Bayesian Marketing Mix Modeling (MMM) for brands
A Bayesian MMM engine built on Google Meridian eliminates the last-click fallacy. Decompose the impact of TV GRP, Google, Meta, OOH and in-store with posterior credible intervals (80%/95%). A sector-specific, independent and line-by-line auditable model for the post-cookie attribution era.
Command Board: see your budget, channels and context variables on a single screen.
FMCG's special-occasion demand and automotive's TV GRP can't be solved by the same model. Start with sector-specific assumptions for three industries.
Automotive
Challenge
TV GRP + Google + OOH mix; dealership traffic and national campaign impact cannot be told apart.
MMMytics
With a province-level (geo) model and TV GRP panel integration, break down each channel's contribution to sales at the province level.
FMCG
Challenge
A disconnect between panel data and sales; special occasions, the school calendar and seasonality masking channel impact.
MMMytics
With weekly panel data, macroeconomic variables and season-aware assumptions, see clearly how much of your sales swing comes from media versus external factors.
Retail
Challenge
Campaign, promo and store-digital are intertwined; your ROAS may be overstating incremental sales.
MMMytics
Separate the baseline sales you'd get even without promotions from the real lift your campaigns create — and see each channel's net contribution to sales.
The CMO defends the budget, the CFO wants the return, the Analytics Lead looks under the hood. Same run, three different views.
Every step of the model is visible and every result is independently auditable. No black box.
Data Ingestion
CSV/XLSX + macro variables
Adstock Priors
Sector-specific Bayesian priors
Saturation Curves
Hill / Logistic transform
MCMC Sampling
4 chains, R-hat convergence
Posterior Decomp.
Channel ROI + credible interval
Budget Optimizer
Marginal ROI + constraints
Data Ingestion
CSV/XLSX + macro variables
Adstock Priors
Sector-specific Bayesian priors
Saturation Curves
Hill / Logistic transform
MCMC Sampling
4 chains, R-hat convergence
Posterior Decomp.
Channel ROI + credible interval
Budget Optimizer
Marginal ROI + constraints
Scientific source: Jin et al. 2017 — Bayesian Methods for Media Mix Modeling (Google Research)
From Excel to the boardroom, every step of the Marketing Mix Modeling (MMM) workflow lives on one platform — no tool-switching, no copy-paste.
Upload XLSX and CSV; automatic PII detection and the KVKK record run in the background.
Define sector templates, channel taxonomy, and adstock/saturation prior settings on a single screen.
Built on Google Meridian, it isolates channel contribution through MCMC sampling, R-hat convergence, and posterior decomposition.
A/B/C/D scoring, ROI with credible intervals, and saturation curves; in the hybrid report, measure each channel's ROI with its saturation curve and break-even point.
Reallocate the marketing budget by channel across Conservative, Balanced, and Aggressive scenarios.
Generates the CEO Brief PDF (6-page hybrid report), channel detail and budget summary. Multi-brand portfolios and brand-level thresholds are supported.
Sample screen views — not real customer data.
Data Hub: upload your XLSX and CSV files; automatic PII detection and the KVKK record run in the background.
Model Studio: pick your sector, confirm the channel taxonomy, set your KPI target; your model is ready in minutes.
MMMytics Engine: Bayesian MCMC sampling on a cloud GPU produces posterior results.
Channel Intelligence: each channel's ROI, saturation curve and credible interval side by side; in the hybrid report, compare channel ROIs with the saturation curve and a saturation warning.
Budget Optimiser: run Conservative, Balanced, and Aggressive scenarios and see the optimum allocation in one click.
Command Board: your budget, channel performance, and context variables on one live screen — boardroom ready.
Report Generator: the CEO Brief PDF (6-page hybrid) is generated automatically; multi-brand portfolios and brand-level thresholds are supported, with insights written in your brand's voice.
See every station on your own data.
Request a DemoAll data is hosted in the EU region, processed under KVKK, and every access is logged. The identity architecture is independently auditable and the model core is open source.
Share your sector and media budget range. You get a response within 1 business day, and the demo session is built on your own data.
Upload your spend and sales data to Data Hub. The sector template, channel taxonomy and starting assumptions are set in a single session. If you manage multiple brands, you can customize brand-level KPI thresholds (CEO/CMO access).
The model completes in the background in 10 to 30 minutes (4 parallel MCMC chains). Results are archived and stable convergence is checked automatically.
Channel ROI, budget optimisation and the CEO Brief are in front of you. Take the budget to the board with evidence-based numbers.
Plan a live MMM demo session with your sector data. You get a response within 1 business day — not an abstract pitch, but a real model running on your numbers.