User guide
How Microstock+ Trends V2 works
V2 now uses Adobe Stock search results: file positions, keyword strength, recency, and category context.
AI interface
Market data
Modern technology
Why Adobe Stock
V2 is a quality step forward
Older Shutterstock-based ranking data often looked noisy for contributor decisions: search popularity did not always align with real demand. V2 moves to Adobe Stock because its search results are more useful for contributor-facing trend analysis and give the service a stronger foundation.
Separate rankings by content type
Photos, videos, illustrations, AI and editorial are parsed and scored separately. A video competes with videos; an editorial photo competes inside editorial context. This keeps rankings useful for the exact file type being checked.
What changed in V2
The old logic was built around a Shutterstock-based approach. V2 moves the ranking base to Adobe Stock search results and ranks each media type separately.
Trend indicator 0-100
The indicator scores explicit file metadata keywords, keyword strength, Adobe search positions, freshness and category context.
If metadata keywords are empty, the trend indicator is 0.
Ranked keywords
Keyword score is total keyword strength, frequency shows how often the keyword appears, best position is the best observed Adobe rank.
QuickMeta
QuickMeta uses V2 for Top, Trends, Similar/Visual Similar, realtime autocomplete, and improved keywords.
Why parsing can run today
While today is still being parsed, the UI keeps showing the latest completed database with real Adobe ranking data.
Limits
Trends is not a sales guarantee and does not expose the exact internal formula.
FAQ
Is this a sales forecast?
No. It estimates metadata strength against Adobe Stock search results. It helps decision-making but does not guarantee sales.
Why is the rating not always 100?
100 is reserved for a very strong match with current search-result trends.
Why is the rating 0 without keywords?
MPR scores explicit metadata keywords. If keywords are empty, there is nothing to rank, so the score is 0.
How often is the database updated?
A new slice is collected daily through Freestock extension nodes.
Why do results differ from the old version?
Because V2 is based on Adobe Stock instead of the old Shutterstock-based model and keeps media types separated.