Art Market

STRATEGIC POSITIONING TOOL
CASE STUDY / DATA & STRATEGY
IDAN WIZEN — 2024
Problem: How do you position an artist on the art market? Some enjoy strong institutional recognition (museums, major exhibitions) but remain little-known to the general public. Others sell often and at high prices, yet are poorly regarded within the art world. Without objective data, strategic positioning stays a matter of intuition.
Solution: An analytics tool that automatically collects market data, computes a score on two axes (public notoriety / institutional recognition) and positions artists on a comparative mapping.
←→ PUBLIC NOTORIETY
|
INSTITUTIONAL RECOGNITION
COLLECTION
SCORING
MAPPING
1
DATA COLLECTION // automated multi-channel sourcing
  • 01 Followers and engagement across social networks (Instagram, Facebook, X...)
  • 02 Google search volume on the artist's name
  • 03 Press coverage: specialized art press and mainstream/general press
  • 04 Auction results: volume, average prices, buy-in rates
  • 05 Exhibitions: major venues, weighted by history and institutional influence
Make Airtable API AI
2
SCORING & WEIGHTING // positioning algorithm
  • 06 Normalization of raw data onto comparable scales
  • 07 Criteria weighting per axis (public vs. institutional)
  • 08 Two-dimensional score computed for each artist
Airtable Formulas
3
MAPPING & ANALYSIS // strategic visualization
  • 09 Each artist plotted on a two-dimensional map
  • 10 Artist-to-artist comparison to situate relative positioning
  • 11 Identification of strategic development opportunities
Description
Visualization interface
Data visualization Google Sheets Strategy
OUTCOME: STRATEGIC DECISIONS DRIVEN BY DATA, NOT INTUITION