What differences exist between the recommendation data displayed in the "Reports" under "Performance Indicators" and "Engagement Value"?

The "Total Order Value (GMV)" metric within Performance Indicators computes the aggregate value of orders placed by customers who engaged with and acquired recommended products. The Engagement Value represents the aggregate order value of customers who engaged with the recommendation but refrained from completing a purchase subsequent to examining the suggested products. The presence of various sets of purchased products may result in variations in the presentation of the statistics.

What should I do if my purchase volume is low?

You have the ability to examine the performance data of your specific recommendation and make adjustments to optimize it for a reduced CTR. Analyze the fluctuations in traffic over the past few months. Should traffic have been relatively low in prior months, the system's ability to accurately forecast customer preferences may be compromised, potentially leading to less precise or unsatisfactory recommendations. Assess your conversion rates as a whole: Consumer shopping experience optimization may be required if the overall conversion rate of the website is insufficient. The homepage need not be excessively lengthy. Placing promotional messages in a prominent location, such as the large banner, is optimal. Ensure that the website category facilitates the fast discovery of the desired products or categories by visitors. It is imperative that the product page descriptions are unambiguous, as they significantly influence consumers' purchasing decisions.

How is CTR efficacy evaluated?

CTR greater than 5%: A CTR exceeding 5% indicates that the products recommended are in accordance with the customers' expectations and that they possess a significant intention to click. The recommenders are probably well-aligned with the preferences of your target audience, which can serve as a benchmark for optimizing recommenders on subsequent pages. A CTR ranging from 2.5% to 4.9% is deemed typical for the performance of recommenders, ensuring that the products that are most frequently recommended satisfy the expectations of the customers. Maintaining the placement and recommendation logic for this recommender is recommended. CTR less than 2.5%: In the event that this recommender fails to meet anticipated results, it is advisable to modify the position or recommender type and wait two weeks (due to the time required for data to accumulate) to ascertain whether the CTR performance improves.

Home AI Tools Rosetta

Rosetta

(5 reviews)

Rosetta.ai is an AI-driven platform offering 1-to-1 personalization for ecommerce businesses, featuring AI-driven visual recognition, tailored product recommendations, detection of hesitant consumers, and personalized online experiences, trusted by leading brands and delivering confirmed results in revenue growth and conversion rates.

Key AI Functions:e-commerce,life assistant,analysis,misc tools

Description for Rosetta

Rosetta.ai is an advanced platform focusing on 1-to-1 personalization for ecommerce enterprises, leveraging AI-powered technologies to enhance customer experiences, drive sales, and boost conversions. Through specialized personalization techniques and visual recognition, it enables merchants to offer tailored online experiences and product recommendations, resulting in improved customer engagement and satisfaction.

Features:

AI-Driven Visual Recognition: Utilizes AI algorithms to analyze customer preferences and behavior through visual recognition, enhancing personalization effectiveness.
Tailored Product Recommendations: Generates personalized product recommendations based on the unique preferences of each individual consumer, improving relevance and engagement.
Detection of Hesitant Consumers: Identifies customers at risk of abandoning their purchases and delivers customized incentives to encourage completion of the transaction, reducing cart abandonment.
Personalized Online Experiences: Empowers enterprises to create customized online experiences tailored to the needs and preferences of individual customers, fostering stronger connections and loyalty.
Industry-Specific Solutions: Offers specialized recommenders for various industries such as accessories, cosmetics, and fashion, ensuring relevance and effectiveness in different sectors.
Static and Exit-Intent Banners: Engages website visitors with personalized messages or offers, capturing attention and encouraging action, particularly during exit attempts.
Visual AI Preference Analytics: Aggregates unique consumer insights to optimize personalization strategies, leveraging visual AI analytics to enhance the overall customer experience.
Trusted by Leading Brands: Trusted by renowned brands like L'Oreal, Lancome, Kiehl's, Shu Uemura, and SOLE, attesting to its reliability and effectiveness in driving business growth.
Confirmed Results: Demonstrated significant improvements in revenue per visitor, average order value, and conversion rate, highlighting its tangible impact on business performance.

Pricing for Rosetta

Use Cases for Rosetta

Ecommerce enterprises aiming to improve consumer experiences and personalization.
Online platforms specializing in fashion, cosmetics, and accessories that offer personalized product suggestions.
Proactive engagement is ideal for brands seeking to increase conversion rates and decrease customer attrition.
SMB websites and leading brands with an interest in utilizing personalization tools powered by AI.
Online enterprises that employ Shopify or other leading ecommerce platforms in Asia.
By providing ecommerce companies with AI-powered personalization tools, Rosetta.ai enables them to generate sales and provide exceptional customer experiences.
Rosetta.ai empowers organizations to leverage customized product recommendations, Hesitant Customer Detection, and personalized online experiences in order to foster more robust customer relationships and attain substantial enhancements in critical performance indicators.
Increased order value through personalized product recommendations.
By employing conversational optimization techniques, one can enhance the flow of dialogue.
Boost per-visit revenue with AI-powered exit-int promotions.

FAQs for Rosetta

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Reviews for Rosetta

4.2 / 5

from 5 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

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