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SM Blueprint
Step 9 of 10 in this module#159 of 1,000

9. The Iterative Nature of the Campaign

Part 2 • Metrics-Driven Campaign Architecture for Algorithmic Graduation

This is not a one-and-done campaign. Each new release provides an opportunity to refine this architecture. What worked well for your last song? What didn't? How can you improve your ad creative to drive more saves? The process is iterative: launch, measure, learn, optimize, repeat. Each successful algorithmic graduation provides insights that make your next release even more predictable and effective.

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In this module: Metrics-Driven Campaign Architecture for Algorithmic Graduation10 steps
  1. 1The Algorithmic Graduation Ladder
  2. 2Step 1: Paid Media to Acquire Initial Listeners (Triggering Algorithmic RR)
  3. 3Why Paid Media is Essential for Step 1
  4. 4Step 2: The RR Boost Provides Free Streams (Pushing Toward Volume Threshold)
  5. 5The Critical Link: From Paid to Organic
  6. 6Step 3: Graduation to Long-Term Promotion via DW
  7. 7The Power of "Lookalike" Audiences
  8. 8Tracking Your Algorithmic Journey in Spotify for Artists
  9. 9The Iterative Nature of the Campaign
  10. 10Your Actionable Blueprint for Algorithmic Success