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Sıla Ermut

Sıla Ermut

Industry Analyst
116 Articles
Stay up-to-date on B2B Tech

Sıla is an industry analyst at AIMultiple focused on email marketing and sales videos.

Research interests

Sıla's research areas include email marketing, eCommerce marketing campaigns and marketing automation.

She is also part of AIMultiple's email deliverability benchmark. She is designing and running email deliverability benchmarks while collaborating with the AIMultiple technology team.

Professional experience

Sıla previously worked as a recruiter and worked in project management and consulting firms.

Education

She holds:
  • Bachelor of Arts degree in International Relations from Bilkent University.
  • Master of Science degree in Social Psychology from Başkent University.

Her Master's thesis was focused on ethical and psychological concerns about AI. Her thesis examined the relationship between AI exposure, attitudes towards AI, and existential anxieties across different levels of AI usage.

Latest Articles from Sıla

Enterprise SoftwareJun 27

AI eCommerce: 25 Use Cases to Optimize Sales and CX

AI is helping eCommerce businesses address key challenges like cart abandonment, inefficient customer support, and inventory mismanagement. AI eCommerce tools can reduce churn, optimize operations, and deliver personalized shopping experiences by analyzing customer behavior.. These capabilities not only enhance customer satisfaction but also drive sales growth in a competitive market.

AIJun 26

Top 15 Computer Vision Use Cases with Examples in 2026

With the global computer vision market projected to reach US$30 billion in 2025 (see the graph below), business leaders face a critical challenge: identifying where it delivers ROI, from healthcare diagnostics to automated logistics.

Enterprise SoftwareJun 19

eCommerce Data Collection: Best Practices & Examples

As online shopping grows and customer expectations shift, eCommerce businesses face increasing pressure to stay competitive. Real-world data is key to making faster, smarter decisions. Failing to collect and utilize data properly can result in missed sales, inefficient operations, and poor customer retention.

AIMay 20

Customer Engagement Automation: 5 Tools & Examples

Businesses face rising customer expectations and limited resources, especially as 80% of customers now value their experience as much as the product itself.Meeting these expectations requires clever use of customer engagement automation tools, which we divided into two categories: individual and comprehensive tools.

Enterprise SoftwareApr 2

Top 7 Enterprise eCommerce Platforms: Features & Pricing

Enterprises need these eCommerce capabilities: We selected the top 7 enterprise eCommerce platforms based on their capabilities listed above.

AIMar 25

Image Recognition vs Classification: Applications with Examples

Businesses increasingly leverage AI-powered visual data solutions, but confusion between image recognition and classification leads to inefficiencies. Understanding the key differences helps businesses optimize AI deployment in the security, healthcare, and retail fields. Explore image recognition vs classification, their key differences, and applications with real-life examples.