Category: AI

The Future of CRO is Cookieless: How to Prepare Your Personalization Strategy

What if the very tool marketers relied on for decades – third-party cookies – is now holding your business back? As privacy regulations tighten and browsers phase out tracking, I’ve seen companies clinging to outdated methods lose ground to agile competitors. The shift isn’t coming – it’s already here. Through my work optimizing conversion strategies, I’ve discovered that businesses succeeding in this new era focus on three pillars: first-party data…

Is Your A/B Testing Tool Lying to You? A Guide to Data Quality and Analytics Health Checks

What if the numbers you trust are leading you astray? Imagine making critical business choices based on flawed results—only to watch revenue plummet and credibility crumble. Sound dramatic? It’s not. Even minor errors in your experimentation process can snowball into catastrophic outcomes. I’ve seen teams lose management buy-in after repeated “surprises” from unreliable metrics. Why? Because experiments aren’t just about launching variations—they’re about building trust. When flawed methods skew outcomes,…

How to Scale Your A/B Testing Program from 10 to 100 Tests Per Month

What if your current testing strategy is actually holding back growth? Despite the $1.08 billion A/B testing industry booming, 72% of marketers feel their experiments fall short. I’ve been there—staring at spreadsheets full of numbers that didn’t translate to real wins. But what changed everything wasn’t working harder. It was working smarter. Early in my career, I hit a wall. Teams spent weeks designing experiments only to drown in conflicting…

From Winning Test to C-Suite Report: How to Communicate the Business Impact of Experimentation

What if your most successful experiment meant nothing to your CEO? This question haunts teams drowning in data but struggling to prove why their work matters. In today’s fast-paced market, running tests isn’t enough—you need a language executives understand. Experimentation-Led Growth (ELG) transforms random tests into a science. It replaces guesswork with frameworks that align teams and decision-makers. But here’s the catch: even groundbreaking results fall flat if they’re trapped…

The Experimentation Bottleneck: How to Secure Dedicated Developer Resources for CRO

What if 98% of your website visitors left without taking action—and you had no way to fix it? For most businesses, this isn’t a hypothetical. Studies show that fewer than 2 out of 100 visitors convert on ecommerce sites. The problem isn’t traffic or product quality. It’s the invisible wall between great ideas and their execution. Customizing a website to improve conversions often feels like navigating a maze blindfolded. Teams…

Beyond Button Colors: A Framework for High-Impact A/B Testing Ideas

What if 86% of your experiments are secretly sabotaging growth? Most teams treat split testing like a guessing game, tweaking superficial elements while missing opportunities for real impact. Let me show you how to break the cycle. Traditional methods focus on easy wins like button colors or headline variations. But here’s the harsh truth: only 14% of these tests drive meaningful results. Why? They ignore the core user experience challenges…

Choosing the Right AI Model for Your Application: A Framework for Decision-Makers

What if the approach your team uses today to evaluate advanced automation tools became obsolete tomorrow? With core technologies doubling their capabilities every six months, yesterday's "cutting-edge" solutions now struggle with tasks that modern systems handle effortlessly. Leading organizations now face a critical challenge: navigating an ecosystem where providers like OpenAI, Anthropic, and Google release smarter versions faster than most teams can test them. The scaling law phenomenon creates a…

Server-Side vs. Client-Side A/B Testing: A Guide for Product and Engineering Leaders

What if your A/B testing method is silently sabotaging your product’s potential? As a leader, you’ve likely faced the dilemma of balancing innovation with stability. Choosing how to test changes in your application isn’t just technical—it shapes user trust, team velocity, and business outcomes. I’ve guided teams through this critical decision for years. The right approach depends on three pillars: your application’s architecture, your team’s technical fluency, and how quickly…

AI for SaaS: How to Integrate Machine Learning to Reduce Churn and Increase LTV

What if your software could predict customer needs before they even arise? The answer lies in today’s most transformative business tool—machine learning. We’ve entered an era where 35% of software companies already use advanced algorithms to retain clients and boost revenue, with 42% more preparing to adopt this technology. Global revenue for intelligent systems is projected to surge past $118 billion by 2025. This growth reflects a fundamental shift: what…

Generative AI for E-commerce: 10 Use Cases Beyond Product Descriptions

What if your online store could anticipate customer needs before they even click? While 43% of business leaders now use intelligent systems to shape strategy, most still limit this technology to basic tasks like crafting product details. The real revolution lies in reimagining every step of the buyer’s journey. Recent data reveals a striking gap: only 14% of shoppers feel truly satisfied with digital purchases. This dissatisfaction isn’t about products—it’s…