When previewing template campaign variations (campaigns that modify Shopify theme templates like product pages, collection pages, or article pages), you can now select which specific item to preview it on. A modal lets you search and select a specific product, collection, page, or article from your store - so you can see exactly how your template changes will look with real content before deploying.
You can now block specific countries, IP addresses or IP ranges from running Personizely on your site. You can use the same settings to whitelist specific subsets of traffic. This allows blocking traffic from countries that are irrelevant to your business, as well as bots from some countries that masquerade as real users. These settings are available under Settings -> Security in all accounts.
You can now assign your campaigns to exclusion groups — ensuring that visitors are only exposed to one experiment or personalization within a defined group at a time.
This prevents test collisions, conflicting experiences, and diluted results. Perfect for running:
Create a new Exclusion Group from your campaign settings and assign experiments with a click. Personizely will automatically ensure that visitors are bucketed into only one campaign within that group.
We've made some exciting additions to the goal tracking:
This helps make sure that the analytics reflect a relevant number of conversions in both campaigns and widgets.
Besides that, a new button was added to goals, showing whether a goal was fired previously, helping you check whether the goal is configured correctly.
You can now export campaign and widget analytics from any report as CSV, PDF, or an image. This is helpful if you want to dig into raw data via CSV, if you want to share a beautiful PDF report with a customer, or want to brag about your wins on social media.
We've restructured campaign types to simplify how you build and manage experiments and personalizations.
You now choose between two campaign types:
Each type supports a flexible execution mode:
This allows for cleaner setup, clearer analytics, and easier management across your team.
This also opens up new personalization opportunities that weren't available previously, like product price personalization and template/theme personalizations.
Introducing plyLayer, our new way to call Personizely JS API methods even before the script is loaded.
This ensures more reliable integration and eliminates race conditions, especially for fast-loading SPA environments or third-party script managers.
Example usage:
window.plyLayer = window.plyLayer || [];
window.plyLayer.push(['trackGoal', 'signup']);
You can now use regular expressions to match pages, giving you more powerful control over which URLs are included in your campaigns.
Even better — regex match groups can now be reused as dynamic replacement values in your URL split tests, unlocking sophisticated use cases like pattern-based redirects or custom variant logic.
You can now run A/B tests between two different Shopify theme templates. This makes it easy to experiment with layout or design changes that span entire templates, like switching from a product-focused layout to a lifestyle one. Results are tracked natively, with no need for custom scripts or redirects.
Good news! You don't need to have a campaign or widget running or scheduled to run a preview. Even if you have only one widget/campaign that is in draft mode, you can still preview it on your live site.
We've added 4 new analytical integrations, which allow you to send Personizely events to Mixpanel and Heap for analytics, as well as to Microsoft Clarity for tagging session replays and Segment so that they can be relayed to other systems you have integrated in there.
If you have suggestions for any other integrations, let us know!
Several exciting changes were released for widget analytics.
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.
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 analyze the impact your uninteractive widgets, like promo bars, have on your revenue and will also give more flexibility when running experiments.
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.
We've added a hypothesis field, which you can use to describe your hypothesis for each test for future reference.
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 the experiment and pull parameters assigned to each variation to experiment with your UI components and other complex scenarios.
Go to our JS API docs page to learn more about how to use them: https://docs.personizely.net/js-api
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.
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!
We've completely revamped the Personizely interface with a brand-new design system to make your workflow more intuitive and enjoyable:
Personizely now automatically detects tracking code presence based on event activity. If the script isn't found on your site but events are received, we'll mark the code as present, ensuring better tracking reliability.
We've completely overhauled analytics to provide deeper insights into your performance and revenue.
We've completely redesigned the widget builder for greater control and flexibility.
For Shopify users, we've added the ability to configure script loading (asynchronous or non-asynchronous), giving you better control over performance and site speed.
We're not stopping here! These exciting features are coming soon after the release:
This release is packed with features designed to enhance personalization, improve performance tracking, and provide a seamless user experience.
