I build open, local-first tools for marketing research, analytics, and decision-making.
Signal Hub is an open-source marketing toolkit with 24 focused apps for brand, market, customer, research, and decision work.
I build open, local-first tools for marketing research, analytics, and decision-making.
Signal Hub is an open-source marketing toolkit with 24 focused apps for brand, market, customer, research, and decision work.
Text Signal — local-first open-text evidence: corpus audit, transparent TF-IDF, perturbation-stable NMF patterns, lexical contrast, and a human codebook hand-off
Python 2
Signal Hub — every Signal marketing-evidence tool behind one link: open-source, local-first Streamlit apps that show their uncertainty.
Python 2
Worth Signal — an open, local-first customer value toolkit for marketers: RFM, CLV, customer equity, retention, BG/NBD and BG/BB
Python 1
Segment Signal — open B2C customer segmentation for marketers. Compare clustering methods, test stability, profile segments, export customer-to-segment maps. Streamlit, local-first.
Python 1
Choice Signal — open conjoint (preference) analysis for marketers. Part-worth utilities, attribute importance, and preference-share simulation from simple ratings data. Streamlit, local-first.
Python 1
Adopt Signal — open new-product adoption forecasting for marketers (Bass diffusion). Published analogies, scenario stress-tests, fitting to real history, honest pre-peak warnings. Streamlit, local-…
Python 1