Content Performance Learning Hub
We've spent years figuring out what makes content actually work in Southeast Asian markets. Now we're sharing that knowledge with teams who want to understand the real mechanics behind content success.
What Drives Our Training Approach
Look, we're not trying to turn you into data scientists overnight. Most of our training clients just want practical skills they can use Monday morning. And that's exactly what we focus on.
Real Scenarios First
Every module starts with actual situations we've encountered. Last year, we walked through a case where a Bangkok retail brand saw their engagement drop 40% after a platform algorithm change. We reverse-engineered what happened and how they adapted.
Small Group Sessions
We cap sessions at eight people because honestly, that's when conversations get interesting. Someone always brings up a challenge that sparks a better discussion than any lecture we could prepare.
Your Data, Your Context
Bring your own analytics dashboards. Half the learning happens when you're looking at your actual numbers and someone points out patterns you've been missing. It's uncomfortable sometimes, but that's where growth happens.
No Homework Theater
We assign practical exercises, but they're designed to take 30 minutes max. You've got a business to run. If an assignment takes longer than that, we've probably overcomplicated it.
How We Actually Teach This Stuff
Our lead instructor, Karina Vesper, spent five years managing content for regional e-commerce platforms before joining us. She's the type who'll interrupt her own presentation if someone's face shows confusion.
Most training sessions feel like working sessions with a colleague who happens to know more about analytics tools. We use real dashboards, live content audits, and actual performance reports from businesses similar to yours.
The goal isn't to memorize frameworks. It's to develop instincts about what questions to ask when your numbers shift. Because they will shift, and you need to know whether to panic or pivot.
Where Content Performance Is Heading
The metrics that mattered two years ago don't carry the same weight now. Platforms are changing how they measure engagement, and businesses need to keep up.
Platform Algorithm Transparency
More networks are starting to explain their ranking systems. This doesn't make optimization easier, but it does make strategy more predictable. We're teaching teams how to read these signals before they become official announcements.
Cross-Platform Attribution
Customers rarely convert on the same platform where they first see your content. By late 2025, we expect most businesses will need multi-touch attribution models. It sounds technical, but it's really just connecting the dots across channels.
Local Language Nuances
Translation tools are getting better, but they still miss cultural context. Thai business idioms don't translate directly, and content that works in Bangkok doesn't always resonate in Chiang Mai. This will remain a human skill for the foreseeable future.
Video Content Measurement
Watch time is becoming less important than completion patterns. Where do people drop off? What makes them rewatch a section? These micro-behaviors tell you more than total view counts ever did.
Privacy-First Analytics
Cookie deprecation isn't just a Chrome issue anymore. By mid-2026, we're expecting significant changes in how audience data gets collected. Teams that understand first-party data collection now will have a major advantage.
Dane Eklund
"I focus on the gap between what analytics tools report and what actually drives business results. Sometimes the most important insights come from data points most people ignore."
Torin Bexley
"My background is in retail marketing, so I teach analytics from a business perspective first. The technical stuff makes more sense when you understand what you're actually trying to improve."
How The Program Actually Works
We run cohorts three times per year, with the next session starting in September 2025. Each program runs for six weeks, with one three-hour session per week plus optional office hours.
Audit Your Current State
Week one is diagnosis. Bring your current analytics setup, and we'll identify blind spots together. Most teams discover they're tracking vanity metrics while ignoring data that actually predicts revenue.
Build Your Measurement Framework
Weeks two and three focus on creating dashboards that match your business model. A subscription service needs different KPIs than an e-commerce store. We customize the approach based on what you're actually trying to achieve.
Test and Iterate
Weeks four and five involve running small experiments with your real content. We help you design tests that produce meaningful results without requiring massive traffic volumes. Some of the best insights come from analyzing just 500 user interactions.
Scale What Works
Final week is about implementation planning. You'll leave with a 90-day roadmap that's specific to your team's capacity and resources. We're realistic about what's achievable when you're managing everything else your business demands.
Interested in Joining the September Cohort?
We're accepting applications through July 2025. Sessions happen Tuesday evenings Bangkok time, with recordings available if you miss a week. Previous participants have come from retail, hospitality, professional services, and tech startups.
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