Automation workflows, marketing systems, web performance and the occasional hard-won lesson. Written by a consultant who builds these systems, not a content farm.
How to combine account-based marketing with an automated prospecting agent, so outreach is grouped by account, sequenced by role, and personalised from one contact to the next without ever sounding templated.
A practical guide to keeping a HubSpot CRM clean with the v3 API and Python, covering batch reads, duplicate detection, safe merges, property normalisation, a data-quality score and a repeatable maintenance job.
How to build a tender-intelligence system that turns clustered search queries into a deduplicated, scored pipeline of live RFPs and RFIs, with Python patterns for querying, parsing, ranking and scheduling.
An architecture for a prospecting agent that sources contacts, personalises outreach with AI, sends through an authenticated channel and never messages the same person twice, with the Python patterns that keep it safe and reproducible.
A practical guide to pulling live data directly from Google Analytics 4 and Search Console with Python, covering authentication, report requests, pagination, joining the two datasets and building a reusable extraction layer.
How to build an email-sending pipeline that reads from a controlled data source, prevents duplicate sends, tracks delivery, and stays governed enough to trust at scale, with Python patterns throughout.
A practical Python guide to capturing leads reliably and tracking their conversions in HubSpot, covering form submissions, the Forms API, contact upserts, custom behavioural events and closed-loop attribution.
How to design a lightweight data warehouse that pulls live data from GA4, Search Console, HubSpot and ad platforms into one schema, so a single dashboard can show contextual, cross-channel performance instead of five disconnected tabs.
A practical walkthrough of marketing attribution, from simple rule-based models to a data-driven Shapley-value approach, with Python implementations you can run against your own conversion paths.
A practical introduction to Marketing Mix Modeling, covering adstock transformations, diminishing-returns saturation curves, a regression implementation in Python, and how to turn the coefficients into a defensible budget-allocation view.
A practical guide to building an SEO keyword intelligence pipeline that clusters queries by intent, scores opportunity against real Search Console performance, and feeds a repeatable content-brief generation process, with Python throughout.
The practical 2026 shifts changing how growth and operations teams build AI, including MCP, governed tools, evaluation, focused applications and human approval.
The thought process and implementation method behind reliable AI systems, from choosing the right job through tools, evaluation, approvals, release and continuous improvement.
A step-by-step architecture guide for connecting Claude to CRM, analytics, databases and internal applications through secure Model Context Protocol tools.
A decision framework for choosing n8n, Zapier or Make based on process complexity, integrations, governance, hosting, operations and how AI and MCP fit the workflow.
A reusable n8n workflow that turns Apollo searches into clean, structured lead lists in Google Sheets - hundreds of qualified contacts from a single trigger.
How to combine n8n and AI into a governed pipeline that produces region-specific ABM content drafts in minutes, with structure validation and human approval built in.
A seven-step n8n workflow that turns one piece of content into platform-tailored social posts, with AI drafting, image generation, scheduling and tracking.
A multi-layered approach to WordPress security, from .htaccess security headers to firewall plugins, structure obfuscation and operational best practice.