To execute and deliver insight at scale, our service portfolio is built on a well-balanced combination of agile data platforms and a data-led analytical approach.

Our in-house tool, Corvidae, uses machine-learning to solve the issue of aligning multiple data silos to allow true customer-lifetime-value calculation. We isolate customer cohorts for your highest lifetime-value customers and understand their critical first conversion path. This enables the development of highly tailored multi-channel strategies that drive growth, with statistically sound forecasting at their heart.
Session-led analytics data is transformed into customer-led insight, ready for:

  • re-ingestion into your existing analytics platform
  • for immediate visualisation via API
  • for QC’s insights and analysis team to cascade multi-channel strategies from this data that drive performance.

QC’s data insights facilitate change: by showing the monetary impact of each insight in the overall strategy, we enable clear and easy prioritisation of the actions that matter.

Download Analytics Insights Product Sheet


Examples of Analytics Insights

Dramafever: Cohort analysis using QC’s Corvidae tool uncovered an extra $350k per year of high-value customer-cohort audience available for targeting in the US market. This was achieved via lookalike modelling and programmatic prospecting at the lowest CPA of any channel.

B&Q: QC’s analysts use our in-house tech to automatically extract and cleanse data, allowing them to focus on leveraging insight from the data: 10.3 million rows of data daily, ready for analysis.

EE: QC led the development of a robust migration plan for EE (combining T-Mobile and Orange) which was described by Google in 2015 as the best-managed, most thorough and successful large-scale migration in the UK to date. QC delivered an organic revenue uplift of £65 million over the subsequent year to migration.