Smart Customer Targeting

Reduce marketing costs, while increasing revenue.

No reviews
Price: Free

Key values section

Smart Product Recommendations

Boost your store revenue and customer lifetime value - all while minimizing advertising costs and users spam.

Artificial Neural Network

Take your predictions to the next level. Discover the right customers to target, with relevant product offers, at the highest accuracy.

Increase Customer Engagement

Know which products are preferred by which customers and tailor your messaging to match.

Smart Customer Targeting

Smart Customer Targeting

Product recommendations and smart customer targeting should be a core part of any ecommerce business. Using our smart targeting app is the best way to match the right products to the right customers. Drive more sales, increase revenue and purchase frequency - all while decreasing your marketing costs.

Smart Product Recommendations

Improve your customers overall shopping experience through our personalized product recommendations. Identify which products increase or decrease purchase probability and add relevancy to every interaction.

Target The Right Customers

Know which customers have the highest probability of purchasing certain products. Identify up selling opportunities and sell more to each customer.

Increase Purchase Frequency

By providing personalized recommendations to every customer, you are increasing the possibility of repeat purchase.

A Neural Network Based Approach

Neural networks are one of the most powerful techniques for building predictive models. Using our smart targeting lists gives you a huge improvement compared to random guessing.

Save Time And Money

By better targeting specific customers, your paid content is going to be more effective. Smart targeting ensures that you are always reaching the right customers so your marketing efforts don’t go to waste.

Strengthen Customer Relationship

Optimize email and upsell strategies to increase response rates and customer engagement.

Personalize Every Experience

The main game changer of a recommendation engine is the personalization. Discover the interests of your customers and target them with relevant product offers at optimal times. Deliver the right message through every marketing channel, while minimizing advertising costs and users' spam.

Launch date

Smart Customer Targeting

Smart Customer Targeting

Product recommendations and smart customer targeting should be a core part of any ecommerce business. Using our smart targeting app is the best way to match the right products to the right customers. Drive more sales, increase revenue and purchase frequency - all while decreasing your marketing costs.

Smart Product Recommendations

Improve your customers overall shopping experience through our personalized product recommendations. Identify which products increase or decrease purchase probability and add relevancy to every interaction.

Target The Right Customers

Know which customers have the highest probability of purchasing certain products. Identify up selling opportunities and sell more to each customer.

Increase Purchase Frequency

By providing personalized recommendations to every customer, you are increasing the possibility of repeat purchase.

A Neural Network Based Approach

Neural networks are one of the most powerful techniques for building predictive models. Using our smart targeting lists gives you a huge improvement compared to random guessing.

Save Time And Money

By better targeting specific customers, your paid content is going to be more effective. Smart targeting ensures that you are always reaching the right customers so your marketing efforts don’t go to waste.

Strengthen Customer Relationship

Optimize email and upsell strategies to increase response rates and customer engagement.

Personalize Every Experience

The main game changer of a recommendation engine is the personalization. Discover the interests of your customers and target them with relevant product offers at optimal times. Deliver the right message through every marketing channel, while minimizing advertising costs and users' spam.

Launch date

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