Etropo Budget Buddy vs PyMC-Marketing

Etropo Budget Buddy is marketing budgeting software for CMOs and their teams, available on the web and through an API. It helps teams build budgets, examine spending, follow variance, and coordinate work. Users can work with Budget Buddy through conversation to create budget items, plan budgets, analyze spend, and sync actuals. Teams can compare budget versions and choose an active one while sharing actuals, categories, and permissions across versions. Category-level access controls and threaded comments support work on individual budget lines. Listed integrations include advertising platforms, Google Sheets, Slack, Microsoft Teams, CRM tools, and AI assistants. Connected ad-account spending syncs weekly after accounts are mapped to budget lines. Budget Buddy actions are permission-checked and logged, and changes require user confirmation. Plans start at $89 a month for Essential, with five team members, up to 15 line items, and up to three currencies. Pro costs $139 a month. A 14-day trial requires no credit card and includes all integrations.

PyMC-Marketing is an open-source Python library for Bayesian marketing analytics, with tools for marketing mix modeling (MMM) and customer lifetime value. Its MMM API supports custom priors and likelihoods, adstock and saturation transformations, time-varying effects, diagnostics and out-of-sample predictions. Models can be calibrated against empirical experiments such as lift tests, and built-in budget optimization allocates spend across channels to maximize ROI. Bayesian outputs include posterior distributions and credible intervals for predictions. The library also includes customer choice, Bass diffusion and alpha-stage predicted incrementality by experimentation models, alongside predictive CLV, cohort analysis and customer segmentation. It runs on Linux and can be self-hosted. Current documentation requires Python 3.12 or later, PyMC 6.0 or later and ArviZ 1.2 or later; installation is available through pip with `pip install pymc-marketing`, without requiring a conda environment. The library is free under the Apache 2.0 license. PyMC Labs and PyMC core developers maintain it, and learning resources include a guided path, example notebooks and an API reference.