We had a simple question going in: what do we actually know about the watch market? Not what brands say about themselves. Not press releases. Not follower counts. What the market actually shows, in numbers, consistently over time.

This week, we answered the first part.

We've indexed 500+ independent watch brands into a single structured database. For each one, two sources are now connected: Instagram and YouTube. Follower counts, average likes over the last 90 days, how many YouTube reviews exist, total view counts — all in one place, all queryable, all comparable. The view is called v_brand_scorecard.

What this gives you right now: sort 500+ brands by engagement rate and patterns appear that are invisible when you browse accounts one by one. A tier-3 brand with 4,000 followers and 187 average likes sitting next to a tier-1 brand with 186,000 followers and 987 likes tells you something. The smaller brand's engagement rate is five times higher. That's a signal worth knowing about — and until now, there was no way to see it across the whole market at once.

The database answers four questions today: which brands are growing on Instagram, which have real YouTube coverage, how a brand ranks by engagement within its tier, and which small brands are gaining ground faster than their size suggests.

What's New

• v_brand_scorecard launched — 8 fields per brand, Instagram and YouTube connected. Follower counts, average likes over 90 days, YouTube review count, and total views all in one structured view, sortable across 500+ brands.

• Brand tier system introduced — every brand classified into tier-1, tier-2, or tier-3 based on reach and market presence. Makes comparisons between brands meaningful.

• Engagement ranking live — sort any tier by engagement rate and see which brands are outperforming their size. A small brand outperforming a large one shows up immediately.

• Daily Instagram snapshots — follower counts stored per day so trend lines build automatically from day one.

Other Updates

• Brand search performance improved for queries across large datasets

• CSV export now available for all v_brand_scorecard results

• Country of origin field completed for 500+ brand profiles

• Tier labels reviewed and confirmed across all indexed brands

Fixes

• Fixed Instagram average likes not refreshing for brands with recent account changes

• Resolved duplicate brand entries caused by alias mismatches

• Fixed sorting on brands with zero YouTube reviews returning incorrect order

• Corrected missing metadata on 12 brand profiles