How to choose your target audience for a test in Zoho PageSense | Help Guide

Targeting specific audience segments in your experiment

Audience segmentation in PageSense typically means dividing or grouping website visitors into subgroups and subcategories based on a common set of characteristics, behavior, needs, and values. For example, you can segment users based on the device they use to access the website, the referral site that directs them to your web page, their geographical location, and so on. With the help of this segmentation option, you can target the right group of audience for your campaigns and journeys, and later slice and dice the report's data based on the segments you have defined for it. When you target a visitor segment in your experiment, the visitors who meet the segment's conditions are only eligible and be included in the experiment. Deciding which audience groups or segments to target in your experiment is the most effective and efficient strategy used by today's marketers to establish more tangible connections with a highly convertible or dedicated group of potential customers on your website. It's also the best way to understand how specific segments of the population are using your website, and further customize your products or services to suit their requirements.
For example, you might want to target your A/B experiment for visitors who see your Facebook ads, or you might want to only show personalization experience to visitors accessing your website from Canada. In such cases, targeting visitors based on unique business needs rather than entire visitors on your site can help deliver the right content to the right people, and improve your marketing efforts in the future. 

Here are a few key benefits of targeting your experiment based on audience groups:

  1. Get a deeper understanding of customers, and reach them with specific needs and wants
  2. Tailor your messages to resonate with your target groups’ interests, emotions, and behavior
  3. Improve products or services and achieve higher conversion rates
  4. Quickly build stronger connections and brand identity
  5. Increase the level of visitor engagement
  6. Accelerate sales.
There are two types of audience segments available in PageSense under the AUDIENCE tab of your experiment:
  1. Preset segments
  2. Custom segments

Types of preset audience segments

These are the predefined set of audience segmentation options available in PageSense. They can be used to readily target visitors in a specific experiment. 


Direct visitors

Your experiment targets all the visitors who land or access your website by directly typing the URL of your web page in their address bar or through a bookmark link. Direct traffic helps you learn how many of your visitors have real affinity towards your products and services on your website, and the reach of your business across the globe. These visitors are likely to be amongst your website's most loyal and engaged users. Using this metric, you can assess your brand's strength and create awareness of your products.
Your experiment targets visitors who reach your website via paid advertisement campaigns that you run through ad services such as Google ads, Facebook ads, pay per clicks, or banner ads. Paid campaigns usually contain UTM parameters like utm_source and  utm_campaign, which can be used to target specific audience segments for your experiment.
Example:
Say you want to show a personalized experience to people coming to your website through a promotional Facebook ad campaign named "Winter_clearance_sale". 
Using paid campaigns targeting, you can quickly learn the performance metrics of all visitors who achieved a desired goal after entering your website through the different ad campaigns that you ran for your website.  A website that generates a large amount of traffic from paid search is spending advertising budgets to target relevant audiences, increase conversion rates, and increase brand awareness. This also helps you understand what your audience is searching for, and how your website content can benefit their searches by showing relevant landing pages, products and solutions they were looking for.

Organic search traffic 

Your experiment targets all visitors who come to your website through search results manually typed in search engines, such as Google, Bing, or Yahoo. Organic traffic is free traffic obtained on your website that is not referred by other sources, and is the most preferable type of traffic for business owners. 
Example:
Say you want to target your session recording experiment on the new series of landing pages, for visitors coming through organic search traffic.
Using these metrics, you can view which specific landing page gets the highest visitor clicks and visibility during organic search. Later, you can fine tune your content or keywords to meet the needs of your target audiences on this page.

Social traffic

Your experiment targets all visitors who come to your website from social media platforms, such as Facebook, Google +, Twitter, Linkedin, and Pinterest. This type of targeting helps you to measure the effectiveness of your social media advertisement campaigns across individual social platforms, as well as discover the top posts and links that drive most traffic to your business. 
Example:
Say you want your experiment to target visitors who land on your homepage by clicking on the Facebook post promoting your brand's customized t-shirt offers.
Using these insights, you can plan, design, and focus on your marketing budget and advertising strategies based on the individuals that make up your market. This could soon be your business’s biggest source of referral traffic. Choosing the social traffic target, you can analyze the performance of visitors from the social media channels, and improve the experience they have with your products. 

