Role of social media in lead generation
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.4.72Keywords:
Social media, Lead generation, Demographics, Digital age.Dimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The role of social media in lead generation is pivotal for contemporary businesses seeking to expand their customer base. Social media platforms serve as dynamic channels for brand promotion, offering widespread visibility and engagement opportunities. Through targeted advertising, businesses can reach specific demographics, ensuring a higher quality of leads. Content marketing on social media, including informative posts and interactive content, establishes credibility and attracts potential leads. Direct interaction with the audience fosters relationships and builds trust, guiding leads through the sales funnel. Additionally, social media facilitates the promotion of lead magnets, such as eBooks or webinars, incentivizing users to provide contact information. Positive social proof garnered through reviews and testimonials enhances a business’s credibility. The objective of the present study is to study the impact of social media on lead generation. The researchers have used descriptive research design for the present study. The nonprobability convenience sampling method is used for the selection of sample size. The data is collected from 215 respondents, with the help of a well-structured questionnaire using the survey method. The results of this study will be helpful to companies in designing their social media strategies to get more leads for their business.Abstract
How to Cite
Downloads
Similar Articles
- Ravikiran K, Neerav Nishant, M Sreedhar, N.Kavitha, Mathur N Kathiravan, Geetha A, Deep learning methods and integrated digital image processing techniques for detecting and evaluating wheat stripe rust disease , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Prakash Lakhani, Premasish Roy, Souren Koner, Deepa Nair, D. Patil, Mona Sinha, Exploring the influence of work-life balance on employee engagement in Mumbai’s real estate industry , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- V Anitha, Seema Sharma, R. Jayavadivel, Akundi Sai Hanuman, B Gayathri, R. Rajagopal, A network for collaborative detection of intrusions in smart cities using blockchain technology , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Belgundkar Babita, Kharde Sangeeta, Dodamani Suneel, Socio-demographic and reproductive determinants of spontaneous abortion- A cross-sectional comparative research at a tertiary care hospital in North Karnataka, India , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- N. Ruba, A. S. A. Khadir, Session password Blum–Goldwasser cryptography based user three layer authentication for secured financial transaction , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Naveena Somasundaram, Vigneshkumar M, Sanjay R. Pawar, M. Amutha, Balu S, Priya V, AI-driven material design for tissue engineering a comprehensive approach integrating generative adversarial networks and high-throughput experimentation , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- K. Vani, S. Sujatha, Fault tolerance systems in open source cloud computing environments–A systematic review , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- S. Vnuchko, O. Batrymenko, О. Ткach, М. Karashchuk, M. Volkivskyi, Models of interaction between business and government in the conditions of the European integration course of Ukraine , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Arenlila Jamir, Sangeeta Kharde, Anita Dalal, Health-seeking behavior of first-time mothers toward pregnancy , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Balaji V, Purnendu Bikash Acharjee, Muniyandy Elangovan, Gauri Kalnoor, Ravi Rastogi, Vishnu Patidar, Developing a semantic framework for categorizing IoT agriculture sensor data: A machine learning and web semantics approach , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
<< < 11 12 13 14 15 16 17 18 19 20 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Shripada Patil, Sandeep N. Jagdale, Prashant Kalshetti, Management education system in the 21st century: Challenges and opportunities , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper