Unlocking the power of 360-degree visitor personalization

Truly personalized experiences, engaging content, and compelling value propositions depend on understanding your visitors’ real-time needs, preferences, and interests. This starts with a 360-degree view—a complete and actionable profile built by integrating data from all touchpoints.

Let’s discuss how to successfully map your data and achieve a 360-degree customer view for enhanced visitor understanding and successful personalization. This is a crucial process, so let’s break it down into key steps:

Visitor Data Categories:

• Visitor Identity Data: At the core of visitor understanding is identity data, which allows you to recognize and track individuals across multiple devices, maintaining a unified and current view of their interactions.
  • Examples: Email address, username, customer ID, hashed/anonymized identifiers for privacy. Crucially, you need a consistent way to link these identifiers together. A visitor identifier enables continuous profile updates from multiple online and offline sources, using the identifier as a key to unify user data.

Personzye provides a variety of methods for collecting visitor data, typically used in conjunction. Here are some personalization examples:

Input fields :Capturing email addresses from website input fields, like login or contact forms, is simplified with a point-and-click tool that streamlines the process of capturing email addresses.

Site cookies, JavaScript variables, data layers:Capturing visitor identifiers (customer IDs, hashed/anonymized IDs, usernames) from sources like site cookies, JavaScript variables, and data layers. Its visual, point-and-click interface enables code-free capture of any data present during a visitor session, including cookies, JavaScript variables, and meta tags.

URL parameters: Personzye supports the capture of visitor identifiers, including customer IDs, hashed/anonymized IDs, usernames, and email addresses passed via URL parameters. These unique identifiers can be incorporated into links across various platforms, such as email templates and LinkedIn messages, enabling Personzye to identify users and update their corresponding records.

Here’s examples of how this data can be used in personalization campaigns:

E-commerce Scenario: A visitor browses an e-commerce site on their desktop and purchases an iPhone. They also view several phone cases but don’t buy them. A week later, they return to the site on their mobile phone.

Cross-channel Personalization: Because Personyze can identify the visitor (via their email address from a login or a CRM ID stored in a cookie), it can leverage the previous browsing and purchase history. The site can then personalize the experience in the following ways:

• Homepage Recommendations: The homepage displays recommendations for the iPhone cases the visitor previously viewed and other phone accessories. 
• Post-Purchase Survey: A small popup appears, asking about their recent iPhone purchase experience. This not only gathers valuable feedback but also reinforces a personalized connection.

B2B personalized value proposition :

Scenario: A car leasing company wants to promote new lease offers, personalized to each customer. Offers vary based on factors like existing leases, upcoming lease expirations, customer company size, and industry. They send promotional emails with personalized links.

Solution:

1. Personalized Email Links: Each email contains a unique URL for each customer, appending the customer’s identifier as a URL parameter (e.g., example.com/new-lease-offer?customerID=12345).
2. Dynamic Landing Page: When a customer clicks the link, they arrive at a dedicated landing page. Personzye, integrated with the company’s CRM, extracts the customerID from the URL.
3. CRM Data Retrieval: Using the customerID, Personzye retrieves the customer’s complete CRM profile. This includes details like existing leases, upcoming expirations, company size, industry, and other relevant data.
4. Personalized Offer Display: The landing page dynamically displays a tailored offer based on the retrieved CRM data. For example, the page might say, “Welcome back, [Customer Name] at [Company Name]! We noticed your current lease on your [Car Model] is expiring soon. Based on your industry, we recommend exploring our special offers on [Recommended Car Model(s)] with [Specific Lease Terms].” The company name and other CRM data can be dynamically inserted into the page content.
5. Persistent Value Proposition (Popup): Personzye sets a first-party cookie to remember the identified customer and their personalized offer. As the customer navigates to other pages on the site, a non-intrusive top bar popup appears, reiterating the key elements of the personalized offer. This keeps the relevant promotion top-of-mind throughout their visit. This persistence can extend to subsequent visits as well, as long as the cookie is valid.