Referral traffic

Your experiment targets all visitors who come to your website through links placed on a different website. These metrics can help you find the top referral sites that send traffic to your business website, and focus your future marketing efforts and resources on these websites to promote your business.
Example:
Say you want your experiment to target visitors from different referral sources coming to your website's homepage.
Using the Referral Traffic segmentation is a great way to reach a specific audience and serve them ads that are more relevant to their needs. 

Mobile and tablet traffic

Your experiment targets all visitors who reach your website through mobile devices or tablets. Testing your website on every single device can consume a substantial amount of time. Using this segmentation, you can find out if your website pages are responsive on mobile or tablet devices, and see how the performance and traffic differ between various device types. This also helps to create ad campaigns to target mobile visitors. 
Example:
Say you want to track the performance of the 'Sign up' button on your website for visitors accessing the page through mobile and tablet devices.
This data can help you pinpoint bugs and issues, such as poor readability of text and clarity of CTA buttons, that are related to smaller screens like tablets and mobiles. You can also focus on the leads obtained on specific device types, and get them back to your site with attractive offers. 

Desktop traffic

Your experiment targets all visitors who reach your website via desktop devices. Visitors are usually more inclined to browse content and products from a desktop, because it’s more convenient and responsive. Using desktop targeting, you can serve customized ads for desktop devices to increase the engagement and conversion rate on them.
Example:
Say you want to run an A/B test version of your welcome campaign for desktop visitors on your ecommerce site.
This style of targeting and showing customized messages to visitors on different devices can help attract first time customers instantly, sell your products services rapidly, and increase revenue on your site.

New visitors

Your experiment targets all new or first-time visitors to your website. When it comes to selling things online, the more you know about which products a specific visitor type (new or returning) searches for on your website, the better your chances are of maximizing your profit. This type of segmentation can help you compare the behavior of new and returning visitors on a webpage and further understand which content is most popular among the new users, what makes the new visitors leave your website and which types contribute the highest traffic to your website.
Example:
Say you want your experiment to target promotional banners and discount coupons for new visitors on your travel website.  
Using the new visitor segmentation, you can analyze the difficult areas on your website for new subscribers, learn which type of visitors were most interested in your business, and how their behavior differed on each web page.

Returning Visitors

Your experiment targets all visitors who return to your website after a first time visit. This type of segmentation helps you see if returning visitors make a larger number of transactions and larger revenue in your business compared to new visitors. 
Example:
Say you want to target your experiment with customized product promotional offers for returning visitors on your site to drive more sales on your ecommerce site.
Using the Returning Visitors segmentation option, you can analyze whether returning visitors engage and convert more on your site compared to new ones, as well as which barriers stop them from making a new purchase or completing a form.

Create custom audience segments

Zoho PageSense's audience segmentation option allows you to tailor-make your audience segments by defining who and where your experiment should be running using the +Custom Audience button. This feature lets your experiment target a more complex and precise set of audiences according to various factors, such as age, interests, gender, geography, or industry, which cannot be done with the preset segmentation options. 

For instance, let's assume that you own an ecommerce site, and you want to analyze the buyer behavior of Apple phone users at a particular time of the day in a particular city. This could be done easily by manually creating custom audience segments in PageSense.

To create a custom audience segment:
1. Click the
+Custom audience button under the AUDIENCE page of your experiment.



2. Enter a Name and Description for your custom audience in the text box.


3. From the Segment dropdown, select the preferred audience group you want your experiment to target. Learn more about the different types of custom audience segments available in PageSense.



4. Choose the Modifier and Value for the selected segment condition in the text fields such as URL details, query parameters, or location. There are eight types of conditions you can use to target your audience.
For example, say you want to target your A/B experiment to visitors who land on your website through organic traffic sources.
There are eight types of modifier conditions you can choose from:
  1. Equals: This condition evaluates as true when the entered value is equal to the numeric value or string you specify in the Value field. For example, say you want your A/B experiment to target all visitors located in "United States". In this case, you would use "Equals" to the United States.

  2. Not equals: This condition evaluates as true when the entered value does not equal the numeric value or string you specify in the value field. For example, say you want your experiment to exclude all visitors from the location "United States", you would use "Not equals" to "United States".

  3. Contains: This condition evaluates as true when the URL contains the strings or sub strings entered in the value field. For example, say you wan your experiment to target all visitors from a particular product category 'camping' on your ecommerce site, you would use "Contains" with string "camping".

  4. Does not contain: This condition evaluates as true when the URL does not contain the string or sub string entered in the value field. 

For example, say you want your experiment to exclude website visitors from the product page 'mobilephone' on  your ecommerce site, you would use "does not contains" with string "mobilephones".
           
  1. Empty: This condition evaluates as true when the entered value of the parameter is empty in the URL.
    For example, say you want your experiment to target when the value of the param1 is empty in the query parameter in your URL:
    http://www.zylkerfashions.com/path?param1=

  • Is not empty: This condition evaluates as true when the entered value of the parameter is not empty and has some value in the URL. 

    For example, say you want your experiment to target when the value of the param1 is not empty, and includes some value in the query parameter in your URL: http://www.zylkerfashions.com/path?param1=x

  • Achieved: This condition evaluates as true when the specified action is completed or fulfilled by the visitor on a web page. For example, say you want your experiment to target visitors who completed the purchase of a particular product on your ecommerce website, you would use "Achieved" "Purchased." 

    Note that this operator will only be available for the User and Visitor Activity parameters.

  • Not achieved: This condition evaluates as true when the specific action is not completed or fulfilled by the visitor on a webpage. For example, say you want your experiment to target visitors who have not completed the payment or purchase on your ecommerce website, you would use  "Not Achieved" "Purchased."

    Note that this condition will only be available for targeting using the User and Visitor Activity parameters.

  • Is undefined: This condition evaluates as true when the value key information and value you entered is not available (or undefined) in your URL. 

    For example, say you want to target your experiment where the value of the param1 is undefined in the URL: http://www.zylkerfashions.com/path?param2=x
    Note that this condition will only be available for targeting using JS Variable option.

5. To create a complex visitor segment, click + and choose the AND or OR operators to define your conditions.

Example:
Say that, along with the audience segment created above, you want to target and run your A/B experiment to new (or first time) visitors coming through organic search traffic.

Note:
  1. The AND operator is useful when you wish to target the audience based on multiple rules that all need to be true. Conditions using the AND operator will only evaluate as true when all of the values are met.
    Example: 
    Condition 1:
    The URL equals https://store.google.com/product/nexus_9
    AND
    Condition 02:
    Country equals the United States.
  • The OR operator is useful for targeting multiple values where only one needs to be true for the condition to evaluate as true. Conditions using the OR operator will evaluate as true when any of the values are met. 
    Example: Country equals United States OR Canada.

6. Click the + NEW GROUP button to define multiple conditions for a segment, and logically group your segment conditions.
Say that, along with the audience group created above, you want to target visitors based on returning visitors who are located in U.S. You can create your new audience group by selecting Returning Visitors in Visitor Type and United States in Location, as shown in the figure below.



7.
 
Click the Save Audience button. 


Note:
  1. The saved segment will appear under the Custom Segments section across all of your experiments in PageSense and you can apply the same for any test.
  2. Currently, you can't delete a custom audience segment that you've created for an experiment.


Types of custom audience segments

You can choose from any of the following visitor parameters to create a custom audience segment in PageSense to target with your experiment.

Current URL

Segment and target your experiment based on a particular URL your visitor lands on the website. 

Example:
Say you have set up a session recording for your entire ecommerce domain 'https://zylkerfashionstore.com/' and you want your session to target visitors landing on the product pages of your site' https://zylkerfashionstore.com/products.'
Key takeaway:
  1. By looking at traffic levels, user engagement, and goal completions on a specific page in your experiment, you can determine how well individual pages on your website contribute to the success of your business.
  1. Using this type of targeting, you can more easily pinpoint underperforming pages on your website that may not be worthwhile to continue, or may need a few minor design or content changes.

