Automated Ad 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.

AI-Powered Advertising Analytics Architecture

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.

End-to-End AWS Analytics Tailored to Your Marketing Needs

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Services

Amazon Q Business

Amazon QuickSight

Amazon Redshift

Benefits

60% Faster Insights

Natural language queries reduced time-to-insight drastically, helping users to make on-the-fly decisions.

Zero-Code Analytics

Non-technical users accessed deep performance insights using simple questions, no SQL required.

Improved Productivity

Automated alerts, daily digests, and visual reports saved teams hours each week that were earlier spent on report creation.

Secure, Real-Time Access

Role-based access with AWS-native security ensured only authorized users have access to sensitive campaign data globally.

Empowered Decision-Making

Campaign managers and leadership could track KPIs, compare platforms, and optimize ad spend mid-campaign with data.

Conclusion

With Amazon Q, campaign teams across functions and geographies now make informed decisions faster. NeenOpal’s implementation ensured high security, real-time access, and end-user empowerment without writing a single line of code.

FAQ

Find answers to common questions about using Amazon Q to elevate ad performance analytics.

What challenges was the advertising team facing?

The team struggled with fragmented cross-platform campaign data and slow, manual SQL-based reporting that delayed insights.

What solution did NeenOpal implement?

NeenOpal built a scalable no-code analytics solution using Amazon Q, integrated with Redshift and QuickSight, to provide instant, natural-language insights and automated reporting.

What benefits did the solution deliver?

Marketing teams gained faster performance insights, improved decision-making, and increased ROI and conversion metrics through real-time analytics without manual queries.