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Decibels AI
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Next-Gen Marketing Mix Modelling Engine

Engineered for High-Velocity Growth

Move beyond static quarterly slides and brittle click attribution. Decibels AI unites automated pipeline engineering, open-source Bayesian econometrics, and intuitive planning tools so agencies can prove real incremental ROI every week.

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monitoring Pillar 01 • Continuous Feedback

Weekly Incrementality Measurements

Campaigns move too fast for quarterly readouts. Decibels AI refreshes incremental channel conversions, saturation points, and marginal ROAS (mROAS) every Monday.

Decibels AI • MMM Dashboard
Spend $84.5k
Incremental ROAS 3.82x
Marginal ROAS 2.64x
show_chart Actual vs. Predicted Revenue
Predicted Actual
Meta Ads • Advantage+ Shopping mROAS 3.20x`
Google Ads • PMax & YouTube mROAS 2.75x
cable
325+ Data Connectors
Continuous Ingestion
campaign Ad Platforms
Google Ads
Meta Ads
TikTok Ads
Amazon Ads
LinkedIn Ads
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memory
Decibels AI
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database Data Repositories
Google BigQuery
Google BigQuery
Snowflake
auto_awesome Pillar 02 • Data Operations

Automated Data Ingestion

Reduce data wrangling effort by 80%

Data cleaning is the single biggest bottleneck that kills agency margins on MMM projects. Decibels AI provides direct access to 325+ data connectors—syncing effortlessly with Google Ads, Meta Ads, TikTok, Amazon, and LinkedIn alongside enterprise warehouses like Google BigQuery and Snowflake with zero manual CSV wrangling.

tune Pillar 03 • Strategic Decision-Making

What-If Media Planner

Transform abstract statistical curves into boardroom-ready budget recommendations. Simulate alternative spend scenarios in real time to show clients exactly what happens if they push budget into Meta, pull back on Search, or test Streaming Video.

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Scenario Planner Q4 Budget Reallocation
+$142,000 Net Lift
Meta Ads +$25,000 ($105k total)
High marginal return 3.40x mROAS
Google Search & PMax -$15,000 ($70k total)
Avoid diminishing returns Trim at saturation
YouTube & Streaming +$10,000 ($45k total)
Untapped reach 2.80x mROAS
auto_graph Flat Budget ($250k)
Blended ROAS: 4.17x (+0.57x)
hub Causal DAG (Directed Acyclic Graph)
P(Y | do(X))
Seasonality Promotions Ad Spend (X) Pageviews Sales (Y) Pure Incrementality Organic Traffic
support_agent Pillar 04 • Human Expertise

Dedicated Data Scientist

You do not need to recruit a $200k+ statistician to offer premier econometric modeling. Decibels AI pairs your agency with expert data scientists who oversee scientific integrity and empower your team.

model_training Pillar 05 • Continuous Model Evolution

Quarterly Model Refreshes

Consumer habits evolve, ad creative fatigues, and macroeconomic conditions change. While weekly inference tracks operational pacing, comprehensive quarterly model training recalibrates underlying structural transformations, adstock half-lives, and seasonality harmonics.

model_training

Bayesian Pipeline • Full Quarterly Retrain

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1. Data Preprocessing & Alignment
156 weekly data points validated across 8 channels
Complete
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2. Bayesian Prior & Adstock Formulation
Geometric/Weibull carryover + Hill saturation functions
Complete
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3. MCMC Sampling & Convergence
4 Chains • 2,000 Draws • 0 Divergences (R-hat 1.01)
Complete
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4. Production Deployment to Workspaces
New response curves published to live client dashboards
Live
update Next automated refresh schedule Q4 Scheduled • October 1
Scale Your Agency's Measurement Capabilities

Ready to deliver real incrementality measurement without the overhead?

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