Google Analytics Archives

What are Core Web Vitals and Why They Matter for Your Website?

Updated: January 19, 2026 by Editorial Team

What are Core Web Vitals, and how to optimize them? If you’re looking for web performance metrics, you’re at right place

Many websites fail Core Web Vitals not because their content is weak or irrelevant, but because they optimize the wrong performance signals. Chasing perfect PageSpeed scores or one-time fixes often overlooks how real users experience a site across devices, networks, and interactions.

Core Web Vitals are designed to measure consistency in real-world performance, not isolated test results.

Google increasingly favors pages that load fast, respond quickly to user interactions, and remain visually stable during loading. When performance falls short, users abandon pages early, engagement drops, and search visibility suffers. Core Web Vitals play a key role in how Google evaluates these experience signals, especially when competing pages offer similar content.

In this guide, I’ll explain what Core Web Vitals are, why they matter for SEO and user experience, how Google assesses them, and how to measure, improve, and track them effectively using PageSpeed Insights, Google Search Console, and Analytify inside WordPress.

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Conversion Intelligence: Using Analytify to Improve AI-Generated Funnels

Updated: January 14, 2026 by Editorial Team

Ever wondered why some users leave your AI-generated pages without converting, even when traffic, load speed, and design all appear optimized? That’s where conversion intelligence analytics comes in.

AI can build funnels at scale, but it cannot judge funnel quality without analytics. Speed and automation mean nothing if you don’t understand how users actually move through the funnel.

Unlike basic tracking, which only shows whether someone converted, conversion intelligence reveals how, why, and where conversions happen. It follows users’ complete journey across pages, events, and interactions.

With these insights, teams can track AI-generated landing pages, identify which pages perform best, and accurately measure funnel drop-offs.

In this guide, we explain how conversion intelligence works and compare it with traditional tracking. We also highlight common AI funnel challenges and show how Analytify helps teams interpret GA4 data, optimize AI funnels, and improve conversions step by step.

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Analytify 8.0 Release (New Features & Enhacements)

Updated: January 7, 2026 by Editorial Team

We are excited to announce the release of Analytify 8.0, a major update focused on performance, usability, and reliability. This release continues our commitment to making Google Analytics simpler and more actionable within WordPress, whether you manage a single site or multiple client projects.

Analytify 8.0 brings noticeable improvements across both Free and Pro versions. From a cleaner codebase and faster load times to smarter diagnostics and better reporting visibility, this update is designed to make your daily analytics workflow smoother and more dependable.

Below is a detailed look at what is new in Analytify 8.0.

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How to Use Analytify to Track AI-Driven Organic Sessions & Zero-Click Traffic

Updated: January 5, 2026 by Editorial Team

Have you noticed your website rankings staying steady, but traffic seems to drop? If so, you’re not alone, and it’s a new challenge in the age of AI-driven traffic.

With AI-powered search, users often get instant answers, summaries, or zero-click results right on the search page. This means people may read your content without ever visiting your site.

Many site owners experience this confusion in GA4. Where organic traffic appears to drop even though rankings and SEO performance remain stable. This makes it difficult to understand how your content is truly performing.

In this guide, you’ll learn how to track AI-driven traffic, measure AI search traffic impact, and monitor zero-click search analytics. You’ll also discover how to analyze GA4 organic traffic changes using Analytify to track AI-driven organic traffic effectively.

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Voice Search Optimization in 2026: How to Optimize Content Using Analytics Data

Updated: January 5, 2026 by Editorial Team

Looking for voice search optimization using analytics data?

Voice search has evolved from a novelty feature to a mainstream discovery channel. Users now speak full questions instead of typing keywords, often on mobile devices, in cars, or via smart speakers. These queries are longer, more conversational, and frequently location-specific.

Modern voice assistants prioritize clear, concise answers often pulled from featured snippets, FAQ sections, or fast-loading, mobile-optimized pages. Traditional content strategies focused on short keywords and desktop behavior are no longer sufficient.

