Based on Ad Operations Proof, AXer Adds and Offers Search Ad Appeal Analysis Function

AiTrigger Inc. has added a search ad appeal analysis function to its marketing AX support service "AXer" and will begin offering it to companies with similar challenges from June 2026. This function was developed and verified by reviewing the process of manually analyzing high-performing keywords, headlines, and descriptions in our own ad operations work to devise the next steps. It is aimed at companies and in-house managers operating search ads, deciphering "effective appeals" from operational data and indicating the next course of action. This initiative aims to expand the practice of marketing AX, which transforms operations themselves based on each company's unique marketing challenges, to the field of ad operations.

Why Transform "Appeal Analysis"?

The performance of search ads varies greatly depending on which keywords are matched with which headlines and descriptions. Previously, in AiTrigger's ad operations, operators would extract data from the management screen, check high-performing keywords, headlines, and descriptions one by one, and then consider the next steps.

The quality of judgment is easily influenced by the operator's experience, and the time spent on analysis cannot be ignored. Especially for products such as language and English conversation learning, where the consideration period is long and the differentiation of appeals significantly impacts results, the quality and speed of this "reading and thinking" process directly translate into operational performance.

Ad operations are not just about delivery; they are a cycle of "reading results, creating the next appeal, and repeating." If the core process remains manual, the speed of improvement will plateau based on the operator's workload. AiTrigger identified this issue in its own operations and developed and verified a system for structuring analysis and the creation of next ideas. After implementing and starting operations in its own business, it has been refined as a new offering for AXer.

Incorporating "Reading Results and Taking the Next Step" into Operations

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Marketing AX is not about introducing tools, but about transforming operations themselves with AI. This time, rather than adding more analysis tools, the goal was to transform the operational flow of "reading and thinking" by the operator.

In actual operations, the following changes will occur:

1. "Searching for high-performing appeals" changes from manual work to automatic reading.

When Google Search Ads data is imported, high-performing keywords, headlines, and descriptions are automatically extracted. The time operators spent manually searching across management screens is now spent on receiving results and making judgments.

2. "What to try next" changes from a blank slate to a task with a starting point.

Based on the trends of effective appeals, suggested ad ideas for the next step are presented. Operators can start by refining and polishing these ideas rather than thinking from scratch.

3. Judgments that "vary by person" are placed on a common foundation.

By standardizing the perspectives for analysis and next-idea creation, it becomes less dependent on differences in operator experience. Intuitive insights that were previously individualized become closer to something that can be reproduced by a team.

This function is not offered as a standalone SaaS tool. It will be implemented as part of the resources (people, tools, know-how) provided by AXer, tailored to each company's operational structure. As it handles ad operation data, its implementation will be designed according to each company's environment and rules. Inquiries for implementation are accepted through the service page.

Proof of Transforming Operations, Not Just a Single Function

This is not about adding another analysis tool, but about demonstrating a design that transforms the ad operations workflow of "reading, thinking, and repeating" with AI. AXer is an execution resource for marketing AX that designs, builds, and operates the workflow itself by combining people, tools, and know-how. The flow shifts from people extracting data, analyzing it, and thinking of the next idea, to AI reading it and indicating the next step.

Operators will be able to spend more time on judgment and decision-making. AiTrigger will use its own operational proof as a template to begin offering this resource to companies, starting with language learning companies, that face similar challenges. It is not a finished package but will be reconfigured to match each company's operational challenges. Consultations can begin from the stage of organizing challenges.

AXer Service Page

https://aitrigger.co.jp/service/axer/

AiTrigger Inc.

Head Office: 16F, D Tower Nishishinjuku, 6-11-3 Nishishinjuku, Shinjuku-ku, Tokyo

Business Activities: Digital marketing support (performance advertising, in-house support), marketing resource provision (MRM), marketing AX business

URL: https://aitrigger.co.jp/