Several exciting changes were released for widget analytics.

Control group in widget experiments

You can now toggle on a control group for your experiments. This allows testing the performance in terms of goal hits and revenue for both visitors who see a widget and those who don't.

View-based widget attribution

You can now configure the widget to attribute goal hits (or purchases) to widgets based on a view, instead of needing the user to perform a conversion event on it.
This will help you analy

A little neat enhancement arrived for the time trigger. Now you can choose a time trigger to fire a widget based on the duration of the whole session, whereas previously it was based on the time spent in a single pageview. By default this option will remain unchecked on all current widgets.

You can now choose not to load fonts that you already have on your website, so they're not loaded twice, which can impact page speed. Make sure that the fonts you configure to only be loaded in the builder are 100% present on your website and have the same name.

Confidence intervals

We have a column for the a/b testing analytics report - Confidence intervals. This should help you make better decisions and understand the impact of your a/b tests better.

Hypothesis field

We've added a hypothesis field, which you can use to describe your hypothesis for each test for future reference.

Full-stack/API experiments and feature flags

You can now create a/b tests that can be run directly in your code using a new full-stack type of experiment. Use our JS API to run

At Personizely we've always strived to build products that impact our customer's bottom line. At various stages we've built products that helped with opt-in conversion rate (list building widgets), checkout conversion rate (cart abandonment widgets), average order value (cross-sell widgets), and revenue (a/b testing, personalization, and offer widgets).

Today we are stepping into a new era - profit optimization, because in the end what any business business really cares about in the e

Welcome to Personizely 3.0! This major release marks a transformative leap forward, with a fresh new design, powerful analytics, a completely rebuilt widget builder, new a/b testing campaigns, and much more. Let’s dive into what’s new!

✨ A Fresh Look & Smoother Experience

We've completely revamped the Personizely interface with a brand-new design system to make your workflow more intuitive and enjoyable:

• Modernized UI & Accessibility – A fully redesigned interface with accessible compon

Improved campaigns

With our latest update, we have introduced several enhancements to personalization and experiment campaigns.

Reusable campaign pages

You can now reuse pages across different campaigns, saving you time and effort in creating new pages from scratch.

Create goals from within the campaign editor

Creating 'click' and 'submit' goals has become much more convenient as you can directly do it from the campaign editor screen.

Reset campaign stats

We have added the ability to re

You can now use images inside survey options to better visually represent the options of your quizzes and surveys. There are 3 modes now: Text only, Image and text, Image only.

You can now set conditional action for widget elements like buttons, forms, and surveys. This allows you to execute different actions based on the information collected about a visitor using forms and surveys. Several conditional actions can be configured per widget to give you the flexibility to create truly personalized experiences.

For customers that are using other platforms than Shopify and Wix, tracking revenue goals and attributing them to widgets and campaigns can be tricky. It requires creating a custom goal and running a JS snippet on your conversion pages. Now with our updated GA4 integration, we can intercept these events and register them in Personizely as conversions with revenue. This happens by intercepting the purchase event that your site is sending to Google Analytics.

You can learn more about GA4's e-co