Delivering ML-driven campaigns with RudderStack and Amazon Redshift
summary
StatPearls centralizes event and third‑party data with RudderStack Profiles into Redshift, resolves identities across Stripe/Intercom/SendGrid, appends ML churn score attributes to the customer 360 table, and exports cohorts back to SendGrid and Intercom to run targeted campaigns. That clarifies LTV and renewal rates, converts attribution into a math problem, and supports a confident 4x Google Ads budget increase while avoiding thousands of brittle SQL queries.
AI-written summary · about
chapters (5)
- 0:00Intro
- 0:50What is STA Pearls
- 3:12Getting clean firstparty data into Redshift
- 4:33Identity resolution
- 8:54First business problem
related talks
26mSimplifying Data Analytics Using RudderStack Open Source Data Pipelines
52mPreparing data for reporting, ML, and AI on AWS
53mReal-Time Big Data Analytics with R
24mJeremy Stanley, EVP/Data Scientist, Sailthru
26mPersonalisation at scale with AI/ML and Amazon Personalize
28mAutomating SEA Retargeting for Smarter Audience Engagement and Higher Conversions
50mMasterclass: Building a data stack in 2021
19mA History of Automatic Aggregations