Customers’ Expectation towards Online Marketing: A Study on Some Economic Zone in Bangladesh
Bibliographic record
Abstract
This paper attempts to analysis the customers’ expectation towards online marketing in Bangladesh. First, it evaluates the impact of independent variables (factors of online marketing) on dependent variable (customers’ satisfaction). In order to do so a survey was conducted through questionnaire and data collected from 200 respondents’. Samples (Individuals and corporate firms) were selected from three economic zones and multiple regression analysis was conducted for the study. It also evaluates customers’ expectation from online marketers. Moreover the study highlights the online marketing strategies. Next, the study focuses on the benefits from online marketing. It also identifies the problems and challenges to develop online marketing strategies. Online marketing opens huge opportunities for marketer and customer where the ratio of benefit is higher than the ratio of costs. Finally, the study provides specific ways to solve the problems emphasizing on online marketing principles and to avail the opportunity to cope with the today’s competitive market. The strategies require continuous improvement and it is expected to be more dynamic in future.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".