Consumer responses to the depth and minimum claimed savings of “Scratch and Save (SAS)” promotions
Bibliographic record
Abstract
Abstract This study examines consumers' responses to advertisements employing “Scratch and Save” (SAS) type promotions, which are emerging store‐level promotional tools. Due to SAS promotions' “gambling” characteristics, they offer the possibility of high savings levels, however, they also confront the consumer with uncertainty about the value of the discount at the point of purchase. Particular attention is paid to the depth of the claimed savings, and its effect on regular price believability and consumers' expected savings, as well as perceived value and shopping intentions. The depth of the advertised SAS promotions was observed to not affect consumer believability of the regular price in SAS advertisements. In addition, the disjunction effect is made applicable through showing that the minimum claimed saving information enhances the level of savings expectation. The results also report the positive impact of expected savings on offer value and, in turn, shopping intentions. © 2010 Wiley Periodicals, Inc.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".