Personalization Engines Resources
Articles, Discussions, and Reports to expand your knowledge on Personalization Engines
Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find articles from our experts, discussions from users like you, and reports from industry data.
Personalization Engines Articles
Inside Connections 2022: What We Liked and Would’ve Liked to See
Analyst work isn’t just confined to data, graphs, and charts. In the research world, our role also relies heavily on presenting findings, mapping trends, and advising in our areas of expertise. The experience varies from industry to industry, but for those of us in the martech arena, we often have the opportunity to have inside access to some of the biggest conferences and events in the space.
by Victoria Blackwell
Campaign Conundrum—How Marketing is Tackling Personalization and Privacy
As a market research analyst at G2, we’re often tapped by our vendors to contribute to and participate in various projects and conferences. It’s an incredible opportunity to engage with other industry experts and peers to identify where we can best allocate resources and learn about the changes on the horizons of our specialties.
by Victoria Blackwell
Personalization Engines Discussions
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Question on: AB Tasty
How do I install AB Tasty on my site?
Setup and technical requirements
Before you can set up a campaign, you need to install the AB Tasty tag on your site. This process only takes a few minutes.
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Question on: AB Tasty
How does AB Tasty work?
Setup and technical requirements
AB Tasty is a SaaS (Software as a Service) solution that’s hosted in the cloud and provides a web interface for the ultra-simple creation of A/B tests, personalizations and marketing campaigns. You can create your own page variations, configure the test options, define the objectives to be measured, and monitor the results. The variations that you make in the editor will be applied to the website in JavaScript, i.e. browser side. No changes are made server side because we never have access to your server.
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Question on: Optimizely Web Experimentation
How does A/B Testing work?
How A/B Testing Works
A/B testing is when you have a least two variations of something you want to test. Typically you have a control (which may be the current variant) and then one test variant. You create a hypothesis around the problem you are solving for. You also define your success metrics. You typically run the test until it reaches statistical significance. At this point, most A/B testing software will let you know the test winner and the improvement it may have made. Say for instance, you have a red "buy now" button on your website. You've heard that green buttons work better so you want to test this theory out. The red button is the control variant. You create a variant in which the button is green and this would be variant #1. You set the success metrics to button clicks and decide you only want to send 20% of your traffic the test. The 20% represents a small sample of your traffic which reduces the risk if there's adverse effects of the variant. The test runs until it reaches statistical significance. At this point, statistically there's a winner and we can attribute the changes we made or didn't make as the factor driving the KPI. There can be much more steps and nuances involved. This is the very basic concept of testing.
In an A/B test, you take a webpage or app screen and modify it to create a second version of the same page. This change can be as simple as a single headline or button, or be a complete redesign of the page. Then, half of your traffic is shown the original version of the page (known as the control) and half are shown the modified version of the page (the variation).
Personalization Engines Reports
Mid-Market Grid® Report for Personalization Engines
Fall 2026
G2 Report: Grid® Report
Grid® Report for Personalization Engines
Fall 2026
G2 Report: Grid® Report
Enterprise Grid® Report for Personalization Engines
Fall 2026
G2 Report: Grid® Report
Momentum Grid® Report for Personalization Engines
Fall 2026
G2 Report: Momentum Grid® Report
Small-Business Grid® Report for Personalization Engines
Fall 2026
G2 Report: Grid® Report
Enterprise Grid® Report for Personalization Engines
Summer 2026
G2 Report: Grid® Report
Small-Business Grid® Report for Personalization Engines
Summer 2026
G2 Report: Grid® Report
Mid-Market Grid® Report for Personalization Engines
Summer 2026
G2 Report: Grid® Report
Grid® Report for Personalization Engines
Summer 2026
G2 Report: Grid® Report
Momentum Grid® Report for Personalization Engines
Summer 2026
G2 Report: Momentum Grid® Report


