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Upcoming Webinar : 30th October 2018

Upcoming Webinar: Oct. 30, 2018

10 Most Underused Google Analytics 360 Features According to Experts

CUSTOMER EXPERIENCE

A/B Testing

Net Promoter Score

Personalized Targeting

Price Based A/B Testing

personalized targeting in Google Analytics

Improve Conversion Rate with Personalized Targeting in Google Analytics

Personalization in content plays a big role in driving the kind of customised approach that you should deploy. Tatvic developed a recommendation system RecSys that helps personalized targeting in Google Analytics wherein the user is delivered personalised content based on their browsing behavior and interests. This enables your organization to push relevant content or product and optimise the user’s journey and leverage your existing resources.

Value Propositions

Improved User Experience

Identify user’s affinity based on their past browsing history. Achieve personalized targeting in Google Analytics to give the most relevant recommendations. With this, you ensure better a UX and higher conversions.

Enable Personalized Marketing

Enable personalized marketing for each segment alike segment of users. Offer relevant products/services based on their profile and behavior to increase the probability of transaction with personalization.

personalized targeting in Google Analytics
Service Offerings
personalized targeting in Google Analytics

User Classification

Bifurcate users on distinctive parameters like brand loyalty created via repeat purchase, favorite content category, most navigated product category, etc. This helps you drive personalized recommendations to users.

User Affinity Calculation

Our team can provide user affinity index calculated by considering multiple user interactions to get data-backed insights. Identify user through multiple interactions and level of affinity that each user carries.

Real Time Content Serving

Post identifying and classifying the user bucket, we help you serve personalized, real-time content. This let you target users with relevant product and content just when they are interacting live on your website.

Value Propositions
Service Offerings
Value Propositions
personalized targeting in Google Analytics

Improved User Experience

Identify user’s affinity based on their past browsing history. Achieve personalized targeting in Google Analytics giving the most relevant recommendations ensuring better UX and a higher conversion rate.

Increased Chances of Conversion

Since user is subjected to the most relevant products/services based on his profile and behavior, the probability of that user performing a transaction increases thus impacting the conversion rate.

Service Offerings
personalized targeting in Google Analytics

User Classification

Bifurcate users on distinctive parameters like brand loyalty created via repeat purchase, favorite content category, most navigated product category, etc. This helps you drive personalized recommendations to users.

User Affinity Calculation

Our team can provide user affinity index calculated by considering multiple user interactions to get data-backed insights. Identify user through multiple interactions and level of affinity that each user carries.

Real Time Content Serving

Post identifying and classifying the user bucket, we help you serve personalized, real-time content. This let you target users with relevant product and content just when they are interacting live on your website.

Know how this solution will increase your operational efficiency and aid yielding better ROI.

RecSys – A Success Story of Personalized Targeting

RecSys is a recommendation system that helps you generate different types of product and content recommendations for your web platform. It uses the already collected Google Analytics data and is a DIY setup using JavaScript. It has proven itself to be a smart tool to place relevant recommendations to guide user’s exploration on site. For one of Tatvic’s eCommerce client, this solution significantly reduced bounce rate on their store’s product pages while for another client, RecSys increased the interest on focusing on their Average Order Value thereby increasing their eCommerce Store revenue.

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