Referral URL

A referral URL is the webpage that contains links to your business website, sending back traffic to you. The option allows you to activate (or exclude) your experiment based on the referral URL sources that your visitors came from. This includes Facebook, Google, Twitter, Quora, influencer blogs, and other external sites that indirectly drive traffic to your site. Depending on the ways you market your website online, you will likely have numerous other referral paths to dig into to learn more about which URL drove the most or fewest visitors to your business website. On PageSense, you can easily target your experiment to understand which specific referral URL sends the most traffic, and later promote your website and products on these channels.
Example:
Say you own an ecommerce site, and you want your experiment to only target visitors coming from a specific referrer URL 'www.example.com/flash-sale-2019' to analyze whether this traffic was able to make a successful purchase and contribute to your business revenue.

Key takeaway:
  • Referral URL targeting allows you to aggregate metrics and measure the impact from social media traffic, PR placements, business listing sites, and other site URLs linking back to your own website, so you can understand which to focus on in future efforts.  

  • Decide which link on your advertisement poster work better than another, and figure out whether a link to your blog page got more clicks than a link to your homepage.

Query Parameter

Segment and target your visitors based on the value of the query parameter mentioned in the URL. This means all visitors who match the given query condition in the URL will be included or excluded in your experiment. A query parameter is a string (set of parameters) used to define any specific content or actions in your website, based on the data passed in the URL address. These query strings are indicated with a question mark, and come after the actual URL path, such as:
http://zylkerfashions.com/products
?utm_campaign=winter_sale
https://wwwzylkerstore.com/mobiles/search?q=below30k 
http://zylkerstore.com/home?utm_source=google&utm_medium=email
http://zylkerfashions.com/shoes?type=sneakers&color=red
http://zylker.com/blog/article?page=2. 

Example:
Say you want your experiment to target visitors who search for Pixel phones on your website with the URL structure: https://www.zylkerfashions.com/store/search?q=pixelphone

Key takeaway: 
  • Quickly understand what type of campaign, such as Adwords or Facebook, attracts the most traffic to your website.

  • Refine and organize your content or offers to provide the best website experience to visitors.

Traffic source

Target your experiment based on the traffic source that the visitor has come from, such as Direct Visitors, Referral Traffic, Social Traffic, Organic Search, and Paid Campaigns. Segmenting visitors based on traffic sources allow you to see which specific traffic source is driving the most (or least) traffic to your experiment pages, then identify their impact on the conversions.  
Example:
Say you own an ecommerce site, and want to target your A/B experiment for people coming through social media sites.

Key takeaway:
  • Proactively monitor how your traffic sources are performing, so that you can make marketing decisions and stop working with sources that appear to be sending bad traffic.

  • Understand where visitors come from and what channels to optimize for to improve your business's reach across the globe. 

Location

Create audience segments based on the geographical location that visitors come from. If you have your business operating across multiple geographical locations, then using the Location-based targeting is the best option to understand which city or country markets are good for your business, and where you may need to improve marketing or sales services in the future. Later, you can use this date to focus on boosting traffic and increasing revenue in each of these specific regions. 
Note: PageSense allows you to create location-based target segments up to the level of major city, country, state, region, or continent.
Example:
Say you own an ecommerce site, and you want to show personalized product recommendations to visitors from the United States based on the local festival celebrated. 


Key takeaway:
  • Optimize your website pages for visitors from different parts of the world to help reach your business objective.

  • Summarize the performance of your ad campaigns by location based metrics.

  • Measure the profit or loss of your online business across global customers.  

  • Divide your customer base based on geographic locations and target the right set of users to increase sales or revenue.

Device type

Target your experiment based on the devices visitors use to access your experiment page, such as desktop, mobile phones, and tablets. Not all of your users will browse your website in the same way. People use desktop and mobile devices differently, and your website needs to accommodate both. Targeting your experiment based on device type helps you understand the requirements of visitors on different devices, and make the needed changes, like formatting the content or position of the CTA button on the mobile version of your site for smaller screens.
Example:
Say you want to target your session recordings for the 'homepage' page to the desktop visitors on your website.  

