This company uses AI to detect when shoppers online are about to leave asite 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.
JCPenney, arenowned retailer with arich 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
β
Increase customer engagement online.
β
Minimize cart abandonment rates.
β
Enhance conversion rates with targeted campaigns.
JCPenney's task was to improve online engagement, reduce cart abandonment, and increase conversion rates. They needed asolution 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
β
Collaborated with Metrical to use predictive AI.
β
Developed targeted campaigns using real-time non-PII data.
β
Executed over 250 campaigns with advanced ML techniques.
To address these challenges, JCPenney partnered with Metrical to implement predictive AI technology. Metricalβs 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
β
20% boost in cart creation.
β
15% reduction in cart abandonment.
β
11% increase in overall revenue.
As aresult of implementing Metricalβs 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
Answers provided by Metrical
staff
1 month ago and vetted by Blurbs.
10 Standardized Blurbs Questions
1.
Who are your typical customers?
Small businesses
Medium businesses
Large businesses
Enterprises
Can't Say
2.
What verticals do your typical customers belong to?
Retail & E-commerce
Technology & Software
Healthcare & Life Sciences
Financial Services
Education
Travel & Hospitality
Media & Entertainment
Consumer Goods
Automotive
Telecommunications
Non-profit & Social Enterprises
Real Estate
Manufacturing
Food & Beverage
Professional Services
Government & Public Sector
Can't Say
3.
How do you collect and monitor consumers and their data?
Cookies
Javascript
Pixels
Local Storage
IP Address
Fingerprinting
Behavioral
Third Party Data
Location
Cross-Device
I canβt answer
N/A
4.
Is your platform CCPA and GDPR compliant?
Yes
Only CCPA
Only GDPR
No
5.
What is your standard 'time-til-live' for clients?
Days
Weeks
Months
6.
What does a client need to install to start using your service?
Provide data
Install technology
Manual API Integration
7.
How do you provide customer service?
Dedicated account manager
Live chat
Email support
Phone support
Self-service knowledge base
Social media support
In-app support
24/7 support
8.
How do brands measure the success of a campaign using your platform?
Performance
Can't Say
Customer Engagement
Revenue Growth
Brand Awareness
Operational Efficiency
Customer Retention
Customer Satisfaction
Other
9.
What integrations do you offer?
E-Commerce Platforms
CDPs
Digital Advertising
Measurement
Consumer Messaging
Custom APIs & Webhooks
10.
What is your pricing model?
Subscription-based
Pay-per-use
Tiered pricing
Performance-based pricing
Custom contract pricing
Free trial or freemium model
Can't Say
10 eCommerce Marketing-Specific Questions
11.
Can you display both financial and non-financial messages?
"Yes. Metrical can display financial messages such as discounts, buy more, save more and add to reach shipping threshold as well as non-financial messages like social proof, frequently bought together (dynamic bundling), and search recommendations to assist shoppers with finding the right product."
12.
How do your machine learning predictive behavioral models work and how long does it take to build them?
"3-5 days of data collection for most. We sometimes build custom models after 7-14 days of data collection. Integration with in-house models is simple and usually done by sharing information through the data layer or calling an endpoint."
13.
Do you only monitor and engage with shoppers on the site or do you also target shoppers off the site?
"We only monitor shoppers while they are on the site (desktop and mobile)."
14.
Do you have the ability to determine efficacy of each unique message you present to a shopper and to see impression counts of shoppers who received a message?
"Yes"
15.
Can you integrate with other analytic tools such as Google Analytics and Adobe Analytics?
"Yes"
16.
How do you calculate the incremental revenue generated?
"All on-site marketing campaigns run through Metrical are run as A/B tests and each has a control and treatment group that allows Metrical to accurately determine the incremental revenue impact we are making."
17.
What does the pilot process and pricing look like?
"Typically, the process takes 60 to 90 days. Metrical gathers data and customizes its models based on the shopping behaviors of the customer's audience. Once the models are finalized, Metrical collaborates with the customer to develop and launch a series of financial and non-financial campaigns on their site."
18.
Do you offer a reporting tool (for example, reporting dashboard)?
"Yes"
19.
How does your platform display messages to users? (for example, pop-up modal)
"Metrical can display messages in many different formats (pop-up modals, onsite banner ads, in-page content, etc.)"
20.
How can your customers customize campaigns (e.g. messaging, etc.)?
"We offer several ways to customize a campaign such as messaging and branding."
My
Blurbs
