Many brands claim to personalize their customer experience. But the truth? Most still rely on broad segments and static rules.
The result is generic moments that fail to consider context and intent. AI decisioning takes personalization to the next level, transitioning from segment-based to individual-based engagement. This technology autonomously selects the next-best action, channel, time, and message for each customer in real time.
AI-driven personalization is becoming a core component of customer experience strategies, shifting how brands engage with customers. In this guide, we explain what AI decisioning is, why it’s critical for modern marketing, and how you can implement it at scale.
We also highlight how Insider One uses real-time data and predictive analytics to drive measurable growth and operational efficiency. Expect practical roadmaps, key enablers, and insights to help you build effective, sustainable 1:1 personalization programs.
What is AI decisioning and why does it matter?
AI decisioning refers to the use of artificial intelligence models that autonomously make real-time marketing decisions. These decisions can range from selecting the next-best channel, product, or message to offering personalized content and guidance, all based on behavioral, contextual, and historical data.
Unlike traditional rule-based automation, which relies on predefined, static if/then logic, AI decisioning continuously evolves by learning from new data, adapting to customer interactions, and refining its decision-making process.
Why it matters
1:1 customer personalization
AI decisioning is the cornerstone of true personalization, transforming customer engagement by using first-party data to deliver hyper-relevant, real-time experiences. This level of personalization enhances customer satisfaction and loyalty by ensuring each touchpoint is tailored to the individual’s behavior, preferences, and intent.
As privacy regulations like GDPR and CCPA limit the use of third-party data, leveraging first-party data for AI decision-making becomes even more crucial in delivering meaningful, personalized interactions.
Business impact of AI decisioning
The impact of AI-driven personalization is profound. Businesses that adopt AI decisioning have reported significant improvements in customer engagement and revenue. In fact, AI personalization can increase revenue by up to 15%.
87% of companies using AI decisioning report improved engagement with their customers, illustrating the effectiveness of data-driven, real-time personalization.
Predictive analytics at scale
AI decisioning goes beyond just personalization. By integrating predictive analytics and next-best-action logic, AI can optimize customer engagement across multiple touchpoints.
Whether it’s sending the right message at the right time or choosing the most effective channel for communication, AI decisioning ensures brands can scale their personalization efforts efficiently.
This allows businesses to engage customers with timely, contextually relevant interactions that are proven to drive conversions and enhance customer experiences across the entire journey.
How AI Decisioning Compares to Traditional Marketing Automation
CapabilityTraditional Marketing AutomationAI Decisioning for Personalized MarketingDecision LogicStatic rules and segmentsDynamic models learning from real-time signals
SpeedBatch, scheduled updatesInstant, event-triggered decisions
AdaptivityManual updatesContinuous optimization via predictive analytics
ScaleChannel-specificOmnichannel, next-best-action across journeys
Personalization DepthGroup-level personalizationHyper-personalization at the individual level
GovernanceManual QAPolicy guardrails + transparent decision logs
Key enablers of effective AI decisioning
To successfully implement AI decisioning at scale, businesses need to focus on several key enablers that ensure the system functions efficiently and ethically. These enablers set the foundation for AI decisioning to deliver personalized, real-time experiences. Here’s a breakdown of the critical components:
Rich first-party and zero-party data
The foundation of AI decisioning lies in data, specifically, first-party and zero-party data. These data types are critical because they come directly from customer interactions, making them the most reliable and accurate sources for personalized experiences.
Why it matters
With the increasing limitations on third-party cookies and data privacy regulations, relying on first-party data (e.g., website interactions, app usage, purchase history) and zero-party data (e.g., preferences or feedback provided directly by customers) becomes essential. This data helps AI systems make informed, real-time decisions without the reliance on third-party sources.
Practical benefit
Brands that own their data and use it to power AI decisioning can create hyper-personalized experiences without the risk of losing access to external data, ensuring that their personalization efforts remain effective and compliant with privacy regulations.
Unified customer profiles and real-time signals
Effective AI decisioning thrives on a unified view of the customer, where data from various sources (e.g., CRM, website interactions, social media) are brought together into a single profile. In addition, real-time behavioral signals (e.g., clicks, browsing activity, recent purchases) are key to delivering timely, relevant recommendations.
Why it matters
Fragmented data leads to missed opportunities. When customer data is siloed or incomplete, AI models can’t make the most informed decisions.
Practical example
When a customer moves from browsing to showing intent by adding items to their cart, real-time data signals can trigger the next best action, whether it’s sending a personalized offer or displaying a discount. With a unified view, the AI knows the best action to take, ensuring a smooth customer journey.
Experimentation and continuous learning
The most effective AI decisioning systems are those that continuously test, learn, and optimize based on new data. Shifting market behaviors and evolving customer preferences demand dynamic adaptation, not static rules. AI systems must be designed to experiment, adapt, and improve over time.
Why it matters
AI decisioning is not a “set it and forget it” tool. To stay relevant, AI needs to experiment with different variables, such as timing, offers, and channels, to find the most effective strategies. Continuous learning ensures that AI decisioning evolves with the market and customer preferences.
Practical benefit
Experimentation through A/B testing and reinforcement learning helps AI refine its decisions and adapt in real time, improving customer engagement and increasing conversions. This process ensures that AI continues to provide value as behaviors and trends change.
Omnichannel orchestration and execution
AI decisioning is only valuable if it can be executed across multiple channels at the right time. The decisions AI makes must be actionable, whether through web, email, mobile app, or even voice assistants. Omnichannel orchestration ensures that the right message reaches the customer at the right moment, based on their journey.
Why it matters
Effective AI decision-making involves not just choosing the next best action but also ensuring that the action is executed seamlessly. For example, a customer might respond well to an SMS reminder about a cart abandonment, while another customer prefers an email. The AI must understand the channel preferences and timing to ensure maximum impact.
Practical benefit
Omnichannel orchestration ensures that AI decisioning reaches customers through their preferred touchpoints, creating a seamless experience that drives higher engagement and conversion rates.
Transparency, trust, and ethical AI
Consumers are more aware of how their data is being used, and maintaining their trust is essential for long-term success. Ethical AI practices, transparency in decision-making, and data privacy protections are critical components of building trust in personalized experiences.
Why it matters
With increasing scrutiny on data privacy and AI ethics, brands must ensure that their AI decision-making processes are transparent and trustworthy. This includes clearly communicating how customer data is being used, ensuring fairness, and implementing safeguards to prevent bias in AI models.
Practical benefit
By addressing ethical concerns, businesses can foster stronger relationships with customers, increasing engagement and loyalty. Adopting clear privacy policies, obtaining consent, and being transparent about AI decisions help ensure that consumers feel safe and valued, which ultimately enhances the effectiveness of personalized marketing efforts.
Key considerations before implementing AI decisioning
Adopting AI decision-making requires careful planning and addressing several key challenges:
Data privacy and ethical practices
For AI decisioning to be effective, transparency, consent, and clear opt-out options must be built into the system. Ethical AI practices ensure customers trust how their data is used, which is essential for long-term engagement and compliance with privacy regulations.
Complexity of integration
Successful AI decision-making requires clean, unified data, along with interoperable systems and skilled teams. Underestimating the technical complexity can cause delays and hinder successful implementation. Ensuring that all systems are aligned and capable of supporting AI decision-making is critical for success.
Human oversight and governance
While AI can automate decisions at scale, maintaining human oversight is crucial, particularly for high-stakes interactions. A “human-in-the-loop” approach helps ensure that AI-driven decisions are contextually accurate and aligned with the brand’s quality standards, enhancing trust and maintaining quality control.
By addressing these key considerations, businesses can avoid common pitfalls and fully leverage the power of AI decisioning to drive personalized customer engagement and growth.
Step-by-step roadmap to implement AI decisioning at scale
Implementing AI decisioning at scale requires a structured approach to ensure you achieve measurable results and maintain control over the process. Here’s a step-by-step roadmap for marketers looking to deploy AI decisioning across their organization:
1. Define the business outcome you optimize for
Before diving into AI decisioning, it’s critical to define the specific business outcomes you want to achieve. Whether you’re aiming for repeat purchases, increasing average order value (AOV), or reducing churn, aligning your AI efforts with clear KPIs ensures your decisioning strategies stay focused and measurable.
Tip: Be specific about your goals, and prioritize based on business impact and feasibility.
2. Audit your data maturity & stack readiness
AI decisioning relies on high-quality data. Assess your data maturity by auditing your current stack. Focus on the quality and breadth of your data, including your customer data platform (CDP), event capture systems, and real-time data processing capabilities. Make sure your systems are capable of delivering clean, unified data in real-time.
Tip: Ensure your data is complete, clean, and can flow seamlessly across platforms to fuel AI decision-making.
3. Run a pilot with clearly defined guardrails
To minimize risk and optimise results, start with a pilot program. Choose a small cohort of users and focus on a single outcome, such as improving conversion rates or increasing engagement in a specific customer journey. Establish clear guardrails for success, including performance metrics, control groups, and decision logs.
