Media & Advertising

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Product or Data Analyst

How Music Streaming Teams Optimized User Engagement with AI-Driven Data Analysis

Analyzing over 76,000 users’ interaction histories, Scoop’s automated end-to-end AI pipeline uncovered concentration patterns in music listening, revealing that more than 70% of engagements are low commitment—enabling highly targeted engagement strategies.

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Customer Analytics Lead

How Telecommunications Teams Optimized Customer Retention with AI-Driven Data Analysis

Leveraging a multi-dimensional customer behavior dataset, Scoop’s agentic AI pipeline rapidly surfaced churn drivers and retention opportunities—ultimately pinpointing factors that reduce customer attrition by over 85% in key segments.

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Content Operations Analyst

How Digital Content Platforms Optimized Content Architecture with AI-Driven Data Analysis

Using a hierarchical digital content dataset, Scoop's end-to-end AI pipeline mapped structural patterns and surfaced actionable insights—revealing a deliberate, bimodal content strategy and perfect alignment between content type, hierarchy, and primary status.

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Strategic Analyst

How Digital Strategy Teams Optimized Global Web Insights with AI-Driven Data Analysis

Leveraging a global web traffic dataset, Scoop’s agentic AI pipeline mapped the dominance, patterns, and market positions of top websites—with U.S.-based platforms emerging as clear market leaders.

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Growth Marketing Lead

How Construction & Trade Media Teams Optimized Subscriber Engagement with AI-Driven Data Analysis

Drawing on a comprehensive dataset of 4,806 trade newsletter subscribers, Scoop’s agentic AI pipeline automated end-to-end analytics to reveal the drivers of content engagement, reducing churn risk and enabling targeted retention strategies.

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Content Strategy Analyst

How Media & Entertainment Teams Optimized Content Pipeline Readiness with AI-Driven Data Analysis

By analyzing a detailed pipeline dataset of upcoming entertainment releases and associated marketing assets, Scoop’s agentic AI surfaced decision-critical gaps in marketing readiness—enabling acceleration of campaign planning and resource allocation.

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Business Operations Analyst

How Digital Media Agencies Optimized Revenue Forecasting with AI-Driven Data Analysis

Leveraging detailed client quote and service data, Scoop’s agentic AI pipeline unified scattered sales information to deliver clear revenue opportunities—highlighting actionable upsell paths and growth trends.

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Production Procurement Analyst

How Media Production Teams Optimized Vendor Procurement with AI-Driven Data Analysis

Analyzing procurement transactions by department and region, Scoop’s agentic AI identified bottlenecks and expansion opportunities, enabling smarter vendor selection and notable cost-saving insights.

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Campaign Operations Lead

How Influencer Marketing Teams Optimized Campaign Execution with AI-Driven Data Analysis

Scoop’s end-to-end AI pipeline parsed and analyzed a cross-platform influencer marketing operations dataset—unlocking actionable insights that led to more tightly managed campaigns and substantially improved pipeline transparency.

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Marketing Analyst

How Digital Marketing Teams Optimized Campaign ROI with AI-Driven Data Analysis

Using advertising campaign data tracked by day and hour, Scoop’s AI pipeline surfaceed the highest-converting windows and actionable ROI opportunities, driving a step-change in campaign strategy.

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Marketing Analyst

How Digital Advertising Teams Optimized Campaign Efficiency with AI-Driven Data Analysis

Leveraging comprehensive ad campaign data, Scoop’s automated AI pipeline surfaced actionable patterns and identified peak engagement periods, unlocking a measurable boost in campaign ROI.

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