Moat or Commodity? Auditing Squarespace's Q3 Content Backlog
Objective: Given six proposed content pieces, classify each as one of the four moat types or as commodity content using the lesson's framework, then decide which ones deserve budget.
You're a content strategist at Squarespace reviewing a proposed Q3 content calendar. The team pitched six ideas and you have budget to fund three.
Sort the six pitches by moat type, flag any that are commodity content wearing a research costume, and rank the three fundable ones.
Before you start
What you'll need
Free path (everything below is enough to finish)
Free, fast enough for a 6-row classification pass
The process
1 step
Step 01 of 01
The lesson splits moat-grade content into four inputs: product telemetry, original surveys, manual datasets, and operator expertise. Anything that isn't built on one of these is commodity content, no matter how well it's written.
Given six pitch one-liners, which are real moats and which are commodity content mislabeled as research?
Procedure
- List the six pitches with their proposed data source
- Tag each with one of: telemetry, survey, manual dataset, operator expertise, or 'none'
- Flag any pitch tagged 'none' as commodity content regardless of topic quality
1. 'State of Website Builder Speed' - aggregated Core Web Vitals data from Squarespace sites -> TELEMETRY 2. '10 Website Design Trends for 2026' -> NONE (opinion roundup, no proprietary input) 3. 'Survey: 600 small business owners on website costs' -> SURVEY 4. 'How We Rebuilt Our Checkout Flow' (founder engineering post) -> OPERATOR EXPERTISE 5. 'Best Website Builders Compared' -> NONE (comparison, no original data) 6. 'Manual audit of 200 competitor pricing pages' -> MANUAL DATASET
Healthy
Three moat-type pitches get funded; the two 'NONE' pitches get reassigned to a lighter content track or killed.
Unhealthy
Funding 'Best Website Builders Compared' at the same budget tier as the telemetry report because it has a punchier headline.
What this means
A moat type sorts a backlog into fundable versus not, independent of how interesting the topic sounds.
So what do I do about it?
| Symptom | Action | Effort |
|---|---|---|
| Two of six approved pitches have no proprietary data source | Reassign them to the standard blog track instead of the quarterly flagship budget | 30 min |
Final deliverable
A tagged content calendar showing which pitches are real moats, which are commodity content, and a ranked top-3 for Q3 budget.
See a reference example
Zomato Q3 backlog audit (excerpt) FUND 1. 'Delivery Time Index: 40 Indian Cities' - telemetry, own logistics data 2. 'Survey: 800 restaurant owners on discovery habits' - survey DO NOT FUND (commodity) 3. '15 Food Delivery Trends for 2026' - opinion roundup, no data source
Success criteria
You're done when you can:
- Correctly tags all six pitches by moat type or 'none'
- Ranks the three fundable pitches ahead of the three commodity ones