• Visitor Behavioral Data: Information about how visitors interact with your website or app is gathered automatically. This data, often obtained from the browser’s user agent, is available by default and doesn’t require any setup
  • Examples: Pages visited, products viewed, searches performed, content consumed (articles read, videos watched), time spent on page, clicks, scrolls, form submissions, downloads, navigation paths, purchase history, cart abandonment.
• Visitor account based marketing data (ABM) : Visitor ABM data provides key business insights, including industry, company size, and revenue, even for anonymous visitors. This data is derived from IP intelligence, which identifies the visitor’s company based on their IP address. Personzye integrates with ABM providers like 6sense and Clearbit to provide this information. Learn more about our ABM integrations

• Demographic/Profile Data: Provides context about who your visitors are.
  • Examples: Age, gender, location, language, occupation, interests, company (for B2B), job title (for B2B). 
  • Transactional Data: Focuses on purchase-related activities. Products purchased, order value, purchase frequency.
    
    This data requires the Personzye e-commerce setup.
    
  • Contextual Session Data: Captures the circumstances surrounding a visit. Device type (desktop, mobile, tablet), browser, operating system, time of day, day of week, location (geolocation), traffic source (e.g., Google Ads, social media, direct), campaign or promotion that brought them to the site.
    
    This data obtained from the browser’s user agent, is available by default and doesn’t require any setup
    
• Affinity Data: Reveals visitor preferences and interests. Product categories browsed, content topics engaged with.
  
  Some of this data could require additional configuration, like Personzye automated interests and a content/product feed.

Onboarding Data and Making it Actionable:

1. Data Mapping: This is the crucial first step. Create a comprehensive map of where each piece of data resides (CRM,CDP, ABM providers, etc.). Identify the data points, their formats, and how they relate to each other.
   
2. Data Integration: Bring the data together into a central repository. Options include:
   • Client-side integration: Personzye can extract and utilize in real time any data available during a visitor’s session, including data in site cookies, JavaScript variables, and data layers. You can configure your site to make any customer data available client-side, and Personzye will extract it instantly.

 This method enables real-time data synchronization.

• Customer Data Platform (CDP) integration : If you’re using a CDP, check for a pre-built Personzye integration. For CDPs like Segment or Tealium, our integration allows seamless data onboarding. If a direct integration isn’t available, we can help you implement a solution using webhooks or client-side methods like a data layer. We’ll guide you through the onboarding process and recommend the best approach for your needs
  In most cases this method allows real time data synchronization

• SFTP: You can upload a file to the Personzye server. Personzye constantly scans this file for any modifications and automatically updates the relevant records. Schedule this task on your server to run at set intervals or trigger it upon record changes. This enables near real-time data synchronization.
• API Integrations: Direct connections between your server to Personyze. Allow real time data synchronization
  
  

Personalization Implementation: Use the integrated data to personalize experiences across different touchpoints:

• Website/App: Personalized content recommendations, product suggestions, dynamic layouts, targeted offers.
• Email Marketing: Personalized email content, product recommendations, triggered email campaigns.
• Push notification: Targeted push notifications based on visitor behavior and interests.

3. Testing and Optimization: Continuously test different personalization strategies and analyze the results. Use A/B testing to compare different versions of personalized content and offers. Track key metrics like conversion rates, engagement, and customer satisfaction.

Key Consideration:

• Privacy: Be transparent about how you collect and use data. Comply with relevant privacy regulations (e.g., GDPR, CCPA).  Personzye provides the tools to meet various regulatory requirements. You can enable visitor opt-out options (see account domain settings for instructions) and control data collection methods, the types of data collected, and data retention periods.

Conclusion: 

By strategically mapping and integrating your data to create a 360-degree view of your visitors, you can deliver pers

Unlocking the power of 360-degree visitor profiles and cross-channel personalization

Truly personalized experiences, engaging content, and a compelling value proposition require understanding your visitors’ real-time needs, preferences, and interests. This necessitates a 360-degree view of each visitor—a complete and actionable picture built by gathering data from all their touchpoints across different platforms.

