LiftIgniter

 

Confused about which technology vendor to use for your business problem? Ask for help

Confused about which technology vendor to use for your business problem? Ask for help

    • LiftIgniter
    • https://liftigniter.com/
    • 11-50 Employees

Description:
LiftIgniter uses data science to help publishers and retailers optimize their websites and mobile apps in real-time. LiftIngiter’s personalization aims to put the perfect piece of “content”​ (video, article, item to buy) in front the user at the moment when they are most likely to engage or convert. The company promises a dynamic, real-time digital property that enables the perfect experience for that user impression at that moment in time.

Products:
LiftIngiter offers solutions for:

  • Publishers
  • Content Aggregators
  • eCommerce
  • Mobile Apps



Industries Served: (Any)
Business Function: Marketing
Headquartered: 2440 Mariposa St, San Francisco, CA 94110
Date Founded: 2014

Case Studies (1)

Title: Online Media Platform Improves On-Site Engagement Client Company: LiftIgniter Executive Summary:

Tech Provider: LiftIgniter Client Company: Ranker Client Company Description: Ranker is an online destination for broad, opinion-based, crowdsourced rankings ofRead More…

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Executive Interviews (1)

Interviewee Name: Adam Spector

Company Role: Chief Business Officer

Interview Summary: In this episode we talk to Adam Spector, the Co-Founder & Chief Business Officer at LiftIgniter, a company which provide a service which modulates website experience per users, for an array of different businesses. Adam and I discuss what the tech giants are doing to customize their business experiences, what data they’re using to continually alter user experience and what industries and sectors might be impacted by this aggregate trend as it moves forward.

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Mentions on TechEmergence(3)

Predictive Analytics for Marketing - What's Possible and How it Works

Predictive analytics for marketing would have been adopted years ago - if only the compute power were more ubiquitous, the data were more accessible, and the software were easier to use. Now "predictive analytics" itself is almost a buzzword, after nearly 30 years of backward-looking marketing tracking. Today, well over 30 years after the founding...

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Everyday Examples of Artificial Intelligence and Machine Learning

With all the excitement and hype about AI that’s “just around the corner”—self-driving cars, instant machine translation, etc.—it can be difficult to see how AI is affecting the lives of regular people from moment to moment. What are examples of artificial intelligence that you're already using—right now? In the process of navigatin...

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Use Cases of Recommendation Systems in Business - Current Applications and Methods

An increasing number of online companies are utilizing recommendation systems to increase user interaction and enrich shopping potential. Use cases of recommendation systems have been expanding rapidly across many aspects of eCommerce and online media over the last 4-5 years, and we expect this trend to continue. Recommendation systems (often ca...

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