papers/verus-analytics/sections/06-case-studies.tex

\section{Case Studies}


\subsection{Flash Sale Monitoring}

A fashion retailer used Verus to monitor a flash sale event:

\begin{itemize}
\item Real-time dashboard showed orders/minute, inventory levels, and error rates.
\item Anomaly detection alerted when payment failures spiked 3$\times$ normal.
\item Root cause analysis (ad-hoc query) identified a specific payment provider issue.
\item Response time from detection to mitigation: 4 minutes.
\end{itemize}

Without real-time analytics, the issue would have persisted for hours until batch reports surfaced it.

\subsection{Marketing Attribution}

An electronics retailer analyzed marketing effectiveness:

\begin{itemize}
\item Cohort analysis compared customers acquired through different channels.
\item Lifetime value calculation showed paid search customers had 2.3$\times$ higher LTV than social.
\item Budget reallocation based on insights increased ROAS by 45\%.
\end{itemize}