Always-on marketing mix models that prove real ROI and help clients scale media spends with confidence.
Improve Client ROI & Unlock Scalable Spend
Justify Your Media Strategy Scientifically
Built for High-Margin Agency Unit Economics
BUILT UPON OPEN-SOURCE STANDARDS & MODERN DATA STACKS
Python
SciPy
xarray
Arviz
PyMC
Google Meridian
BigQuery
Platform attribution takes credit for every sale that occurred after an ad exposure, regardless of whether it actually caused the sale. Marketing Mix Modelling (MMM) is the standard for determining the true causal impact of marketing on sales.
Most MMM platforms consume agency margins with endless data wrangling and high platform pricing.
Decibels AI protects agency margins by automating data engineering and streamlining agency workflows.
Never defend proprietary black-box algorithms to skeptical CFOs. We build on battle-tested Bayesian open-source libraries (like PyMC Marketing and Google Meridian), offering reproducible methodology & model transparency.
Our predictable multi-client pricing tiers allow you to package high-margin MMM retainers for brands spending $50k to $10M+ per month, turning measurement from an expense into a recurring agency profit center.
Monthly and quarterly MMMs arrive too late to protect campaign ROAS. Decibels AI automates continuous data ingestion and runs weekly inference. Your media buyers can make tactical adjustments while campaigns are actively pacing.
No need to hire $200k in-house statisticians before offering MMM. Our data science experts review model convergence, set custom causal graphs, assist in lift-test calibration, and join client presentations whenever you need heavy-hitting scientific backup.
Deliver client dashboards under your agency's domain and visual identity. Custom logos, theme color matching, branded PDF exports, and client-facing scenario simulators reinforce your agency's measurement authority.
Zero reliance on invasive third-party tracking pixels, click-tags, or user-level identifiers. Decibels AI models aggregate time-series signals, making your attribution bulletproof against iOS privacy changes and cookie deprecation.
Decibels AI replaces chaotic spreadsheets and disputed multi-touch attribution models with a continuous measurement engine.
Ingest weekly channel spend, revenue, and external factors (seasonality, economic indicators) through warehouse connectors or automated templates.
Incorporate agency domain experience and recent geo-lift experiment outcomes to train the model with help from our data science team.
Markov Chain Monte Carlo engines run weekly inference, updating channel saturation curves, adstock carryover rates, and marginal ROAS thresholds.
Share interactive scenario dashboards with client stakeholders. Justify your media strategy with scientific, mathematically sound forecasts.
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