Key takeaway:
  • Understand which specific device is getting the most (or fewest) conversions and engagement on your website from your visitors.

  • Target your ad based on the devices used by visitors.

  • Optimize a particular message for mobile, desktop, tablet, or other device, so that visitors can easily tap through a survey, image, or button, and increase the chances of retaining your customers' across different devices.

Visitor type

Target your experiment based on type of visitor coming to your site: returning and new visitors. A new visitor is someone who visits your website for the first time, and a returning visitor is a person who has already been to your website. With the visitor type segmentation in PageSense, you can run (or exclude) your experiment based on whether a visitor is new or returning on your website, and see which type have a higher engagement, conversion rate, and sales numbers.

Example:
Say you want to A/B test a 'Spin the wheel' contest for all the new visitors coming to your homepage.

Key takeaway:
  • Understand which type of visitors were most interested in your business and how their behavior differed on each web page.

  • Analyze the areas of difficulties, such as poor navigation buttons or CTA on your website for new subscribers, then simplify it for the first-time visitors.

Browser type

Target your experiment based on browsers used by visitors to access the webpage. It includes options such as Firefox, Google Chrome, Internet Explorer, Safari, Edge, and others. This targeting option can help you identify any technical or UX issues on a specific browser, and check why the conversion rate, transactions, and revenue is less with visitors using a particular browser compared to others.

Example:
Say you own a travel site, and you want to target your session recording to visitors who are using a Firefox browser.

Key takeaway:
  • Conduct UX research to identify friction points and reduce distractions based on browser types. Find out which versions of this browser is causing the most damage.

  • Identify pages with slow load times. Why are they loading slowly? Are your images or videos too large? Are third-party apps slowing down your site overall?

  • Create hypotheses for issues that need to be tested and begin A/B testing on these CTA, navigation buttons, and other elements.

Operating System

Target your experiment based on the operating system your visitors use to access your website. This will help you examine whether a specific variant of an OS may be having issues, such as displaying content on your site or allowing users to interact with pages as intended. The more you know about the visitor's behavior over an OS, the easier it is to resolve problems and keep your experiments running smoothly.  
Example:
Suppose you own an ecommerce site, and you want to target your 'new year sale' push notification specifically for Mac OS users. 


Key takeaway:
Focus on optimizing the UX such as open or close buttons for the specific operating system and deliver the most relevant experience for each OS. 

Day of the week

Use your experiment to target visitors who access your web page on specific days of the week. Understanding the specific days at which your traffic and conversion rates are higher, then scheduling your marketing strategies based on that data, can be an efficient way to drive your online business.

Example:
Say you own an ecommerce site and you want your experiment to target visitors coming to your website towards the end of the week like Saturday, and Sunday.

Key takeaway:

This is a great way to figure out what days your traffic and conversions are higher, and understand the perfect days to run your ad campaigns.

Hour of the day

Run your test for visitors who access your web page within specific hours of the day. On PageSense, in addition to creating audience segments based on specific day of the week, you can also create and target your experiment by the hour of the day. This helps you find out the best time of the day to advertise your promotional content and run campaigns. You can also remove certain times of day data in your experiment if they perform worse for you. This data is related to the timezone you have specified in your user account.
Example:
Say you own an online restaurant, and you want to target your popup with exciting offers at exactly 4:00 pm every day.

Key takeaway:
  • Schedule your advertisement emails, paid or non paid campaigns, and other bulk marketing efforts so they are delivered on peak hours, where there are higher chances of your audience converting.

  • Compare how users in different times of the day behave on your website, the amount of time spent by them during the morning hours versus after working hours, and if you need to run your campaign for a longer duration for a day to obtain higher conversions. 

Google Ads is a great way to reach more leads that are interested in your business, which will drive better results with your campaign. The PageSense integration with Google Ads enables you to easily target your experiments based on specific ad groups and campaigns that users click or see on Google. After adding the integration, you can select this option, the modifier (equals/not equals), and the name of the ad campaign to target only those visitors who reach your experiment page through the particular campaign. 
Example:
Say you own an online food delivery website, and want to run experiments on each landing page of your website tailored to the needs of audiences coming from your Google Ads campaigns.
Key takeaway:
  • Advertising your products or services based on visitors targeted from specific Google Ads helps increase sales to the people who really want to buy.

