Haniaa Khan · imagine-talent

Email

—

Phone

—

GitHub

—

Academic

Program

—

CGPA

—

Year

2025

Education

—

Address

—

DOB

—

Career

Current role

—

Target role

—

Skills

machine learning, sentiment analysis, topic modeling

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.

HOW CUSTOMER ATTENTION SPAN RESPONDS TO SHORT MARKETING STRATEGIES IN COMPARISON TO TRADITIONAL MARKETING STRATEGIES IN TODAY'S TIME.
Digital Platforms like Instagram & TikTok, marketing content on such platforms has become a key strategy for engaging customers. However, this shift raises concerns about the impact on consumer attention span and their behavior. The study explores how short marketing affects consumer attention comparable to traditional marketing strategies. The research focus on key areas like; Attention span trends, engagement patterns, marketing strategies and physiological impact.
With the help of machine learning techniques which include sentiment analysis and topic modeling, this study examines consumer reactions to short marketing content on social media platforms. The findings aim to help marketers and businesses to develop effective strategies for capturing and maintaining consumer attention in an era of fast-paced digital content.
Keywords: consumer attention, attention span, digital engagement, short marketing.
Under the supervision of
Sir Hammad Majeed
Area of Study:
Marketing
Supervisor Name:
Mr. Hammad Majeed
Group Members:
Khunsa Usmani (21I-0091)
Haniaa Khan (21I-0069)
Rimal Amir(21I-0049)
Uswa Ahmad (21I-00110)
FAST NUCES ISLAMABAD CAMPUS

AI enrichment

Haniaa Khan is a Marketing student at FAST NUCES Islamabad who conducted research on the impact of short marketing strategies on consumer attention spans. The study utilized machine learning techniques, including sentiment analysis and topic modeling, to analyze consumer reactions to digital content on platforms like Instagram and TikTok.

Skills (AI)

["Marketing Research", "Sentiment Analysis", "Topic Modeling", "Machine Learning", "Consumer Behavior Analysis", "Digital Marketing"]

Status: ai_done

Provenance

Source file: FAST School of Management - Graduate Directory 2025.pdf
From job #19 page 68
Created: 1778118645