Tip: Use this pilot as a learning phase to fine-tune AI decisioning before full-scale deployment.
4. Expand to full journey orchestration
Once the pilot is successful, scale your efforts across the customer journey. Start with acquisition, then move to engagement and retention. Ensure AI decisioning is applied across all touchpoints, such as web, app, email, SMS, and ads. Integrate next-best-action logic across these channels to create a seamless, personalized experience for every customer.
Tip: Aim for omnichannel orchestration to ensure consistency in messaging and experience across the journey.
5. Measure, report, and iterate
Measure the effectiveness of your AI decisioning by tracking both model performance (such as AUC or lift) and business KPIs (e.g., revenue, customer lifetime value). Use this data to refine your AI models, experiment with different approaches, and shift from segments to truly personalized experiences for individual customers.
Tip: Continuously report on both business and technical KPIs to understand the full impact of AI decisioning.
6. Scale ethically and responsibly
As you scale AI decisioning, make sure you maintain ethical standards. Audit your AI decisions to ensure transparency, monitor for bias, and establish clear rules for data usage and decision-making outcomes. Building trust with customers is key to long-term success, so ethical AI practices should be at the forefront of your strategy.
Tip: Implement safeguards to monitor and refine your AI models to ensure fairness and transparency.
What to avoid when implementing AI decisioning
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Ignoring real‑time signals: Real-time decisioning depends on fresh data and immediate context. Failing to capture and act on real-time signals can lead to missed opportunities or irrelevant experiences.
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Assuming AI will fix broken data: AI decisioning won’t fix poor-quality or fragmented data. Prioritize data quality and integration before scaling AI.
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Failing to define success metrics: Without clear success metrics and goals, it’s impossible to measure the effectiveness of your AI decisioning program. Always define success before starting.
By following these steps, businesses can effectively implement AI decisioning at scale, ensuring they achieve significant personalization results while remaining agile and customer-centric.
Deliver true 1:1 personalization at scale with Insider One
To truly harness the power of AI decisioning, businesses need an integrated platform that brings together data, orchestration, and real-time AI-powered personalization. Insider One makes this possible by operationalizing decisioning at scale, allowing brands to create personalized, seamless experiences across multiple touchpoints.
Here’s how Insider One supports the key enablers of effective AI decisioning:
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Unified customer data: Insider One integrates real-time, first-party data to create unified customer profiles, giving brands a complete view of each customer’s behavior, preferences, and intent. This enables better decisioning, driving more accurate and meaningful interactions.
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Omnichannel orchestration: With Insider One, brands can orchestrate AI-driven decisioning across channels, from web and mobile to email and social. AI determines the next best action, whether it’s a personalized message via web chat, SMS, or an in-app push notification, ensuring consistency and relevance at every touchpoint.
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Predictive & generative AI: Insider One uses predictive analytics to model customer behavior and recommend the best action for each individual. Generative AI then fuels hyper-personalized conversations, adapting in real-time to customer interactions for deeper engagement.
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Real-time personalization: With Insider One, you can deliver real-time personalized offers and messages across all channels. The platform’s decisioning engine adapts automatically to changes in customer behavior, helping you scale 1:1 personalization without manual effort.
With Insider One, you can maximize engagement, reduce manual work, and scale personalized, real-time conversations effectively and responsibly.
Take a demo to see how Insider One powers personalized, real-time conversations across channels.
FAQs
What is AI decisioning?
AI decisioning refers to the process by which artificial intelligence autonomously makes marketing decisions in real time. This includes selecting the most effective channel, product, message, or action for a customer, all based on behavioral, contextual, and historical data. AI decisioning goes beyond traditional rule-based automation by continually adapting to new data and customer interactions.
How does AI decisioning differ from next-best-action?
While next-best-action is the strategy or framework for determining the best action to take next in a customer’s journey, AI decisioning is the engine that continuously calculates and implements this strategy. AI decisioning utilises real-time data and predictive models to make personalised, dynamic decisions on an individual basis across various touchpoints, whereas next-best-action serves as a broader guiding principle.
Can AI decisioning optimize for multiple channels?
Yes. AI decisioning can optimize customer engagement across multiple channels, including web, app, email, SMS, social media, and more. By using a unified view of the customer, AI can select the most appropriate channel and timing for each customer interaction, ensuring consistency and relevance in communication across all touchpoints.
How does AI ensure ethical personalization?
Ethical personalization is ensured by using transparent AI practices, obtaining clear consent from customers, and adhering to data privacy regulations. AI decisioning platforms implement safeguards to prevent bias in models, monitor for fairness, and ensure that personalized experiences are built on responsible data usage, all while maintaining customer trust.
What metrics improve with AI decisioning?
AI decisioning can significantly improve key metrics such as revenue per user, conversion rate, average order value (AOV), customer retention, and customer lifetime value (CLV). It also helps reduce customer acquisition costs (CAC) through better targeting and personalization. By continuously optimizing these metrics, AI decisioning enables brands to provide highly relevant, real-time interactions that drive measurable business outcomes.
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<h1 class="post-title">AI Decisioning: Evolution of Customer Engagement & 1:1 Personalization</h1>
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<p class="author-info"><span class="authname"><a href="https://insiderone.com/author/christopher-baldwin/">Chris Baldwin</a></span><span class="hipen"> - </span>VP Marketing, Brand and Communications</p>
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12 min. </p>
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<p><strong>Updated</strong> on 11 Feb 2026</p>
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<h4 class="sidebar-heading">Table of Contents</h4>
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<div class="table-of-contents-accordion"><ul><li class="parent-level-item"><a href="#what-is-ai-decisioning-and-why-does-it-matter">What is AI decisioning and why does it matter?</a><ul><li><a href="#how-ai-decisioning-compares-to-traditional-marketing-automation">How AI Decisioning Compares to Traditional Marketing Automation</a></li><li><a href="#key-enablers-of-effective-ai-decisioning">Key enablers of effective AI decisioning</a></li><li><a href="#rich-first-party-and-zero-party-data">Rich first-party and zero-party data</a></li><li><a href="#unified-customer-profiles-and-real-time-signals">Unified customer profiles and real-time signals</a></li><li><a href="#experimentation-and-continuous-learning">Experimentation and continuous learning</a></li><li><a href="#omnichannel-orchestration-and-execution">Omnichannel orchestration and execution</a></li><li><a href="#transparency-trust-and-ethical-ai">Transparency, trust, and ethical AI</a></li><li><a href="#key-considerations-before-implementing-ai-decisioning">Key considerations before implementing AI decisioning</a></li></ul></li><li class="parent-level-item"><a href="#step-by-step-roadmap-to-implement-ai-decisioning-at-scale">Step-by-step roadmap to implement AI decisioning at scale</a><ul><li><a href="#1-define-the-business-outcome-you-optimize-for">1. Define the business outcome you optimize for</a></li><li><a href="#2-audit-your-data-maturity-stack-readiness">2. Audit your data maturity & stack readiness</a></li><li><a href="#3-run-a-pilot-with-clearly-defined-guardrails">3. Run a pilot with clearly defined guardrails</a></li><li><a href="#4-expand-to-full-journey-orchestration">4. Expand to full journey orchestration</a></li><li><a href="#5-measure-report-and-iterate">5. Measure, report, and iterate</a></li><li><a href="#6-scale-ethically-and-responsibly">6. Scale ethically and responsibly</a></li><li><a href="#what-to-avoid-when-implementing-ai-decisioning">What to avoid when implementing AI decisioning</a></li><li><a href="#deliver-true-1-1-personalization-at-scale-with-insider-one">Deliver true 1:1 personalization at scale with Insider One</a></li></ul></li><li class="parent-level-item"><a href="#faqs">FAQs</a></li></ul></div> <div class="social-links-container">
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<?xml encoding="utf-8" ?><html><body><p>Many brands claim to personalize their customer experience. But the truth? Most still rely on broad segments and static rules.</p>
<p>The result is generic moments that fail to consider context and intent. AI decisioning takes personalization to the next level, transitioning from segment-based to individual-based engagement. This technology autonomously selects the next-best action, channel, time, and message for each customer in real time.</p>
<p>AI-driven personalization is becoming a core component of customer experience strategies, shifting how brands engage with customers. In this guide, we explain what AI decisioning is, why it’s critical for modern marketing, and how you can implement it at scale.</p>
<p>We also highlight how <a href="https://insiderone.com/" target="_blank" rel="noreferrer noopener">Insider One</a> uses real-time data and predictive analytics to drive measurable growth and operational efficiency. Expect practical roadmaps, key enablers, and insights to help you build effective, sustainable 1:1 personalization programs.</p>
<h2 class="wp-block-heading" id="what-is-ai-decisioning-and-why-does-it-matter"><strong>What is AI decisioning and why does it matter?</strong></h2>
<p>AI decisioning refers to the use of artificial intelligence models that autonomously make real-time marketing decisions. These decisions can range from selecting the next-best channel, product, or message to offering personalized content and guidance, all based on behavioral, contextual, and historical data. </p>
<p>Unlike traditional rule-based automation, which relies on predefined, static if/then logic, AI decisioning continuously evolves by learning from new data, adapting to customer interactions, and refining its decision-making process.</p>
<p><strong>Why it matters</strong></p>
<h4 class="wp-block-heading" id="h-1-1-customer-personalization"><strong>1:1 customer personalization</strong></h4>
<figure class="wp-block-image size-full"><img fetchpriority="high" decoding="async" width="595" height="511" src="https://insiderone.com/assets/media/2026/02/image-15.png" alt="Personalized product discovery based on customer behaviors" class="wp-image-582967" srcset="https://insiderone.com/assets/media/2026/02/image-15.png 595w, https://insiderone.com/assets/media/2026/02/image-15-300x258.png 300w" sizes="(max-width: 595px) 100vw, 595px" /></figure>
<p>AI decisioning is the cornerstone of true personalization, transforming <a href="https://insiderone.com/" target="_blank" rel="noreferrer noopener">customer engagement </a>by using first-party data to deliver hyper-relevant, real-time experiences. This level of personalization enhances customer satisfaction and loyalty by ensuring each touchpoint is tailored to the individual’s behavior, preferences, and intent. </p>
<p>As privacy regulations like GDPR and CCPA limit the use of third-party data, leveraging first-party data for AI decision-making becomes even more crucial in delivering meaningful, personalized interactions.</p>
<h4 class="wp-block-heading" id="h-business-impact-of-ai-decisioning"><strong>Business impact of AI decisioning</strong></h4>
<p>The impact of <a href="https://insiderone.com/ai-personalization/" target="_blank" rel="noreferrer noopener">AI-driven personalization</a> is profound. Businesses that adopt AI decisioning have reported significant improvements in customer engagement and revenue. In fact, AI personalization can increase revenue by up to <a href="https://superagi.com/personalizing-customer-engagement-with-ai-a-step-by-step-guide-to-hyper-personalized-sales-strategies/#:~:text=study%20by%20McKinsey%2C-,AI%2Dpowered%20personalization%20can%20drive%20up%20to%20a%2015%25%20increase%20in%20revenue.,-As%20consumers%20become" target="_blank" rel="noreferrer noopener nofollow">15%</a>. </p>
<p><a href="https://superagi.com/personalizing-customer-engagement-with-ai-a-step-by-step-guide-to-hyper-personalized-sales-strategies/#:~:text=experiences%2C%20and-,87%25%20of%20organizations%20leveraging%20AI%2Ddriven%20personalization%20have%20already%20seen%20boosts%20in%20customer%20engagement.,-This%20shift%20is" target="_blank" rel="noreferrer noopener nofollow">87%</a> of companies using AI decisioning report improved engagement with their customers, illustrating the effectiveness of data-driven, real-time personalization.</p>
<h4 class="wp-block-heading" id="h-predictive-analytics-at-scale"><strong>Predictive analytics at scale</strong></h4>
<p>AI decisioning goes beyond just personalization. By integrating predictive analytics and next-best-action logic, AI can optimize customer engagement across multiple touchpoints. </p>
<figure class="wp-block-image size-large"><img decoding="async" width="1024" height="819" src="https://insiderone.com/assets/media/2026/02/image-20-1024x819.png" alt="Analytics dashboard with graphs for onsite campaigns, web push, and email metrics, demonstrating how AI decisioning uses predictive analytics to optimize engagement" class="wp-image-582972" srcset="https://insiderone.com/assets/media/2026/02/image-20-1024x819.png 1024w, https://insiderone.com/assets/media/2026/02/image-20-300x240.png 300w, https://insiderone.com/assets/media/2026/02/image-20-768x614.png 768w, https://insiderone.com/assets/media/2026/02/image-20.png 1200w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>
<p>Whether it’s sending the right message at the right time or choosing the most effective channel for communication, AI decisioning ensures brands can scale their personalization efforts efficiently. </p>
<p>This allows businesses to engage customers with timely, contextually relevant interactions that are proven to drive conversions and enhance <a href="https://insiderone.com/guide-to-conversational-ai-for-customer-experience/" target="_blank" rel="noreferrer noopener">customer experiences</a> across the entire journey.</p>
<h3 class="wp-block-heading" id="how-ai-decisioning-compares-to-traditional-marketing-automation"><strong>How AI Decisioning Compares to Traditional Marketing Automation</strong></h3>
<figure class="wp-block-table"><table class="has-fixed-layout"><tbody><tr><td><strong>Capability</strong></td><td><strong>Traditional Marketing Automation</strong></td><td><strong>AI Decisioning for Personalized Marketing</strong></td></tr><tr><td><strong>Decision Logic</strong></td><td>Static rules and segments</td><td>Dynamic models learning from real-time signals</td></tr><tr><td><strong>Speed</strong></td><td>Batch, scheduled updates</td><td>Instant, event-triggered decisions</td></tr><tr><td><strong>Adaptivity</strong></td><td>Manual updates</td><td>Continuous optimization via predictive analytics</td></tr><tr><td><strong>Scale</strong></td><td>Channel-specific</td><td>Omnichannel, next-best-action across journeys</td></tr><tr><td><strong>Personalization Depth</strong></td><td>Group-level personalization</td><td>Hyper-personalization at the individual level</td></tr><tr><td><strong>Governance</strong></td><td>Manual QA</td><td>Policy guardrails + transparent decision logs</td></tr></tbody></table></figure>
<h3 class="wp-block-heading" id="key-enablers-of-effective-ai-decisioning"><strong>Key enablers of effective AI decisioning</strong></h3>
<p>To successfully implement AI decisioning at scale, businesses need to focus on several key enablers that ensure the system functions efficiently and ethically. These enablers set the foundation for AI decisioning to deliver personalized, real-time experiences. Here’s a breakdown of the critical components:</p>
<h3 class="wp-block-heading" id="rich-first-party-and-zero-party-data"><strong>Rich first-party and zero-party data</strong></h3>
<p>The foundation of AI decisioning lies in data, specifically, first-party and zero-party data. These data types are critical because they come directly from customer interactions, making them the most reliable and accurate sources for personalized experiences.</p>
<p><strong>Why it matters</strong><br>With the increasing limitations on third-party cookies and data privacy regulations, relying on first-party data (e.g., website interactions, app usage, purchase history) and zero-party data (e.g., preferences or feedback provided directly by customers) becomes essential. This data helps AI systems make informed, real-time decisions without the reliance on third-party sources.</p>
<p><strong>Practical benefit</strong><br>Brands that own their data and use it to power AI decisioning can create <a href="https://insiderone.com/marketing-automation-personalized-experiences/" target="_blank" rel="noreferrer noopener">hyper-personalized experiences</a> without the risk of losing access to external data, ensuring that their personalization efforts remain effective and compliant with privacy regulations.</p>
<h3 class="wp-block-heading" id="unified-customer-profiles-and-real-time-signals"><strong>Unified customer profiles and real-time signals</strong></h3>
<figure class="wp-block-image size-large"><img decoding="async" width="848" height="1024" src="https://insiderone.com/assets/media/2026/02/image-18-848x1024.png" alt="User profile dashboard combining demographics, behavior, and purchase metrics into a single view, representing unified customer profiles for AI decisioning" class="wp-image-582970" srcset="https://insiderone.com/assets/media/2026/02/image-18-848x1024.png 848w, https://insiderone.com/assets/media/2026/02/image-18-248x300.png 248w, https://insiderone.com/assets/media/2026/02/image-18-768x927.png 768w, https://insiderone.com/assets/media/2026/02/image-18.png 1016w" sizes="(max-width: 848px) 100vw, 848px" /></figure>
<p>Effective AI decisioning thrives on a <a href="https://insiderone.com/customer-data-management/unified-profiles/" target="_blank" rel="noreferrer noopener">unified view of the customer</a>, where data from various sources (e.g., CRM, website interactions, social media) are brought together into a single profile. In addition, real-time behavioral signals (e.g., clicks, browsing activity, recent purchases) are key to delivering timely, relevant recommendations.</p>
<p><strong>Why it matters</strong><br>Fragmented data leads to missed opportunities. When customer data is siloed or incomplete, AI models can’t make the most informed decisions.</p>
<p><strong>Practical example</strong><br>When a customer moves from browsing to showing intent by adding items to their cart, real-time data signals can trigger the next best action, whether it’s sending a personalized offer or displaying a discount. With a unified view, the AI knows the best action to take, ensuring a smooth customer journey.</p>
<h3 class="wp-block-heading" id="experimentation-and-continuous-learning"><strong>Experimentation and continuous learning</strong></h3>
<p>The most effective AI decisioning systems are those that continuously test, learn, and optimize based on new data. Shifting market behaviors and evolving customer preferences demand dynamic adaptation, not static rules. AI systems must be designed to experiment, adapt, and improve over time.</p>
<p><strong>Why it matters</strong><strong><br></strong>AI decisioning is not a “set it and forget it” tool. To stay relevant, AI needs to experiment with different variables, such as timing, offers, and channels, to find the most effective strategies. Continuous learning ensures that AI decisioning evolves with the market and customer preferences.</p>
<p><strong>Practical benefit<br></strong>Experimentation through <a href="https://insiderone.com/glossary/a-b-testing/" target="_blank" rel="noreferrer noopener">A/B testing</a> and reinforcement learning helps AI refine its decisions and adapt in real time, improving customer engagement and increasing conversions. This process ensures that AI continues to provide value as behaviors and trends change.</p>
<h3 class="wp-block-heading" id="omnichannel-orchestration-and-execution"><strong>Omnichannel orchestration and execution</strong></h3>
<p>AI decisioning is only valuable if it can be executed across multiple channels at the right time. The decisions AI makes must be actionable, whether through <a href="https://insiderone.com/channels/web/" target="_blank" rel="noreferrer noopener">web</a>, <a href="https://insiderone.com/channels/email/" target="_blank" rel="noreferrer noopener">email</a>, <a href="https://insiderone.com/channels/app/" target="_blank" rel="noreferrer noopener">mobile app</a>, or even voice assistants. Omnichannel orchestration ensures that the right message reaches the customer at the right moment, based on their journey.</p>
<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="410" src="https://insiderone.com/assets/media/2026/02/image-19-1024x410.png" alt="Flow diagram showing AI selecting the next best action across SMS, email, app push, and WhatsApp based on customer behavior, visualizing omnichannel orchestration" class="wp-image-582971" srcset="https://insiderone.com/assets/media/2026/02/image-19-1024x410.png 1024w, https://insiderone.com/assets/media/2026/02/image-19-300x120.png 300w, https://insiderone.com/assets/media/2026/02/image-19-768x307.png 768w, https://insiderone.com/assets/media/2026/02/image-19.png 1600w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>
<p><strong>Why it matters</strong><strong><br></strong>Effective AI decision-making involves not just choosing the next best action but also ensuring that the action is executed seamlessly. For example, a customer might respond well to an SMS reminder about a cart abandonment, while another customer prefers an email. The AI must understand the channel preferences and timing to ensure maximum impact.</p>
<p><strong>Practical benefit</strong><strong><br></strong>Omnichannel orchestration ensures that AI decisioning reaches customers through their preferred touchpoints, creating a seamless experience that drives higher engagement and conversion rates.</p>
<h3 class="wp-block-heading" id="transparency-trust-and-ethical-ai"><strong>Transparency, trust, and ethical AI</strong></h3>
<p>Consumers are more aware of how their data is being used, and maintaining their trust is essential for long-term success. Ethical AI practices, transparency in decision-making, and data privacy protections are critical components of building trust in personalized experiences.</p>
<p><strong>Why it matters</strong><strong><br></strong>With increasing scrutiny on data privacy and AI ethics, brands must ensure that their AI decision-making processes are transparent and trustworthy. This includes clearly communicating how customer data is being used, ensuring fairness, and implementing safeguards to prevent bias in AI models.</p>
<p><strong>Practical benefit</strong><strong><br></strong>By addressing ethical concerns, businesses can foster stronger relationships with customers, increasing engagement and loyalty. Adopting clear privacy policies, obtaining consent, and being transparent about AI decisions help ensure that consumers feel safe and valued, which ultimately enhances the effectiveness of personalized marketing efforts.</p>
<h3 class="wp-block-heading" id="key-considerations-before-implementing-ai-decisioning"><strong>Key considerations before implementing AI decisioning</strong></h3>
<p>Adopting AI decision-making requires careful planning and addressing several key challenges:</p>
<p><strong>Data privacy and ethical practices</strong><strong><br></strong>For AI decisioning to be effective, transparency, consent, and clear opt-out options must be built into the system. Ethical AI practices ensure customers trust how their data is used, which is essential for long-term engagement and compliance with privacy regulations.</p>
<p><strong>Complexity of integration</strong><strong><br></strong>Successful AI decision-making requires clean, unified data, along with interoperable systems and skilled teams. Underestimating the technical complexity can cause delays and hinder successful implementation. Ensuring that all systems are aligned and capable of supporting AI decision-making is critical for success.</p>
<p><strong>Human oversight and governance</strong> </p>
<p>While AI can automate decisions at scale, maintaining human oversight is crucial, particularly for high-stakes interactions. A “human-in-the-loop” approach helps ensure that AI-driven decisions are contextually accurate and aligned with the brand’s quality standards, enhancing trust and maintaining quality control.</p>
<p>By addressing these key considerations, businesses can avoid common pitfalls and fully leverage the power of AI decisioning to drive personalized customer engagement and growth.</p>
<h2 class="wp-block-heading" id="step-by-step-roadmap-to-implement-ai-decisioning-at-scale"><strong>Step-by-step roadmap to implement AI decisioning at scale</strong></h2>
<p>Implementing AI decisioning at scale requires a structured approach to ensure you achieve measurable results and maintain control over the process. Here’s a step-by-step roadmap for marketers looking to deploy AI decisioning across their organization:</p>
<h3 class="wp-block-heading" id="1-define-the-business-outcome-you-optimize-for"><strong>1. Define the business outcome you optimize for</strong></h3>
<p>Before diving into AI decisioning, it’s critical to define the specific business outcomes you want to achieve. Whether you’re aiming for repeat purchases, increasing <a href="https://insiderone.com/glossary/average-order-value/" target="_blank" rel="noreferrer noopener">average order value (AOV)</a>, or reducing churn, aligning your AI efforts with clear KPIs ensures your decisioning strategies stay focused and measurable.</p>
<p><strong>Tip:</strong> Be specific about your goals, and prioritize based on business impact and feasibility.</p>
<h3 class="wp-block-heading" id="2-audit-your-data-maturity-stack-readiness"><strong>2. Audit your data maturity & stack readiness</strong></h3>
<p>AI decisioning relies on high-quality data. Assess your data maturity by auditing your current stack. Focus on the quality and breadth of your data, including your <a href="https://insiderone.com/customer-data-platform/" target="_blank" rel="noreferrer noopener">customer data platform (CDP)</a>, event capture systems, and real-time data processing capabilities. Make sure your systems are capable of delivering clean, unified data in real-time.</p>
<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="353" src="https://insiderone.com/assets/media/2026/02/image-17-1024x353.png" alt="Concept diagram linking data sources into an AI decision engine that outputs personalized experiences across multiple channels, explaining the AI decisioning architecture" class="wp-image-582969" srcset="https://insiderone.com/assets/media/2026/02/image-17-1024x353.png 1024w, https://insiderone.com/assets/media/2026/02/image-17-300x104.png 300w, https://insiderone.com/assets/media/2026/02/image-17-768x265.png 768w, https://insiderone.com/assets/media/2026/02/image-17.png 1255w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>
<p><strong>Tip:</strong> Ensure your data is complete, clean, and can flow seamlessly across platforms to fuel AI decision-making.</p>
<h3 class="wp-block-heading" id="3-run-a-pilot-with-clearly-defined-guardrails"><strong>3. Run a pilot with clearly defined guardrails</strong></h3>
<p>To minimize risk and optimise results, start with a pilot program. Choose a small cohort of users and focus on a single outcome, such as improving conversion rates or increasing engagement in a specific <a href="https://insiderone.com/customer-journey/orchestration/" target="_blank" rel="noreferrer noopener">customer journey</a>. Establish clear guardrails for success, including performance metrics, control groups, and decision logs.</p>
<p><strong>Tip:</strong> Use this pilot as a learning phase to fine-tune AI decisioning before full-scale deployment.</p>
<h3 class="wp-block-heading" id="4-expand-to-full-journey-orchestration"><strong>4. Expand to full journey orchestration</strong></h3>
<p>Once the pilot is successful, scale your efforts across the customer journey. Start with acquisition, then move to engagement and retention. Ensure AI decisioning is applied across all touchpoints, such as web, app, email, SMS, and ads. Integrate next-best-action logic across these channels to create a seamless, personalized experience for every customer.</p>
<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="819" src="https://insiderone.com/assets/media/2026/02/image-16-1024x819.png" alt="Interface card displaying ‘Next Best Channel’ with percentage split across web, app, SMS, email, and ads, highlighting how AI allocates communication by channel" class="wp-image-582968" srcset="https://insiderone.com/assets/media/2026/02/image-16-1024x819.png 1024w, https://insiderone.com/assets/media/2026/02/image-16-300x240.png 300w, https://insiderone.com/assets/media/2026/02/image-16-768x614.png 768w, https://insiderone.com/assets/media/2026/02/image-16.png 1200w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>
<p><strong>Tip:</strong> Aim for omnichannel orchestration to ensure consistency in messaging and experience across the journey.</p>
<h3 class="wp-block-heading" id="5-measure-report-and-iterate"><strong>5. Measure, report, and iterate</strong></h3>
<p>Measure the effectiveness of your AI decisioning by tracking both model performance (such as AUC or lift) and business KPIs (e.g., revenue, <a href="https://insiderone.com/what-is-customer-lifetime-value-clv-and-why-does-it-matter/" target="_blank" rel="noreferrer noopener">customer lifetime value</a>). Use this data to refine your AI models, experiment with different approaches, and shift from segments to truly personalized experiences for individual customers.</p>
<p><strong>Tip:</strong> Continuously report on both business and technical KPIs to understand the full impact of AI decisioning.</p>
<h3 class="wp-block-heading" id="6-scale-ethically-and-responsibly"><strong>6. Scale ethically and responsibly</strong></h3>
<p>As you scale AI decisioning, make sure you maintain ethical standards. Audit your AI decisions to ensure transparency, monitor for bias, and establish clear rules for data usage and decision-making outcomes. Building trust with customers is key to long-term success, so ethical AI practices should be at the forefront of your strategy.</p>
<p><strong>Tip:</strong> Implement safeguards to monitor and refine your AI models to ensure fairness and transparency.</p>
<h3 class="wp-block-heading" id="what-to-avoid-when-implementing-ai-decisioning"><strong>What to avoid when implementing AI decisioning</strong></h3>
<ul class="wp-block-list">
<li><strong>Ignoring real‑time signals:</strong> Real-time decisioning depends on fresh data and immediate context. Failing to capture and act on real-time signals can lead to missed opportunities or irrelevant experiences.<br></li>
<li><strong>Assuming AI will fix broken data:</strong> AI decisioning won’t fix poor-quality or fragmented data. Prioritize data quality and integration before scaling AI.<br></li>
<li><strong>Failing to define success metrics:</strong> Without clear success metrics and goals, it’s impossible to measure the effectiveness of your AI decisioning program. Always define success before starting.</li>
</ul>
<p>By following these steps, businesses can effectively implement AI decisioning at scale, ensuring they achieve significant <a href="https://insiderone.com/personalization-at-scale/" target="_blank" rel="noreferrer noopener">personalization</a> results while remaining agile and customer-centric.</p>
<h3 class="wp-block-heading" id="deliver-true-1-1-personalization-at-scale-with-insider-one"><strong>Deliver true 1:1 personalization at scale with Insider One</strong></h3>
<p>To truly harness the power of AI decisioning, businesses need an integrated platform that brings together data, orchestration, and real-time AI-powered personalization. <a href="https://insiderone.com/" target="_blank" rel="noreferrer noopener">Insider One</a> makes this possible by operationalizing decisioning at scale, allowing brands to create personalized, seamless experiences across multiple touchpoints.</p>
<p>Here’s how Insider One supports the key enablers of effective AI decisioning:</p>
<ul class="wp-block-list">
<li><a href="https://insiderone.com/customer-data-management/unified-profiles/" target="_blank" rel="noreferrer noopener"><strong>Unified customer data</strong></a>: Insider One integrates real-time, first-party data to create unified customer profiles, giving brands a complete view of each customer’s behavior, preferences, and intent. This enables better decisioning, driving more accurate and meaningful interactions.<br></li>
<li><a href="https://insiderone.com/customer-journey/orchestration/" target="_blank" rel="noreferrer noopener"><strong>Omnichannel orchestration</strong></a>: With Insider One, brands can orchestrate AI-driven decisioning across channels, from web and mobile to email and social. AI determines the next best action, whether it’s a personalized message via web chat, SMS, or an in-app push notification, ensuring consistency and relevance at every touchpoint.<br></li>
<li><a href="https://insiderone.com/ai-overview/" target="_blank" rel="noreferrer noopener"><strong>Predictive & generative AI</strong></a>: Insider One uses predictive analytics to model customer behavior and recommend the best action for each individual. Generative AI then fuels hyper-personalized conversations, adapting in real-time to customer interactions for deeper engagement.<br></li>
<li><a href="https://insiderone.com/ai-personalization/" target="_blank" rel="noreferrer noopener"><strong>Real-time personalization</strong></a>: With Insider One, you can deliver real-time personalized offers and messages across all channels. The platform’s decisioning engine adapts automatically to changes in customer behavior, helping you scale 1:1 personalization without manual effort.</li>
</ul>
<p>With Insider One, you can maximize engagement, reduce manual work, and scale personalized, real-time conversations effectively and responsibly.</p>
<p><a href="https://insiderone.com/product-demo-hub/" target="_blank" rel="noreferrer noopener"><strong>Take a demo</strong></a><strong> to see how Insider One powers personalized, real-time conversations across channels.</strong></p>
<h2 class="wp-block-heading" id="faqs">FAQs</h2>
<div class="schema-faq wp-block-yoast-faq-block"><div class="schema-faq-section" id="faq-question-1770013269910"><strong class="schema-faq-question"><strong>What is AI decisioning?</strong></strong> <p class="schema-faq-answer">AI decisioning refers to the process by which artificial intelligence autonomously makes marketing decisions in real time. This includes selecting the most effective channel, product, message, or action for a customer, all based on behavioral, contextual, and historical data. AI decisioning goes beyond traditional rule-based automation by continually adapting to new data and customer interactions.</p> </div> <div class="schema-faq-section" id="faq-question-1770013289039"><strong class="schema-faq-question"><strong>How does AI decisioning differ from next-best-action?</strong></strong> <p class="schema-faq-answer">While next-best-action is the strategy or framework for determining the best action to take next in a customer’s journey, AI decisioning is the engine that continuously calculates and implements this strategy. AI decisioning utilises real-time data and predictive models to make personalised, dynamic decisions on an individual basis across various touchpoints, whereas next-best-action serves as a broader guiding principle.</p> </div> <div class="schema-faq-section" id="faq-question-1770013308120"><strong class="schema-faq-question"><strong>Can AI decisioning optimize for multiple channels?</strong></strong> <p class="schema-faq-answer">Yes. AI decisioning can optimize customer engagement across multiple channels, including web, app, email, SMS, social media, and more. By using a unified view of the customer, AI can select the most appropriate channel and timing for each customer interaction, ensuring consistency and relevance in communication across all touchpoints.</p> </div> <div class="schema-faq-section" id="faq-question-1770013322361"><strong class="schema-faq-question"><strong>How does AI ensure ethical personalization?</strong></strong> <p class="schema-faq-answer">Ethical personalization is ensured by using transparent AI practices, obtaining clear consent from customers, and adhering to data privacy regulations. AI decisioning platforms implement safeguards to prevent bias in models, monitor for fairness, and ensure that personalized experiences are built on responsible data usage, all while maintaining customer trust.</p> </div> <div class="schema-faq-section" id="faq-question-1770013335981"><strong class="schema-faq-question"><strong>What metrics improve with AI decisioning?</strong></strong> <p class="schema-faq-answer">AI decisioning can significantly improve key metrics such as revenue per user, conversion rate, average order value (AOV), customer retention, and customer lifetime value (CLV). It also helps reduce customer acquisition costs (CAC) through better targeting and personalization. By continuously optimizing these metrics, AI decisioning enables brands to provide highly relevant, real-time interactions that drive measurable business outcomes.</p> </div> </div>
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<div class="wt-cli-cookie-bar-container" data-nosnippet="true"><!--googleoff: all--><div id="cookie-law-info-bar" role="dialog" aria-live="polite" aria-label="cookieconsent" aria-describedby="wt-cli-cookie-banner" data-cli-geo-loc="0" style="text-align:left; padding:15px 30px; border-color:rgb(51, 51, 51); font-weight:400; font-size:10px; background:radial-gradient(74.99% 100% at 0% 25.01%, rgba(244, 72, 43, 0.03) 0%, rgba(244, 72, 43, 0) 75%), radial-gradient(114.73% 141.42% at 100% 100%, rgba(244, 72, 43, 0.03) 0%, rgba(244, 72, 43, 0) 75%), linear-gradient(0deg, rgb(255, 255, 255) 0%, rgba(255, 255, 255, 0.7) 100%), rgba(239, 235, 228, 0.7); border-radius:24px; box-shadow:0 6px 6px -3px var(--Shadow-Dark-S, rgba(38, 26, 40, 0.05)), 0 3px 3px -1.5px var(--Shadow-Dark-S, rgba(38, 26, 40, 0.05)), 0 1px 1px -0.5px var(--Shadow-Dark-S, rgba(38, 26, 40, 0.05)), 0 0 0 1px var(--Shadow-Dark-M, rgba(38, 26, 40, 0.10));" class="wt-cli-cookie-bar"><div class="cli-wrapper"><h5 role="heading" aria-level="5" tabindex="0" id="wt-cli-cookie-banner-title" style="display:block; background-color:rgba(0, 0, 0, 0); border-color:rgb(38, 26, 40); color:rgb(38, 26, 40); font-family:var(--Font-Family-Sans-Serif, Figtree); font-size:var(--Font-Font-Size-L, 20px); font-style:normal; font-weight:var(--Font-Font-Weight-Semi-Bold, 600); line-height:var(--Font-Line-Height-XL, 28px); letter-spacing:var(--Font-Letter-Spacing-M, 0.2px);">This website uses cookies</h5><span id="wt-cli-cookie-banner"><div class="cli-bar-container cli-style-v2"><div class="cli-bar-message" style="font-size:10px!important">Cookies are used on this website to personalize content and ads and to provide analytics about website usage. We also share information about your use of our website with our social media, advertising, and analytics partner. Our partners may combine this information with other data that you have provided to them or that they have collected in the course of your use of the Services. Please make your individual settings about the types of cookies that should be allowed. Please note that due to your setting, all functions of the website may no longer be available. You can also revoke your consent at any time.<br />
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Further information on the details of the data involved, the storage period, access to your data by third parties, third country data transfers and your right of revocation can be found under <a id="wt-cli-settings-btn" tabindex="0" role='button' style="border-bottom:1px solid rgb(137, 136, 136); text-decoration:none; border-top-color:rgb(137, 136, 136); border-right-color:rgb(137, 136, 136); border-left-color:rgb(137, 136, 136); font-family:gilroy,Arial,sans-serif,apple color emoji,segoe ui emoji,segoe ui symbol,noto color emoji; ;"class="wt-cli-element cli_settings_button" >cookie settings</a> and in our <a href="https://insiderone.com/privacy-policy/">privacy policy.</a> <a href="https://insiderone.com/legal/">Legal information.</a><br />
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<div class="cli-bar-btn_container"><a id="wt-cli-accept-all-btn" tabindex="0" role='button' style="border-radius:22px; padding:8px 25px; border-color:rgb(255, 255, 255); font-size:12px; font-weight:500;" data-cli_action="accept_all" class="wt-cli-element medium cli-plugin-button wt-cli-accept-all-btn cookie_action_close_header cli_action_button" >Accept All</a><a id="wt-cli-accept-btn" tabindex="0" role='button' style="margin:5px 0px 5px 10px; border-radius:50px; padding:8px 25px; border-color:rgb(255, 255, 255); font-weight:400; font-family:Figtree, Arial, sans-serif, 'apple color emoji', 'segoe ui emoji', 'segoe ui symbol', 'noto color emoji'; font-size:12px;" data-cli_action="accept" class="wt-cli-element medium cli-plugin-button cli-plugin-main-button cookie_action_close_header cli_action_button" >Only Necessary</a><a id="wt-cli-reject-btn" tabindex="0" role='button' style="margin:5px 5px 5px 0px; border-radius:50px; padding:8px 25px; border-color:rgb(255, 255, 255); font-weight:400; font-size:12px;" class="wt-cli-element medium cli-plugin-button cli-plugin-main-button cookie_action_close_header_reject cli_action_button" data-cli_action="reject">Decline All</a></div></div></span></div></div><div tabindex="0" id="cookie-law-info-again" style="display:none;"><span id="cookie_hdr_showagain">Manage consent</span></div><div class="cli-modal" id="cliSettingsPopup" role="dialog" aria-labelledby="wt-cli-privacy-title" tabindex="-1" aria-hidden="true">
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<h4 id='wt-cli-privacy-title'>Privacy Overview</h4> <div class="cli-privacy-content">
<div class="cli-privacy-content-text">This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.</div>
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<a id="wt-cli-tab-link-necessary" tabindex="0" role="tab" aria-expanded="false" aria-describedby="wt-cli-tab-necessary" aria-controls="wt-cli-tab-necessary" class="cli-nav-link cli-settings-mobile" data-target="necessary" data-toggle="cli-toggle-tab">
Necessary </a>
<div class="wt-cli-necessary-checkbox">
<input type="checkbox" class="cli-user-preference-checkbox" id="wt-cli-checkbox-necessary" aria-label="Necessary" data-id="checkbox-necessary" checked="checked" />
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Always Enabled </span>
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<div id="wt-cli-tab-necessary" tabindex="0" role="tabpanel" aria-labelledby="wt-cli-tab-link-necessary" class="cli-tab-pane cli-fade" data-id="necessary">
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<table class="wt-cli-element cookielawinfo-row-cat-table cookielawinfo-winter"><thead><tr><th scope="col" class="cookielawinfo-column-1">Cookie</th><th scope="col" class="cookielawinfo-column-3">Duration</th><th scope="col" class="cookielawinfo-column-4">Description</th></tr></thead><tbody><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">__cf_bm</td><td class="cookielawinfo-column-3">1 hour</td><td class="cookielawinfo-column-4">This cookie, set by Cloudflare, is used to support Cloudflare Bot Management.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">__Secure-ENID</td><td class="cookielawinfo-column-3">1 year 1 month</td><td class="cookielawinfo-column-4">The __Secure-ENID cookie is a type of secure cookie used for authentication and to ensure the security of user sessions.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">_cfuvid</td><td class="cookielawinfo-column-3">session</td><td class="cookielawinfo-column-4">Cloudflare sets this cookie to track users across sessions to optimize user experience by maintaining session consistency and providing personalized services</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">_GRECAPTCHA</td><td class="cookielawinfo-column-3">6 months</td><td class="cookielawinfo-column-4">Google Recaptcha service sets this cookie to identify bots to protect the website against malicious spam attacks.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">_shopify_essential</td><td class="cookielawinfo-column-3">session</td><td class="cookielawinfo-column-4">Shopify sets this cookie, which contains essential information required for the proper functioning of a store, such as session details, checkout information and anti-tampering data.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">AWSALBCORS</td><td class="cookielawinfo-column-3">7 days</td><td class="cookielawinfo-column-4">Amazon Web Services set this cookie for load balancing.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">connect.sid</td><td class="cookielawinfo-column-3">2 hours</td><td class="cookielawinfo-column-4">This cookie is used for authentication and for secure log-in. It registers the log-in information.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">cookielawinfo-checkbox-advertisement</td><td class="cookielawinfo-column-3">1 year</td><td class="cookielawinfo-column-4">The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Advertisement".</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">cookielawinfo-checkbox-analytics</td><td class="cookielawinfo-column-3">1 year</td><td class="cookielawinfo-column-4">This cookies is set by GDPR Cookie Consent WordPress Plugin. The cookie is used to remember the user consent for the cookies under the category "Analytics".</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">cookielawinfo-checkbox-necessary</td><td class="cookielawinfo-column-3">1 year</td><td class="cookielawinfo-column-4">This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">cookielawinfo-checkbox-performance</td><td class="cookielawinfo-column-3">1 year</td><td class="cookielawinfo-column-4">This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">datadome</td><td class="cookielawinfo-column-3">session</td><td class="cookielawinfo-column-4">This is a security cookie set by Force24 to detect BOTS and malicious traffic.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">elementor</td><td class="cookielawinfo-column-3">never</td><td class="cookielawinfo-column-4">The website's WordPress theme uses this cookie. It allows the website owner to implement or change the website's content in real-time.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">localization</td><td class="cookielawinfo-column-3">1 year</td><td class="cookielawinfo-column-4">The localization cookie stores user preferences for language and region to provide a personalized browsing experience.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">rc::a</td><td class="cookielawinfo-column-3">never</td><td class="cookielawinfo-column-4">This cookie is set by the Google recaptcha service to identify bots to protect the website against malicious spam attacks.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">rc::b</td><td class="cookielawinfo-column-3">session</td><td class="cookielawinfo-column-4">This cookie is set by the Google recaptcha service to identify bots to protect the website against malicious spam attacks.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">rc::c</td><td class="cookielawinfo-column-3">session</td><td class="cookielawinfo-column-4">This cookie is set by the Google recaptcha service to identify bots to protect the website against malicious spam attacks.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">rc::f</td><td class="cookielawinfo-column-3">never</td><td class="cookielawinfo-column-4">This cookie is set by the Google recaptcha service to identify bots to protect the website against malicious spam attacks.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">viewed_cookie_policy</td><td class="cookielawinfo-column-3">1 year</td><td class="cookielawinfo-column-4">The GDPR Cookie Consent plugin sets the cookie to store whether or not the user has consented to use cookies. It does not store any personal data.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">VISITOR_PRIVACY_METADATA</td><td class="cookielawinfo-column-3">6 months</td><td class="cookielawinfo-column-4">YouTube sets this cookie to store the user's cookie consent state for the current domain.</td></tr></tbody></table></div>
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<div class="cli-tab-section">
<div class="cli-tab-header">
<a id="wt-cli-tab-link-functional" tabindex="0" role="tab" aria-expanded="false" aria-describedby="wt-cli-tab-functional" aria-controls="wt-cli-tab-functional" class="cli-nav-link cli-settings-mobile" data-target="functional" data-toggle="cli-toggle-tab">
Functional </a>
<div class="cli-switch">
<input type="checkbox" class="cli-user-preference-checkbox" id="wt-cli-checkbox-functional" aria-label="functional" data-id="checkbox-functional" role="switch" aria-controls="wt-cli-tab-link-functional" aria-labelledby="wt-cli-tab-link-functional" />
<label for="wt-cli-checkbox-functional" class="cli-slider" data-cli-enable="Enabled" data-cli-disable="Disabled"><span class="wt-cli-sr-only">functional</span></label>
</div>
</div>
<div class="cli-tab-content">
<div id="wt-cli-tab-functional" tabindex="0" role="tabpanel" aria-labelledby="wt-cli-tab-link-functional" class="cli-tab-pane cli-fade" data-id="functional">
<div class="wt-cli-cookie-description">Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
<table class="wt-cli-element cookielawinfo-row-cat-table cookielawinfo-winter"><thead><tr><th scope="col" class="cookielawinfo-column-1">Cookie</th><th scope="col" class="cookielawinfo-column-3">Duration</th><th scope="col" class="cookielawinfo-column-4">Description</th></tr></thead><tbody><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">__hssc</td><td class="cookielawinfo-column-3">30 minutes</td><td class="cookielawinfo-column-4">This cookie is set by HubSpot. The purpose of the cookie is to keep track of sessions. This is used to determine if HubSpot should increment the session number and timestamps in the __hstc cookie. It contains the domain, viewCount (increments each pageView in a session), and session start timestamp.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">bcookie</td><td class="cookielawinfo-column-3">11 months</td><td class="cookielawinfo-column-4">This cookie is set by linkedIn. The purpose of the cookie is to enable LinkedIn functionalities on the page.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">lang</td><td class="cookielawinfo-column-3">session</td><td class="cookielawinfo-column-4">This cookie is used to store the language preferences of a user to serve up content in that stored language the next time user visit the website.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">lidc</td><td class="cookielawinfo-column-3">1 day</td><td class="cookielawinfo-column-4">This cookie is set by LinkedIn and used for routing.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">yt-remote-cast-available</td><td class="cookielawinfo-column-3">session</td><td class="cookielawinfo-column-4">The yt-remote-cast-available cookie is used to store the user's preferences regarding whether casting is available on their YouTube video player.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">yt-remote-cast-installed</td><td class="cookielawinfo-column-3">session</td><td class="cookielawinfo-column-4">The yt-remote-cast-installed cookie is used to store the user's video player preferences using embedded YouTube video.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">yt-remote-connected-devices</td><td class="cookielawinfo-column-3">never</td><td class="cookielawinfo-column-4">YouTube sets this cookie to store the user's video preferences using embedded YouTube videos.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">yt-remote-device-id</td><td class="cookielawinfo-column-3">never</td><td class="cookielawinfo-column-4">YouTube sets this cookie to store the user's video preferences using embedded YouTube videos.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">yt-remote-fast-check-period</td><td class="cookielawinfo-column-3">session</td><td class="cookielawinfo-column-4">The yt-remote-fast-check-period cookie is used by YouTube to store the user's video player preferences for embedded YouTube videos.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">yt-remote-session-app</td><td class="cookielawinfo-column-3">session</td><td class="cookielawinfo-column-4">The yt-remote-session-app cookie is used by YouTube to store user preferences and information about the interface of the embedded YouTube video player.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">yt-remote-session-name</td><td class="cookielawinfo-column-3">session</td><td class="cookielawinfo-column-4">The yt-remote-session-name cookie is used by YouTube to store the user's video player preferences using embedded YouTube video.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">ytidb::LAST_RESULT_ENTRY_KEY</td><td class="cookielawinfo-column-3">never</td><td class="cookielawinfo-column-4">The cookie ytidb::LAST_RESULT_ENTRY_KEY is used by YouTube to store the last search result entry that was clicked by the user. This information is used to improve the user experience by providing more relevant search results in the future.</td></tr></tbody></table></div>
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</div>
</div>
<div class="cli-tab-section">
<div class="cli-tab-header">
<a id="wt-cli-tab-link-performance" tabindex="0" role="tab" aria-expanded="false" aria-describedby="wt-cli-tab-performance" aria-controls="wt-cli-tab-performance" class="cli-nav-link cli-settings-mobile" data-target="performance" data-toggle="cli-toggle-tab">
Performance </a>
<div class="cli-switch">
<input type="checkbox" class="cli-user-preference-checkbox" id="wt-cli-checkbox-performance" aria-label="performance" data-id="checkbox-performance" role="switch" aria-controls="wt-cli-tab-link-performance" aria-labelledby="wt-cli-tab-link-performance" />
<label for="wt-cli-checkbox-performance" class="cli-slider" data-cli-enable="Enabled" data-cli-disable="Disabled"><span class="wt-cli-sr-only">performance</span></label>
</div>
</div>
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<div id="wt-cli-tab-performance" tabindex="0" role="tabpanel" aria-labelledby="wt-cli-tab-link-performance" class="cli-tab-pane cli-fade" data-id="performance">
<div class="wt-cli-cookie-description">Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
<table class="wt-cli-element cookielawinfo-row-cat-table cookielawinfo-winter"><thead><tr><th scope="col" class="cookielawinfo-column-1">Cookie</th><th scope="col" class="cookielawinfo-column-3">Duration</th><th scope="col" class="cookielawinfo-column-4">Description</th></tr></thead><tbody><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">_gat</td><td class="cookielawinfo-column-3">1 minute</td><td class="cookielawinfo-column-4">Google Universal Analytics sets this cookie to restrain request rate and thus limit data collection on high-traffic sites.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">AWSALB</td><td class="cookielawinfo-column-3">7 days</td><td class="cookielawinfo-column-4">AWSALB is an application load balancer cookie set by Amazon Web Services to map the session to the target.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">INGRESSCOOKIE</td><td class="cookielawinfo-column-3">session</td><td class="cookielawinfo-column-4">This cookie is used for load balancing and session stickiness. This technical session identifier is required for some website features.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">YSC</td><td class="cookielawinfo-column-3">session</td><td class="cookielawinfo-column-4">This cookies is set by Youtube and is used to track the views of embedded videos.</td></tr></tbody></table></div>
</div>
</div>
</div>
<div class="cli-tab-section">
<div class="cli-tab-header">
<a id="wt-cli-tab-link-analytics" tabindex="0" role="tab" aria-expanded="false" aria-describedby="wt-cli-tab-analytics" aria-controls="wt-cli-tab-analytics" class="cli-nav-link cli-settings-mobile" data-target="analytics" data-toggle="cli-toggle-tab">
Analytics </a>
<div class="cli-switch">
<input type="checkbox" class="cli-user-preference-checkbox" id="wt-cli-checkbox-analytics" aria-label="analytics" data-id="checkbox-analytics" role="switch" aria-controls="wt-cli-tab-link-analytics" aria-labelledby="wt-cli-tab-link-analytics" />
<label for="wt-cli-checkbox-analytics" class="cli-slider" data-cli-enable="Enabled" data-cli-disable="Disabled"><span class="wt-cli-sr-only">analytics</span></label>
</div>
</div>
<div class="cli-tab-content">
<div id="wt-cli-tab-analytics" tabindex="0" role="tabpanel" aria-labelledby="wt-cli-tab-link-analytics" class="cli-tab-pane cli-fade" data-id="analytics">
<div class="wt-cli-cookie-description">Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
<table class="wt-cli-element cookielawinfo-row-cat-table cookielawinfo-winter"><thead><tr><th scope="col" class="cookielawinfo-column-1">Cookie</th><th scope="col" class="cookielawinfo-column-3">Duration</th><th scope="col" class="cookielawinfo-column-4">Description</th></tr></thead><tbody><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">__hstc</td><td class="cookielawinfo-column-3">11 months</td><td class="cookielawinfo-column-4">This cookie is set by Hubspot and is used for tracking visitors. It contains the domain, utk, initial timestamp (first visit), last timestamp (last visit), current timestamp (this visit), and session number (increments for each subsequent session).</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">_ga</td><td class="cookielawinfo-column-3">1 year</td><td class="cookielawinfo-column-4">This cookie is installed by Google Analytics. The cookie is used to calculate visitor, session, campaign data and keep track of site usage for the site's analytics report. The cookies store information anonymously and assign a randomly generated number to identify unique visitors.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">_ga_*</td><td class="cookielawinfo-column-3">1 year 1 month 4 days</td><td class="cookielawinfo-column-4">Google Analytics sets this cookie to store and count page views.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">_gat_UA-*</td><td class="cookielawinfo-column-3">1 minute</td><td class="cookielawinfo-column-4">Google Analytics sets this cookie for user behaviour tracking.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">_gat_UA-81205217-1</td><td class="cookielawinfo-column-3">1 minute</td><td class="cookielawinfo-column-4">This is a pattern type cookie set by Google Analytics, where the pattern element on the name contains the unique identity number of the account or website it relates to. It appears to be a variation of the _gat cookie which is used to limit the amount of data recorded by Google on high traffic volume websites.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">_gcl_au</td><td class="cookielawinfo-column-3">3 months</td><td class="cookielawinfo-column-4">This cookie is used by Google Analytics to understand user interaction with the website.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">_gd_session</td><td class="cookielawinfo-column-3">4 hours</td><td class="cookielawinfo-column-4">6sense sets this cookie to collect information on users' visits to the website. It collects data such as the total number of visits, the average time spent on the website and the pages loaded.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">_gd_visitor</td><td class="cookielawinfo-column-3">1 year 1 month 4 days</td><td class="cookielawinfo-column-4">6sense sets this cookie, which is used for collecting information on the user's visit, such as the number of visits, average time spent on the website and the pages loaded for displaying targeted ads.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">_gid</td><td class="cookielawinfo-column-3">1 day</td><td class="cookielawinfo-column-4">This cookie is installed by Google Analytics. The cookie is used to store information of how visitors use a website and helps in creating an analytics report of how the website is doing. The data collected including the number visitors, the source where they have come from, and the pages visted in an anonymous form.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">_hjSession_*</td><td class="cookielawinfo-column-3">1 hour</td><td class="cookielawinfo-column-4">Hotjar sets this cookie to ensure data from subsequent visits to the same site is attributed to the same user ID, which persists in the Hotjar User ID, which is unique to that site.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">_hjSessionUser_*</td><td class="cookielawinfo-column-3">1 year</td><td class="cookielawinfo-column-4">Hotjar sets this cookie to ensure data from subsequent visits to the same site is attributed to the same user ID, which persists in the Hotjar User ID, which is unique to that site.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">_shopify_s</td><td class="cookielawinfo-column-3">1 hour</td><td class="cookielawinfo-column-4">This cookie is associated with Shopify's analytics suite.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">_shopify_y</td><td class="cookielawinfo-column-3">1 year</td><td class="cookielawinfo-column-4">This cookie is associated with Shopify's analytics suite.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">AEC</td><td class="cookielawinfo-column-3">6 months</td><td class="cookielawinfo-column-4">AEC cookies are used to ensure user data remains consistent during an Analytics session.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">hubspotutk</td><td class="cookielawinfo-column-3">11 months</td><td class="cookielawinfo-column-4">This cookie is used by HubSpot to keep track of the visitors to the website. This cookie is passed to Hubspot on form submission and used when deduplicating contacts.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">vuid</td><td class="cookielawinfo-column-3">1 year</td><td class="cookielawinfo-column-4">Vimeo installs this cookie to collect tracking information by setting a unique ID to embed videos on the website.</td></tr></tbody></table></div>
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<table class="wt-cli-element cookielawinfo-row-cat-table cookielawinfo-winter"><thead><tr><th scope="col" class="cookielawinfo-column-1">Cookie</th><th scope="col" class="cookielawinfo-column-3">Duration</th><th scope="col" class="cookielawinfo-column-4">Description</th></tr></thead><tbody><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">_fbp</td><td class="cookielawinfo-column-3">3 months</td><td class="cookielawinfo-column-4">This cookie is set by Facebook to deliver advertisement when they are on Facebook or a digital platform powered by Facebook advertising after visiting this website.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">bscookie</td><td class="cookielawinfo-column-3">11 months</td><td class="cookielawinfo-column-4">This cookie is a browser ID cookie set by Linked share Buttons and ad tags.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">c</td><td class="cookielawinfo-column-3">6 months 2 days</td><td class="cookielawinfo-column-4">Rubicon Project sets this cookie to control the synchronization of user identification and the exchange of user data between various ad services.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">fr</td><td class="cookielawinfo-column-3">3 months</td><td class="cookielawinfo-column-4">The cookie is set by Facebook to show relevant advertisments to the users and measure and improve the advertisements. The cookie also tracks the behavior of the user across the web on sites that have Facebook pixel or Facebook social plugin.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">IDE</td><td class="cookielawinfo-column-3">11 months</td><td class="cookielawinfo-column-4">Used by Google DoubleClick and stores information about how the user uses the website and any other advertisement before visiting the website. This is used to present users with ads that are relevant to them according to the user profile.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">test_cookie</td><td class="cookielawinfo-column-3">15 minutes</td><td class="cookielawinfo-column-4">This cookie is set by doubleclick.net. The purpose of the cookie is to determine if the user's browser supports cookies.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">VISITOR_INFO1_LIVE</td><td class="cookielawinfo-column-3">5 months 27 days</td><td class="cookielawinfo-column-4">This cookie is set by Youtube. Used to track the information of the embedded YouTube videos on a website.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">yt.innertube::nextId</td><td class="cookielawinfo-column-3">never</td><td class="cookielawinfo-column-4">YouTube sets this cookie to register a unique ID to store data on what videos from YouTube the user has seen.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">yt.innertube::requests</td><td class="cookielawinfo-column-3">never</td><td class="cookielawinfo-column-4">YouTube sets this cookie to register a unique ID to store data on what videos from YouTube the user has seen.</td></tr></tbody></table></div>
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<table class="wt-cli-element cookielawinfo-row-cat-table cookielawinfo-winter"><thead><tr><th scope="col" class="cookielawinfo-column-1">Cookie</th><th scope="col" class="cookielawinfo-column-3">Duration</th><th scope="col" class="cookielawinfo-column-4">Description</th></tr></thead><tbody><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">__cflb</td><td class="cookielawinfo-column-3">1 hour</td><td class="cookielawinfo-column-4">This cookie is used by Cloudflare for load balancing.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">__Secure-ROLLOUT_TOKEN</td><td class="cookielawinfo-column-3">6 months</td><td class="cookielawinfo-column-4">Description is currently not available.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">__Secure-YEC</td><td class="cookielawinfo-column-3">past</td><td class="cookielawinfo-column-4">Description is currently not available.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">__Secure-YNID</td><td class="cookielawinfo-column-3">6 months</td><td class="cookielawinfo-column-4">Description is currently not available.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">__tld__</td><td class="cookielawinfo-column-3">session</td><td class="cookielawinfo-column-4">Description is currently not available.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">_an_uid</td><td class="cookielawinfo-column-3">7 days</td><td class="cookielawinfo-column-4">No description available.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">_dd_s</td><td class="cookielawinfo-column-3">1 year</td><td class="cookielawinfo-column-4">No description available.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">_w_session</td><td class="cookielawinfo-column-3">14 days</td><td class="cookielawinfo-column-4">Description is currently not available.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">_zitok</td><td class="cookielawinfo-column-3">1 year</td><td class="cookielawinfo-column-4">Description is currently not available.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">aka_edgescape</td><td class="cookielawinfo-column-3">session</td><td class="cookielawinfo-column-4">No description available.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">aka_edgescape_country</td><td class="cookielawinfo-column-3">session</td><td class="cookielawinfo-column-4">No description available.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">akaalb_enterprise_aws</td><td class="cookielawinfo-column-3">session</td><td class="cookielawinfo-column-4">Description is currently not available.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">akaas_audseg_bobbibrowncosmetics_com</td><td class="cookielawinfo-column-3">7 days</td><td class="cookielawinfo-column-4">Description is currently not available.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">akaas_audseg_origins_com</td><td class="cookielawinfo-column-3">7 days</td><td class="cookielawinfo-column-4">Description is currently not available.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">Akamai-Edgescape</td><td class="cookielawinfo-column-3">session</td><td class="cookielawinfo-column-4">Description is currently not available.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">AnalyticsSyncHistory</td><td class="cookielawinfo-column-3">1 month</td><td class="cookielawinfo-column-4">No description</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">authenticity_token</td><td class="cookielawinfo-column-3">session</td><td class="cookielawinfo-column-4">No description available.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">cookielawinfo-checkbox-functional</td><td class="cookielawinfo-column-3">1 year</td><td class="cookielawinfo-column-4">The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">cookielawinfo-checkbox-others</td><td class="cookielawinfo-column-3">1 year</td><td class="cookielawinfo-column-4">No description</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">dd_anonymous_id</td><td class="cookielawinfo-column-3">1 year</td><td class="cookielawinfo-column-4">Description is currently not available.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">ins-c</td><td class="cookielawinfo-column-3">1 day</td><td class="cookielawinfo-column-4">No description</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">ins-current-currency</td><td class="cookielawinfo-column-3">never</td><td class="cookielawinfo-column-4">No description available.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">ins-gaSSId</td><td class="cookielawinfo-column-3">never</td><td class="cookielawinfo-column-4">This cookie is set by the useinsider. This cookie is used for calculating the impact of special campaigns.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">ins-storage-version</td><td class="cookielawinfo-column-3">1 year</td><td class="cookielawinfo-column-4">No description</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">insdrPushCookieStatus</td><td class="cookielawinfo-column-3">1 day</td><td class="cookielawinfo-column-4">This cookie is set by the provider Insider One. This cookie is used for web push recieving.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">js_enabled</td><td class="cookielawinfo-column-3">session</td><td class="cookielawinfo-column-4">No description available.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">RUL</td><td class="cookielawinfo-column-3">1 year</td><td class="cookielawinfo-column-4">No description</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">UserMatchHistory</td><td class="cookielawinfo-column-3">1 month</td><td class="cookielawinfo-column-4">Linkedin - Used to track visitors on multiple websites, in order to present relevant advertisement based on the visitor's preferences.</td></tr><tr class="cookielawinfo-row"><td class="cookielawinfo-column-1">WMF-Uniq</td><td class="cookielawinfo-column-3">1 year</td><td class="cookielawinfo-column-4">Description is currently not available.</td></tr></tbody></table></div>
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