『UriNavi』
『UriNavi』
EC事業者の販売戦略をサポートするために開発
されたデータドリブン型販売最適化ツールです。
売上を伸ばすヒントは、すべてデータの中に！
POINT
Automatic analysis of text information
Automatically register optimal tags
Fully compatible with Rakuten Market
It extracts necessary information from text such as product names, catch phrases, variation items, and options, and automatically registers tag information that is essential for increasing the hit rate of product searches on online shops. Compatible with Rakuten Ichiba.
POINT
AI analyzes and evaluates page content
AI presents optimized revision suggestions
Update suggested changes on product pages with one click
SalesNavi's unique AI technology automatically analyzes and evaluates the quality of your store's product pages, including titles, subtitles, main images, and product descriptions, and recommends optimization changes. Apply these changes to your product pages with a single click.
POINT
Users specify multiple keywords for their store's products
Display search rankings for each specified keyword in a graph
Retrospective tracing possible
By specifying multiple keywords for your store's products, search rankings for those keywords are displayed in a graph. Since it is possible to track past results, it is useful for analyzing large fluctuations in sales.
POINT
Users specify multiple keywords for their store's products
Display the ad ranking for each specified keyword in a graph
The table also shows CPC (cost per click) trends.
By specifying multiple keywords for your store's products, you can display a graph showing the advertising rankings for those keywords. You can also check the progress of CPC (cost per click) on the same graph.
POINT
Ability to create A/B testing mode for your store's product pages
Identify the patterns created and analyze the performance
Automatically reflects the most effective pattern
By creating multiple test patterns for the title, subtitle, main image, product description, etc. that are displayed on your store's product page, the effectiveness (sales volume) of each is measured, and after the test is completed, the most effective pattern is automatically reflected.
POINT
Automatic analysis and anomaly detection for in-store products
Automatic notification and report generation of detection results
It automatically analyzes the status of products in your store and detects abnormalities such as out of stock, discontinued listing, discontinued sales, etc. The detected results are automatically notified to the user via email, and can also be checked via report.
