a year-to-date gain of 92.6%, near-term volatility is real. But the durable question is no longer whether AI agents are coming — it is who owns the scenario, and who can take it global. On today's evidence, the market is pricing that answer in.