
The PageSense team is back for another round of Ask the Experts!
We'd love to answer any questions you might have on PageSense, conversion optimization best practices, and creating personalized experiences for your visitors. Here's everything you need to know about PageSense ATE #2:
When: October 10, 2019 between 7.00 AM to 12.00 PM PDT
Where: Right here! In the comments section of this post!
How can you participate:
- You can ask us your questions during the time we're actively answering them (on October 10, 2019, between 7.00 AM to 12.00 PM PDT).
- Add your questions as comments under this post.
- Note: If you can't see an option to comment below, please click on Sign in on the top-right corner of the screen and the comment section should pop right up.
A couple of sample questions to get you started:
- How do I use Custom Goals from PageSense's Goals module?
- How do you assign a visitor a particular variation in A/B tests?
- Will adding the tracking code to my website affect its speed?
Do not limit yourselves to just these samples, feel free to ask our team anything PageSense!
We're excited to hear from you and help you with any queries that you might have. Make sure you drop a comment below!
Cheers,
Tanya
Funnel Analysis
1. I'm not sure how to use this feature yet.
You can use funnel analysis to breakdown a visitor's journey on your website. For example, you can create a funnel with four steps:
Step 1: Home page
Step 2: Product page
Step 3: Add to cart page
Step 4: Successful checkout
All you have to do in PageSense is to add the URL of these four pages and launch the funnel analysis. Once it is live, we will start tracking the visitors' flow through these ordered steps. You can use this information to find the page with the most drop-offs, and begin optimizing it using A/B test or split URL test. Here's how you can create a funnel analysis using PageSense.
2. I'm not sure how to use the custom event option as a funnel step.
If you want to track a funnel step that doesn't have any page navigation, you can use custom event to achieve it. For example: Pop-ups, Button click with successful Ajax transaction(Add to Cart button).
Implementation:
To trigger a funnel once Signup popup is opened:
- function showSignupPopup() {
- //Code to display popup
- var popup = document.getElementById("signup-popup");
- popup.style.display = "block";
- //Code to trigger custom event
- window.pagesense = window.pagesense || [];
- window.pagesense.push(['trackEvent', 'signup-popup-viewed']);
- }
To track Add to cart event on ajax success as a custom step:
- function addToCart() {
- $.ajax( {
- "url" : http://zylker.online/addtocart/,
- "type" : "POST"
- }).success(function() {
- //Code to trigger custom event
- window.pagesense = window.pagesense || [];
- window.pagesense.push(['trackEvent', 'new-signup']);
- })
- }
3. How do you calculate drop-offs from a funnel step?
Drop-offs are calculated based on any of the following 2 conditions:
1. If a visitor haven't achieved the particular step at all
For example: Consider if the funnel is having 3 steps A=>B=>C
and consider the following visitors
Visitor 1 achieved A=>B=>C
Visitor 2 achieved A=>B
Step A will have 100% conversion rate and no dropoffs.
Step B will have 50% conversion rate and 50% dropoff as Visitor 2 haven't achieved Step C.
2. The visitor haven't achieved the steps in configured order
For example: Consider if the funnel is having 3 steps A=>B=>C
and consider the following visitors
Visitor 1 achieved A=>B=>C
Visitor 2 achieved A=>C=>B
Step A will have 100% conversion rate and no dropoffs
Because, Visitor 1 & 2 have travelled A=>B one after another as per configured order. Other steps/pages can also be visited in between path A=>B.
Step B will have 50% conversion rate and 50% dropoff
Because, Visitor 2 haven't achieved Step C after achieving Step B.
4. I would like to include / exclude users based on cookie settings
Currently, we don't support audience targeting based on Cookie value in Funnel Analysis.
1. I've used other tools for tracking goals like Google analytics, Mixpanel, KissMetrics, just to name a few. They all work the same as far as, they all need you to copy the tracking pixel on your thank page so the conversion gets triggered. But I do not see that here on PageSense.
PageSense tracks all the pages on which you've added our tracking code. So, that means, goals like click on elements, click on links, and time spent on page are tracked without adding any extra piece of code. However, if you wish to track a custom event, say, a successful form submission, then you can create a custom event goal. When you create a new custom event, you will be shown a code snippet that tracks its success. You just have to add this new custom event code in the section you wish to track, (in this case: a successful submission response), and you're done. Here's how you can create a custom event goal in PageSense.
Heatmap
1. I'm not sure how to use this feature yet.
A heatmap will show you where your visitors have clicked on the web page, how far down the page they've scrolled (scrollmap), and the time they've spent across the various sections of your web page. The only thing you need to run a heatmap is a website. Just enter the URL of the page you wish to heatmap, and launch the experiment. The data points are tracked in real time. However, we suggested you give the heatmap a couple of days to collect substantial visits, so that you can derive actionable insights from it. Here's a detailed how-to for creating a heatmap for your website using PageSense.
2. How do I create a single heatmap experiment for all the pages on my website?
All the pages of a website can be configured under a single Heatmap experiment using the "URL Targeting" feature. While creating an experiment, you can toggle the "Advanced" option and can specify the pages for which the data should be tracked in the "Include URLs" field. It can either be all the pages or a set of multiple pages. Similarly, the pages for which the data should not be tracked can also be configured in the "exclude URLs" field. Here's how you can run a heatmap on multiple pages at the same time.
Polls
1. Is it possible to download all the responses?
Yes, it is possible to download all the responses received for a Poll. In the Reports section of each poll experiment, there is a provision to export all the responses received for that particular poll, as a CSV file.
A/B Test
1. I'm not sure how to use this feature yet.
2. Is there a minimum per month visitor count my website needs to have to run an A/B test?
In PageSense, there is no minimum visitors count required to create and run an A/B test. However, for the experiment's result to reach a statistical significance, the number of conversions recorded per variation is an important metric. And this metric is heavily dependent on the number of visitors a variation gets and the duration for which the test is run.
Split URL test
1. I'm not sure how to use this feature yet.
A split URL test is a version of an A/B test that involves a complete design overhaul of the original page while maintaining its core idea. This means, you run a test between two or more pages, each with a unique URL, to find the one that gets more conversions. But you should note that each of these pages should be grounded in a common purpose. For example, you have a case-study page with a form that asks visitors for their email ID so that they can receive product updates. You can run a split URL test with a version that has gated content and one that doesn't to test which one generates a greater number of valid leads. Here's a document that will help you set up a split URL test in PageSense from scratch.
2. Is there a minimum per month visitor count my website needs to have to run a split URL test?
In PageSense, there is no minimum visitors count required to create and run a Split URL test. However, for the experiment's result to reach a statistical significance, the number of conversions recorded per variation is an important metric. And this metric is heavily dependent on the number of visitors a variation gets and the duration for which the test is run.
3. I want to know how you choose which variation to serve.
When a visitor lands at an experiment configured page for the first time, we use Javascript's Math.random() function to choose a variation for that particular visitor. The traffic allocated for each variation is an important metric in this calculation. The traffic allocation of all the variations ideally adds up to 100. So, we split the numbers 1-100 into multiple(number equal to the number of variations) buckets and each bucket is sized with respect to the traffic allocated for each variation. And when the Math.random() Javascript function returns a number between 1-100, the variation corresponding to the bucket within which the number falls would be chosen for that visitor. And once a variation is set for a visitor, we store the selected variation in the browser's cookie, to make sure that the same variation is served whenever the visitor revisits.
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