Preset time periods in the date picker
In the date picker of your results reports, you can now select predefined time periods, making it even easier to analyze your experiment.
Read the docs: Evaluate experiments in Varify.ioEvery release, improvement and fix, newest first.
In the date picker of your results reports, you can now select predefined time periods, making it even easier to analyze your experiment.
Read the docs: Evaluate experiments in Varify.ioIn the visual editor, you can choose from a list of predefined simulated mobile devices to create and preview your experiences. You can also switch each device to landscape mode.
Read the docs: Responsive Device SwitcherPreview mode is back. You can now find it right in the visual editor.
Preview mode has been replaced by QA mode. This makes it easier to perform quality assurance for an experiment, and testing on mobile devices is significantly easier thanks to the QA modal.
In addition to analyzing your A/B tests with your own analytics data, Varify now also provides its own A/B testing tracking. Unlike GA4, the data is available in real time.
You can now use additional AI credits to build PBX variations.
Read the docs: Prompt Based Experiments (PBX)Connect your experiments to Adobe Analytics and analyze them directly there.
Read the docs: Adobe Analytics IntegrationWith the Custom JS integration, you decide how and in what format the Varify experiment data is transmitted, so it works with any tool.
Let the AI evaluate your experiments automatically. During and after the test, it shows you whether it is worth continuing or whether a winner or loser has already been determined.
With the GA4 MCP, you can share data directly from GA4 with Varify. On request, Varify currently uses this data to identify new test ideas during the CRO audit.
Send your experiment and variation data directly to HubSpot, so you can see at a glance which experiments and variations your contacts have participated in.
Read the docs: HubSpotUpload your images to the media library and reference them in your experiment variations.
A/A tests can now be created with a single click.
Read the docs: Start an A/A test and check the trackingThe API query for your experiments now also returns the values for outlier smoothing.
Read the docs: Experiment APIYou can now find the Shopify reporting integration under “Integrations” instead of “Advanced Setup”.
Read the docs: Shopify Conversion DataWith Shopify Plus and the Varify Shopify Checkout App, you can build any components you want and then test them in your checkout or display them permanently.
Read the docs: Shopify Checkout AppConnect the Varify MCP directly through a standard Anthropic connector in Claude.
To export the results of your experiments from GA4, connect a Google service account instead of your personal GA4 account.
Connect your preferred LLM to the Varify MCP. This lets you create, start and pause experiments and much more, directly through your LLM, such as Claude.
Automatically end your experiments as soon as they are statistically significant and have reached a minimum duration and a minimum number of conversions.
Read the docs: Starting, pausing and ending experimentsConnect a Google service account instead of your personal GA4 account to view your experiment results in Varify.
Read the docs: Google Analytics Connection to Varify via Google AuthUpload one or more screenshots, and the AI builds a fully functional element for you.
Read the docs: Prompt Based Experiments (PBX)We have strengthened the security of every Varify account.
Use your own API keys and connect your LLMs from Anthropic, Google or OpenAI.
The AI scans the context of the page before creating new elements, so new elements always match the style of your website.
Read the docs: Prompt Based Experiments (PBX)Use server-side experimentation to load an experiment directly from the server.
Read the docs: Server-side A/B testingThe Bayesian method now also displays the remaining days of the test runtime, so you can see at a glance how long your test still has to run until the results are valid.
Read the docs: How Varify calculates the significanceBy default, the Varify test evaluation is based on a one-sided frequentist method. In the Pro plan, you can now switch to a Bayesian method. In addition to the significance, it shows an estimate of the remaining test duration, so you can better judge when it makes sense to end the test.
Read the docs: How Varify calculates the significanceYou can now create your variations in the visual editor with the help of AI.
Read the docs: Prompt Based Experiments (PBX)By default, the Varify test evaluation is based on a one-sided frequentist method. In the Pro plan, you can now switch to a two-sided frequentist method.
Read the docs: How Varify calculates the significanceThe Pro plan offers three user roles that you can assign to your team members.
Compare the performance of your variations with charts for your goals (event goals only).
