Metrical
"AI-powered ecommerce personalization for increased sales."
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Updated 3 Days Ago
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3 Advocates
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2 Verified Clients
Metrical uses AI to analyze real-time ecommerce behavior, predicting which visitors need a shopping nudge. It personalizes messages to increase conversion and reduce dependency on discounts. Marketers use Metrical to optimize campaigns continuously through deep AI insights and A/B testing, aligning messages with consumer purchase likelihood.
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Operations
at a Glance
Who are your typical customers?
Large businesses
Enterprises
What verticals do your typical customers belong to?
Retail & E-commerce
Financial Services
Travel & Hospitality
How do you collect and monitor consumers and their data?
Javascript
Is your platform CCPA and GDPR compliant?
Yes
What is your standard 'time-til-live' for clients?
Days
What does a client need to install to start using your service?
Install technology
How do you provide customer service?
Dedicated account manager
Email support
Phone support
How do brands measure the success of a campaign using your platform?
Performance
Customer Engagement
Revenue Growth
What integrations do you offer?
E-Commerce Platforms
CDPs
Custom APIs & Webhooks
What is your pricing model?
Subscription-based
Metrical's Website Claims...
Our bot logged these claims from Metrical's website.
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.
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
β
Century-old brand struggles with modern digital challenges.
β
Online presence since 1998, needing optimization.
β
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
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 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
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 a result 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
Shopping Journey Engagement Q & A
Answers provided by Metrical
staff
and
vetted by Blurbs.
1.
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."
2.
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."
3.
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)."
4.
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"
5.
Can you integrate with other analytic tools such as Google Analytics and Adobe Analytics?
"Yes"
6.
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."
7.
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."
8.
Do you offer a reporting tool (for example, reporting dashboard)?
"Yes"
9.
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.)"
10.
How can your customers customize campaigns (e.g. messaging, etc.)?
"We offer several ways to customize a campaign such as messaging and branding."