Make Golden Context useful with clear customer facts, company rules, ownership and freshness. Build one reliable AI workflow before buying another platform.
Calculate CAC payback using fully loaded acquisition costs and cohort gross profit. Separate observed recovery, forecasts, churn, sales-cycle lag and cash timing.
Compare support AI billing units, Fin outcome types, Zendesk resolution models and Freddy sessions. Forecast the full cost of useful customer resolutions.
Compare Stape and Elevar for Shopify by event coverage, consent, operating responsibility and total cost. Includes current prices and a practical pilot plan.
Improve Meta Event Match Quality with valid identifiers, correct hashing and reliable field delivery. Check consent, deduplication and actual event coverage.
Audit your martech stack by tracing real customer journeys and costs. Includes inventory templates, a review prompt and a method for ranking useful fixes.
Connect HubSpot, GA4, Google Ads and warehouse data to ChatGPT. Use practical prompts and a worked campaign example to verify metrics, coverage and conclusions.
Fix duplicated revenue, permission gaps, stale dashboards and time-zone errors in Metabase. Includes tested SQL and an implementation acceptance checklist.
Design AI agent approvals around exact actions, current record state, shared limits and reliable retries. Includes an approval record and practical tests.
Compare Intercom and Zendesk using support cases, routing, customer context, AI outcome definitions, total cost and a practical migration and pilot plan.
Build a data warehouse ROI model with cash savings, staff capacity, complete costs, rollout delays, NPV and payback. Includes a worked small-company example.
Explore 12 martech stack examples for SaaS, ecommerce, mobile apps and marketplaces. Each covers data flow, ownership, budget assumptions and what to add next.
Use GA4 Ask Advisor, understand the AI Assistant channel, and verify AI analysis with clear metrics, practical prompts and a worked demo-request example.
Claude and ChatGPT answer from whatever your stack gives them. The seven checks that make AI answers on marketing data right, in the order to fix them.