Read the docs: Evaluate experiments in Varify.ioAnalyze your websites with AI and get an assessment of their current optimization status, along with test ideas for your A/B tests.
Read the docs: AI CRO AuditDuplicate existing elements on your website in the visual editor. Use the duplicates as a draft to create and customize additional elements in the same interface.
The experiment list in the dashboard shows the “Last edited” date and, for running experiments, the “Days running”.
Read the docs: Experiment DashboardThe dashboard now tells you when an experiment is live and being delivered to your users.
Read the docs: Experiment DashboardA pin icon next to each goal in the report lets you pin goals. Pinned goals are displayed at the top of the report.
Read the docs: Evaluate experiments in Varify.ioSet a primary goal for each experiment to define its main metric. The primary goal is always displayed at the top of the experiment.
Read the docs: Evaluate experiments in Varify.ioExperiments in the dashboard can now be expanded and collapsed for a clearer overview.
Read the docs: Experiment DashboardThe new “Active Sessions” section shows all currently active sessions of your user account, each with the device, browser version, device type, IP address and location.
Read the docs: Active SessionsAccount owners can require in the team settings that all team members enable MFA to use Varify. This prevents unauthorized access to Varify if a password is lost.
Read the docs: Multi Factor Authentication (MFA)The new “Login History” section shows all login attempts for your user account, each with the IP address, the date and whether the login succeeded.
Read the docs: Login HistoryManage permissions and roles for each of your team members.
Read the docs: Roles and permission managementShopify data is now transferred reliably from multi-currency stores too. Foreign currencies are converted automatically into a defined target currency, such as euros or US dollars.
Read the docs: Shopify Conversion DataDownload the raw data of your results directly from the results report as a CSV file, or fetch it via the API.
Read the docs: Exporting the experiment results from VarifyExclude experiments from each other, so that only one experiment of an exclusion group is active for a visitor.
Read the docs: Mutual exclusion of experimentsChanges you make in the visual editor now also show the selector of the changed element, so you can see at a glance which element was changed.
Plan your experiments and define in advance when they should start and end automatically.
Read the docs: Schedule start/end of experimentChanges can now also be deleted from variations you have already edited.
Filter your Shopify experiment results by the products you specify.
Read the docs: Shopify Conversion DataRun quality assurance before you start your experiments. The new QA mode makes this easier than ever.
Read the docs: Quality assurance (QA)Connect your experiments with PostHog and evaluate them directly in Varify. Your experiment data is imported into Varify via an API, so you can analyze it in one place.
Read the docs: PostHog TrackingThe account history shows which user changed what in your account, and when.
Read the docs: Activity LogWith the BigQuery auto setup, you can use BigQuery to analyze your experiments with a single click.
Read the docs: Connect BigQuery Auto-Setup with GA4Use decimal places in the traffic allocation.
Evaluate your A/B tests directly in Varify with your Shopify data. Varify imports your Shopify conversions and revenue.
Read the docs: Shopify Conversion DataThe “Exclude Duplicate User Events” setting is now available in every report. It defines whether your goals count once per user or every time.
Read the docs: Evaluate experiments in Varify.ioSave your page targeting and audience targeting conditions as a segment, and reuse them in other experiments without recreating them.
Read the docs: Audience TargetingIn addition to simple URL targeting, you can now combine several URLs and target via CSS selector or JavaScript.
Read the docs: Page targetingSet up your web analytics integration with a single click, or choose a manual custom integration.
Read the docs: Tracking with Varify.ioRun experiments for visitors from a specific, defined geographic area.
Read the docs: Audience TargetingApply an outlier adjustment to your experiment results to improve the accuracy of significance calculations for sales metrics.
Change the baseline variation in the reporting of your experiments: any variation, not only the original, can be the one all others are compared against.
Read the docs: Evaluate experiments in Varify.ioCreate segments to reach specific users in a dedicated interface. It supports targeting by device, browser and IP address. Targeting via JavaScript is still possible.
Read the docs: Audience TargetingServer calls can be configured so that the initial request is routed through your own subdomain instead of app.varify.io.