  • Targeting based on ads gives your website instant visibility, and brings awareness at an instant cost.

  • Helps marketers understand what worked and what didn’t in your current ad campaign. Using this information, you can then tweak your campaigns until you achieve optimal results.

Mobile OS

Target your experiment based on the mobile OS your visitors use to access your web page, such as Android, iOS, or Blackberry. With websites attracting significant traffic from mobile devices, having a great mobile experience has become a prerequisite. By using your experiment to target a specific mobile OS, you can learn which mobile OS attracts high traffic, and what works best for Android that often does not work for iOS. Later, you can concentrate your website experience for visitors using a particular mobile OS.
For example: 
Say you want your session recordings to target visitors accessing your website on Android OS phones.

Key takeaway:
  • Treat each device’s OS user experience separately, and don't generalize your test results across mobile devices.

  • Be aware of the speed and error reports encountered on your site based on the mobile's operating system, and fix the problem quickly.

  • Identify content that isn’t critical and can be hidden for mobile (such as pop-up widgets, feedback forms). The less important the content, the easier it is to keep a user’s focus on the important stuff.

JS Variable

On PageSense, you can target experiment pages based on the Javascript variable value stored on your web page. You can use this type of targeting if you can find the value you're looking for in the source code of the web page in the form of a JavaScript variable. For example, information such as cart value, login status, and page details that are stored in JavaScript variables can be used to serve experiments based on these values using JavaScript variable targeting.

To create a custom segment using JS variable:
1. Write a valid JS condition with the variable that has the information you want your experiment to target, then add this condition before the PageSense code snippet on your website. 
The defined variable is used to check for the JS variable condition, and send the required user data to Zoho PageSense from your website.
Example:
Say you own an ecommerce site, and want your A/B experiment to specifically target the logged-in visitors, in order to display a customized product page with promotional offers and items. This can be done by writing a JavaScript condition with a variable that has the information about whether a visitor is logged in or not. Refer to the following screenshot for example code to achieve this targeting. logged_in == yes.
2. Click the +Custom Segment button under the AUDIENCE tab of the experiment you want to create the custom segment for.

3.
 
Enter a Name and Description for your custom audience in the text box.

4.
 
From the Segment dropdown, choose JS Variable, then enter the corresponding Key, Modifier, and Value for targeting, as per the Javascript condition you defined on your website.


The targeting condition will now evaluate as true for visitors if the value of the logged_in variable is equal to "yes".
This condition will evaluate false if the value of the logged_in variable is not equal to "yes".
5. To create a complex visitor segment, click + and choose the AND or OR operators to define your conditions.

6. Finally, click Save Audience button. 
The saved segment will appear under the Custom Segments section across all of your experiments in PageSense You can apply this segment for any test.
Key takeaway:
Deliver interactive content to a specific audience based on a set of user-defined rules and criteria, such as their interests and behaviors on your website. 

User Information

In PageSense, you can target and run your experiment based on the visitors' data collected on your website, such as their name, email address, gender, age, language, purchase plan, or industry type. To implement this custom dimension segmentation option in PageSense, you need to add an additional code snippet to your experiment page. Later, you can create your custom segment and run your experiment for visitors who match the defined user conditions you set. Note that your user information will be collected and stored in PageSense even when there is no experiment running on your website. Learn how to target your experiment based on user information in PageSense.
Currently, this custom audience segment can be used ONLY to target visitors in personalization experiments. However, the same segmentation option is available under report filtering across all of the experiments in PageSense except for push notifications. Learn how to filter reports based on user information.

