Analyzing Important Factors and Metrics for Small Scale Digital Marketing and Its Relevance in the Path of Conversion
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@Article{JICS-15-031,
author = {Prakrit Saikia and Bipllab Roy},
title = {Analyzing Important Factors and Metrics for Small Scale Digital Marketing and Its Relevance in the Path of Conversion},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {15},
number = {1},
pages = {031--044},
abstract = {This study examined the important factors and metrics for achieving goals in small scale digital
marketing campaigns and there relative impact on the path of conversion to design a consolidated value to
evaluate and optimize conversion. The study uses both survey and real time data analysis. Further analysis
include statistical tools like t-test, regression analysis, correlation analysis and factor analysis were used. The
findings shows that factors considered relevant by sellers have significant impact on conversion. The
different types interactions those impact conversion can be expressed in a single value to estimate conversion.
Practical implication of the study is the consolidated value to explain conversion. In low volume analytics a
macro figure is important as highly segregated values are extremely small to explain any impact. Conversion
Path Analysis from ratio correlation and regression analysis to design conversion equation with input factor
flexibility is new concept in developing conversion strategy.
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22395.html}
}
TY - JOUR
T1 - Analyzing Important Factors and Metrics for Small Scale Digital Marketing and Its Relevance in the Path of Conversion
AU - Prakrit Saikia and Bipllab Roy
JO - Journal of Information and Computing Science
VL - 1
SP - 031
EP - 044
PY - 2024
DA - 2024/01
SN - 15
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22395.html
KW - Web analytics, Low volume analytics, Metrics, Conversion rate, Social media marketing
AB - This study examined the important factors and metrics for achieving goals in small scale digital
marketing campaigns and there relative impact on the path of conversion to design a consolidated value to
evaluate and optimize conversion. The study uses both survey and real time data analysis. Further analysis
include statistical tools like t-test, regression analysis, correlation analysis and factor analysis were used. The
findings shows that factors considered relevant by sellers have significant impact on conversion. The
different types interactions those impact conversion can be expressed in a single value to estimate conversion.
Practical implication of the study is the consolidated value to explain conversion. In low volume analytics a
macro figure is important as highly segregated values are extremely small to explain any impact. Conversion
Path Analysis from ratio correlation and regression analysis to design conversion equation with input factor
flexibility is new concept in developing conversion strategy.
Prakrit Saikia and Bipllab Roy. (2024). Analyzing Important Factors and Metrics for Small Scale Digital Marketing and Its Relevance in the Path of Conversion.
Journal of Information and Computing Science. 15 (1).
031-044.
doi:
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