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@georgel
Last active August 29, 2015 14:08
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#Search Framework (Product)

DASHBOARDS

  • User segment (e.g. new vs return)
  • Mobile (mobile, iOS, android) vs. Desktop
  • Metro vs. Suburb
  • Service category performance deltas
  • Search types breakdown
    • General service (e.g. haircut)
    • Name search

INSIGHTS

  • Keyword Performance: Searches, Clickthrus, Conversion (sliced by metro, distance from user's location, how many days in advance, # of unique pros viewed:unique pros booked, etc)

Rank Optimization: How to balance distance vs. quality?

Existing factors
* performance score (e.g. photos, recommendations, online booking)
* marketplace pro
* payments pros

Factors to address
* more personalized experience (e.g. ethnicity, gender, lifestyle) 
	* tentpole 
* availability?
* new (give new pros an opportunity to build up their quality score)

Potential Rank Optimization Data

  • Availability time range based on mobile vs desktop. Metro vs. suburb.
  • Ranking correlation with booking conversion
  • Conversion based on search types:
    • Name search
    • Service category search
  • Attributes for Pros who get clicks
  • Attributes for Pros who get booking
  • Number of pages users page through for results
  • What’s the optimal result set for conversion
    • Number of results
    • Number of results with Online Booking
    • Photos
    • Price range

#Search Framework (Supply)

  • Do we have the right provider coverage per metro?
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