Evrim Aslan

Learn how to test AI email subject lines fairly, choose campaign-appropriate metrics, review generated copy, and preserve experiment records you can trust.

Design a client onboarding questionnaire that routes decisions, protects CRM data, prevents duplicate projects, and connects intake to an owned workflow.

Build a measurable B2B SEO strategy by mapping buyer problems to distinct pages, checking technical eligibility, and separating search evidence from CRM outcomes.

Compare free email accounts by mailbox storage, privacy scope, device access, region, and plan limits, then build a shortlist you can verify.

A practical email-client QA workflow for live-text fallbacks, audience-led testing, Outlook risks, preview checks, and trustworthy rendering records.

Turn AI demand forecasts into a practical readiness plan with defined data grain, capacity tests, approval gates, event controls, and exception owners.

Plan content around a real audience need, verify search readiness, and measure defined interactions and outcomes without confusing activity with impact.

Build an SEO strategy around business outcomes, reliable measurement grains, owned work, and evidence-based decisions rather than traffic alone.

Learn which customer-service tasks suit AI, how to route uncertain cases, prevent duplicate tickets, protect data, and measure quality with effort saved.

Learn how to reduce customer churn by defining the right grain, validating risk signals, routing cause-matched actions, and measuring outcomes consistently.