~/talk

Through the looking glass – Following the rabbit down the data… Whole

Talkat Pocket Gamer Connects London 2018 · 2018-01-22..01-23· [machine-learning]
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slides:none on file

Claims that full transparency on an RTB platform + analysis of creatives, bids, apps and events cuts wasted spend and raises quality installs. Workflow moves through four phases — creatives, bidding, one-to-one app targeting, event targeting — and uses consumer purchase-intent data tied to device, city and event dates. Tests show one creative with ten times the clicks but one‑tenth the installs (waste), D30 retention examples at ~20% versus >40%, over 24 trillion calculations nightly across 4,000 app targets, resulting in more installs while spending less and then scaling with ML.

AI-written summary · about

  1. 0:00Intro
  2. 0:46Transparent UA
  3. 2:40Transparency Overcomes
  4. 4:09Creative Analysis
  5. 6:20Daily Budgets
  6. 10:24Overview of Three Phases
  7. 11:45Events - Install Date
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