Metrical

"AI nudges hesitant shoppers to buy more."

This company uses AI to detect when shoppers online are about to leave a site without buying. It then sends personalized messages to encourage them to complete their purchase. This approach aims to increase sales and customer loyalty while protecting privacy by not using cookies or personal data.
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Metrical Stated Claims
Below are public claims our AI believes to have been made by Metrical.
AI predicts hesitation
Metrical claims that their AI predicts when shoppers are about to leave the website, allowing targeted engagement to boost conversion.
Personalized messaging
Metrical claims to deliver personalized messaging to shoppers based on their behavior and needs, improving the customer experience.
Increased revenue
Metrical claims their solution drives incremental revenue, customer loyalty, and higher ROAS without using cookies or personal data.
CONVERSION RATE OPTIMIZATION

BlurbSTAR Case Study
JCPenney & Metrical
Boosted conversion rates using AI-powered targeting.
11%
uplift in revenue
15%
reduction in cart abandonment
1.
Situation
Retail Faces Digital Challenges
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Century-old brand struggles with modern digital challenges.
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Online presence since 1998, needing optimization.
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Key focus: Engagement, conversion rates, cart abandonment.
JCPenney, a renowned retailer with a rich legacy, faced modern retail's complex challenges of enhancing online engagement and minimizing cart abandonment. Despite its vast online presence established since 1998, JCPenney needed innovative solutions to optimize its digital customer journey and improve key metrics like average order value and conversion rates.
2.
Task
Optimizing Digital Customer Journey
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Increase customer engagement online.
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Minimize cart abandonment rates.
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Enhance conversion rates with targeted campaigns.
JCPenney's task was to improve online engagement, reduce cart abandonment, and increase conversion rates. They needed a solution that could target customers in real-time with personalized campaigns that would nudge them to complete their purchases instead of abandoning their shopping carts.
3.
Action
Implementing Predictive AI
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Collaborated with Metrical to use predictive AI.
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Developed targeted campaigns using real-time non-PII data.
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Executed over 250 campaigns with advanced ML techniques.
To address these challenges, JCPenney partnered with Metrical to implement predictive AI technology. Metrical’s AI utilized real-time, non-personally-identifiable information (non-PII) data to create personalized and targeted campaigns. They launched over 250 targeted campaigns, leveraging advanced machine learning to offer tailored incentives, discounts, and personalized reminders right when customers were likely to abandon their carts.
4.
Result
Significant Conversion Improvement
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20% boost in cart creation.
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15% reduction in cart abandonment.
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11% increase in overall revenue.
As a result of implementing Metrical’s AI, JCPenney saw substantial improvements. Cart creation increased by 20%, cart abandonment decreased by 15%, and overall revenue saw an 11% uplift. These results highlighted the effectiveness of predictive AI in enhancing customer engagement, improving conversion rates, and reducing revenue losses from abandoned carts.
Keywords
PREDICTIVE AI IN RETAIL
REDUCE CART ABANDONMENT
INCREASE CONVERSION RATE
TARGETED MARKETING CAMPAIGNS
CUSTOMER ENGAGEMENT STRATEGIES
REAL-TIME DATA IN RETAIL
PERSONALIZED SHOPPING EXPERIENCE
DIGITAL CUSTOMER JOURNEY OPTIMIZATION
The Blurbs 20
20 Frequently Asked Questions
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Metrical
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