Resources and insights

Attribution & Analytics

You're spending aggressively on performance marketing. Your ad platforms report healthy Return on Ad Spend (ROAS). You tell the CFO the numbers are great, but the total company revenue growth doesn't quite match up. It's the simple, nagging observation that keeps most honest marketers awake: the math doesn't check out.

Conversion Rate Optimization (CRO)

You are doing all the right things, aren't you? You have A/B testing platforms, session recording tools, heatmaps, and a beautifully structured content funnel. You spend hours poring over Google Analytics, identifying the drop-off points, crafting hypotheses, and launching rigorous tests.

Attribution & Analytics

You know the feeling. You’ve followed the official Google Ads conversion guide, implemented the Meta Pixel perfectly with a Tag Manager, and your dashboards are glowing a healthy green. Your cost-per-acquisition (CPA) looks great, and your retargeting campaigns are apparently crushing it.

Multi-Platform & Advanced Tracking

You’ve done the research. You have your list of "high-value CPA keywords", the long-tail, high-intent phrases that cost a premium but promise conversions. These are the golden geese of your Cost Per Acquisition campaigns, the terms that prospective clients use right before they sign a contract, request a demo, or make a significant purchase.

Multi-Platform & Advanced Tracking

The common wisdom in the industry says: start with a basic platform setup, get some initial data flowing, and iterate from there. It sounds practical, even frugal. But this approach is fundamentally flawed, and it’s the structural reason why most companies even sophisticated ones are operating with a massive blind spot.

Meta (Facebook) Ads Tracking

If you run Meta (Facebook/Instagram) ads and feel like your reported Return on Ad Spend (ROAS) is perpetually lower than your actual sales, you are not imagining things. You're simply experiencing the structural reality of modern ad tracking. The problem isn't your product or your campaigns; the problem is the data pipe feeding Meta’s powerful, yet blind, optimization algorithm.

Google Ads Tracking

You’re tracking conversions. You’re using Google Tag Manager (GTM). You’ve implemented Enhanced Conversions. You look at your Google Ads reports and the numbers look… fine. But have you ever felt that nagging suspicion that the sales numbers in your CRM or checkout platform don't quite line up with what Google is reporting? You're right to feel that way.

Multi-Platform & Advanced Tracking

You think you've nailed your analytics setup. You implemented a Data Layer, dropped your Google Tag Manager (GTM) snippet, and followed the standard documentation for your Single Page Application (SPA). You see sessions flowing into your reports, but here’s the sober observation: your data is a ghost town of missing interactions and misattributed conversions.

E-commerce Tracking

You’ve made the strategic leap. You embraced headless commerce, decoupled the frontend and backend, and built a lightning-fast, custom-experience powerhouse. You've unlocked true omnichannel agility. That’s the high-level pitch, and it's mostly true. But let's be blunt: the very architecture that grants you this freedom is actively sabotaging your analytics.