Why B2B SaaS Channel Rankings Reverse as Cohorts Mature
Diagnose misleading B2B SaaS channel rankings by comparing acquisition cohorts at equal ages, exposing unresolved outcomes, and separating provisional from mature economics.
9 min readTroubleshooting articles from Matt Pru: practical startup decisions, useful examples, and resources to put the ideas into work.
Diagnose misleading B2B SaaS channel rankings by comparing acquisition cohorts at equal ages, exposing unresolved outcomes, and separating provisional from mature economics.
9 min readContain, reconcile, investigate, and safely recover when a revenue AI agent sends the wrong message, changes a live system, or leaves execution state uncertain.
11 min readDiagnose AI lead scoring by separating fit, engagement, intent, and readiness; preserving score evidence and versions; and testing priority against mature CRM outcomes.
10 min readDiagnose why an impressive AI product demo stalls, then turn curiosity into a buyer-owned evaluation question, evidence plan, and commercial decision.
9 min readDiagnose why commercially relevant SaaS searches create poor opportunities by separating query relevance from workflow, account, economics, authority, and implementation fit.
11 min readFind why SaaS trials fail to become customers. Separate setup, first value, repeat use, buying decisions, and billing with a worked account-cohort diagnostic.
9 min readDiagnose whether startup growth is constrained by demand, conversion, sales, activation, or retention before changing campaigns and budgets.
2 min readSeparate customer conversion lag from reporting delay and compare mature cohorts before judging recent Google Ads acquisition performance.
2 min readDiagnose poor Google Ads lead outcomes by checking measurement, search intent, the offer, qualification, follow-up, and sales progression.
3 min readTrace duplicate conversion counts through event triggers, identifiers, imports, and reporting definitions before making acquisition decisions from inflated totals.
2 min readInvestigate declining AI workflow quality by checking input changes, source freshness, model configuration, tool behavior, and review standards.
2 min readSeparate customer fit, activation, product value, delivery, and commercial changes when investigating startup churn.
3 min readInvestigate missing AI citations by separating crawler access, discovery, relevance, original evidence, and the limits of prompt-based observation.
2 min readInvestigate missing search indexation by checking access, canonical signals, discovery, page purpose, duplication, and the evidence in Search Console.
2 min readReview lost deals by separating buyer statements, observed behavior, product fit, commercial friction, and changes worth testing.
2 min read