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LXRInsights

Develop by LXR Insights
Free plan available

AI Powered customer segmentation and audience remarketing

Customer segmentation
One-click integration
Customer insights
Audience remarketing
Predict repeat buyers

About LXRInsights

Launched Aug 07, 2023

Categories

Built by LXR Insights

Email :

[email protected]

Address

Independence Way, Suite #203, Princeton, NJ, 08540, US

Website Privacy policy
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Introduction Video

Description

The Only AI Partner for Topline Ecommerce Growth

LXRInsights is the only AI-powered eCommerce growth platform built to drive top-line growth through strategic experimentation. The process is simple: connect your Shopify or BigCommerce store, run micro-experiments on ad campaigns across channels e.g. Google and Meta, and scale successful experiments to uncover new revenue opportunities. If an experiment fails, it reaffirms your campaigns are already running at peak efficiency.

LXRInsights is the only AI-powered eCommerce growth platform built to drive top-line growth through strategic experimentation. The process is simple: connect your Shopify or BigCommerce store, run micro-experiments on ad campaigns across channels e.g. Google and Meta, and scale successful experiments to uncover new revenue opportunities. If an experiment fails, it reaffirms your campaigns are already running at peak efficiency. more
  • Industry-First Rapid Testing Platform for Google and Meta Ads Optimization
  • AI-powered scoring to identify and rank your most valuable customers
  • Seamlessly Connects to Popular eCommerce Platforms e.g. Shopify and BigCommerce
  • Strategic Testing with Ads and Campaigns to Uncover Hidden Revenue Potential
  • AI-Driven Predictive Methods for Driving incremental revenue and topline growth

Pros

  • AI-powered customer segmentation allowing for detailed identification of top customers
  • Utilizes over 13,000 data points for precise analysis
  • One-click integration with Google, Meta, and soon Microsoft ad campaigns makes audience remarketing seamless
  • Ability to forecast the likelihood of repeat buyers based on aggregated shopping behavior
  • Predictive models that identify not only repeat buyers but also at-risk customers
  • Provides comprehensive insights on different customer groups such as top, mid, and low valued customers

Cons

  • Limited to only Google, Meta, and Microsoft platforms for now Other platforms might not be supported
  • Dependence on AI algorithms, which might not always provide accurate predictions
  • Learning curve for users who are not familiar with AI-based tools or digital marketing analytics
  • Potential privacy concerns with the use of extensive data points for customer analysis

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