e commerce personalization engine project

advisory statement

ShopNova’s online store was generating high traffic but had stagnant conversion rates and low repeat purchases. Customer journeys were not personalized, resulting in missed revenue opportunities.

Our Approach

Corrplus developed a personalization model using behavior analysis, purchase intent prediction, and multi-channel data synchronization. The AI engine tailored recommendations, promotions, and content per user profile — integrated natively with WooCommerce.

Results & Outcomes

Conversion rate increased by 35% within 3 months

Average order value (AOV) increased by 17%

Repeat customer rate improved by 22%

Fully automated marketing segmentation & targeting

project milestones

  • Customer Behavior Mapping

    Integrated tracking tools to capture user journeys, preferences, and interactions.

  • AI Recommendation Model

    Implemented deep learning models to personalize product displays dynamically.

  • A/B Testing Automation

    Automated campaign testing and optimization across product categories.

  • Performance Analytics Dashboard

    Centralized customer insight metrics to guide marketing and pricing decisions.

brief description

Corrplus delivered an AI-powered personalization engine that increased conversion rates by 35% and improved customer retention through dynamic product recommendations.

client

ShopNova Online

project budget

$2.9M

date started

22 August 2023

Interested in similar results?