Conversions in Bloom: Sentient, Online Dialogue, and Euroflorist
In this webinar, conversion expert Ton Wesseling of Online Dialogue discusses how AI is making an impact in the world of testing and optimization.
How to Drive Up Conversions Across Your Entire Funnel Using Ascend
Sam Nazari, Sr. Solutions Engineer at Sentient, shares best practices and ideas for using Ascend to increase conversions across your entire website funnel.
Getting Started with Full-Funnel Optimization
This paper explores how Sentient Ascend™ automates the process of improving conversions across a funnel, with tips and examples of different ideas you can test in your own…
Being Right When You Think You Are Wrong
Dr. Neil Iscoe, Chief Technologist of Sentient Ascend, covers some basic tips for how you can look at your experiment data to understand where your opportunities to increase…
Hill Climbing: How to Get to the Highest Peak
"Always be testing” is a process—a series of steps that take you to your goal. This webinar covers the systematic, scientific ways to take those steps and help…
Ascend Case Study: Clicksco
Learn how Clicksco ran dozens of tests across dozens of their web properties and found great conversion increases in their KPIs across the board.
Evolutionary Optimization with Sentient Ascend
Learn why AI-powered conversion optimization beats legacy solutions by giving you the power to test more ideas, faster.
Aware Demo: Deep Understanding of Your Catalog
Aware's AI behaves like the most experienced salesperson on staff. It knows your entire catalog and gets customers to the products they love.
Aware Demo: Aware for Mobile
Aware is a visual experience. It's perfect for mobile. Learn how it works on your phone or tablet and why it performs so well.
Aware Demo: Shop The Look
Aware gives shoppers the freedom to customize popular looks from editorial images, personalizing popular trends and outfits.
Sentient Aware – The Leader in AI-Powered Personalization
Is your site making your customers do all the work? Find out how Aware's AI guides shoppers to the products they'll love.
The Future of Personalization is Visual
This white paper explores how artificial intelligence is creating new capabilities to personalize product recommendations through visual interactions.
The Big Book of Ascend Ideas
AI-powered conversion optimization solutions let you do more. Learn how, plus get 27 real ideas for your site.
The Big Book of Ascend Ideas – Live
Join Ascend testing guru Sam Nazari in this free webinar as he walks through some AI tests from our Big Book of Ideas.
5 Reasons the Most Innovative Retailers Choose Sentient Aware
In this day and age, shopping online seems like a needlessly arduous experience. Download this PDF to learn what sets Aware apart from the crowd of personalization providers,…
Ascend Case Study: Nexway
Find out how Nexway improved a client's conversions by 17% in less than a month with one simple test.
2017 STATE OF CONVERSION OPTIMIZATION REPORT
Sentient has partnered with the ConversionXL Institute to survey industry professionals on the state of conversion optimization.
Sentient Aware: By The Numbers
Shoppers who use Aware convert more, spend more, and dig deeper into catalogs. Learn more in this free infographic.
Conversion Optimization & Financial Services: What You Need to Know
Financial services site have complex funnels and valuable customers. Ascend excels at handling both.
Conversion Optimization & Travel: What You Need to Know
Ascend works out of the box with single-page applications, making it an ideal CRO solution for travel sites of every stripe.
The Digital Marketer’s Guide to AI-Powered CRO
AI testing is different that A/B testing. Learn what to test and how to set up your first experiment with Ascend in this free guide.
Ascend Case Study: ABUV Media
Find out how testing 380,000 widget combinations increased signups by 45%, all in under two months.
How Ascend Works
What does testing 380,000 combinations look like? Watch this short video to find out.
Ascend Case Study: Cosabella
Learn how a few small, counterintuitive changes helped a luxury lingerie brand improve their conversions by 38%.
Getting Started with Sentient Aware
This video provides a brief introduction to Sentient Aware, and demonstrates the simplicity of the integration process.
Ascend Case Study: Flypolar
Discover how a fast-growing fashion brand tested every page in its funnel simultaneously, and achieved double-digit growth in their KPIs.
Giving your customers a better way to shop means better conversions and a more personal experience. This overview will show you how it works.
Ascend Case Study: Classic Car Liquidators
Find out what happened when Classic Car Liquidators used Sentient Ascend to test nearly 30,000 potential designs in a month.
Aware Technical Overview
It's not hard to make your site Aware. Find out how easy it is to integrate cutting-edge artificial intelligence so you can delight your shoppers.
Lets Talk Growth – Jonathan Epstein on How AI is an Emerging Tool for Growth
In this talk, you'll learn how genetic algorithms and artificial intelligence give growth hackers the ability to get bigger lift than traditional A/B tools.
Marketers aren't generally at a loss for ideas; what they need is a tool that gives them the freedom to try them all. Ascend is that tool. Learn…
How ABUV Media Improved Conversion 45% in 8 Weeks Using Sentient Ascend
Learn why ABUV media switched from legacy A/B testing solutions to a AI-powered optimization with Sentient Ascend.