In this article, you’ll learn data-backed voice search optimization strategies, including how to use GA4 insights surfaced through Analytify, measure content performance, and make updates that improve both traditional SEO and mobile voice search SEO.

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AI-Powered SEO Experiments: How to Analyze Test Results with Analytify

Updated: December 30, 2025 by Editorial Team

Still relying on SEO best practices without testing them on your site? This is where AI-powered SEO experiments make a real difference.

Instead of making SEO changes based on assumptions, AI-powered SEO experiments use AI insights to create clear hypotheses and test real updates. These tests may include content improvements, keyword usage, meta changes, or user experience adjustments on selected pages.

AI SEO analysis helps you understand what actually works for your website. AI identifies pages that need improvement, suggests which elements are worth testing, and predicts which changes are more likely to deliver results. This makes SEO testing faster and more reliable.

In this guide, you’ll learn how AI-Powered SEO experiments work, how to plan them using AI, and how Analytify helps you track and analyze experiment data.

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How to Use Analytify Data to Train Better AI Prompts for Marketing

Updated: December 26, 2025 by Editorial Team

AI tools are everywhere in marketing. But most AI prompts for marketing still rely on guesses instead of real data. That’s why the results often feel generic or misaligned.

AI works best when it is guided by facts. For marketing, those facts live in your analytics.

Analytics prompts for marketing use real GA4 insights, such as top pages, user behavior, traffic sources, and conversions, to guide AI outputs. When prompts are based on actual performance data, AI generates more relevant content, clearer recommendations, and better targeting ideas.

This approach is called data-driven prompt engineering. It means writing AI prompts using real website data instead of assumptions. Rather than asking AI what might work, you show it what already does.

GA4 data can be hard to use directly. This is where Analytify helps. It converts complex GA4 reports into simple, readable insights that marketers can easily plug into AI prompts.

In this guide, you’ll learn how to use Analytify data to train better AI prompts for marketing with clear steps, practical examples, and repeatable frameworks.

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AI Content Velocity: How to Measure Performance of High-Output AI Publishing

Updated: December 24, 2025 by Editorial Team

Are you publishing AI content quickly, but don’t know if it’s actually helping your website?

Many websites now use AI to publish a lot of content quickly, but speed alone does not bring good results. This is where AI content velocity analytics comes in.

Learning AI content velocity analytics is important because it helps you avoid publishing too much low-value content. It shows whether your AI-generated content is helping your site grow or silently hurting rankings, traffic, and content quality.

In this section, you’ll learn what AI content velocity really means and why it matters for SEO. You’ll also see how to track and measure AI-generated content performance using GA4, SEMrush, and Analytify.

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AI-Ready Analytics: How to Optimize WordPress Tracking for LLM Search

Updated: December 22, 2025 by Editorial Team

Are your WordPress analytics ready for AI‑driven search?

As more users turn to LLMs like ChatGPT, Perplexity, and AI Overviews, traditional keyword‑based insights are no longer enough. These AI tools don’t just read your content; they interpret behavioral signals, metadata, and structured data to understand and surface your content in answers.

This is where AI‑ready analytics comes in.

By structuring your WordPress tracking for GA4 and using Analytify, you can make your events, dimensions, and metadata machine‑friendly. AI tools can then read the context of your content, track engagement, and more accurately detect high-value pages.

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User Journeys in GA4: How to Track Every Step on Your WordPress Site

Updated: December 16, 2025 by Editorial Team

Ever wonder how visitors really move through your WordPress site? You’ll be glad to know, you’re in the right place!

GA4 user journey tracking shows how visitors move through your website step by step. It helps you understand their path from the first landing page to key actions like signing up or making a purchase.

Understanding these journeys is important because it shows which steps lead users to take action, identifies where they get stuck, and helps you improve your content. So, visitors move through your site more easily.

In this guide, we’ll discuss everything you need to track GA4 user journey on WordPress. We’ll start by covering the prerequisites and then explain how to set up Path Explorations and Funnels. We’ll also explain how to analyze Cohorts and Segment Overlaps and share tips for troubleshooting common issues.

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