Evrim Aslan

Learn how to build evidence-backed buyer personas, separate users from buyers, use AI responsibly, and classify approved personas in a CRM.

Build separate channel and video templates, then validate visible lines, links, chapters, disclosures and API updates before publishing.

Plan YouTube advertising around the right objective, current campaign eligibility, realistic budgets, verified measurement, and reviewable optimization.

Build a workable RevOps model by assigning ownership, documenting handoffs, syncing validated fields, and measuring workflow health separately from revenue outcomes.

Learn what watermarks can do, create a transparent Canva PNG, and track masters, derivatives, licensed previews, and reuse evidence separately.

Compare Profound and Peec AI by metric definitions, reporting paths, plan access and data grain, then test both against your AEO reporting needs.

Choose an AI platform by the workflow it must perform, then define its inputs, validation gate, approved destination, owner, and pilot measures.

Four B2B website examples show how to design buyer tasks with clear inputs, validated outputs, handoffs, bounded AI, and accountable fallbacks.

Plan a CRM data migration with durable crosswalks, separate relationship controls, representative testing, safe retries, and a governed cutover.

Learn how to design growth experiments, define metric grain and guardrails, use HubSpot tests responsibly, and turn results into owned decisions.