Best Business Intelligence Software for Meta Pixel

Find and compare the best Business Intelligence software for Meta Pixel in 2025

Use the comparison tool below to compare the top Business Intelligence software for Meta Pixel on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Segments Reviews

    Segments

    Tresl

    $79 per month
    Automated behavioral segmentation, customer journey mapping and robust reporting. Sync lists from anywhere. The power of a data team within an app. Answer your most complicated marketing questions. To find new opportunities for winning campaigns, you can pivot segments across different dates or customer groups. Plug and play our customer segments in to channels like Google, Facebook, Klaviyo and Klaviyo. You can have one source of truth without having to write a single line code. Segments make data analytics easy for any business owner, whether they are data-savvy or not. Each company, no matter how big or small, should be able to harness data to pursue new possibilities. As part of the LinkedIn data team our job was to target the right users for different campaigns. This activity is affectionately called "list pulls". We stack-ranked users based upon specific criteria and the likelihood of them buying target solutions. Our teams created massive tables that contained hundreds of millions of rows.
  • 2
    B2Metric Reviews

    B2Metric

    B2Metric

    $99 per month
    Platform for customer intelligence data that helps brands analyze user behavior across multiple channels. Analyze data quickly and accurately. AI and ML solutions can help you identify customer behavior patterns to make informed decisions. B2Metric integrates with a wide range of sources, including databases that you use most often. Optimize your retention strategy by predicting churn in customers and taking preventive action accordingly. To enable targeted marketing, categorize customers based on their characteristics, behaviors, and preferences. Optimize marketing strategies by leveraging data-driven insights. This will improve performance, target, personalization and budget. Optimizing touchpoints and tailoring your marketing efforts will help you provide unique customer experiences. AI-based marketing analytics to reduce user churn and increase growth. Advanced ML algorithms can identify customers at risk of churning and develop proactive retention strategy.
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