Use Case
An Advertising Performance Engine for a Multi-Channel Growth Team
Automate Nockpoint replaced hours of manual, error-prone advertising reporting with a fully automated, cross-platform performance system.
Centralize By blending and normalizing data from multiple ad platforms into a single source of truth, the team reduced daily reporting from hours to minutes, saved 30–60 analyst hours per month, and enabled faster pacing, optimization, and decision-making across operations and leadership.
Problem
Challenge
- 2+ hours of manual reporting every weekday
- Performance data spread across 5+ ad platforms and accounts
- High risk of errors from scripts, exports, and Excel merges
- Analysts stuck collecting data instead of analyzing performance
Solution
- Automated ingestion of all advertising platforms and accounts
- Normalized spend, conversions, currencies, and time grains
- Built a single canonical ad performance dataset
- Delivered live dashboards for operations and leadership
Automated ingestion from every ad platform. All advertising accounts and platforms stay continuously synced without scripts, exports, or manual maintenance.
Decision-ready KPIs built on a single source of truth. Spend, conversions, and efficiency metrics calculated once and reused consistently across teams.
Performance trends aligned across spend and outcomes. Unified time-series view makes pacing, anomalies, and optimization opportunities immediately visible.
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Components
Created with thoughtful Nockpoint features for the perfect data solutions platform
Custom Dashboards
Dashboards tailored to specific teams, workflows, or decisions rather than generic, one-size-fits-all reporting.
Data Blending
Transforms raw source data into clean, reusable datasets optimized for analysis, reporting, and consistency.
Reporting Views
Standardized views designed for recurring operational and executive reporting with consistent structure and metrics.
Self-Serve Analytics
Enables non-technical users to explore, filter, and answer questions from data without relying on analysts or custom queries.
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