Retail omnichannel customer journey analytics
Karaca, a leading home and kitchenware brand, is celebrated for its innovative designs and commitment to quality. With a thriving e-commerce presence, Karaca aims to enhance customer satisfaction and retention by delivering personalized and seamless online shopping experiences.

Overview
B2Metric empowers Karaca with cutting-edge CDP capabilities to analyze user behavior, segment audiences, and match customers with the right products efficiently. By utilizing e-commerce analytics, the brand optimizes its sales funnel, improves retention, and maximizes customer satisfaction through tailored marketing strategies.
Use Cases
Streamlining data integration
for seamless analysis of user behavior across multiple touchpoints.
Understanding customer actions
on the e-commerce platform to identify intent and preferences.
Accelerating personalized product recommendations
using AI-driven insights to increase relevance and conversions.
Enhancing the shopping experience
by delivering accurate product matches and personalized suggestions in real-time.
Challenge
Karaca faced difficulties in:
Segmenting Users & Products
Manual approaches delayed matching customers with relevant products.
Retaining Customers
Lack of precise targeting for at-risk customers led to missed opportunities.
Optimizing Ads
Ineffective campaigns increased churn and reduced ad ROI.

Key Impact

Benefits
Churn-targeted campaigns significantly reduced customer loss. Hyper-personalized strategies led to higher purchase frequency and average order value. Automated, AI-powered campaign management reduced time and resource costs. Data-driven decisions became easier with the B2Metric IQ platform.
Solution
B2Metric provided Karaca with an advanced AI-driven analytics platform, delivering:
CDP Implementation
Centralizing customer data from multiple sources into a unified platform for comprehensive insights.
Behavioral Analytics
Mapping customer journeys and analyzing behaviors to improve segmentation and targeting accuracy.
E-commerce Performance Optimization
Tracking and optimizing key metrics across channels and categories through tailored analytics dashboards.
Search and Recommendation Optimization
Delivering accurate and personalized product suggestions to improve user satisfaction, search relevance, and conversion rates.
Results
Higher Customer Satisfaction
Increase in customer satisfaction scores through better personalization and relevant customer experiences.
Improved CLTV
CLTV improved with targeted segment-specific campaigns and personalized offers.
Reduced Churn Rate
Churn rate reduced by leveraging predictive analytics and enhanced remarketing strategies.
Increased Conversion Rates
E-commerce conversion rates increased, driving revenue growth across key channels.
Better Search Relevance
Search relevance improved leading to more efficient product discovery and higher engagement.
Key Impact at a Glance
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