Inside the QuantumExplore platform: from public ad data to decision-ready intelligence

QuantumExplore is building an AI-powered competitive-intelligence platform for jewelry and e-commerce brands. It turns public advertising data into structured, evidence-backed market intelligence, so small and mid-sized brands without an in-house data team can see what competitors are doing.

How the platform works

1. Automated collection. An automated pipeline collects public Meta Ad Library data (ads, creatives, delivery dates, EU reach, audience and geographic breakdowns) for tracked brands.

2. Data processing. Data moves through a layered architecture on Azure Databricks (raw, standardized, analytics-ready) with incremental loading and validation steps.

3. AI-powered semantic analysis. An LLM-based step reads ad copy and tags each ad with a structured taxonomy: messaging angle, promotion mechanic, emotion, product category, target audience, price strategy, occasion and tone. Results are weighted by reach.

4. Decision-ready output. Benchmarks, funnel balance, campaign dynamics, geographic reach and seasonal gaps, delivered today as decision-ready reports.

Market Pulse view of the QuantumExplore portal (early version, in development): key metrics for the Portuguese jewelry market from Meta Ad Library data.

Ad-launch intensity over 12 months and weekly ad launches across the Portuguese jewelry market (early portal version).

Where we are today

• The automated pipeline is operating and has produced a Portuguese jewelry market analysis covering 53 companies and 16 months of data.

• A first report has been delivered to a design partner, and we are collecting structured feedback from additional brands.

• A client portal and subscription (SaaS) access are in development.

Creative library with tracked ads (early portal version, demo workspace).

Planned next

Extending the analysis from ad text to visual creative, adding collection-launch detection, and expanding from Portugal to Spain, France and Italy.