Redefining AI-Driven LPO: Ptmind and Hakuhodo DY ONE Launch Joint Development of LPO Solutions

Ptmind Inc. (Headquarters: Shinjuku-ku, Tokyo; CEO: Yuan Zheng (Robin Zheng); hereinafter "Ptmind") has entered into a co-creation partnership with Hakuhodo DY ONE Inc. (Headquarters: Minato-ku, Tokyo; President & CEO: Hiroaki Kitakuba; hereinafter "Hakuhodo DY ONE") in the field of Landing Page Optimization (LPO).

Under this collaboration, the two companies will jointly develop an AI-driven LPO solution that integrates analysis, creation, implementation, and validation. The core of this solution will be new AI-powered features being introduced to Ptmind’s web analytics and optimization platform, "Ptengine" — namely, "Page Studio (provisional name)," responsible for LP creation, publication, and measurement, and "PT AI Insight (provisional name)," responsible for behavioral data analysis. Ptmind is providing Hakuhodo DY ONE with early access to these cutting-edge AI features, and joint solutions are already being deployed across multiple real client projects.

## Background: Evolving LPO Needs in the AI Era

With the arrival of the AI era, the roles and requirements businesses expect from landing pages (LPs) are undergoing significant transformation. As generative AI becomes widespread, the pathways through which users access information and the experiences expected from web pages are rapidly changing. Simply producing LPs and creatives "quickly and in large volumes" is no longer a sufficient differentiator. What businesses are now being asked is how effectively and efficiently they can deliver LPs tailored to each individual user.

To continuously deliver such personalized LPs, an operation framework rooted in user behavioral data is essential. However, in many organizations, while behavioral data is being collected, it is not being fully leveraged for continuous improvement decisions.

Fragmentation across the LPO process — from analysis to implementation — and the lack of reproducible, standardized operations have become common industry challenges. There is a growing need to integrate these cycles through proper use of data and AI, establishing a new, unified operational foundation.

## Objectives of the Collaboration

The collaboration aims to co-create a new LPO operational framework for the AI era, positioning it as a scalable foundation to support sustainable business growth. Through this partnership, the companies aim to achieve the following:

### Uncovering Granular Insights Beyond Human Capability and Applying Them to LP and Site Optimization

With the diversification of traffic channels and the proliferation of generative AI, user information-seeking behaviors and attitudes are rapidly evolving. In this collaboration, AI models pre-trained on company-specific data will analyze the vast behavioral datasets accumulated by Ptengine over 15 years from more than 200,000 companies worldwide, in real time. This enables the continuous extraction of new insights that capture shifting user attitudes. As a result, businesses can continuously generate optimization hypotheses aligned with users’ current behaviors.

### Achieving Continuous Performance Improvement Through AI-Driven, High-Precision, High-Speed LPO Frameworks

The traditionally manual, fragmented processes of "analysis, creation, implementation, and validation" will be unified and accelerated through AI. At the core are Ptengine’s new AI features — "Page Studio (provisional)" for LP creation and publication, and "PT AI Insight (provisional)" for behavioral data analysis.

Furthermore, by layering Hakuhodo DY Group’s unique consumer-centric perspective onto Ptengine’s behavioral data, the collaboration will continuously generate optimization hypotheses that directly drive business outcomes — insights that generic LLMs alone cannot achieve. By integrating the entire improvement cycle into a single operational workflow, LPs will evolve from one-off campaigns into engines that continuously drive business growth.

### Optimizing LPs Based on Traffic Channels, User Behaviors, and Attitudes to Deliver Seamless, Mismatch-Free UX

The collaboration aims to deliver solutions that automatically generate the optimal LP for each combination of traffic channel, context, and user attitude. By simultaneously achieving personalization tailored to individual users and LP designs optimized for diverse traffic sources and web experiences, the solution will empower businesses to consistently deliver the most suitable user experience to each visitor.

## Key Collaboration Components

### Joint Development Initiated Through Early Access to Latest AI Features

Ptmind is granting Hakuhodo DY ONE early access to its latest AI features under development. Insights and feedback gathered from real-world implementation by Hakuhodo DY ONE will be continuously incorporated into Ptmind’s product development, enabling the AI-driven LPO solution to be refined ahead of the industry and evolve into a suite of features directly tied to client success.

### Co-Development and Delivery of an AI and Behavioral Data-Based LPO Solution

The two companies will jointly develop and deliver an AI-driven LPO solution by combining Ptmind’s behavioral data accumulated through "Ptengine" and its new AI features — centered on "Page Studio (provisional)" and "PT AI Insight (provisional)" — with Hakuhodo DY ONE’s LP operational expertise and Hakuhodo DY Group’s consumer-centric philosophy. By embedding business context grounded in consumer understanding into the high-speed, high-precision LPO cycle, the partnership will establish a unique optimization approach only possible through this collaboration.

### Real-Client Validation and Establishment of a Product Enhancement Cycle

The two companies have already begun delivering the joint solution to multiple real client projects managed by Hakuhodo DY ONE. Operational and optimization insights gained from these deployments will be fed back in real time to Ptmind’s product development. By continuously iterating through cycles of validation and refinement, the AI-driven LPO solution will be further enhanced.

## Product Overview

The core AI features of this collaboration will be integrated into Ptengine as new functionalities.

By linking "Page Studio (provisional)," which handles LP creation, publication, and measurement on Ptengine’s behavioral data foundation, with "PT AI Insight (provisional)," which performs subsequent behavioral data analysis, the solution creates an end-to-end operational framework that seamlessly connects "creation" and "understanding."

### Page Studio (Provisional)

An AI-driven LPO feature from Ptengine that transforms LPs into "engines that continuously generate growth."

By integrating the LPO workflow and initiating LP creation from behavioral data analysis within Ptengine, businesses can publish high-performing LPs on the same day. Data and AI will automatically drive the operational cycle forward.

#### Current Features

- Instant LP generation and publication from design files: Import designs directly into Page Studio, make no-code adjustments, and publish on the same day. Custom domains and SSL setup with one click
- Automatic tracking of all events: Without manual tagging, automatically detect and collect on-page actions such as clicks, form submissions, and scrolls. Measurement begins from day one
- Future enhancements will include end-to-end A/B test management and AI-powered LP optimization linked with advertising and brand data