Marketing

How We Turned Aggregated CreatorIQ Data Into a Daily Reporting Engine — Without a Single Spreadsheet.

The Gig Agency

Problem

The Gig Agency was making purchasing and sales decisions based on data that was always 24–48 hours behind. CreatorIQ delivered aggregated statistics only — no day-over-day comparison, no separation of traffic from sales, no granularity required by performance marketing budgets.

The result: analysts spent two full working days every week manually parsing exports, stitching spreadsheets, and preparing reports that were already outdated by the time they reached management. Every decision on influencer campaign budget allocation was based on gut feeling, not facts.

Solution

DataMinq implemented a three-phase DataOps architecture that transformed a static CreatorIQ export into a live daily analytics engine feeding LookerStudio with zero human involvement.

1. API Architecture Audit and Loss Identification A full analysis of CreatorIQ's data structure revealed the exact points where aggregation destroyed daily granularity. We mapped the entire data flow and identified every touchpoint generating manual work — from export format to schema incompatibility with LookerStudio.

2. Modeling and Centralization (Single Source of Truth) We designed a normalized PostgreSQL database with dedicated tables for daily traffic, sales, time segments, and user cohorts. Custom ETL scripts automatically pull data from the CreatorIQ API, disaggregate aggregates into daily segments, and load data into the hub in a LookerStudio-ready format — with full logging and connection failure alerts.

3. Standards Implementation, Control Panel and Automation We built a management panel for non-technical users — with real-time pipeline status monitoring, manual sync triggering, and an error notification system. The delivery was completed with team training on panel operation and custom report creation in LookerStudio.

Results

The Gig Agency reclaimed two working days per week that were permanently locked in manual reporting. For the first time, management gained access to real-time day-over-day comparisons — no exports, no spreadsheets, no calls to the analyst. Influencer campaign budget allocation decisions are now based on data accurate to the minute.

Social Proof

Related Testimonials

Client feedback directly related to this case study.

”

I had the pleasure of working closely with Grzegorz on several backend software solutions for various clients.

Greg’s ability to design, develop, implement, and improve complex software was integral to these projects’ success. I knew that if Greg was tasked with something, it would always be completed properly and on time- regardless of complexity.

He consistently delivered high-quality code, could quickly troubleshoot and resolve issues, and kept teams well-organized and on-track.

In short, Grzegorz is a highly reliable and capable developer, and any team will be better with him on it!

Mathew Arrington

Marketing Operations • The Gig Agency

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