Changing the Game: Always-On Testing with Artificial Intelligence
A/B testing is an powerful way to improve conversion rates on your site, but only about 1 out of 7 tests are winners. Enter Sentient Ascend—built for massively…
What, Why and How to Multivariate Test with AI
Top Conversionista conversion specialist Patrik Matell leads a conversation with Sentient’s Jon Epstein about how AI can be your new advantage in conversion rate optimization.
2016 Ecommerce in Review
2016 saw massive increases in online shopping–especially m-commerce. Learn which trends we think will continue and start taking advantage of them.
Black Friday 2016 Recap
How will you plan for Black Friday this year? Learn what worked for retailers last year–and what didn't–in this free infographic.
The Case for Massively Multivariate Testing
In this webinar, you'll learn about AI-powered conversion rate optimization and discover the five factors that will determine whether or not people will convert on site.
Emarketer Personalization Roundup
One-to-one personalization is the holy grail of retail. This free eMarketer guide will teach you what your customers want and what they find just a little creepy.
Styleintelligence: Visual Technology Empowering Ecommerce
Shopping is a visual experience. In this free guide, retailers will learn how companies are helping connect their shoppers with the products they want to buy.
The Power of Localization for Efficiently Learning Linear Separators With Noise
Citation: Awasthi, P., Balcan M. F., and Long, P. M (2017). The power of localization for efficiently learning linear separators with noise. arXiv:1307.8371v8.
Tackling the Boolean Multiplexer Function Using a Highly Distributed Genetic Programming System
Citation: Shahrzad, H. and Hodjat, B. (2015). Tackling the Boolean multiplexer function using a highly distributed genetic programming system. In Riolo, R., Worzel, W. P., and Kotanchek, M.,…
Surprising Properties of Dropout in Deep Networks
Citation: Helmbold, D. P. and Long, P. M. (2016). Surprising properties of dropout in deep networks. arXiv:1602.04484.
Massively Distributed Simultaneous Evolution and Cross-validation in EC-Star
Citations: Hodjat, B. and Shahrzad, J. (2016). nPool: Massively distributed simultaneous evolution and cross-validation in EC-star. In Riolo, R., Worzel, W. P., Kotanchek, M., and Kordon, A. editors,…
Maintenance of a Long Running Distributed Genetic Programming System for Solving Problems Requiring Big Data
Citation: Hodjat, B., Hemberg, E., Shahrzad, H., and O'Reilly, U.-M. (2014). Maintenance of a long running distributed genetic programming system for solving problems requiring big data. In Genetic…
Learning Decision Lists with Lags for Physiological Time Series
Citation: Hemberg, E., Veeramachaneni, K., Wanigasekara, P., Shahrzad, H., Hodjat, B., and O'Reilly, U.-M. (2014). Learning Decision Lists with Lagged Physiological Time Series. In Workshop on Data Mining…
Latent Geometry and Memorization in Generative Models
Citation: Feiszli, M. (2017). Latent Geometry and Memorization in Generative Models. arXiv:1705.09303.
L-SR1: A Novel Second Order Optimization Method for Deep Learning
Citation: Ramamurthy, V. and Duffy, N. (2016). L-SR1: A Novel Second Order Optimization Method for Deep Learning. (+ supplement). In NIPS 2016 Workshop on Nonconvex Optimization for Machine…
Introducing an Age-Varying Fitness Estimation Function
Citation: Hodjat, B. and Shahrzad, H. (2013). Introducing an age-varying fitness estimation function. In Riolo, R., Vladislavleva, E., Ritchie, M. D., and Moore, J. H., editors, Genetic Programming…
Estimating the Advantage of Age-Layering in Evolutionary Algorithms
Citation: Shahrzad, H., Hodjat, B., and Miikkulainen, R. (2016). Estimating the advantage of age-layering in evolutionary algorithms. In Proceedings of the Genetic and Evolutionary Computation Conference...
Distributed Probabilistic Rule Evolution for Time-Series Classification
Citation: Hodjat, B., Shahrzad, H., Miikkulainen, R., Murray, L., and Holmes, C. (in press). PRETSL: Distributed probabilistic rule evolution for time-series classification. In Genetic Programming Theory and Practice…
Discovering Evolutionary Stepping Stones Through Behavior Domination
Citation: Meyerson, E. and Miikkulainen, R. (2017). Discovering Evolutionary Stepping Stones through Behavior Domination. In Proceedings of the Genetic and Evolutionary...
Conversion Rate Optimization Through Evolutionary Computation
Citation: Miikkulainen, R., Iscoe, N., Shagrin, A., Cordell, R., Nazari, S., Schoolland, C., Brundage, M., Epstein, J., Dean, R. and Lamba, G. (2017). Conversion Rate Optimization through Evolutionary…
A Massive-Scale, Hub and Spoke, Distributed Genetic Programming System
Citation: O'Reilly, U.-M., Wagy, M., and Hodjat, B. (2013). EC-Star: A massive-scale, hub and spoke, distributed genetic programming system. In Riolo, R., Vladislavleva, E., Ritchie, M. D., and…