Overview

Guides:

Installation

Platform Overview

Understanding Ometria:

Ometria is a customer data and experience platform (CDXP) purpose-built for retail brands. It consolidates customer data from multiple sources, such as purchase history, website behaviour, and email engagement, and combines it with AI-powered insights and cross-channel marketing automation. The platform enables marketers to orchestrate personalised experiences across email, SMS, push, web, and more, all within one unified system.

Key Features:

Customer Data Unification: Aggregates data from touchpoints (e-commerce, POS, mobile, web) into unified customer profiles, enabling a 360° view of behaviour.
AI-Powered Insights: Uses machine learning to generate retail-specific predictions (e.g., repurchase likelihood), and optimise segmentation, content and offers.
Personalisation and Orchestration: Allows building of automated journeys and delivering personalised content across channels (email, SMS, web, mobile push) using smart templates and dynamic logic.
Retail-Focus and Specialist Support: Designed specifically for retail brands, with integrations and implementation support oriented toward retail use-cases (e.g., DTC, omni-channel) and marketing teams.

Use Cases

Unified Customer Journeys:

Retail brands use Ometria to combine offline and online shopper data into one profile, enabling more intelligent segmentation and personalised campaigns.

Cross-Channel Campaign Execution:

Marketing teams deploy coordinated messages via email, SMS, web and mobile push, ensuring customers see consistent offers and content across touchpoints.

Predictive Retention and Loyalty:

By leveraging AI-driven insights, brands can identify customers likely to churn or repurchase and execute proactive retention flows or loyalty offers.

Revenue Growth Through Personalisation:

Brands optimise average order value (AOV) and lifetime value (LTV) by tailoring product recommendations, content, and offers based on real customer data.

Operational Efficiency for Marketing Teams:

With data built for retail and tools that remove dependence on engineering, marketing teams can move faster—from insight to campaign execution, without heavy development overhead.