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Transforming Ad Performance Analytics with Amazon Q

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.

Automated Ad Analytics with Amazon Q
32%KPI Arrow
Increase in ROI with campaign-level optimization
28%KPI Arrow
Boost in Conversion Rate by targeting refinement
45%KPI Arrow
Lower Cost per Click across ad groups
60%KPI Arrow
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

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

Manual & SQL-Heavy Reporting

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

Delayed Insights

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

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.

Solutions

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

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

01

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

02

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

03

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

04

Why choose NeenOpal?

With deep expertise in data architecture, analytics, and AWS services, NeenOpal brought end-to-end implementation from schema optimization to real-time insights tailored to client-specific marketing needs across regions and roles.

Services Used

Amazon Q Business
Amazon Q Business
Amazon QuickSight
Amazon QuickSight
Amazon Redshift
Amazon Redshift

Benefits

With Amazon Q and NeenOpal’s architecture, marketing teams experienced a radical shift from manual reporting to intelligent, instant insights, improving both speed and decision quality.

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.

Authors

Urwah Farooqi

Data Analyst

LinkedIn

Madiha Khan

Content Writer

LinkedIn
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