Software

Open-core Python packages for advertising measurement and programmatic bidding.

Each package is designed for both analysts and AI coding agents (Claude Code, Cursor, Codex, Antigravity): deterministic CLI interfaces with --json output, offline synthetic datasets for testing without credentials, and installable domain skills on skills.sh.

SpotLift

Linear TV & Omnichannel Attribution

Measures the immediate web and sales response of linear TV airings against minute-level Google Analytics 4 (GA4) traffic and Amazon Marketing Cloud (AMC) conversions.

  • Open-Core (spotlift, MIT): Diurnal baseline estimation, single-spot lift integration, weighted collision attribution, and cost-per-incremental-visit (CPIV).
  • Pro (spotlift-pro, Commercial): Shifted-Gamma EM deconvolution for overlapping spots, creative wear-out modeling, 1–36h lag halos, and automated Excel/HTML reporting.
pip install spotlift
npx skills add flovv/spotlift --skill tv-to-web-measurement
Documentation GitHub PyPI Agent Skill (skills.sh) Pro License

DV360 BidKit

Custom Bidding DSL Linter, Simulator & Compiler

Validates, simulates, and compiles custom bidding scripts for Google Display & Video 360 (DV360) locally before platform deployment.

  • Open-Core (dv360-bidkit, MIT): AST validator for the Google 2026 DSL specification, safe local simulator (no eval()), Google S2 readiness checks, and rule compilation.
  • Pro (dv360-bidkit-pro, Commercial): Empirical Bayes Active View shrinkage for low-volume publishers, multi-objective funnel mass-balancing, ternary outlier capping, and campaign bundle export.
pip install dv360-bidkit
npx skills add flovv/dv360-bidkit --skill dv360-custom-bidding
Documentation GitHub PyPI Agent Skill (skills.sh) Pro License

Commercial Licensing & Support

Open-core packages are free under the MIT License on PyPI. Commercial Pro extensions are distributed via Polar.sh as pre-compiled native binary wheels (Linux, macOS, Windows) with instant license key delivery and a 14-day refund policy. For support or licensing inquiries: teschner@gmail.com.