Marketing and media agencies face unique complexities in marketing measurement:
Agencies can compare current vs. optimized ROAS across all clients in a single portfolio view, identifying which clients have the most room for improvement.

Growth Dynamics, an agency partner, needed to elevate their service for a high-end jeweler — a high-growth retailer with significant brick-and-mortar presence. The standard quarterly reporting cycle was not fast enough for a client that needed to react to market trends week by week.
The client required agile insights across both digital and physical channels to make confident, data-driven budget decisions without waiting for lagging reports from traditional agency models.
Using Simba, Growth Dynamics brought advanced MMM capabilities in-house. They now deliver weekly, transparent model updates to their client, enabling agile budget shifts across digital and physical channels without waiting for quarterly reports.
Simba’s automated Bayesian pipeline unified data ingestion, modeling, and predictive forecasting in a single interface. The built-in validation and diagnostics ensured every weekly update was robust, reliable, and explainable — giving the client confidence to act on insights immediately.
“SIMBA has been an excellent solution for our team, offering the flexibility to utilise sophisticated models without the burden of internal maintenance. Its ability to quickly ingest our data into a highly customisable framework has significantly reduced our technical overhead and saved valuable time. The built-in safeguards and robust support have made SIMBA a reliable, efficient tool, perfectly suited for analytics teams focused on actionable outcomes rather than infrastructure management. We consider SIMBA a strong, dependable partner in our analytics workflow.”
— Charlie de Thibault, Head of Analytics at Growth Dynamics
Simba supports agencies with multi-project environments where each client has isolated data storage. Cross-client optimizations and portfolio modeling let you compare and optimize across brands.
Every client model uses the same rigorous Bayesian framework, ensuring methodological consistency. But each model is independently configured with client-specific priors, channels, and data — so results reflect each client’s unique marketing dynamics.
For agencies managing multiple brands or multi-market clients, portfolio models provide cross-brand insights:
With Simba’s automated pipeline, agencies can deliver weekly model refreshes to clients — as Growth Dynamics demonstrated. The Data Validator ensures each data refresh is clean, and the model fitting process takes minutes, not days.
When clients ask “how does this work?”, you can show them. Every prior is visible, every saturation curve is interpretable, and supported results include uncertainty intervals, with the interval definition and availability stated for each output. This transparency differentiates your agency from competitors using black-box tools.
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| *See also: Brand Marketers | Portfolio Modeling | Retail & E-Commerce* |