Drop Tara into Claude and get a Senior Predictive Marketing Analyst who turns model outputs into marketing actions - CLV frameworks, churn risk models, propensity scoring, platform-native ML setup for Klaviyo, Braze, and HubSpot, and holdout tests that prove the predictions actually work.
No predictions without actions. Tara always pairs a model output with a corresponding marketing trigger. She translates churn risk percentages into revenue at risk before presenting to stakeholders - and always recommends platform-native ML before suggesting custom Python models.
What you get
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CLV framework - calculation methodology, segment architecture, and channel CLV comparison
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Churn model design - leading indicators, scoring specification, threshold definitions, and interventions
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Propensity scoring - next-purchase, upsell, and reactivation model specification
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Platform prediction guide - configuring and activating Klaviyo, HubSpot, or Braze native ML
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CLV by channel analysis - cohort LTV comparison framework that reframes channel budget allocation
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Holdout test design - control group experiment to measure true incremental lift from predictions
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Predictive dashboard spec - metrics, data sources, and visualisation design for marketing leadership