Visitor activity

In PageSense, you can target your experiment based on the actions taken (or not taken) by your visitor on the website. This includes CTA button clicks, purchase made, newsletter subscriptions, feature use, and other actions during their journey on your website. Every single visitor landing on your website is unique, and each one will react differently to your marketing campaign or business goal. Using such specific visitor metrics, your team can now focus on those power users, shopaholics, and gaming enthusiasts to give them more of what they want. To implement this custom dimension in PageSense, you need to add an additional code snippet to your experiment page. Learn how to target your experiment based on visitor activity in PageSense.
Currently, this custom segment can be used ONLY to target visitors in personalization experiments. However, the same segmentation option is available under report filtering across all of the experiments in PageSense except for push notifications. Learn how to filter reports based on visitor activity.

Weather
Target your experiment based on the local weather of the visitors coming to your website. Weather-based audience targeting is one of the modern techniques used by marketers to drive traffic and increase customer engagement and revenue at your business. This is a practice of tailoring influential messages and product pages to visitors based on local temperatures or weather conditions. 
Currently, this audience targeting option is available ONLY for Personalization experiment in PageSense.
Example:
Say you run an air conditioner business online, and you want to serve advertisements to visitors who live in the hot region with a temperature above 30 degree Celsius. 

Key takeaway:
  • Lets you connect with your customers instantly and deepen your relationship based on what’s happening all around them.

  • Weather-based targeting helps enhance sales during certain seasons or days of the week.

Combine multiple audience segments

In PageSense, apart from applying the readily available audience segmentation options, you can also build new combinations of audience segments that you want to include or exclude from your experiment. Combining audiences are an effective targeting option that allows you to merge multiple audience segments that match with your visitor's personas and your business goals.

Example 01: Target experiment based on weather and visitor type

Say you have your ecommerce site operating across multiple geographical locations around the world, and you want to show a customized homepage offers to visitors based on the local weather condition. Further, also show this experience only to new visitors coming to your site.
For instance, people from India living in the hot region with a temperature greater than 30 degree Celsius can be shown products like cotton sunglasses, air conditioners, and swimwear.
This type of audience targeting will help to boost traffic and sales from a specific country, or even down to a city, depending on changing climatic conditions of visitors. Use the steps below to create your custom audience segment that your experiment uses to target visitors based on the Weather and Visitor Type options, as shown below.

1. Click the +Custom audience button under the AUDIENCE page of your experiment.

2. Enter a Name and Description for your custom audience in the text box.

3. From the
Segment dropdown, choose Weather then enter the corresponding Modifier as is greater than, and Value as 30 Celsius within the specific fields, for targeting your audience.


4. Click the + icon and choose the AND operator to define the next condition.

5. From the Segment dropdown, choose Visitor Type then enter the corresponding Modifier as equals and Value as New for targeting your first time visitors as shown in the figure below. 


6. Click the 
Save Audience button. 
The saved segment will appear under the Custom Segments section across all of your experiments in PageSense. You can apply this for any test. 

Example 02: Target experiment based on language and device type

Say you own an elearning website, and you want to show a promotional banner on the new english language course to a set of audiences who are non-native speakers of English, for example, Spanish, French, Chinese, Arabic, Portuguese and others and who access your website on smartphone devices.

Use the steps below to create your custom audience segment that targets your experiment to visitors based on the Device and User options, as shown below.

1. Define the user data you want your experiment to target, and add the custom JavaScript in the format shown below to your website.
Based on our example, add the visitors' native language that you want to track and send data 
to Zoho PageSense from your website. 

Format:
<script>
window.pagesense = window.pagesense || [];
window.pagesense.push(['trackUser', <<User Information Json>> ]);  
</script>

Example:
<script>
window.pagesense = window.pagesense || [];
window.pagesense.push(['trackUser', {'native_language':'English'} ]);
</script>


2. Click the +Custom audience button under the AUDIENCE page of your experiment.

















3. Enter a Name and Description for your custom audience in the text box.

4. From the Segment dropdown, choose User then enter the corresponding Key as native_langauge, Modifier as not equals, and Value as English as shown in the figure below.


5.
 
Click + and choose the AND operator to definethe next audience condition.

6. From the Segment dropdown, choose Device then enter the corresponding Modifier as equals and Value as Mobile for targeting your audience as shown in the figure below.


7. Click the Save Audience button. 
The saved segment will appear under the Custom Segments section across all of your experiments in PageSense. You can apply this for any test.

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