Log in now and explore Personizely 3.0! 🚀
This version delivers a massive leap forward in analytics, a/b testing, and usability.
Let us know what you think!
Note: If you experience any visual inconsistencies with your widgets, please let us know. While we tried to migrate the widgets with utmost precision, there might still be edge cases where small inconsistencies might have slipped away. But no worries, we'll happily help you fix them!
With our latest update, we have introduced several enhancements to personalization and experiment campaigns.
You can now reuse pages across different campaigns, saving you time and effort in creating new pages from scratch.
Creating 'click' and 'submit' goals has become much more convenient as you can directly do it from the campaign editor screen.
We have added the ability to reset campaign statistics so that you can start from a clean slate once you're done testing the campaign.
If you frequently use a specific campaign as a template, you can now easily clone it to create new campaigns with similar settings and configurations.
You can now select traffic allocation for a campaign to only show it to a certain slice of your website's audience. This allows you to gradually roll up personalization or experiments.
Previewing variations on your live site has become hassle-free, providing a better understanding of how they will appear to your users without the need to simulate a specific target or random variation. Note that you still need at least one campaign to be active or scheduled for the preview to actually show up.
Scheduling functionality was also added to campaigns so you can now plan and execute your campaigns more effectively.
Manually trigger personalization campaigns
Sometimes you might need the personalization campaign to trigger a bit later during a pageview, most of the time because the personalization variations targeting depends on a survey widget that the visitor has to submit first. This is why we now allow manually triggering a personalization using a widget automation or our JS SDK.
It might be challenging editing some tricky-placed element one certain sites. For this we have added the possibility to drag the element editor box across the screen.
We understand that every business has unique objectives, so we have expanded our goal-tracking options.
Several new goal types were added:
trackEvent methodAdditionally have introduced the ability to specify the page for any goal type so that you can limit the page on which this goal will be tracked.
For integrations that require it (Shopify, Wix and GA4 for now), a default purchase goal is automatically created to simplify the setup process. Also, to prioritize specific goals within a campaign or widget, you can now select primary goals the primary goal for them. Moreover, you can select the which goals to mark as default so that they are automatically added each time your create a widget or campaign.
Our widget testing capabilities have been significantly enhanced with this update. You can now create multiple experiments for a single widget while retaining historical statistics for accurate comparisons and insights. Additionally, experiment variations can be easily renamed for better organization and clarity. Once an experiment is stopped - you have the option to copy the winning variation onto you default widget variation.
To analyze the effectiveness of experiments, you can filter widget experiment statistics by specific goals. Furthermore, you have the flexibility to select the primary metric for an experiment, whether it's goal conversion rate, widget conversion rate, or revenue per visitor.
This change gives you the maximum flexibility to iterate on your widget ideas while retaining the original stats and analytics that you might historically need to make better decisions.
We have made several improvements to our widgets based on user feedback.
If you need to reset your widget stats once you are done testing you now have the option to reset them.
Previewing widgets on your live site has become hassle-free, providing a better understanding of how they will appear to your users without the need to simulate a specific target or random variation. Note that you still need at least one widget to be active or scheduled for the preview to actually show up.
To streamline your workflow, we have introduced the ability to sort element automation actions, allowing you to prioritize certain actions within forms and other element types that support automations.
Additionally, widget scheduling has been revamped so that you can conveniently schedule widgets from the same place where you activate them which is also consistent with how campaigns work.
We are continuously working on enhancing our platform and introducing new features to provide a seamless and efficient experience for our users. Stay tuned for more updates and improvements in the future!
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.
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.
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-commerce measurements here.
Note: This is irrelevant for Shopify and Wix customers as the tracking happens automatically there, using webhooks.
You can now sync the contacts collected via your Personizely widgets to Ometria. Ometria is a customer data and experience platform for big retailers.
You can find the tutorial on how to connect the integration here.