Choose your path
Choose the path that fits your business. You will start with a tailored topic report.
A nine-stage deletion runbook for buyer-intent and identity data, with roles, implementation options, audit tests, and human approval gates.
A nine-step framework for choosing cohorts and counterfactuals, comparing analysis methods, reporting uncertainty, and making defensible intent-program decisions.
A readiness-to-pipeline playbook for Series A teams: signals, tool choices, budget, privacy, scorecards, agency options, and stop-or-expand rules.
A cash-efficient intent-data playbook for bootstrapped B2B teams, including a manual workflow, affordable tool paths, payback, risk, and stop rules.
Use recency, progression, buying-group evidence, decay rules, and cohorts to operate intent data responsibly across a long B2B sales cycle.
Protect a small sales team's capacity with queue limits, signal acceptance rules, routing SLAs, cost controls, governance, and outcome feedback.
Build a governed enterprise intent-data operating model with RACI, provenance, buying groups, activation gates, audit, privacy, and measurement.
Build a repeatable growth-stage intent system with readiness gates, explainable signals, human review, right-sized tools, budgets, safeguards, and pipeline measurement.
Design a right-sized mid-market intent architecture with coverage tests, governed activation, total-cost modeling, privacy controls, and stop-or-scale rules.
Learn when pre-revenue startups should use intent evidence, when they should wait, and how to run a low-risk learning pilot without manufacturing certainty.
Build a lean seed-stage intent workflow around real buyer evidence, a narrow account list, human qualification, milestone budgets, and measurable handoffs.
Compare signal sources with one denominator, fully loaded costs, mature cohorts, confidence checks, and explicit limits on attribution and causality.