Read the docs: CNAMEDecide when the permanent variation assignment takes place and when the tracking events are sent to your web analytics tool.
Read the docs: Send data to your web analytics tool only after user consentIncrease the security of your login by activating multi-factor authentication.
Read the docs: Multi Factor Authentication (MFA)Control and manage your experiments via the Experiment API.
Read the docs: Experiment APIThe GA4 tracking setup now shows a notice if Google Signals is activated.
Read the docs: Google SignalsEach experiment report now shows details such as test start and test end.
Read the docs: Evaluate experiments in Varify.ioIn the reporting view of your experiments, you can now filter your results by device and by new or returning users.
Read the docs: Segment and filter reportsIn addition to GA4, you can now analyze the raw data in BigQuery directly. Select the events you want to compare across the variations of your experiment from a drop-down menu.
Read the docs: BigQuery integration in VarifySort your experiments by update or creation date. Pagination has also been improved.
Read the docs: Experiment DashboardThe Chrome extension shows the active experiments on every page and lets you switch between the variations of an experiment.
Read the docs: Chrome browser extensionThe editor URL can now be edited later. This helps when you want to open the editor on other URLs that are also part of the experiment.
Read the docs: Edit experiment URLArchive the experiments you no longer need. Their GA4 audiences are archived in GA4 automatically, so only the audiences in use stay active and you stay below the GA4 limit of 100 audiences.
Read the docs: Archive experimentsAdjust the margin or padding of the elements on your website.
Read the docs: Style & Layout ChangesIf your transaction IDs are set up in GA4, your revenue goals now show a significance calculation.
Read the docs: How Varify calculates the significanceHover over a styling option in the floating editor to see its name.
Varify experiments can now also be analyzed and evaluated directly in etracker.
Read the docs: etracker integrationThe start date of an experiment is now preselected in the reports, and the revenue metrics show the average revenue per user (ARPU).
Read the docs: Evaluate experiments in Varify.ioEvaluate your A/B tests directly in Varify. Newly created experiments get their own reporting page that calculates the uplift and the significance of each variation.
Read the docs: Evaluate experiments in Varify.ioUse the breadcrumb selector to select the elements above or below the current one.
Read the docs: Breadcrumb SelectorTracking can now be deactivated for individual experiments to save tracking requests.
Add the Varify force URL parameter to assign yourself to any variation.
Read the docs: Change variation assignment manuallyChange the order of the elements in a container by swapping them.
Read the docs: Move elementsUse “Add HTML” to add new content anywhere on your website. The user documentation contains ready-made templates you can use.
Read the docs: Add HTMLVarify now provides an anti-flicker script that prevents the page from flickering while a variation loads.
Read the docs: Anti flicker scriptSplit URL tests (redirects) can now be evaluated just like all other A/B tests, without going through the page location.
Read the docs: Redirect & Split URL TestingChanges in the visual editor can now also be applied to custom selectors.
Read the docs: Custom Selector PickerYou can now duplicate existing variations and rename them.
Read the docs: Duplicating experiments and variationsThis integration connects Varify with Snowplow, so you can use your experiment data there.
Create as many variations as you need within a single experiment.
Read the docs: Experiment with several variationsThe Varify Chrome extension makes quality assurance quick and easy.
Read the docs: Test Varify with the Chrome extensionThis integration connects Varify with Matomo, so you can use your experiment data there.
Read the docs: Matomo - Integration via Matomo Tag ManagerDue to policy changes at Google, scripts are now inserted directly instead of using the account ID.
Read the docs: Chrome browser extensionFor testing, localhost and *.shopifypreview.com addresses can now be opened in the Varify editor.
The first version of the significance calculator for evaluating your A/B tests is available.
Read the docs: How Varify calculates the significanceStart or pause A/B tests with a single click, and check the status, live or paused, with the new indicator.
Read the docs: Starting, pausing and ending experimentsSimple step-by-step tutorials for setting up the platform and tracking now supplement the documentation.
Read the docs: Step-by-step tutorials