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personalised targeting

Improve Conversion Rate with Personalised Recommendation System

Personalization in content plays a big role in driving the kind of customised approach that you should deploy. Tatvic developed a recommendation system RecSys in which 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
Service Offerings
Value Propositions

Improved User Experience

Based on user’s past browsing history, we can help you know his/her affinity. Using this information, you can then serve personalized content or even give the most relevant recommendations that help in creating a wow moment and ensure a higher conversion rate.

Increased Chances of Conversion

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

User Classification

This solution groups users into various buckets depending on their activities. User buckets could be based on their loyalty, liking towards specific content category, specific product category affinity, etc. This kind of classification into user buckets makes it more accurate to push out personalized recommendations in terms of products as well as content.

User Affinity Calculation

We can now provide you with a user affinity index that is calculated considering multiple user interactions. This index will give you data-backed insights as to which user – through multiple interactions – carries what level of affinity. Based on this, you can serve them relevant recommendations of products and content.

Real Time Content Serving

Once you have identified the bucket in which a user is classified, we can enable you to serve personalised content in real time. This will ensure that you target users with relevant product and content right when they are in the purchasing or consuming stage of their interaction with your website.
Value Propositions
Service Offerings
Value Propositions
Personalized Targetting

Improved User Experience

Based on user’s past browsing history, we can help you know his/her affinity. Using this information, you can then serve personalized content or even give the most relevant recommendations that help in creating a wow moment and ensure a higher conversion rate.

Increased Chances of Conversion

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

User Classification

This solution groups users into various buckets depending on their activities. User buckets could be based on their loyalty, liking towards specific content category, specific product category affinity, etc. This kind of classification into user buckets makes it more accurate to push out personalized recommendations in terms of products as well as content.

User Affinity Calculation

We can now provide you with a user affinity index that is calculated considering multiple user interactions. This index will give you data-backed insights as to which user – through multiple interactions – carries what level of affinity. Based on this, you can serve them relevant recommendations of products and content.

Real Time Content Serving

Once you have identified the bucket in which a user is classified, we can enable you to serve personalised content in real time. This will ensure that you target users with relevant product and content right when they are in the purchasing or consuming stage of their interaction with your website.
Know how this solution will increase your operational efficiency and aid yielding better ROI.
Request Free Demo

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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