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Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
Salsa Scoring
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Salsa Scoring

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Quickly target your most engaged members by using Scoring to gather data on your supporters' activity -- the donations they've made, the events they've participated in, the e-actions they've taken -- …

Quickly target your most engaged members by using Scoring to gather data on your supporters' activity -- the donations they've made, the events they've participated in, the e-actions they've taken -- into a single metric.

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Transcript

  • 1. Salsa Scoring
    Jason Zanon
    jzanon@salsalabs.com
  • 2. e=mc2
  • 3. exponential decay
    algorithm
    threshold
    supporter_scoring_algorithm
    data object
    MULTIPLIERS
    Half-life
  • 4. Scoring
    Purpose of scoring
    How to use scores
    Why to use scores
    Setting up Scoring
    Questions?
  • 5. “Who are my Super Activists?”
    12 Write-Your Rep Actions
    3 major conferences
    … and two years’ worth of online donations
    ?
  • 6. Measure your supporters’ overall engagement with one single metric that captures all their many activities
    (Optionally weighting the activities by the type of activity and its recency)
  • 7. Scoring
    Purpose of scoring
    How to use scores
    Why to use scores
    Setting up Scoring
    Questions?
  • 8. How to Use Scores: Queries
  • 9. Scoring
    Purpose of scoring
    How to use scores
    Why to use scores
    Scoring parameters
    Questions?
  • 10. List Segmentation: TargetingHigh Action 27.4% open 6.7% clickLow Action12.5% open 3.8% click
    From http://www.slideshare.net/salsalabs/1sky-scoring-with-salsa
  • 11. List Segmentation: Recruitment
    High Actionsticker
    High Action
    no sticker
    Low Action
    sticker
    Low Action
    no sticker
    From http://www.slideshare.net/salsalabs/1sky-scoring-with-salsa
  • 12. List Segmentation: Recruitment
    High Action sticker: 36 new names .65% conv.High Action no sticker: 30 new names .54% conv. 20% difference between high action groupsLow Action sticker: 71 new names .13% conv.Low Action no sticker: 19 new names .03% conv.
    273% difference between low action groups
    From http://www.slideshare.net/salsalabs/1sky-scoring-with-salsa
  • 13. Scoring
    Purpose of scoring
    How to use scores
    Why to use scores
    Setting up Scoring
    Questions?
  • 14. Adding the Scoring Package
    Request the package at
    support@salsalabs.com
  • 15. Setting Up Scoring
  • 16. Building a Scoring Algorithm
  • 17. Building a Scoring Algorithm
    You must add at least one Scoring Entry for an algorithm to generate any scores at all!
  • 18. Building a Scoring Algorithm
    Documentation at
    http://salsacommons.org/o/8001/p/salsa/web/wiki/public/?reference=Scoring
  • 19. Select a Data Object
  • Building a Scoring Algorithm Entry
    I. Multiplier
    II. Expiration + Minimum
    III. Half-Life
  • 25. Scoring Algorithm Entry: Multiplier
  • 26. Building a Scoring Algorithm Entry
    I. Multiplier
    II. Expiration + Minimum
    III. Half-Life
  • 27. Scoring Algorithm Entry: Expiration
    Actions expire 180 days after being taken
  • 28. Scoring Algorithm Entry: Minimum
    Actions expire 180 days after being taken with a minimum of 0.5
  • 29. Building a Scoring Algorithm Entry
    I. Multiplier
    II. Expiration + Minimum
    III. Half-Life
  • 30. Scoring Algorithm Entry: Half-Life
    Actions have a 180-day half-life
  • 31. Scoring Algorithm Entry: Half-Life with Minimum
    Actions have a 180-day half-life with a minimum of 0.5
  • 32. Scoring Algorithm Entry: Half-Life with Minimum and Expiration
    Actions have 180-day half-life with an expiration of 365 days and minimum of 0.1
  • 33. Building a Scoring Algorithm
  • 34. Building a Scoring Algorithm
  • 35. Scoring Algorithm Entry Variables
  • 36. Combining Scoring Algorithm Entries into an Algorithm
  • 37. Scoring
    Purpose of scoring
    How to use scores
    Why to use scores
    Setting up Scoring
    Questions?

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