Group Account Director

Reposted 15 Days Ago
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New York, NY, USA
In-Office
Senior level
Information Technology
The Role
The Group Account Director oversees account management, develops strategic plans, and ensures client satisfaction while leading a team.
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The Company
HQ: New York, NY
27 Employees
Year Founded: 2019

What We Do

Consulting: Building a Framework for Customer Data Enablement Actable provides structured consulting engagements designed to right size the opportunity for customer data activation, develop a customized framework for activation, and chart a clear course for strategic, disciplined advancement. Key areas of focus include assessments of: - Business demands and use-case for customer data deployment - Current-state readiness of data assets, technology, organization and team, software deployment planning and adoption - Data science advancement and execution planning - Customer Identity resolution planning - Investment requirements and payback - MarTech vendor assessments, especially CDP & ESP. Delivery: Delivering and Executing Customer Data Strategies Our delivery practice takes ideas out of the theoretical realm and into reality. We bring an interdisciplinary ‘tiger team’ to your organization, ready to execute strategies our team develops or that accelerate previously-existing initiatives. Services include but aren’t limited to: - Marketing deployments utilizing advanced activation software (e.g. CDP, journey/personalization tools, etc.) - Ongoing customer identity resolution management - CDP implementation - ESP Migration - Upstream data readiness, sourcing, development, and engineering - Custom audiences and customer segmentation - Custom reporting and analytics solutions - Advanced integrations and solutions architecture Data Science as a Service: Enhancing Customer Data with Actable Data Sciences Take your consumer data to the next level with predictive modeling and enrichments. Our Data Science team creates custom machine-learning models around your business goals and deploy them into your data environments and marketing systems. Custom predictive models include but aren’t limited to: - Propensity - Churn - Channel Optimization - Next-Best Action - Product Recommendations - Predicted Value

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