Let’s discuss data mapping for personalization and visitor understanding, including valuable data points and data onboarding strategies..

Visitor Data Categories:

• Visitor Identity Data: At the core of visitor understanding is identity data, which allows you to recognize and track individuals across multiple devices, maintaining a unified and current view of their interactions.
  • Examples: Email address, username, customer ID, hashed/anonymized identifiers for privacy. Crucially, you need a consistent way to link these identifiers together. A visitor identifier enables continuous profile updates from multiple online and offline sources, using the identifier as a key to unify user data.

Personzye provides a variety of methods for collecting visitor data, typically used in conjunction. Here are some examples:

Input fields :Capturing email addresses from website input fields, like login or contact forms, is simplified with a point-and-click tool that streamlines the process of capturing email addresses.

Site cookies, JavaScript variables, data layers:Capturing visitor identifiers (customer IDs, hashed/anonymized IDs, usernames) from sources like site cookies, JavaScript variables, and data layers. Its visual, point-and-click interface enables code-free capture of any data present during a visitor session, including cookies, JavaScript variables, and meta tags.

URL parameters: Personzye supports the capture of visitor identifiers, including customer IDs, hashed/anonymized IDs, usernames, and email addresses passed via URL parameters. These unique identifiers can be incorporated into links across various platforms, such as email templates and LinkedIn messages, enabling Personzye to identify users and update their corresponding records.

Here’s examples of how this data can be used in personalization campaigns:

E-commerce Scenario: A visitor browses an e-commerce site on their desktop and purchases an iPhone. They also view several phone cases but don’t buy them. A week later, they return to the site on their mobile phone.

Cross-channel Personalization: Because Personyze can identify the visitor (via their email address from a login or a CRM ID stored in a cookie), it can leverage the previous browsing and purchase history. The site can then personalize the experience in the following ways:

• Homepage Recommendations: The homepage displays recommendations for the iPhone cases the visitor previously viewed and other phone accessories. 
• Post-Purchase Survey: A small popup appears, asking about their recent iPhone purchase experience. This not only gathers valuable feedback but also reinforces a personalized connection.

B2B personalized value proposition :

Scenario: A car leasing company wants to promote new lease offers, personalized to each customer. Offers vary based on factors like existing leases, upcoming lease expirations, customer company size, and industry. They send promotional emails with personalized links.

Solution:

1. Personalized Email Links: Each email contains a unique URL for each customer, appending the customer’s identifier as a URL parameter (e.g., example.com/new-lease-offer?customerID=12345).
2. Dynamic Landing Page: When a customer clicks the link, they arrive at a dedicated landing page. Personzye, integrated with the company’s CRM, extracts the customerID from the URL.
3. CRM Data Retrieval: Using the customerID, Personzye retrieves the customer’s complete CRM profile. This includes details like existing leases, upcoming expirations, company size, industry, and other relevant data.
4. Personalized Offer Display: The landing page dynamically displays a tailored offer based on the retrieved CRM data. For example, the page might say, “Welcome back, [Customer Name] at [Company Name]! We noticed your current lease on your [Car Model] is expiring soon. Based on your industry, we recommend exploring our special offers on [Recommended Car Model(s)] with [Specific Lease Terms].” The company name and other CRM data can be dynamically inserted into the page content.
5. Persistent Value Proposition (Popup): Personzye sets a first-party cookie to remember the identified customer and their personalized offer. As the customer navigates to other pages on the site, a non-intrusive top bar popup appears, reiterating the key elements of the personalized offer. This keeps the relevant promotion top-of-mind throughout their visit. This persistence can extend to subsequent visits as well, as long as the cookie is valid.

