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.
Conversational Intelligence Layer
Amazon Q integrated with Redshift & QuickSight for natural language queries.
Context-Aware Role Access
Role-based security ensured tailored insights for campaign managers, analysts, and leadership.
Automated Workflows
Slack/Outlook integration with automated alerts, CSV uploads, and task creation for smooth collaboration.
Unified Marketing Data Hub
Centralized spend, budget, and performance insights in real time without manual SQL/report building.
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.
Authors
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