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Learn about how these Website Personalization vendors stack up against each other by checking out our blurbs, claims, and case studies.

metric.al
Full Blurb
Metrical
"AI-powered ecommerce personalization for increased sales."
Focused on Messaging & Real-Time Offers .
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.
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
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.
geteppo.com
Full Blurb
Eppo
"Trustworthy experimentation for teams, from tests to personalizations."
Focused on Experimentation & Optimization Tools .
Eppo helps marketers automate complex experimentation, centralizing metrics and digging into performance without needing a data team. The platform supports feature flagging, AI personalization, and runs experiments focused on true impact metrics. Avoids black boxes with a transparent, warehouse-native setup.
Secure and data-native design
Eppo claims that their platform's zero-copy, warehouse-native architecture ensures trustworthy experimentation by naturally safeguarding data privacy and accuracy.
Faster experiment cycles
Eppo claims that their CUPED++ acceleration significantly reduces the duration of experiments, giving quicker insights without sacrificing rigor.
Self-serve data capabilities
Eppo claims that their out-of-the-box reporting and slice-and-dice capabilities remove analysis bottlenecks, empowering teams to drive insights autonomously.