• Visitor Behavioral Data: Information about how visitors interact with your website or app is gathered automatically. This data, often obtained from the browser’s user agent, is available by default and doesn’t require any setup
  • Examples: Pages visited, products viewed, searches performed, content consumed (articles read, videos watched), time spent on page, clicks, scrolls, form submissions, downloads, navigation paths, purchase history, cart abandonment.
• Visitor account based marketing data (ABM) : Visitor ABM data provides key business insights, including industry, company size, and revenue, even for anonymous visitors. This data is derived from IP intelligence, which identifies the visitor’s company based on their IP address. Personzye integrates with ABM providers like 6sense and Clearbit to provide this information. Learn more about our ABM integrations

• Demographic/Profile Data: Provides context about who your visitors are.
  • Examples: Age, gender, location, language, occupation, interests, company (for B2B), job title (for B2B). 
  • Transactional Data: Focuses on purchase-related activities. Products purchased, order value, purchase frequency.
    
    This data requires the Personzye e-commerce setup.
    
  • Contextual Data: Captures the circumstances surrounding a visit. Device type (desktop, mobile, tablet), browser, operating system, time of day, day of week, location (geolocation), traffic source (e.g., Google Ads, social media, direct), campaign or promotion that brought them to the site.
    
    This data obtained from the browser’s user agent, is available by default and doesn’t require any setup
    
• Affinity Data: Reveals visitor preferences and interests. Product categories browsed, content topics engaged with.
  
  Some of this data could require additional configuration, like Personzye automated interests and a content/product feed.

Onboarding Data and Making it Actionable:

1. Data Mapping: This is the crucial first step. Create a comprehensive map of where each piece of data resides (CRM,CDP, ABM providers, etc.). Identify the data points, their formats, and how they relate to each other.
   
2. Data Integration: Bring the data together into a central repository. Options include:
   • Client-side integration: Personzye can extract and utilize in real time any data available during a visitor’s session, including data in site cookies, JavaScript variables, and data layers. You can configure your site to make any customer data available client-side, and Personzye will extract it instantly.

 This method enables real-time data synchronization.

• Customer Data Platform (CDP) integration : If you’re using a CDP, check for a pre-built Personzye integration. For CDPs like Segment or Tealium, our integration allows seamless data onboarding. If a direct integration isn’t available, we can help you implement a solution using webhooks or client-side methods like a data layer. We’ll guide you through the onboarding process and recommend the best approach for your needs
  In most cases this method allows real time data synchronization

• SFTP: You can upload a file to the Personzye server. Personzye constantly scans this file for any modifications and automatically updates the relevant records. Schedule this task on your server to run at set intervals or trigger it upon record changes. This enables near real-time data synchronization.
• API Integrations: Direct connections between your server to Personyze. Allow real time data synchronization
  
  

Personalization Implementation: Use the integrated data to personalize experiences across different touchpoints:

• Website/App: Personalized content recommendations, product suggestions, dynamic layouts, targeted offers.
• Email Marketing: Personalized email content, product recommendations, triggered email campaigns.
• Push notification: Targeted push notifications based on visitor behavior and interests.

3. Testing and Optimization: Continuously test different personalization strategies and analyze the results. Use A/B testing to compare different versions of personalized content and offers. Track key metrics like conversion rates, engagement, and customer satisfaction.

Key Consideration:

• Privacy: Be transparent about how you collect and use data. Comply with relevant privacy regulations (e.g., GDPR, CCPA).  Personzye provides the tools to meet various regulatory requirements. You can enable visitor opt-out options (see account domain settings for instructions) and control data collection methods, the types of data collected, and data retention periods.

Conclusion: 

By strategically mapping and integrating your data to create a 360-degree view of your visitors, you can deliver personalized experiences and targeted promotions that significantly boost visitor engagement and conversions.

Frequently asked questions

What data sources feed a 360-degree visitor profile?

On-site behavior, CRM data, firmographics, geo-location, device, and referral source — unified into one profile per visitor.

Do I need every data source connected to start?

No. You can begin with on-site behavior and add CRM and firmographic sources over time.

Get started

Book a demo or view plans to get started.