Evrim Aslan

Compare real estate CRM categories, current dated pricing, lead-sync design, duplicate controls, AI review gates, and pilot tests before you buy.

Choose a customer success model using workload, outcomes, risk, and value, then define the owners, data, processes, and automation needed to deliver it.

Choose AI SEO tools by recurring work, data access, and ownership. Start with Search Console and GA4, then add governed diagnostics, drafting, or answer monitoring only for a defined gap.

Choose research, expert commentary, or a maintained guide for the information gap, then audit backlinks, citations, and referral visits as separate metrics.

Compare brand tracking tools by decision and source coverage, then separate AI observations, citations, survey responses, and aggregates for reliable reporting.

Build lasting CRM adoption with readiness gates, named owners, role-based practice, denominator-safe metrics, and carefully bounded automation.

Build CRM data hygiene as a repeatable system of field rules, identity-aware repair, provenance, human review and measurable quality checks.

Design sign-up forms around useful fields, validate on the client and server, separate consent from identity, and route submissions safely.

A practical guide to AI for customer success, covering workflow design, human review, data provenance, safe CRM updates, and platform evaluation.

Estimate HubSpot AI credits from documented action rates and workload scenarios, then validate assumptions with simulations, pilots, and spending controls.