Remove Experimentation Remove Marketing Remove Metrics Remove Optimization
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Bringing an AI Product to Market

O'Reilly on Data

In this article, we turn our attention to the process itself: how do you bring a product to market? The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. Agreeing on metrics. Identifying the problem.

Marketing 362
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eCommerce Brands Use Data Analytics for Conversion Rate Optimization

Smart Data Collective

One benefit is that they can help with conversion rate optimization. Understanding E-commerce Conversion Rates There are a number of metrics that data-driven e-commerce companies need to focus on. It is a crucial metric that provides priceless information about your website’s ability to transform visitors into paying customers.

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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. That metric is tied to a KPI.

Metrics 156
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What you need to know about product management for AI

O'Reilly on Data

You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door. The need for an experimental culture implies that machine learning is currently better suited to the consumer space than it is to enterprise companies. AI doesn’t fit that model.

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Robust Experimentation and Testing | Reasons for Failure!

Occam's Razor

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. And yet, chances are you really don’t know anyone directly who uses experimentation as a part of their regular business practice. Wah wah wah waaah.

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Analytics On The Bleeding Edge: Transforming Data's Influence

Occam's Razor

This is very hard to do, we now have a proven seven-step experimentation process, with one of the coolest algorithms to pick matched-markets (normally the kiss of death of any large-scale geo experiment). Now, our Marketing teams know before they spend money if the campaign’s creative will deliver success. Matched market tests.

Analytics 131
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Experimentation and Testing: A Primer

Occam's Razor

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers.