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Documentation Index

Fetch the complete documentation index at: https://docs.pureclarity.com/llms.txt

Use this file to discover all available pages before exploring further.

Campaigns in PureClarity are the foundation of personalized customer experiences on your website. They define what content your visitors see, when they see it, and how it’s targeted to specific customer groups.

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Campaign Components

Each campaign consists of four key elements:

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1. Location (Zone)

Where the campaign displays on your site using zones - designated areas like headers, sidebars, or product pages.

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2. Audience (Segment)

Who sees the campaign through customer segments - groups based on behavior, demographics, or purchase history.

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3. Timing

When the campaign appears - schedule campaigns for specific dates, times, or triggered by customer actions.

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4. Content

What customers see - the actual personalized content, recommendations, banners, or custom HTML.
Campaigns work together in a priority system. PureClarity evaluates each campaign in order until it finds one the customer qualifies for, ensuring everyone sees relevant content.

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Campaign Performance Tracking

PureClarity automatically tracks customer interactions with your campaigns:
  • Click tracking on recommendations and content
  • Conversion attribution when clicked products are purchased
  • Performance metrics to optimize campaign effectiveness
  • Audience actions like adding users to specific segments based on interactions
Use click totals and conversion data to identify your most effective campaigns and replicate successful strategies across other zones.

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Campaign Types and Use Cases

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Product Recommendations

  • Cross-sell and upsell opportunities
  • “Customers who viewed this also bought”
  • Personalized product discovery

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Content Personalization

  • Targeted promotional banners
  • Seasonal campaign messaging
  • Customer-specific offers

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Behavioral Triggers

  • Exit-intent popups
  • Cart abandonment recovery
  • Browse abandonment follow-ups
Explore these guides to master campaign creation and optimization:

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Best Practices

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Start Simple

Begin with AI-powered product recommendations in high-traffic zones, then expand to more complex personalization as you gather data.

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Test and Iterate

Use A/B testing capabilities to compare campaign performance and continuously optimize your personalization strategy.

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Monitor Performance

Regularly review campaign analytics to identify opportunities for improvement and scale successful approaches.