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AI improvement suggestions

AI generates improvement suggestions based on actual measurements and page content.All a person needs to do is review and decide whether to approve or pass.Track results after implementation.

AI improvement suggestion screen

To achieve CRO results, a continuous improvement cycle is necessary, but repeatedly going through "measure → analyze → hypothesize → implement → test" each time increases the workload on the person in charge, and it is not uncommon to find that improvements have stalled for months before you realize it.Creative Drive CRO's AI improvement suggestions automatically generate improvement proposals by combining actual measurement data with page content, and the entire process—from approval to application on the live page—is completed seamlessly, significantly reducing the cognitive burden on team members.

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What you can do

How it works

Creative Drive CRO's AI improvement suggestions are automatically generated by AI that analyzes actual measured data (exit rate, read-through rate, CTA reach rate, and session count) in combination with page content, producing evidence-based improvement proposals.The generated suggestions are presented in the format of "which page," "which section," "why it should be changed," and "how to change it (with 3 copy variations)."The person in charge simply chooses to approve or pass, and approved proposals are instantly applied to the live page through the live page editing feature.By configuring scheduled execution, you can automate the creation and notification of weekly and monthly improvement suggestions.Dismissed suggestions are recorded as training data, which helps prevent similar suggestions from being repeated.

Use it in situations like this

AI automatically suggests copy revisions for sections with high drop-off rates

Based on actual measurements such as scrolling stopping at specific sections or users not reaching the CTA, AI generates 3 patterns of copy improvement suggestions.The person in charge simply decides which one to adopt, and approving it will reflect it on the actual page.

Automatically apply settled A/B tests to the winning variant

When the AI improvement suggestion detects an A/B test conclusion, a "Merge into winning variant" suggestion is automatically created.The person in charge only needs to approve, and the test will end, applying the winning variant to all visitors.You don't need to check the dashboard every day.

Receive weekly/monthly improvement suggestions in report format

By setting up scheduled execution, the AI will automatically generate improvement proposals and send notifications.Prevent the situation where "improvement ideas pile up but you can't get to them," and maintain your CRO improvement cycle with just one approval session per week.

Getting started

01

Install measurement tags and build a track record

After placing the measurement tag, real measured data that AI can use as the basis for improvements will accumulate.Typically, with 2–4 weeks of data, the first improvement suggestions will be generated.

02

Set design rules

Set prohibited words, annotation accompanying appeals, and brand tone in the management screen.Because AI generates wording in compliance with these rules, it prevents terms that require review before approval from appearing.

03

AI automatically generates improvement suggestions

AI generates improvement suggestions based on actual measurement data.Proposals are presented with rationale and changes together, such as "Proposal to change the heading due to high drop-off in this section" and "A/B conclusion: Appeal A shows +12% higher CV."

04

Review the proposal and choose to approve or decline

Review the content from the proposal list and select "Approve" if you wish to adopt it.You can also edit the text before approving it.If you decide not to proceed, you can record the reason.

05

Approved proposals are automatically reflected in production

Upon approval, the live page editor launches and the diff is immediately applied to the target page.After implementation, performance data will continue to be measured and used as the basis for the next improvement suggestions.

FAQ

What basis does the AI use to generate improvement suggestions?
Analyzes actual measured metrics such as bounce rate, read completion rate, and CTA reach rate in combination with page copy and structure.Improvement suggestions are presented with specific evidence such as "many users are dropping off at this section" and "readers are stopping just before the CTA."
Do I have to approve all AI suggestions?
No.You can choose to approve or pass on each project.Rejected proposals are saved as records and used for learning to prevent similar suggestions from being made again.
Can I use the AI-generated text as-is?
Generates text while adhering to the configured design rules (prohibited words and appeal rules).You can also review and edit the content before approving.

Related features

WEB customer engagement targetingChange by entry page, traffic source, visit count, region, and device.Edit Live PageOnly the differences will be applied on top of the existing site.A/B and MultivariateView wins and losses for each proposal, before and after editing.

You can try it with your current site as-is

You can start by placing a single line of tag.

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