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Transforming Ad Performance Analytics with Amazon Q

Overview

A global advertising team sought a more efficient way to access campaign performance data across platforms like Google, Meta, and TikTok. Traditional dashboards required SQL knowledge and manual analysis. With NeenOpal, they adopted Amazon Q an AI assistant that enables natural language queries, automated reporting, and contextual insights, leading to faster and more reliable decision-making.

32%

Increase in ROI with campaign-level optimization

28%

Boost in Conversion Rate by targeting refinement

45%

Lower Cost per Click across ad groups

60%

Faster Reporting Time using Amazon Q

Customer Challenges

Marketing teams across regions lacked a unified, real-time view of their campaign performance. Manual reporting and technical bottlenecks prevented quick decision-making and cross-platform optimization.

Fragmented Campaign Analytics

Campaign data was spread across Google Ads, Meta, and TikTok, making it difficult to track performance holistically or draw comparisons.

Manual & SQL-Heavy Reporting

Analysts were burdened with writing SQL queries and building dashboards, delaying insights and diverting focus from strategic tasks.

Delayed Insights

The time spent on data collection, validation, and reporting meant that performance issues were often caught too late for mid-campaign adjustments.

Role-Specific Needs Not Met

Regional heads, marketing managers, and analysts had different insight needs, but lacked automated, role-specific reports or access to tailored views.

Architecture Diagram

A scalable data framework integrating Amazon Q with AWS analytics services to unify campaign data, enable natural language queries, and deliver real-time performance insights.

Solutions

NeenOpal built a scalable, no-code analytics solution using Amazon Q, delivering instant, secure, and contextual insights for marketing stakeholders.

01.

Conversational Intelligence Layer

Amazon Q integrated with Redshift & QuickSight for natural language queries.

02.

Context-Aware Role Access

Role-based security ensured tailored insights for campaign managers, analysts, and leadership.

03.

Automated Workflows

Slack/Outlook integration with automated alerts, CSV uploads, and task creation for smooth collaboration.

04.

Unified Marketing Data Hub

Centralized spend, budget, and performance insights in real time without manual SQL/report building.

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